Support agents for teams answering the same fifty questions every day.
Answers in seconds. From your docs. With a human one step away.
We build support agents that answer customer questions from your approved knowledge - your policies, your prices, your docs - handle routine actions like order status and booking changes, and hand anything sensitive to your team with the full conversation attached. It answers only what it knows. It never bluffs. And your customers always have a path to a person.
Timeline
3-6 weeks including the supervised launch
Engagement
Knowledge audit + agent build + channel wiring + supervised launch
Investment
Typical builds: ₹50K–2.5L / $600–3K depending on knowledge base, channels, and actions
Why Teams Come To Us
- Teams answering the same fifty questions every day across WhatsApp, chat, and email
- Businesses with written policies and docs an agent can be grounded in
- Operators who want a bot that hands off to a human, not one that will not let go
Outcomes We Usually Move
- Routine questions answered in seconds
- Unanswerable ones routed to a human
- Consistent answers on every channel
Not For
- Teams hoping to fire the support team and disappear from customers
- Products with no written policies or docs to ground the agent in
- Use cases where a wrong answer is dangerous and no human review is planned
Standards
How We Build Support Agents That Do Not Embarrass You
Grounded or Silent
A support bot that invents answers is a liability generator.
Actions Are Allow-Listed
The AI does what you permitted. Nothing else.
Handoff Is a First-Class Flow
The worst support experience is a bot that will not let go.
Quality Is Measured, Not Assumed
You should know your agent's accuracy, not hope for it.
One Brain Across Channels
The answer should not depend on where the customer asked.
Proof
How the Agent Works
Grounded-or-Silent Flow
System diagram: every answer comes from your approved sources or gets routed to a human. The agent never bluffs.
Escalation Path
The triggers that hand a conversation to your team - with a summary and full transcript, so nobody repeats themselves.
One Brain, Three Channels
WhatsApp, web chat, and email answering from the same knowledge and rules. Consistency by architecture.
Knowledge-Base Sync
How your docs, policies, and price lists become the agent's only sources - and how updates flow in.
Results
0
Invented Answers
Grounded-or-silent: your docs answer, or a human does
100%
Escalation Path
Every conversation one step from a person. A design rule, not a stat.
3
Channels, One Brain
WhatsApp, web chat, and email answer identically
Team buried in repeat questions?
Send us your ten most-asked questions. We will tell you honestly how many an agent could answer well - and which ones it should not touch.
How a Support Agent Gets Built
Knowledge and Policy Audit
- Inventory your docs, FAQs, policies, and price lists
- Fill the gaps: what customers ask that nothing answers
- Define the tone, the boundaries, and the escalation triggers
Agent Build and Grounding
- Retrieval wired to your approved sources only
- Allowed actions defined, bounded, and logged
- Refusal and handoff behaviour tested on hard cases
Channel Wiring
- WhatsApp, web chat, and email on one shared brain
- Helpdesk or inbox integration for the human side
- Handoff summaries so agents pick up with context
Supervised Launch and Tuning
- Launch with human review on the agent's early conversations
- Track resolution, escalation, and customer-effort signals
- Update knowledge where the agent kept saying "I don't know"
Free Audit
What We Evaluate
We audit your support load across six areas to find what an agent can safely take off your team.
Question Volume & Repeats
Knowledge Coverage
Response & Resolution Time
Escalation Triggers
Safe-Action Candidates
Channel Mix
Worth ₹15,000. Yours free.
Agent Stack
FAQ
Frequently Asked Questions
What stops it from making things up?
Grounding, by design. The agent answers only from knowledge sources you approve - your docs, policies, FAQs, and price lists. When a question falls outside them, it says it does not know and routes to a human, instead of improvising. We test the refusal behaviour on hard cases before launch, and the launch itself is supervised with human review on early conversations.
Can it actually do things, or just answer questions?
It can act, within limits you set. Actions like order-status lookups, booking changes, and ticket creation are individually allow-listed, bounded, and logged. The agent has no general access to your systems - it can only do what you explicitly permitted, and you can see every action it took.
What happens when a customer wants a human?
They get one. Escalation triggers fire on customer request, sensitive topics, negative sentiment, or repeated failure to answer, and the conversation moves to your team with a summary and the full transcript attached. The customer never starts over. We consider a bot that will not let go a defect, not a feature.
Which channels does it cover?
WhatsApp, web chat, and email, running on one shared brain so the answer to a question is the same everywhere. On the human side it plugs into your helpdesk or shared inbox. We typically launch on one channel first, prove the quality, then extend.
What does it cost?
A build scoped to your knowledge base, channels, and allowed actions, plus your own AI and messaging usage costs. We quote after the support-load audit, when we know what the agent will actually handle. Book the free strategy call; you leave with an architecture, a timeline, and honest numbers either way.
Process
What Happens After You Reach Out
Step 1
Support Load Audit
We review what customers actually ask, how long they wait, and what knowledge exists to answer them.
Step 2
Feasibility Call
We align on what the agent can answer well, what it must refuse, and where humans stay in the loop.
Step 3
Scope and Architecture
You get a proposed agent: knowledge sources, allowed actions, escalation design, channels, and timeline.
Step 4
Build, Supervised Launch, Tune
We build, launch with human review on early conversations, and tune until the metrics earn full rollout.
Snapshot
Engagement Snapshot
Timeline
3-6 weeks including the supervised launch
Engagement
Knowledge audit + agent build + channel wiring + supervised launch
Investment
Typical builds: ₹50K–2.5L / $600–3K depending on knowledge base, channels, and actions
Handoff
Conversation logs, escalation playbooks, knowledge-update loop, and operator docs
Next Step
Think this might be the right fit?
Send a project brief. If there's a fit, we'll map the fastest path to outcomes.
Currently booking for May 2026