CRM System & AI Chatbot Dev for AI Company
- AI Development CRM Consulting and SI Web Development
- $50,000 to $199,999
- Jan. 2024 - July 2025
- Quality
- 5.0
- Schedule
- 4.0
- Cost
- 5.0
- Willing to Refer
- 5.0
"Unlike many vendors, Ignify operated as a true partner."
- Real estate
- Singapore
- 51-200 Employees
- Online Review
Ignify built and deployed an AI-powered CRM system integrated with a conversational chatbot for an AI company. The system was designed to enhance customer engagement and automate sales and marketing.
Ignify's work resulted in a 7% increase in the client's CSAT score, a 90% reduction in response time, and an 87% increase in lead-to-customer conversions. Furthermore, the team had strong project management skills, adhered to timelines, and was highly responsive to the client's needs.
The client submitted this review online.
BACKGROUND
Please describe your company and position.
I am the CEO of BLUE STAR JSC
Describe what your company does in a single sentence.
AI market for work
OPPORTUNITY / CHALLENGE
What specific goals or objectives did you hire Ignify to accomplish?
- Enhance Customer Insights through AI-Driven Analytics Leverage AI capabilities to analyze historical CRM data and provide predictive insights into customer behavior, purchase likelihood, and churn risk—enabling more personalized engagement strategies.
- Automate Lead Scoring and Sales Prioritization Implement machine learning models to automatically score leads based on intent signals, engagement patterns, and historical conversion rates—allowing sales teams to focus on high-probability opportunities.
- Improve Customer Support Efficiency with AI Assistants Deploy AI-powered virtual assistants and NLP models to handle routine customer inquiries, provide instant responses, and route complex issues to human agents—reducing response times and increasing customer satisfaction.
SOLUTION
How did you find Ignify?
Online Search
Why did you select Ignify over others?
- Pricing fit our budget
- Great culture fit
- Good value for cost
- Company values aligned
How many teammates from Ignify were assigned to this project?
6-10 Employees
Describe the scope of work in detail. Please include a summary of key deliverables.
The objective of this project is to design, develop, and deploy an AI-powered CRM system integrated with a conversational chatbot to enhance customer engagement, automate service operations, and provide data-driven insights to support business decisions.
CRM Core Modules Development
- Customer Profile Management
Capture and manage customer details, contact history, and interaction logs. - Lead and Opportunity Management
Track sales leads, automate follow-ups, and monitor pipeline progression. - Sales and Marketing Automation
Schedule campaigns, send personalized messages, and manage email/SMS workflows. - Task and Activity Tracking
Assign tasks, set reminders, and track interactions with customers.
AI Chatbot Integration
- Conversational AI Setup
Design a chatbot capable of handling customer inquiries across web, mobile, and messaging platforms. - CRM Integration
Allow the chatbot to access and update CRM records (e.g., create leads, schedule follow-ups, update support tickets). - Intent Recognition and NLP
Use natural language processing (NLP) to understand user input and trigger relevant workflows (e.g., booking demo, checking order status). - Self-Service Functions
Enable customers to perform common actions via chatbot (e.g., updating info, scheduling appointments).
Analytics and Reporting
- Customer Sentiment Analysis
Analyze chatbot interactions for sentiment and satisfaction scoring. - Performance Dashboards
Provide real-time metrics on leads, response times, chatbot efficiency, and customer engagement.
RESULTS & FEEDBACK
What were the measurable outcomes from the project that demonstrate progress or success?
Increased Lead Conversion Rate
- Before: 8%
- After: 15%
- Impact: AI-powered lead scoring and chatbot qualification improved prioritization and follow-ups, resulting in a +87% increase in lead-to-customer conversions.
Reduced Customer Response Time
- Before: Average response time = 3 hours
- After: 24/7 AI chatbot = immediate response for 80% of inquiries
- Impact: Reduced first-response time by 90%, improving customer satisfaction and decreasing support load on human agents.
Increase in Customer Engagement
- Chatbot Engagement Rate: 35% of website visitors interacted with the bot
- Completion Rate: 72% of users completed key workflows (e.g., booking demo, updating info) via chatbot
- Impact: Self-service features led to higher retention and lower drop-off rates during early interactions.
Automation of Repetitive Tasks
- Manual Tasks Automated: 60% of ticket classification, lead routing, and follow-up messages handled by AI
- Time Savings: Estimated 200+ hours/month saved for sales and support teams
- Impact: Teams could focus more on high-value interactions.
Improved Customer Satisfaction (CSAT)
- Before: 3.8 / 5
- After: 4.5 / 5
- Method: CSAT scores collected post-interaction via chatbot
- Impact: Smarter, faster service delivery drove noticeable improvement in customer experience.
Describe their project management. Did they deliver items on time? How did they respond to your needs?
Ignify demonstrated strong project management capabilities throughout the engagement. They adhered closely to the agreed project timeline and milestones, using structured methodologies to manage deliverables effectively.
On-Time Delivery:
All major phases—including requirements gathering, MVP delivery, AI chatbot integration, and UAT—were completed on schedule. Minor adjustments to timelines were proactively communicated and managed without impacting overall deadlines.
Responsiveness to Needs:
Ignify maintained open and consistent communication channels via weekly progress calls, real-time collaboration tools (e.g., Teams, Jira), and a dedicated project coordinator. They were highly responsive to evolving business requirements, often incorporating feedback within short turnaround times.
Change Management & Flexibility:
During scope adjustments (e.g., expanding chatbot capabilities to handle multi-language inputs), Ignify was flexible and quick to assess impacts, update timelines, and propose alternative solutions without compromising quality.
Issue Resolution:
When technical challenges arose—such as CRM integration API rate limits—Ignify identified root causes quickly and worked with stakeholders to implement practical fixes with minimal disruption.
What was your primary form of communication with Ignify?
Virtual Meeting
What did you find most impressive or unique about this company?
AI Expertise with Real-World Impact:
Their team demonstrated advanced knowledge in AI, particularly in NLP and lead scoring, and translated that into practical, high-impact features that delivered measurable business value.
User-Centric Design Approach:
Ignify placed a strong emphasis on usability. Both the CRM interface and chatbot were intuitive, well-documented, and easy for non-technical staff to adopt—leading to faster user adoption and fewer support issues.
Commitment to Collaboration:
Unlike many vendors, Ignify operated as a true partner. They offered strategic input beyond their scope, often suggesting improvements in workflows, automation opportunities, and long-term scalability.
Are there any areas for improvement or something Ignify could have done differently?
While Ignify delivered a successful project overall, there were a few areas where improvement could further enhance future collaborations:
More Proactive Documentation
While technical documentation was eventually provided, some components—especially related to chatbot training datasets and CRM API configuration—could have been delivered earlier or in more detail to support internal teams with testing and future maintenance.
Stronger Post-Go-Live Support Planning
The transition from implementation to support could have been more structured. A more formalized handover plan or a short-term hypercare phase would have helped address post-launch questions and small adjustments more smoothly.
Greater Stakeholder Alignment During Scope Changes
During scope adjustments (e.g., expanding chatbot intents), alignment with all stakeholders took some iteration. Earlier flagging of downstream impacts on budget and timeline would help decision-makers respond faster.
RATINGS
-
Quality
5.0Service & Deliverables
-
Schedule
4.0On time / deadlines
-
Cost
5.0Value / within estimates
-
Willing to Refer
5.0NPS