Bill verification from 5–7 days to under one hour
AI document extraction, 36-rule checks and an approval trail.
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Bizgenix AI helps businesses in India automate sales, customer service, HR, finance, and daily operations with AI agents, workflow automation, CRM systems, voice AI, and WhatsApp automation. We deliver tailored AI solutions that streamline workflows and integrate with existing business systems.Bizgenix AI helps businesses in India automate sales, customer service, HR, finance, and daily operations with AI agents, workflow automation, CRM systems, voice AI, and WhatsApp automation. We deliver tailored AI solutions that streamline workflows and integrate with existing business systems.
ABOUT BIZGENIX AI
Bizgenix AI helps businesses in India automate sales, customer service, HR, finance, and daily operations with AI agents, workflow automation, CRM systems, voice AI, and WhatsApp automation.
We build tailored AI solutions that streamline workflows and integrate with existing business systems.
Explore Our AI Solutions→AI-Powered


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Start with what needs to improve
Enquiries missed after 7 pm? MIS rebuilt in Excel every month? Payments nobody chased? We map the workflow and build around it.
Discuss your workflow→Growth Intelligence for Tally visibility, plus CRM, ScaleOS, Voice AI and BizChat.
Explore products→Live events, the 12-week programme and corporate training.
Explore learning→BUILT FOR THE WAY YOU WORK
Your workflows. Your challenges. AI that fits right in.

Production planning, quality inspection, machine data, inventory and MIS automation.

Fabric workflows, production tracking, payment recovery, order visibility and Tally integration.

Lead qualification, site-visit scheduling, CRM follow-ups, billing and project workflows.

Appointment handling, patient communication, records, billing and operational reporting.

Admissions, learning platforms, student support, course portals and reporting automation.

Tally analytics, client servicing, documentation, compliance and receivable tracking.

Customer support, order workflows, inventory alerts, campaigns and sales analytics.

Enquiry management, booking support, guest communication and review automation.

Production planning, quality inspection, machine data, inventory and MIS automation.

Fabric workflows, production tracking, payment recovery, order visibility and Tally integration.

Lead qualification, site-visit scheduling, CRM follow-ups, billing and project workflows.

Appointment handling, patient communication, records, billing and operational reporting.

Admissions, learning platforms, student support, course portals and reporting automation.

Tally analytics, client servicing, documentation, compliance and receivable tracking.

Customer support, order workflows, inventory alerts, campaigns and sales analytics.

Enquiry management, booking support, guest communication and review automation.
8 industries. Endless possibilities.
03 / BUSINESS PROBLEMS WE SOLVE
We identify where time, leads, money and management attention are getting lost, then build the right AI system around that problem.
Una Homes · Contractor billsBill verification from 5–7 days to under one hourUna Homes · Contractor bills
AI document extraction, 36-rule checks and an approval trail.
View case study →
Bhaskar Silk Mills · Operations80+ spreadsheets replaced by one operating systemBhaskar Silk Mills · Operations
Production, CRM, payments and follow-ups in one system.
View case study →
Waffle Castle · Franchise operationsEvery franchise operation in one viewWaffle Castle · Franchise operations
Store openings, handoffs and ad-fund collection in one control tower.
View case study →Results are documented in the Bizgenix AI Case Study Booklet, 2026, for each implementation.
Businesses that trust Bizgenix to make everyday work clearer, faster and more connected.
In garments, one delayed handoff affects everything after it. We wanted the routine updates and follow-ups to happen on their own, without changing how the floor team works. Now I don’t need to call five people just to know where an order is.

Stock was never one clean answer. Someone had one sheet, the godown had another number, and we would confirm it again before committing to a customer. The inventory system has given us one place to check what came in, what moved and what is actually available.

Debt-recovery calls are repetitive, but they still need to sound respectful. The voice agent handles the first follow-up, notes the customer’s response and records a promised payment date. My team steps in when a real conversation is needed instead of spending the day dialling numbers.

We were reviewing only a handful of sales calls because listening manually takes too long. The AI now transcribes every call, checks it against our script and gives the agent a clear score. Coaching conversations are far more useful now.

My follow-ups were split between email, WhatsApp and a separate cheque list, so it was easy to miss something on a busy day. Now important emails are sorted, WhatsApp messages go out on time and cheque reminders run before the deposit date. I only get involved when the system flags an exception.

We have years of industry knowledge, but it was sitting across product sheets, test reports and old documents. With the RAG model, the team can ask a technical question in plain language and see an answer grounded in our own material. The source is right there, so we can verify it before replying.

On a live project, “I thought someone else was handling it” is an expensive sentence. We now have one place for responsibilities, progress and pending decisions. The site team and office team are finally looking at the same picture.

In garments, one delayed handoff affects everything after it. We wanted the routine updates and follow-ups to happen on their own, without changing how the floor team works. Now I don’t need to call five people just to know where an order is.

Stock was never one clean answer. Someone had one sheet, the godown had another number, and we would confirm it again before committing to a customer. The inventory system has given us one place to check what came in, what moved and what is actually available.

Debt-recovery calls are repetitive, but they still need to sound respectful. The voice agent handles the first follow-up, notes the customer’s response and records a promised payment date. My team steps in when a real conversation is needed instead of spending the day dialling numbers.

We were reviewing only a handful of sales calls because listening manually takes too long. The AI now transcribes every call, checks it against our script and gives the agent a clear score. Coaching conversations are far more useful now.

My follow-ups were split between email, WhatsApp and a separate cheque list, so it was easy to miss something on a busy day. Now important emails are sorted, WhatsApp messages go out on time and cheque reminders run before the deposit date. I only get involved when the system flags an exception.

We have years of industry knowledge, but it was sitting across product sheets, test reports and old documents. With the RAG model, the team can ask a technical question in plain language and see an answer grounded in our own material. The source is right there, so we can verify it before replying.

On a live project, “I thought someone else was handling it” is an expensive sentence. We now have one place for responsibilities, progress and pending decisions. The site team and office team are finally looking at the same picture.

Growth Intelligence by Bizgenix AI
Tally already knows where your money is stuck. Growth Intelligence shows cash, receivables, payables and stock, with the next action for each.
Tally remains the source. Connection setup and data refresh timing are confirmed during the demo.


Validate the solution before committing to a full implementation.

Designed for WhatsApp, Tally, Hinglish and MSME operating realities.

The same team teaches, develops and deploys commercial AI systems.

Find the Leak → Prove the Fix → Build the System.

Solutions can be designed around your process, roles and integrations.

Discovery, development, deployment, training and optimization.
Discover the business and workflow
Identify the operational or revenue leak
Prioritize the highest-ROI use case
Build and demonstrate a working prototype
Develop the complete solution and integrations
Deploy, train the team and document the process
Measure adoption, results and next opportunities
Swipe or scroll to follow the process →
THE BUSINESS LEADER'S AI ARCHITECTTHE FOUNDER
CA CS MBA LLB PhD
13+ years of business advisory experience. 1,000+ businesses advised. ₹750+ Cr cumulative growth guided.
Tell us where your business is losing time, leads, cash or visibility. We will help you identify the right first AI use case and the fastest practical path to implementation.