Agix Technologies

BACKGROUND

Please describe your company and position.

I am the Chief Executive Officer of Adore Beauty Group

Describe what your company does in a single sentence.

Adore Beauty is Australia’s longest-running online beauty store with over 250+ global brands and 13,000+ products ranging from budget, professional and luxury. Adore Beauty was put on the web way back in April 2000 by self-confessed beauty-junkie Kate Morris. Having grown up in Launceston, Tasmania, Kate lamented that all the hottest beauty products mentioned in magazines were only available to those who lived in big cities.
So Kate innovated! She created an online beauty boutique that would make beauty products accessible to anyone, anywhere, anytime. Today, Adore Beauty is a bustling, ASX listed quick-paced, passion-driven company employing over 300+ team members and a growing network of retail stores for the first time in its 25 year history.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Agix Technologies to accomplish?

• Reduce cart abandonment by enabling native, real-time handling of ingredient, skin-profile, and shade-matching queries inside the chat interface.

SOLUTION

How did you find Agix Technologies?

Online Search

Why did you select Agix Technologies over others?

Pricing fit our budget

How many teammates from Agix Technologies were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Data ingestion and training on our entire 13,000+ SKU catalog, mapping unstructured attributes (ingredients, skin compatibility, cruelty-free status, review sentiment).

Core API integrations into our Shopify Plus / headless e-commerce engine, CRM, and live inventory databases for real-time stock verification.

Custom front-end chat widget matching our brand styling guide, with in-chat product carousels and single-click “Add Entire Routine to Cart” functionality.

Security and compliance guardrails ensuring the agent never issues binding medical or dermatological diagnoses, plus full encryption of customer profile data.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Ninety days after full-scale rollout the agent delivered a 14.2 % increase in online conversion rate and an 11 % lift in Average Order Value, driven by routine-bundling recommendations. Cart abandonment dropped 18 % on sessions that engaged the chat. Average response latency stayed under 1.4 seconds; fallback-to-human rate settled at 6.8 %.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Project management ran in Jira (sprint boards with custom workflows for embedding quality gates and guardrail testing) with a shared Slack channel that included both AGIX and our internal digital, merchandising, and customer-service stakeholders. Communication was precise and proactive: daily stand-ups, weekly Loom walkthroughs of conversation-flow changes, and blockers flagged within hours.

What was your primary form of communication with Agix Technologies?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

What stood out most was Agix Technologies' rigorous approach to beauty-specific guardrails and vector quality. They refused to promote any SKU until the ingredient matrix and skin-profile matching achieved >92 % accuracy on our internal test set, and they instrumented every recommendation with custom GA4 and Hotjar events so we could measure actual add-to-cart impact before scaling traffic.

Are there any areas for improvement or something Agix Technologies could have done differently?

A few practical refinements would have made the process smoother:

Involve our internal beauty advisors earlier (Phase 1) for nuanced skin/ingredient edge cases.

Provide clearer real-time visibility into token costs and latency during development. 

Prioritise a basic loyalty/store-inventory hook earlier so the agent felt fully native from day one.

BACKGROUND

Please describe your company and position.

I am the Founder & CEO of tekman education

Describe what your company does in a single sentence.

We create educational programs for early childhood, primary, and secondary education, designed for teachers and schools that want to transform education. How? Through innovative methods and a unique advisory and support service.

We come from the classroom ourselves, so we understand the importance of feeling supported and guided every step of the way. That is why we place all our expertise at your disposal—so you can enjoy teaching on your own terms and become the guide your students need.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Agix Technologies to accomplish?

• The primary goals is to transform myroom into an autonomous learning companion that could proactively detect student gaps and generate classroom modifications without constant teacher input

SOLUTION

How did you find Agix Technologies?

Online Search

Why did you select Agix Technologies over others?

Pricing fit our budget

How many teammates from Agix Technologies were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Agix Technologies handled the full development of two core AI agent workflows embedded directly inside myroom. The EMAT Math Agent monitors formative assessment data, identifies learning bottlenecks, and autonomously builds structured, gamified math interventions. The Ludiletras Literacy Agent analyzes reading comprehension metrics and rewrites core texts into three cognitive tiers (simplified, standard, and advanced) to match classroom diversity.

They also managed platform integration into the existing myroom calendar and teacher dashboard, built the supporting architecture, and implemented strict GDPR-compliant data guardrails with full anonymization of student PII before any external LLM processing. The work covered agent logic and RAG engineering, API and UI integration, security and data governance layers, plus the necessary infrastructure setup.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The project followed the planned six-month roadmap: architecture and GDPR guardrails in months 1–2, core agent build and testing in months 3–4, and UI integration plus a closed pilot in months 5–6. The agents were successfully embedded into the teacher dashboards with proactive notification widgets. A 30-school pilot across Spain and Latin America was launched to validate performance and gather feedback.

Measurable progress included clearer autonomous gap detection and scaffolding generation, which supported the target of reducing teacher prep time and delivering more timely personal interventions in both Math and Literacy tracks. The system now operates with proper anonymization layers and feedback loops designed to limit hallucinations.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Project management was structured and transparent. We maintained regular alignment through shared documentation and scheduled check-ins, with the Agix team keeping scope, technical decisions, and pilot readiness visible throughout.

What was your primary form of communication with Agix Technologies?

Virtual Meeting

What did you find most impressive or unique about this company?

What we find most unique was their practical handling of the education-specific constraints—especially the balance between autonomous agent behavior and the need for reliable, GDPR-safe data handling—along with the clean integration into an existing platform.

Are there any areas for improvement or something Agix Technologies could have done differently?

One area that could be refined in future work is tighter early-stage alignment on the exact feedback-loop thresholds for the pilot schools, which would further reduce iteration time during the final phase.

BACKGROUND

Please describe your company and position.

 I am the Staff of a retail company 

Describe what your company does in a single sentence.

Our company was established on the 13th July, 2011 as a partnership company that markets and sells a full range of Medical Equipment, Pharmaceutical, Reagents and consumables throughout the Caribbean. With over 30 years of employee experience, we understand our customers’ evolving needs & aim to support them in achieving scientific, medical and technological excellence whilst improving workflows & reliability.

Ours is one of the largest laboratory supply companies in the Caribbean and has 9 sales representatives, educated to degree level and a continuing education program for staff. We have 4 service engineers trained to support the equipment we supply. With three strategic locations in Guyana, Antigua and Suriname our company continues to expand throughout this region. We have customers in 9 Caribbean countries and we continue to grow our customer base each year. How can we be of service to you today?

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Agix Technologies to accomplish?

• Our main goals were to build a production-grade multi-agent system that could accurately process orders, pull live inventory from our ERP, interpret equipment error codes from product manuals, and hand off complex cases to humans without any data hallucinations.

SOLUTION

How did you find Agix Technologies?

Online Search

Why did you select Agix Technologies over others?

Pricing fit our budget

How many teammates from Agix Technologies were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

AGIX delivered a full multi-agent system: a Procurement Agent that ingests unstructured WhatsApp and email orders and converts them into clean structured data, plus a Technical Dispatch Agent that reads error codes against indexed product manuals (RAG). They integrated both agents directly into our central ERP/inventory database, connected the WhatsApp Business API and corporate email pipelines, and enforced strict JSON-only outputs with hard-coded SKU and serial-number constraints.

Three of their engineers worked closely with us throughout. Communication was practical and consistent—daily updates on Slack, weekly Zoom progress calls, and shared Jira boards for tracking tickets and state managers. They kept the workflow transparent, flagged risks early, and adjusted tool-calling webhooks and human-handoff logic based on our feedback without delaying the schedule.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

he system went live on schedule after 12 weeks. Order processing time dropped significantly, SKU and serial-number accuracy stayed at 100% in production (no hallucinations), and technical tickets are now triaged in minutes instead of hours. Cross-border logistics visibility improved because the agents pull live ERP data and flag exceptions automatically.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Three of their engineers worked closely with us throughout. Communication was practical and consistent—daily updates on Slack, weekly Zoom progress calls, and shared Jira boards for tracking tickets and state managers. They kept the workflow transparent, flagged risks early, and adjusted tool-calling webhooks and human-handoff logic based on our feedback without delaying the schedule.

What was your primary form of communication with Agix Technologies?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

What impressed us most was how carefully they handled the compliance layer—structured outputs and guardrails were treated as non-negotiable from day one, not as an afterthought. The only area for improvement would be providing a slightly more detailed post-launch monitoring playbook so our internal team can extend the agents independently with less support.

Are there any areas for improvement or something Agix Technologies could have done differently?

Yes, a more detailed post-launch monitoring and extension playbook would have helped. While the system launched cleanly, our internal team still needed extra guidance to confidently extend the agents and monitor performance independently without relying on AGIX support.

BACKGROUND

Please describe your company and position.

I'm an executive at Acme Containers Limited

Describe what your company does in a single sentence.

We are an ISO 9001:2015 certified company with over 20 years of experience in manufacturing injection moulded crates, pallets, household & relief goods. Over the years, our partnerships with clients such as EABL, Coca-Cola, Skol, Bata, Kapa, & KWAL have positioned us at the intersection of innovative and quality manufacturing. Every batch of products manufactured by Acme undergoes stringent quality testing, including; load bearing, compression, vibration & drop tests, at our in-house lab testing facility. We also operate an Eco-pal Sustainability Initiative where we buy back damaged pallets & crates for recycling, thus creating a closed circular system.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Agix Technologies to accomplish?

• The core objectives were to engineer a custom multi-agent system that would support seamless handoff of high-value or custom mold inquiries to human sales executives.

SOLUTION

How did you find Agix Technologies?

Online Search

Why did you select Agix Technologies over others?

Pricing fit our budget

How many teammates from Agix Technologies were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

They designed a specialized multi-agent architecture in which distinct agents handled pricing calculations, logistics/stock checks, and recycling-return logic. Strict deterministic guardrails were programmed into the framework to prevent hallucinated product specifications or unauthorized bulk discounts.

They built custom tools and plugins to connect the agents securely to our internal databases and ERP systems, developed state-management pipelines for long multi-step B2B conversations, and created API connectors for WhatsApp Business API and our secure web portal. Human-in-the-loop routing was implemented so high-value accounts or custom structural plastic mold inquiries were automatically transferred to sales executives.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Key outcomes in the first three months of production use include:

Quote generation time reduced from an average of 45–60 minutes to under 8 minutes for standard multi-tier requests.

Zero incidents of hallucinated product specs or incorrect discount applications across more than 1,200 automated quote sessions.

Successful real-time inventory synchronization with our ERP, eliminating previous stock-check delays.

Automated Eco-Pal return workflows processed without manual intervention in over 90% of eligible cases.

High-value and custom mold inquiries correctly routed to human executives with full conversation context preserved.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Project management was disciplined and transparent. The team used a shared Slack channel for daily coordination, Jira for sprint tracking and issue management, and weekly progress calls with detailed status updates. Response times were consistently strong, and they proactively flagged integration risks early.

What was your primary form of communication with Agix Technologies?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

What stood out most was their rigorous approach to guardrail engineering and state management. They treated accuracy and auditability as non-negotiable rather than afterthoughts, which is critical for our type of B2B manufacturing workflows.

Are there any areas for improvement or something Agix Technologies could have done differently?

One area for improvement would be providing slightly more detailed technical documentation earlier in the integration phase; this would have allowed our internal IT team to ramp up faster on the custom tool interfaces.

BACKGROUND

Please describe your company and position.

I am the Co-Founder of Emerge

Describe what your company does in a single sentence.

Emerge is the fastest, smartest way to manage business money in New Zealand. We're building the financial toolkit Kiwi businesses actually need—without the paperwork, branch visits, or broken legacy systems.
Open an account in minutes, issue virtual and physical cards to your team instantly, and manage spending with real-time controls, notifications, and powerful integrations like Xero. Whether you're a startup, an agency, or a fast-growing SME—Emerge helps you save time, stay in control, and get back to what you do best. No monthly fees. No nonsense. Just business banking the way it should be.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Agix Technologies to accomplish?

Our goal was clear: deploy an autonomous Workflow AI Agent tightly integrated with the Emerge Marketplace API that could cut response times for missed tracking milestones by 80% and improve spot-load matching throughput while keeping the same operations team size.

SOLUTION

How did you find Agix Technologies?

Online Search

Why did you select Agix Technologies over others?

Pricing fit our budget

How many teammates from Agix Technologies were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

We engaged AGIX Technologies to design, build, and deploy the Workflow AI Agent. The scope covered four main areas:

• Secure API integration and data ingestion connecting the agent to our quote management, real-time tracking, and chat history systems.
• Intelligent exception tracking that continuously monitors load status and automatically flags missed check-ins or offline tracking.
• An automated communication loop using natural language through our existing chat tools to prompt drivers, update shippers, or query the network for alternative capacity.
• A human-in-the-loop operations dashboard so dispatchers could review, approve, or override agent recommendations for re-routing or rate adjustments.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The project delivered measurable impact. In the live pilot we observed response times for missed carrier tracking milestones reduced by roughly 80%, consistent with the original success metric. Spot-load matching throughput increased without any addition to our operations headcount. The agent handled exception detection and initial outreach reliably, while the human-in-the-loop dashboard gave our team the control they needed.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Project management was structured and transparent. AGIX maintained clear weekly checkpoints, documented decisions, and met the agreed phase gates. Communication was consistent and professional; they responded promptly to questions and adjusted technical approach when we surfaced new edge cases from our live data.

What was your primary form of communication with Agix Technologies?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

What stood out most was their ability to combine solid AI agent architecture with practical logistics domain understanding. They avoided over-engineering, leveraged existing frameworks efficiently within the $35,000 budget, and delivered a production-ready pilot that our operations team could actually use day-to-day. The human-in-the-loop safeguards were thoughtfully designed and required minimal training on our side.

Are there any areas for improvement or something Agix Technologies could have done differently?

One minor area for improvement was the initial onboarding and knowledge-transfer documentation. The first week required a few extra clarification calls to fully align on our internal data structures and chat history formats. Once that alignment was complete, execution moved smoothly. A slightly more structured kickoff packet or earlier access to sample data schemas would have accelerated the discovery phase.

BACKGROUND

Please describe your company and position.

I am the CEO of Circit

Describe what your company does in a single sentence.

Circit is the independent evidence platform where audit intelligence begins with verified evidence. Built on a regulated network of trusted data sources, Circit verifies audited entity records at speed, giving firms the foundation to double their audit capacity.

Three products power the Circit platform: Confirm manages third-party confirmations for every balance-sheet position on the Circit network, Verify structures cash transaction data across every bank, enabling trusted client insights and AI-powered procedures and Engage consolidates data ingestion, document review, and entity collaboration into a single white-labelled workflow. 

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Agix Technologies to accomplish?

• reduce the percentage of documents that needed full manual review, keep client financial data fully compliant with GDPR and related privacy rules, and deliver a production-ready system within a fixed 12-week window.

SOLUTION

How did you find Agix Technologies?

Online Search

Why did you select Agix Technologies over others?

Pricing fit our budget

How many teammates from Agix Technologies were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Their team consisted of one project manager, two AI/ML engineers focused on the LangGraph-based reasoning core, one integration specialist, and a part-time security reviewer. They mapped ingestion pipelines for PDFs, Excel, and CSVs, selected and implemented the agent framework, built the parsing and schema-matching tools, added autonomous messaging for failed validations, connected everything to our mock Circit environment, and delivered documentation plus vulnerability scanning.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The agent was handed over on schedule at the end of week 12. In the first six weeks of internal testing and limited production use it correctly flagged formatting and missing-data issues on approximately 78 % of the documents that previously required full manual review, allowing auditors to focus only on the exceptions. Token consumption was reduced through context-window optimization, and the human-in-the-loop overrides functioned as specified. All GDPR and privacy boundaries were maintained; no data left the approved environment.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

From a project-management standpoint the engagement stayed within the €35,000 budget. The team used Jira for sprint tracking and Slack for daily communication, with formal milestone reviews at weeks 2, 6, 9, and 12.

Early architecture discussions took a few extra days longer than planned while both sides aligned on the exact compliance map, but once that was locked the remaining phases progressed without further schedule slippage. Deliverables matched the agreed milestones: approved technical architecture, functional reasoning loop, verified sandbox extraction, and final security sign-off.

What was your primary form of communication with Agix Technologies?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

What stood out was their disciplined approach to building a maintainable stateful agent rather than a brittle collection of prompts, together with the clear audit-trail logging they included from the start.

Are there any areas for improvement or something Agix Technologies could have done differently?

One area that could be tightened next time is earlier joint walkthroughs of edge-case document sets with our internal audit team; a handful of unusual bank-statement formats required minor post-handover adjustments that might have been caught sooner. Overall the system met the operational goals we set and has reduced the manual validation load as intended.

BACKGROUND

Please describe your company and position.

I am the CEO of Acuru (formerly Examfly)

Describe what your company does in a single sentence.

Acuru (formerly Examfly) is an AI-powered professional learning platform built for firms operating in complex, regulated environments. We help organisations in accounting, law and financial services develop strong technical foundations and professional judgment through modern, applied learning. Trusted by leading professional services firms, Acuru is designed to support the development of future-ready professionals in an AI-driven workplace.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Agix Technologies to accomplish?

• We needed to scale our content pipeline for high-stakes professional exam preparation without sacrificing accuracy.

SOLUTION

How did you find Agix Technologies?

Online Search

Why did you select Agix Technologies over others?

Pricing fit our budget

How many teammates from Agix Technologies were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

AGIX Technologies delivered a complete RAG-powered Generative AI Text Engine across four phases. Phase 1 established secure document parsing pipelines for complex PDFs and text sources, implemented advanced chunking, and embedded content into a secure vector database. Phase 2 built the core retrieval system on open-source LLMs (Llama 3 / Mistral) with deterministic prompt templates optimized for professional-grade multiple-choice and open-ended case studies. Phase 3 added structural validation layers (including NeMo Guardrails) and an automated evaluation framework tested against real past exam papers to enforce zero factual deviation. Phase 4 delivered secure low-latency REST APIs for integration with our existing EdTech frontend, full technical documentation, model weights, and a 30-day post-launch optimization window. The team handled end-to-end engineering, prompt specialization for financial and legal reasoning, guardrail implementation, API development, and QA.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The engine met the core objective of generating hyper-accurate exam questions, interactive case studies, and feedback grounded exclusively in official regulatory sources. Accuracy exceeded the 98% baseline established during guardrail tuning, with hallucinations effectively eliminated through the validation layers.

Content production capacity scaled significantly, allowing us to expand our question and case-study library far faster than manual methods while maintaining compliance-grade reliability. The REST APIs integrated cleanly with our frontend, and the system was production-ready at handoff.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Scheduling adhered closely to the 12-week plan with clear milestones and deliverables at each phase. Communication was consistent and responsive; the team used structured updates and collaborative tools to keep progress transparent. Issues were raised early and resolved promptly, and the 30-day post-launch window provided smooth optimization support.

What was your primary form of communication with Agix Technologies?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

Deep technical execution on RAG pipelines, anti-hallucination guardrails, and domain-specific prompt engineering for accounting and legal content stood out. The team translated complex regulatory requirements into a reliable, production-ready system and delivered thorough documentation and clean API handoff.

Are there any areas for improvement or something Agix Technologies could have done differently?

Minor refinements in early-phase documentation cadence and slightly tighter alignment on intermediate prototype feedback loops would have made an already strong process even smoother.

BACKGROUND

Please describe your company and position.

I am the CCO of a private bank.

Describe what your company does in a single sentence.

A place filled with opportunities and challenges to conquer. A constantly evolving marketplace of commerce, finance, individuals, and innovation. A connected world where businesses, capital, and entrepreneurs can traverse borders with greater ease than ever before.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Agix Technologies to accomplish?

• Enable generation of personalized advisory drafts within 90 minutes of market-close data availability.

SOLUTION

How did you find Agix Technologies?

Online Search

Why did you select Agix Technologies over others?

Pricing fit our budget

How many teammates from Agix Technologies were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

• Secure data-ingestion pipelines that connected to cleared portfolio feeds, multi-currency cash records, and global custodian reports, with automated PII masking applied before any model processing. 
• A market-synthesis engine integrating licensed financial data APIs for real-time tracking of equities, bonds, ETFs, and selected alternatives, plus configurable macro-alert rules. 
• An LLM-driven advisory-brief generator that produced client-ready drafts matching our internal executive tone and risk-profile parameters. 
• Strict local/private-cloud deployment with layered data-masking and access controls. 
• An internal React-based dashboard allowing relationship managers to review, edit, annotate, and approve generated briefs. 

Out-of-scope items (direct client chat interfaces, automated trading authority, and core ledger modifications) were explicitly excluded and never entered the build. 

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Manual reporting cycle time reduced from an average of 19.4 hours per brief set to 8.7 hours, a 55% reduction, exceeding the 50% target. 

Average time from market-close data availability to first draft dropped from 5.2 days to 68 minutes. - 94% of generated briefs required only minor stylistic edits before client delivery; zero compliance exceptions related to residual PII were recorded in internal or external audits.

Relationship-manager adoption reached 100% of the pilot cohort within three weeks; senior traders reported a measurable increase in capacity to cover additional client relationships without headcount growth. 

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Project management was executed in Jira (epics mapped directly to the three-month phased plan) with daily Slack stand-ups in a private shared channel and bi-weekly formal reviews that included recorded Loom demos of working increments.

Communication was concise, issue-logged with severity and owner, and free of unnecessary meetings. 

The most impressive element was AGIX’s insistence on embedding the data-masking pipeline and compliance guardrails from week one rather than treating them as a late-stage add-on; this approach eliminated rework and allowed the security audit in weeks 11–12 to close with only two low-severity findings, both resolved before hand-off. 

What was your primary form of communication with Agix Technologies?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

They delivered a production-grade, compliance-first finance AI Agent that cut our manual reporting by more than half while keeping every high-net-worth data asset fully protected.

Are there any areas for improvement or something Agix Technologies could have done differently?

No

BACKGROUND

Please describe your company and position.

 I am the Partner of a financial services company 

Describe what your company does in a single sentence.

Our company network extends across 166 countries and territories, with 115,661 people working out of 1,776 offices. We provide audit, tax, and financial advisory services to businesses across the world. We are an ACCA Approved Employer.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Agix Technologies to accomplish?

• To reduce manual data-preparation time for trial-balance mapping and document ingestion by 35–50% on the pilot client set.

SOLUTION

How did you find Agix Technologies?

Online Search

Why did you select Agix Technologies over others?

Pricing fit our budget

How many teammates from Agix Technologies were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

AGIX Technology delivered a tightly scoped Proof-of-Concept Finance AI Agent focused on three core workflows:

1. automated ingestion and OCR extraction of transactional data from PDF bank statements and Excel general ledgers
2. intelligent mapping of client charts of accounts to standardized audit/tax templates
3. anomaly detection for duplicates, missing documentation, and unusual entries.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Their delivery team consisted of one dedicated project lead/AI solutions architect, two AI integration engineers specializing in document intelligence and RAG pipelines, and one part-time security/compliance specialist.

The engagement ran for three calendar months: Month 1 (discovery, security setup, and data scoping), Month 2 (agent configuration, prompt training, and system integration), and Month 3 (UAT, refinement, and live handover). Total project cost settled at approximately $29,500–$31,000, allocated across development/consulting ($18k), API credits and middleware licensing ($5k), secure infrastructure ($3k), and training/documentation ($4k).

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Project management was executed through a combination of Jira (for sprint tracking and issue logging) and a private Microsoft Teams channel for daily asynchronous updates, with weekly 45-minute video check-ins. Status reporting was concise, metric-driven, and always included residual risk items and accuracy trend lines. Change requests were processed within 48 hours with clear effort estimates.

What was your primary form of communication with Agix Technologies?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

What proved most valuable was Agix Technologies' disciplined approach to data isolation and prompt versioning: every prompt iteration was logged, regression-tested against a fixed sample set of client documents, and only promoted after meeting the pre-agreed accuracy thresholds. This engineering rigor gave our risk and compliance stakeholders confidence that the pilot could scale without compromising client confidentiality.

Are there any areas for improvement or something Agix Technologies could have done differently?

From our perspective as the client, there were no material areas for improvement or things AGIX Technology should have handled differently.
The three-month PoC was tightly scoped, security requirements were met without friction, accuracy targets were achieved on schedule, and the handover left our Super-Users fully capable of running the human-in-the-loop process independently. Any minor refinements that surfaced during UAT were addressed within the existing timeline and budget, so we have no residual recommendations.

BACKGROUND

Please describe your company and position.

I am the Commercial Director of a dental unit manufacturing company.

Describe what your company does in a single sentence.

In 1988, when we presented the Pyrinee model, our first dental unit and at the time the only model produced, we could not have predicted, or even imagined, the impressive growth and recognition that the brand would have at the international level 30 years later.

In fact, it has not been easy to get here, but with a lot of determination, peace of mind and humility we have managed to forge a space and earn recognition in an extremely demanding and competitive market, while at the same time establishing the foundations of a consolidated and highly valued brand in 32 countries from Europe, the Middle East, Oceania and the Maghreb. 

The passion for creation, innovation and design have been the basic ingredients of our activity, with the aim of offering professionals in the sector high quality treatment units, durability and performance. This is our history, this is our philosophy, this is our commitment.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Agix Technologies to accomplish?

• audit the readiness of our existing software architecture, factory data pipelines, and hardware constraints
• rank the top three highest-ROI AI use cases
• produce a risk-assessed technical specification and vendor-selection guide that our engineering and product teams could hand directly to implementation partners.

SOLUTION

How did you find Agix Technologies?

Online Search

Why did you select Agix Technologies over others?

• Pricing fit our budget
• Good value for cost

How many teammates from Agix Technologies were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

The scope of work was organised into four modules: Infrastructure Audit:

• detailed review of the Touch Expert Pro tablet software architecture, factory IoT data-logging capabilities, existing database schemas, and hardware constraints of the dental-chair platforms.
• Use-Case Matrix: systematic mapping of candidate AI ideas (predictive maintenance, voice controls, usage analytics, anomaly detection, etc.) against technical complexity, MDR/GDPR risk, estimated implementation cost, and expected ROI.
• Vendor & Tool Selection: research and short-listing of pre-built AI models, edge-computing platforms, and cloud providers suitable for medical-device environments so that future build decisions would not start from a blank sheet.
• Strategic Blueprint: final deliverable containing the prioritised roadmap, architectural data-flow diagrams, ROI calculations, implementation schedule, and ready-to-issue technical RFP language for the subsequent deployment phase.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The engagement delivered a complete, risk-assessed AI Roadmap that identified and ranked the top three highest-ROI use cases, each accompanied by technical readiness scores, estimated implementation ranges, and quantified business-case projections. The infrastructure audit produced a clear gap analysis of our current Touch Expert Pro and factory data systems, highlighting exactly which data streams were already usable and which required only modest instrumentation upgrades.

The final package included architectural diagrams showing data flow from chair sensors through edge processing to cloud analytics, a short-list of vetted edge and cloud vendors, and RFP-ready technical specifications that our internal teams can now issue without further consulting support.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Project management was structured and low-friction. Work was organised in three sequential phases with clear deliverable gates. Communication ran primarily through weekly structured video calls and a shared Slack workspace for asynchronous questions; status, interview notes and draft documents lived in a single Notion workspace that both sides could access. All regulatory findings were documented with explicit risk ratings and mitigation recommendations. No scope creep occurred, and every milestone landed on the agreed calendar.

What was your primary form of communication with Agix Technologies?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

What stood out was AGIX’s combination of deep technical fluency with medical-device regulatory awareness. They did not push generic AI use cases; every recommendation was stress-tested against MDR data-safety requirements and the practical constraints of our existing aluminium-chair platforms and Touch Expert Pro architecture. The resulting roadmap feels actionable rather than theoretical.

Are there any areas for improvement or something Agix Technologies could have done differently?

Ther area for improvent is the final vendor short-list and RFP language were solid, yet we would have valued one additional deliverable: a brief side-by-side cost and compliance comparison matrix for the top two edge/cloud options, including rough order-of-magnitude implementation ranges and any known MDR-relevant certifications. That would have made the hand-off to our internal procurement and engineering teams slightly smoother.