Chatbot Building & AI Agents that answer, book, sell and update your systems
We build AI chatbots and autonomous agents on OpenAI GPT, Anthropic Claude, Google Gemini and open-source Llama models, trained on your documents and connected to your CRM, ERP and WhatsApp Business API. Agents qualify leads, book appointments, answer policy questions and complete tasks inside your software, handing over to a person when they are not sure.
- Your data is never used to train public AI models
- Human hand-off, audit logs and role-based access built in
Channels
WhatsApp, website widget, Instagram DM, voice calls · Input
Understanding
Intent and language detection, including Hindi and Hinglish · NLU
Knowledge
Answers from your PDFs, SOPs, catalogue and policies with citations · RAG
Actions
Book a slot, create a CRM lead, check an order, raise a ticket · Tools
- Measured on resolution rate, hand-off rate and cost per conversation
Chatbots, task-completing agents and the knowledge systems behind them
Start with one channel and one use case, or build a set of agents across your business. Each service lists what we deliver and the technology we use.
WhatsApp AI Chatbots
AI assistants on the official WhatsApp Business Platform that answer questions, share catalogues, take payments and book appointments.
- Meta-approved templates, opt-in and green-tick guidance
- WhatsApp Flows for forms, bookings and catalogue browsing
- UPI and payment-link collection inside the chat
Website & Live Chat Chatbots
An embeddable chat widget that captures leads, answers product questions and passes live conversations to your team.
- Proactive prompts on pricing and checkout pages
- Lead capture straight into your CRM
- Live-agent takeover with full conversation history
Instagram & Messenger Automation
Automated replies to Instagram DMs, story mentions and comments that turn social engagement into enquiries.
- Comment-to-DM flows for campaigns and reels
- Product and price questions answered from the catalogue
- Hand-off to your social team inside Meta Business Suite
Voice AI Agents & Smart IVR
Phone agents that handle inbound calls and outbound reminders in natural speech, with Indian accents and languages.
- Appointment reminders and confirmation calls
- COD order confirmation to cut return-to-origin
- Call transcripts and summaries pushed to CRM
Multilingual & Regional Language Bots
Assistants that understand and reply in Hindi, Hinglish and other Indian languages, typed in Devanagari or Roman script.
- Hindi, Bengali, Marathi, Tamil and Telugu support
- Transliteration for Roman-script Hindi
- Language auto-detection per conversation
Lead Qualification & Sales Agents
Agents that ask qualifying questions, score leads and book sales calls, so your team only speaks to buyers who are ready.
- Budget, timeline and requirement capture
- Lead scoring and routing by region or product
- Calendar booking and WhatsApp follow-ups
Appointment & Booking Agents
Round-the-clock booking for hospitals, clinics, salons and service businesses, checked against live availability.
- Real-time slot checks in EPA Hospital and Salon suites
- Reschedule and cancellation without staff involvement
- Reminder messages to reduce no-shows
Customer Support Agents
Tier-1 support that resolves order, billing and account questions and creates tickets when a person is needed.
- Order status, returns and refund status lookups
- Ticket creation in Freshdesk, Zendesk or Zoho Desk
- Tone and escalation rules per customer segment
Internal Knowledge Copilots
Private assistants for employees that answer HR, IT and process questions from your own documents.
- HR policy, leave and payroll questions
- SOP and product training for new staff
- Access control by department and role
Back-office Automation Agents
Agents that read emails and documents, enter data into your systems and prepare reports on a schedule.
- Invoice and purchase-order capture into Tally or ERP
- Email triage and draft replies for approval
- Daily and weekly report generation
Multi-Agent Systems & Orchestration
Several specialised agents that plan, check and complete multi-step work, with a person approving key steps.
- Planner, researcher and executor agent roles
- Tool calling and Model Context Protocol (MCP) servers
- Approval checkpoints before actions are taken
RAG Knowledge Base Development
A searchable knowledge layer built from your documents, so answers come from your content and cite their source.
- Ingestion from PDFs, websites, Google Drive and SharePoint
- Chunking, embeddings and hybrid keyword search
- Source citations in every answer
CRM, ERP & API Integrations
Secure connections that let agents read and update records in the software your business already runs on.
- EPA Hospital, Salon, Payroll and Billing suites
- Tally Prime, Zoho, Salesforce and custom REST APIs
- Scoped API keys and action-level permissions
Document AI & Data Extraction
Turns invoices, prescriptions, KYC documents and forms into structured data your systems can use.
- Field extraction from scanned and photographed documents
- Validation rules and confidence scores
- Human review queue for low-confidence fields
Fine-tuning & Private Model Hosting
Custom-trained open-source models for cases where data must stay on your servers or prompting is not enough.
- LoRA fine-tuning on Llama and Mistral models
- On-premise or India-region cloud deployment
- Cost and latency benchmarks against hosted APIs
LLM Selection & Cost Optimisation
The right model for each task, so you do not pay premium rates for simple questions.
- Benchmarks across GPT, Claude, Gemini and open-source
- Model routing, response caching and token budgets
- Monthly usage and cost reporting
AI Safety, Guardrails & Compliance
Controls that keep agents on topic, protect personal data and stop misuse.
- PII detection and redaction in logs
- Prompt-injection and jailbreak defences
- Consent and data handling aligned with the DPDP Act, 2023
Evaluation, Monitoring & Analytics
Ongoing measurement of answer quality, so problems are found in the dashboard before customers notice them.
- Test sets built from real customer questions
- Hallucination and accuracy scoring on every release
- Conversation analytics and human review queue
From use case to live agent in five stages
Every agent is tested against real questions from your business before it speaks to a customer.
Use-case discovery
Map repeated conversations and tasks, pick the highest-volume use cases and agree success metrics.
Knowledge & integration prep
Collect and clean documents, confirm API access and design conversation flows and hand-off rules.
Build & prompt engineering
Agent logic, tools, guardrails and channel set-up, reviewed with your team every week.
Evaluation & UAT
Accuracy and safety scoring against a test set, followed by staff testing on real scenarios.
Launch & improve
Phased rollout, weekly review of failed and escalated conversations and knowledge updates.
How we measure a chatbot or AI agent
An AI assistant is judged on the work it completes. These numbers appear in your dashboard from the first week of launch.
Resolution rate
Share of conversations the agent completes end to end, without staff stepping in.
Hand-off rate
Conversations passed to staff, tracked by reason so gaps in knowledge can be fixed.
Answer accuracy
Correct, sourced answers as a share of a fixed set of real questions, checked on every release.
First response time
Time from a customer message to the first useful answer, across every channel.
Cost per conversation
AI model tokens, WhatsApp conversation charges and hosting divided by conversations handled.
Conversions
Qualified leads, appointments and orders created by the agent and confirmed in your CRM.
AI agents by industry
Each sector has its own questions, systems and compliance needs. These are the ones we deploy for most often.
Hospitals, clinics & diagnostics
OPD booking by doctor and department, report-ready alerts, visiting hours and insurance questions, connected to our Hospital Management Suite.
Salons, spas & wellness
Service and stylist booking, package and membership questions and rebooking reminders linked to the Salon & SPA Suite.
Sarees & apparel retail
Catalogue sharing on WhatsApp, fabric, price and delivery questions, COD confirmation and order tracking.
Real estate & construction
Project details, price sheets and brochures on request, site-visit booking and lead scoring for sales teams.
E-commerce & D2C brands
Order status, returns, exchange requests and abandoned-cart recovery on WhatsApp and website chat.
Enterprise HR & operations
Employee copilots for leave, payroll and policy questions using the Attendance & Payroll Suite, plus back-office automation.
AI agents built by the team that builds the systems they connect to
An agent is only useful if it can act. Because we build hospital, salon, payroll and billing software, our agents read and write to those systems directly instead of only answering questions.
Your data stays private
Enterprise API terms with no training on your data, and the option to host in an India-region cloud or on your own servers.
Human in the loop
Confidence thresholds send uncertain or sensitive conversations to your staff on WhatsApp or the dashboard.
Hindi and Hinglish ready
Agents understand how Indian customers actually type, including mixed-language and Roman-script Hindi.
Transparent running costs
AI model and WhatsApp charges are billed at actuals, with a monthly usage report per channel.
Handed over at go-live
- Documented conversation flows and prompt library
- Knowledge base with source citations
- Admin panel to update FAQs and documents
- Hand-off inbox for your team
- Conversation logs and analytics dashboard
- Guardrails for personal data, off-topic and unsafe requests
- Launch test set with accuracy scores
- 30 days of tuning after go-live
Weekly
Review of failed and escalated conversations
Monthly
Accuracy, resolution and cost report
Quarterly
New use cases and model review
Choose how you want to work with us
Projects are quoted after the readiness call, based on channels, integrations and conversation volume. AI model and channel charges are billed at actuals.
AI Readiness Workshop
A working session to find the conversations and tasks worth automating first.
- Use-case and ROI shortlist
- Data and integration audit
- Recommended architecture
Pilot Chatbot
One channel and one use case, launched and measured against agreed targets.
- Single channel, e.g. WhatsApp
- Knowledge base and hand-off
- Pilot results report
Production AI Agent
Multi-channel agents with system integrations, guardrails and monitoring.
- CRM, ERP and API integrations
- Evaluation and safety testing
- Launch plus 30-day tuning
Managed AI Operations
Ongoing monitoring, knowledge updates and new flows as your business changes.
- Weekly conversation reviews
- Model and cost optimisation
- New use cases each quarter
AI chatbot and agent questions we are asked most
Something not covered here? Call +91 91150 89470 or email info@epaits.com.
What is the difference between a chatbot and an AI agent?
A chatbot answers questions in a conversation. An AI agent can also take actions, such as booking an appointment, updating a CRM record or checking an order in your ERP. Most of our deployments combine both, with the agent acting only within permissions you set.
Which AI models do you use?
We work with OpenAI GPT, Anthropic Claude, Google Gemini and open-source models such as Llama and Mistral. We choose per task based on accuracy, language support, speed and cost, and can switch models later without rebuilding the agent.
Will the chatbot give wrong or made-up answers?
We reduce this by answering only from your approved documents with source citations, testing against real questions before launch and sending low-confidence conversations to a person. Accuracy is scored on every release and shown in your dashboard.
Is our customer data safe?
We use enterprise API terms under which your data is not used to train public models, redact personal data from logs and apply role-based access. Consent and data handling follow the Digital Personal Data Protection Act, 2023, and private hosting is available.
Can the bot talk to customers in Hindi?
Yes. Our agents understand and reply in Hindi, Hinglish and other major Indian languages, whether customers type in Devanagari or Roman script, and can switch language within a conversation.
What does it cost to run an AI chatbot each month?
Running costs depend on conversation volume, the AI model used and channel charges such as Meta’s WhatsApp conversation fees. We estimate these during the readiness call and report actual usage every month.
How long does it take to build?
A pilot on one channel with one use case usually goes live in 4 to 6 weeks. A production agent with several integrations and channels typically takes 8 to 12 weeks, including testing.
Can it connect to our existing software?
Yes. We integrate with EPA’s Hospital, Salon, Payroll and Billing suites, Tally, Zoho, HubSpot, Salesforce, Freshdesk and most systems that offer an API or database access.
Services that work alongside your AI agents
Find the conversations and tasks worth automating first
Tell us where your team spends time answering the same questions or entering the same data. Within 5 working days we send a use-case shortlist, a recommended architecture and a pilot estimate.
- Use-case and ROI shortlist
- Data and integration readiness check
- NDA available on request
Book your AI readiness call
We reply within one working day.