AI Automation: Agents that answer, qualify and follow up — 24/7
AI automation is the practice of handing repeatable, language-heavy business work — answering enquiries, qualifying leads, booking slots, chasing follow-ups, summarising conversations — to software agents that operate on your real data, around the clock. Done well, it does not replace your team; it removes the queue in front of them.
from ₹49,999 · 2–4 weeks · 3 packages
Who this is for
- Service businesses losing enquiries outside office hours
- Sales teams where the first response takes more than 10 minutes
- Clinics, resorts, dealerships and agencies with high call volume
- Operations teams copying data between WhatsApp, email and spreadsheets
At a glance
- Typical build: 2–4 weeks
- Channels: WhatsApp, web, voice, email
- Handoff: Human takeover on every thread
- Reported weekly: Containment, response time, bookings
- Response time: < 5 sec
- Lead recovery: +38%
- Manual replies saved: 70%
What an AI agent actually is
An AI agent is a language model wrapped in three things your business cares about: grounding, tools and guardrails. Grounding means the agent only answers from your knowledge base — your services, pricing, policies and past conversations — instead of guessing. Tools mean the agent can act: create a CRM record, check availability, send a payment link, escalate to a human. Guardrails mean it knows what it must never say, when to hand off, and how every conversation is logged for review.
The difference between a novelty chatbot and a production agent is almost entirely in those three layers. We build all three before we tune a single prompt.
Where automation pays back fastest
The highest-return automations are rarely the most impressive ones. First-response on inbound WhatsApp and calls typically pays for itself inside a quarter because speed-to-lead is the single strongest predictor of conversion. Appointment booking is next: an agent that reads a live calendar and confirms a slot removes an entire back-and-forth thread per customer.
After that, internal automations compound quietly — auto-summarising calls into the CRM, drafting quotations from a template, nudging unpaid invoices, and routing tickets by intent.
- Inbound WhatsApp and call answering with lead qualification
- Calendar-aware appointment booking and reminders
- Quotation drafting and follow-up sequences
- Call and chat summarisation written straight into your CRM
- Escalation rules with full human takeover
How we build it
We start with a transcript audit: one to two weeks of your real conversations, clustered by intent. That tells us which 20% of messages create 80% of the manual work, and it becomes the agent's test suite. We then build the knowledge base, connect the tools (CRM, calendar, payments, WhatsApp Business API), and run the agent in shadow mode — replying into a review queue, not to customers — until accuracy holds.
Only then does it go live, usually on one channel first. Every conversation stays inspectable, and a human can take over mid-thread at any point.
What it costs and what to expect
A single-channel WhatsApp or web agent typically starts around ₹49,999 with a 2–4 week build. Voice agents and multi-tool systems that write to a CRM and take payments sit higher because of telephony, integration and testing effort. Ongoing costs are model usage plus a support retainer.
Realistic expectations matter: expect an agent to resolve most routine enquiries end-to-end and to hand over the rest cleanly. An honest handoff is a successful outcome, not a failure.
Measuring whether it worked
Automation projects fail quietly when nobody agrees what success looks like. Before we build, we baseline four numbers from your current operation: median first-response time, percentage of enquiries answered outside business hours, enquiry-to-booking rate, and hours per week your team spends on repetitive replies. Every one of those is measurable from your existing WhatsApp exports and CRM.
After launch, the same four numbers are reported weekly alongside containment rate — the share of conversations the agent finished without a human — and the list of questions it could not answer. That unanswered list is the roadmap; each week it gets shorter and the agent gets better.
- Median first-response time, before and after
- Containment rate and clean-handoff rate
- Enquiry-to-booking conversion by channel
- Hours of manual replying removed per week
- Weekly unanswered-question report
Common mistakes to avoid
The most common failure is launching an agent with no knowledge base — a general model asked to represent a specific business will improvise, and one confident wrong answer costs more trust than fifty right ones. The second is automating a broken process: if your follow-up sequence does not work when a human runs it, speeding it up only produces faster failure.
The third is hiding the human. Customers accept an AI assistant when reaching a person is one message away. Make the handoff obvious, keep it fast, and satisfaction usually goes up rather than down.
How it fits with your existing systems
An agent is only as useful as what it can see and do. We connect to the tools you already run — WhatsApp Business API, Google Calendar, your CRM, payment links, Google Sheets, and internal databases — using their official APIs, with credentials stored server-side and scoped to the minimum permissions needed.
If you have no CRM yet, we can start with a lightweight lead table and dashboard, then migrate later. Nothing about the agent should force a systems overhaul before you see results.
What's included
- Custom AI voice agents (inbound + outbound)
- WhatsApp Business API automation
- n8n / Zapier / Make workflow orchestration
- GPT, Gemini & Claude integrations with RAG
What you receive
- Agent persona, prompt library & guardrails
- Knowledge base ingestion + vector search
- CRM / Sheets / calendar integrations
- Human handoff inbox & escalation rules
- Analytics dashboard for every conversation
Our ai automation process
- Audit: We map your current inbound flow and find the leaks.
- Design: Conversation flows, tone, escalation and fallback paths.
- Build: Agent, integrations and dashboards in a staging workspace.
- Train: Ground the agent on your docs, FAQs and past chats.
- Launch: Go live with monitoring, alerts and weekly tuning.
Technologies
OpenAI, Gemini, WhatsApp Cloud API, n8n, Supabase, Twilio
Packages and pricing
- Starter Agent (₹49,999): 1 channel · FAQ + lead capture · 2 integrations. Best for: Small teams testing AI
- Growth Automation (₹1,49,000): 3 channels · CRM sync · booking + follow-ups. Best for: Scaling sales teams
- Enterprise Agents (Custom): Multi-agent, voice, SLAs, on-prem options. Best for: High-volume operations
AI Automation FAQs
Will it sound robotic?
No. We tune persona, length and tone, and route anything sensitive to a human within seconds.
Can it use our existing WhatsApp number?
Yes — we migrate your number to the WhatsApp Business API and keep chat history intact.
How long does an AI automation project take?
A single-channel agent goes live in 2–4 weeks. Multi-channel systems with CRM, calendar and payment tools typically take 5–8 weeks including shadow-mode testing.
What data do you need from us?
Your service and pricing information, existing FAQs or SOPs, and ideally 1–2 weeks of real conversation transcripts. Transcripts are what make the agent accurate.
Is our customer data safe?
Yes. Data stays in your own database, model providers are configured with zero-retention where available, and every conversation is logged so you can audit exactly what was said.
What happens when the AI does not know something?
It says so and hands over to a human with the full conversation context, instead of guessing. Honest handoff is a designed outcome, not a failure.
Do you charge per message?
No. You pay a build fee, then model usage at cost plus a fixed support retainer. There is no per-conversation markup.
Can we edit the agent ourselves later?
Yes. Knowledge base, canned replies, escalation rules and business hours are all editable from an admin dashboard we hand over.