Madhi AI is an applied AI consultancy specializing in production-grade agent systems, RAG, workflow automation, voice AI, and AI implementation for real business operations.
We help companies move from AI experimentation to reliable AI execution by designing the full operating layer around AI: agent harnesses, context management, memory, tool use, workflow state, approvals, integrations, evaluations, fallback handling, and deployment.
Our focus is not just on models. We build the architecture that allows AI systems to understand the right context, follow business rules, use tools safely, involve humans when needed, and work reliably inside existing business workflows.
Our core services include:
• Custom AI agents for operations, support, research, reporting, and execution • Agent harness engineering for memory, tools, state, approvals, and workflow control • RAG and context engineering over documents, PDFs, emails, transcripts, SOPs, and internal knowledge • Workflow automation across CRMs, databases, spreadsheets, emails, and internal tools • Voice AI agents for booking, qualification, support, lead handling, and post-call workflows • Document processing and structured data extraction • Text-to-SQL agents and business reporting systems • LLM, SLM, and fine-tuned AI systems optimized for quality, latency, cost, and privacy • AI evaluations, guardrails, reliability checks, and human-in-the-loop review
Madhi AI is best suited for companies that want to reduce manual work, automate repetitive processes, improve decision-making, build internal knowledge systems, or create AI agents that work across existing tools.
We do not just connect an LLM API and call it an AI product. We design, build, and deploy practical AI systems that move beyond demos and deliver real operational value.
"Madhi AI is always available to help and is very responsive throughout the project."
May 12, 2026
Lead Consultant, IT Company
Anonymous
Verified
Information technology
Surbiton, England
11-50 Employees
Online Review
Verified
Madhi AI has developed an AI model that extracts structured invoice information from various invoice formats for an IT company. The team has extracted key invoice fields, optimized the model, and validated it.
Madhi AI has successfully automated invoice data extraction, reducing manual effort and improving processing speed. The client has achieved a 90% improvement in invoice extraction accuracy and increased operational efficiency for downstream processing.
BACKGROUND
Introduce your business and what you do there.
I’m the lead consultant of an IT company that provides integrated accounting, finance, BPO, and technology solutions to help businesses streamline operations, boost efficiency, and achieve sustainable growth across the UK, India, Sri Lanka, and Australia.
OPPORTUNITY / CHALLENGE
What challenge were you trying to address with Madhi AI?
We hired Madhi AI to build an AI model to extract invoice information automatically for further business processing. The goal was to reduce manual data entry, improve accuracy, and speed up invoice handling workflows.
SOLUTION
What was the scope of their involvement?
Madhi AI has developed an AI model capable of extracting structured invoice information from different invoice formats. The team has extracted key invoice fields, optimized the model, and validated it to improve extraction accuracy and reliability. Madhi AI has also provided integration support to enable downstream processing and business workflows. The team has also provided documentation and knowledge transfer to support ongoing usage and maintenance.
Moreover, Madhi AI has supported data collection and training dataset preparation.
What is the team composition?
We’ve worked with 2–5 teammates from Madhi AI.
How did you come to work with Madhi AI?
Someone referred Madhi AI to me. I chose them over other options because they were close to my geographic location, had a great culture fit, and their company values aligned with ours.
How much have you invested with them?
The project cost is confidential.
What is the status of this engagement?
We started working with Madhi AI in January 2025, and our engagement is ongoing.
RESULTS & FEEDBACK
What evidence can you share that demonstrates the impact of the engagement?
Madhi AI has successfully automated invoice data extraction, reducing manual effort and improving processing speed. We’ve seen a 90% improvement in accuracy when extracting invoice information and improved operational efficiency for downstream processing.
How did Madhi AI perform from a project management standpoint?
Madhi AI has mostly delivered on time. We communicate via in-person meetings, virtual meetings, and emails or messaging apps.
What did you find most impressive about them?
Madhi AI is always available to help and is very responsive throughout the project. Their support, flexibility, and commitment to solving issues stand out.
Are there any areas they could improve?
Overall, we’ve had a positive experience. If anything, more upfront discussions around architecture alternatives and additional cost optimization options at the beginning of the project could have added further value.
RATINGS
4.0
Quality
4.0
Service & Deliverables
Schedule
4.0
On time / deadlines
Cost
3.0
Value / within estimates
Willing to Refer
4.0
NPS
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1 Reviews
Our Story
Arun and Lugman founded Madhi AI to make AI reliable for real business use, not just impressive demos. We build production-grade agentic systems with the right architecture around cost, latency, accuracy, privacy, and governance. Madhi means “intelligence” in Tamil, and that is our north star: helping companies build AI that is trusted by teams, grounded in real workflows, and ready to scale in production.
Meet the Team
Arun KarunagaranCo-founder
Arun is a product and AI systems builder focused on making AI work in production. He specializes in architecture, evaluation, and workflow design, and brings go-to-market depth to build systems teams trust and use in real operations.
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