AI agents that work like trained team members
We build custom AI agents that talk to your customers, use your business data and complete real tasks in your tools.
- Family
- AI & Automation
- Delivery
- 10 stages
- Typical start
- 1 to 3 weeks
Overview
A chatbot answers questions. An AI agent does the work: it checks an order, books an appointment, updates the CRM and tells the customer what happened. We build agents around your products, policies and systems, with clear limits on what they can do and a handover to your staff when needed.
A chatbot follows fixed scripts and answers questions. An agent understands the request, uses your tools and completes the task. Every agent we ship has approval steps, guardrails, logs and a path to a human.
Who it is for
- A support team that answers the same questions all day
- A sales team that loses leads because replies come too late
- A clinic, salon or office that misses calls after working hours
- Staff who waste time searching documents, policies and old records
Agents we build
17 offeringsCustomer support agent
Answers questions on website chat, WhatsApp and email using your own knowledge base.
Sales and lead qualification agent
Replies to new leads in seconds, asks the right questions and books meetings.
AI voice and calling agent
Makes and receives phone calls for reminders, confirmations, surveys and follow-ups. Aivora is our own AI calling agent.
AI receptionist
Greets callers and visitors, answers common questions, routes calls and takes bookings.
WhatsApp agent
Takes orders, shares catalogues, tracks deliveries and collects payments in chat.
Knowledge agent (RAG)
Searches your documents, manuals and policies and gives answers with sources.
Internal employee assistant
Helps staff with HR questions, reports, SOPs and data lookups.
Task and workflow agent
Carries out multi-step jobs across your CRM, ERP, email and spreadsheets.
Research and data analysis agent
Gathers information, reads reports and summarises findings.
E-commerce shopping assistant
Recommends products, answers stock questions and recovers abandoned carts.
Booking and scheduling agent
Manages appointments, reschedules and sends reminders.
Multi-agent systems
Several specialised agents that share work, check each other and report to a supervisor.
Custom LLM applications
AI tools built for one industry or one task, tuned on your data.
AI strategy and use-case discovery
Find where AI saves time and money, rank use cases by payback and agree the first 90 days.
Document intelligence
Read invoices, forms, contracts and reports, then extract, check and route the details.
Machine learning and computer vision
Forecasting, scoring, classification and defect-detection models taken into production.
LLM engineering and evaluation
Model selection, testing, monitoring and cost control so quality holds after launch.
What changes for you
Routine questions answered in seconds, at any hour.
Staff time moves from copying data to handling exceptions.
Every automated action is logged, reviewable and reversible.
From first call to production
An agent is tested harder than normal software, because it talks to real customers. It reaches production only after an evaluation and a pilot with limited users.
| # | Stage | What happens | What you receive |
|---|---|---|---|
| 01 | Use-case definition | We agree the job the agent does, the channels it works on, how success is measured and what it must never do. | Agent brief |
| 02 | Knowledge collection | We gather FAQs, catalogue, price lists, policies and past conversations. | Knowledge base |
| 03 | Conversation design | We define persona, tone, languages, conversation flows and escalation rules. | Conversation design document |
| 04 | Technical design | We choose the AI model, retrieval set-up, tools and APIs, memory and guardrails. | Architecture plan |
| 05 | Build | We write prompts, index the knowledge base, connect tools and link the channels. | Agent version 1 in test |
| 06 | Evaluation | We run a test set of real questions, measure accuracy and try wrong, off-topic and abusive inputs. | Evaluation report |
| 07 | Pilot | A limited group of users or your internal team uses the agent while staff review conversations. | Pilot findings and fixes |
| 08 | Production launchProduction go-live | The agent is rolled out fully, with monitoring and a live handover to humans. | Live agent |
| 09 | Training and handover | We show your team how to update knowledge, read logs and pause the agent. | Admin guide |
| 10 | Continuous improvement | We review failed conversations, update knowledge and add new skills. | Monthly improvement report |
What we need from you
- Business documents: FAQs, catalogue, price lists and policies
- Sample past conversations or call recordings
- API access to your CRM, calendar, order or booking system
- Escalation contacts and working hours
- Tone of voice and brand guidelines
- Phone number or WhatsApp Business API account, for voice and WhatsApp agents
What you get from us
- Agent brief and conversation design
- Trained and tested AI agent
- Integrations with your tools and channels
- Dashboard with logs, performance and cost
- Evaluation report
- Admin guide and training
- Monitoring and tuning after launch
Production go-live checklist
- The agent tells users it is an AI assistant
- Handover to a human works on every channel
- Restricted actions such as refunds, payments and cancellations need approval
- The agent answers only from approved knowledge and says when it does not know
- It has been tested with wrong, off-topic and abusive inputs
- Conversation logs and analytics are switched on
- Customers are told when calls are recorded
- Personal data is collected only when needed
- Spending limits and cost alerts are set on AI usage
- A fallback route exists if the AI service is down
- A named person owns knowledge updates
Typical timeline
- Knowledge chatbot (FAQs and documents)
- 1 to 3 weeks
- Agent that takes actions in your tools
- 4 to 8 weeks
- Voice agent or multi-agent system
- 6 to 12 weeks or more
Typical ranges. Your written plan gives the dates for your project.
After launch
- Review a sample of conversations every week
- Track resolution rate and handover rate
- Update knowledge when prices, products or policies change
- Add new skills and channels
- Watch the cost per conversation
- LangChain
- LangGraph
- Leading LLM APIs
- Vector databases
- Speech-to-text
- Text-to-speech
- Telephony providers
- WhatsApp Business API
Describe the job. We will show you the agent.
Tell us what it should do. We will reply with a clear plan and quote, at no cost.
Email info@autoneural.in · WhatsApp +91 62979 27642 · autoneural.in