Custom AI development
Custom AI Development: Agents, Chatbots, Copilots and RAG
AI built around your data, your rules and your oversight: agents, chatbots, copilots, document AI, voice AI and RAG applications.
What each service covers
AI Agents
AI agents that take action across your business: handle support, process documents, update your ERP and complete multi-step tasks.
AI Chatbots
AI chatbots that understand your customers, answer from your own knowledge, work across web and WhatsApp, and hand off to a human when needed.
AI Workflow Automation
Connects your systems end to end with a trigger, AI-assisted steps and an approval point, replacing manual handoffs between tools.
Computer Vision Development
Inspects products, reads gauges, counts stock or checks safety compliance from camera feeds, flagging exceptions for a person to confirm.
Custom AI Agent Development
Custom AI agents that carry out a full task in your business systems: check data, take an action, and hand off to a person for approval, built on your own ERP.
Custom AI Chatbot
Custom AI chatbots trained on your own products, policies and processes, connected to your systems, and built to hand off to a person when a question needs one.
Custom AI Copilot
AI copilots built into the tools your team already uses, suggesting the next field, draft or check inline, with every suggestion accepted or edited by a person.
Document AI Development
Document AI that reads invoices, forms, contracts and applications, extracts the fields you need, and posts them into your ERP with the source shown for review.
ERP AI Extensions Development
AI added to the ERP modules you already run: suggestions, faster data entry and early warnings inside your existing screens.
Multi-Agent System
Custom multi-agent systems where specialist AI agents divide a complex task and hand off work between each other, with a supervisor agent and human checkpoints.
Predictive Analytics
Custom predictive models built on your own data to score risk, likelihood or outcome for a specific decision, with the drivers behind each score shown clearly.
RAG Application
RAG applications that answer questions from your own manuals, policies and records, with the source documents shown next to every answer for a person to verify.
Explore this group
- AI Agents That Take Action, Not Just Answer
AI agents that take action across your business: handle support, process documents, update your ERP and complete multi-step tasks.
- AI Chatbots That Understand, Not Just Reply
AI chatbots that understand your customers, answer from your own knowledge, work across web and WhatsApp, and hand off to a human when needed.
- AI Workflow Automation: One Connected Workflow Instead of Five Manual Handoffs
A process that touches five systems usually means five manual handoffs, each one a place for something to sit, get lost or be entered twice.
- Computer Vision Development: A Camera That Checks Every Unit, Not a Sample
Visual inspection by a person is thorough for the first hour and tired by the fourth. Book a free consultation with TCB Infotech.
- Custom AI Agents That Complete a Task, Not Just Answer a Question
Custom AI agents that carry out a full task in your business systems: check data, take an action, and hand off to a person for approval, built on your own ERP.
- Custom AI Chatbot: A Chatbot That Knows Your Business, Not a Generic Script
Custom AI chatbots trained on your own products, policies and processes, connected to your systems, and built to hand off to a person when a question needs one.
- A Copilot Inside the Tool You Already Use, Not a New One to Learn
AI copilots built into the tools your team already uses, suggesting the next field, draft or check inline, with every suggestion accepted or edited by a person.
- Document AI Development: Stop Retyping Documents Into Your Systems by Hand
Document AI that reads invoices, forms, contracts and applications, extracts the fields you need, and posts them into your ERP with the source shown for review.
- ERP AI Extensions Development: Make Your ERP Smarter Without Switching Platforms
Replacing an ERP to get AI features is rarely worth the disruption, and rarely necessary. Book a free consultation with TCB Infotech.
- Multi-Agent System: When One Task Needs a Team of Agents, Not Just One
Custom multi-agent systems where specialist AI agents divide a complex task and hand off work between each other, with a supervisor agent and human checkpoints.
- Predictive Analytics: A Score for the One Decision You Make Every Week
Custom predictive models built on your own data to score risk, likelihood or outcome for a specific decision, with the drivers behind each score shown clearly.
- RAG Application: Answers Grounded in Your Own Documents, Not a Guess
RAG applications that answer questions from your own manuals, policies and records, with the source documents shown next to every answer for a person to verify.
- Voice AI Development: A Call Answered on the First Ring, Every Time
A missed call is a lost customer more often than anyone likes to admit, and a phone line staffed only during office hours misses more than it should.
Common questions
How is an AI agent different from a chatbot?
A chatbot answers questions. An agent takes action: it reads a request, decides what to do, and does it across your systems, with oversight. A chatbot tells you the order status; an agent looks it up, updates it, and emails the customer.
What is computer vision used for in business?
It is the use of AI to analyse images or video, such as spotting a defect on a production line, counting stock on a shelf, reading a gauge, or checking whether safety equipment is being worn. It replaces a person visually checking every unit with a camera that checks continuously and flags what needs attention.
What is an AI copilot?
An AI copilot is a suggestion layer built into a tool someone already uses, such as an order entry screen or a document editor. It proposes the next field, a draft paragraph or a check to run, right where the work is happening, and the person accepts, edits or ignores the suggestion.
What is a multi-agent system?
It is a setup where a task is split between several AI agents, each built for one part of the work, rather than one agent trying to do everything. A supervisor agent coordinates the handoffs between them and pulls the results together for a person to review.
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