Agentic AI · AI agent development
AI agents, built by a team that already runs them
We build AI agents and agentic automation for Indian businesses. The difference is that we operate this technology ourselves — inside Sales Daddy and TrackNew, where an AI assistant greets, qualifies and answers real customers in English and Tamil, every day.
- Bilingual WhatsApp agent
- Instant first response
- Autonomous qualification
- Call summaries & transcripts
Capabilities
What an agent can take off your team
Marked live where we already run it in our own products, and build where it is something we build for you. We would rather be precise than impressive.
Sales
Agents that answer the enquiry before a human can, qualify it, and put the right rep on it.
- Conversational lead qualificationliveGreets an incoming enquiry, asks what it needs to know, captures product, city and budget.
- Instant multilingual first replyliveReplies in the customer's own language, within seconds of the lead arriving.
- Call summarisationliveTranscribes and summarises sales calls onto the lead record automatically.
- Follow-up draftingbuildDrafts the next follow-up message per lead, in the language of the conversation, for a rep to send or approve.
- Quote and proposal assemblybuildAssembles quotes from your price list and product rules, ready for review.
Customer support
Agents that handle the repetitive 70% of questions and escalate the rest with context attached.
- FAQ answering with handoffliveAnswers common questions in English or Tamil and hands off to a human the moment it should.
- Proactive status updatesliveNotifies customers on WhatsApp when their job or order state changes.
- Knowledge-grounded answersbuildAnswers drawn from your own documents, catalogues and policies — retrieval over your data, not the open internet.
- Ticket triage and taggingbuildReads incoming tickets, classifies intent and urgency, and routes accordingly.
Service & operations
Agents that decide who does the work, and notice when it is slipping.
- Skill-based assignmentliveAssigns work by availability and skill instead of by whoever answers the phone.
- SLA monitoring and escalationliveWatches for breaches and escalates on rules before the customer complains.
- Schedule and route planningbuildSequences a technician's day against location, priority and commitments.
- Field report generationbuildTurns a technician's notes, photos and voice into a structured completion report.
Back office
Agents that read documents and move data so people stop retyping it.
- Reporting with a recommendationliveReports that state what to do next, not only what happened.
- Document extractionbuildReads invoices, POs and forms into structured data your systems can use.
- Reconciliation checksbuildCompares records across systems and raises only the mismatches worth a human's time.
- Cross-system workflowsbuildMulti-step automations that connect your tools and call an AI step where judgement is needed.
How we build
One job first. Then the loop widens.
Agent projects fail when they start as platforms. Ours start as a single job with a clear right answer, put a person in the loop, and expand only once the agent has earned it.
Find the job
We look for one repetitive, text-heavy job with a clear right answer. Not a strategy deck — a job.
Design the agent
What it decides, what data it can read, which tools it can call, where it must stop and ask a person.
Build and connect
The agent, grounded in your own data, wired into the systems it needs — CRM, WhatsApp, sheets, accounting.
Deploy with a human in the loop
It goes live handling a slice of the work, with a person reviewing what it does before the loop widens.
Operate and improve
We watch traces of real behaviour and tighten it. An agent is a system you run, not a project you finish.
Grounded in your data
Agents answer from your documents, catalogues and records — not from whatever the model absorbed off the internet.
Tools, not guesses
Where an answer needs a real lookup or a real write, the agent calls a tool in your systems instead of inventing one.
A human in the loop
Every agent we run hands off to a person. We design the stopping point before we design the conversation.
Traceable behaviour
You can see what the agent did and why. An agent you cannot inspect is one you cannot trust with customers.
What we connect to
Agents are only useful when they can reach your systems
These are the integrations we run in our own products today — the plumbing an agent needs to actually do something rather than just talk.
Messaging
- WhatsApp Business API
- SMS / DLT
- Email-to-lead
- Google Meet
Lead sources
- Facebook Lead Ads
- Instagram Lead Ads
- IndiaMART
- Justdial
- TradeIndia
Money & compliance
- Razorpay
- Tally
- GSTN / GSTR-1
Data & automation
- Google Sheets
- Zapier
- Webhooks & REST API
- Self-hosted n8n
Anything else with an API, webhook or database can be connected — these are simply the ones already running in production.
Tell us the job you'd hand to an agent
Describe one repetitive task your team does every day. We'll tell you honestly whether an agent should do it — and what it would take.