What an agent actually does here

An agent is given one piece of work and finishes it. It reviews a sales call and scores it. It sends the follow-up and books the next step. It joins a session, understands what was discussed, and files the note against the right record. It reads a report and assesses it against the plan.

It does this inside the tools your team already uses, so nobody learns a new one. It acts on your rules, written down in the Design stage. And where you decide a person must make the call, it hands over with the context attached instead of guessing.

Call review dashboard: calls uploaded, analysed and audited, then a table of agents with audit count, script compliance, adherence, risk flags and a coaching status for each
Interface mockup. Demo data.

Where agents fit

Function, the agent that runs there, and what it removes
FunctionAgentWhat it removes
Sales callsCall review agent: transcribes every call, scores script adherence, reads sentiment, flags deal and compliance riskManual call review, and coaching that only happens on the calls someone overheard
Follow-upsFollow-up agent: sends the next message, books the next step, updates the recordLeads going cold because a follow-up depended on someone remembering
Session documentationSession agent: joins the call, understands what was discussed, files it against the right participantReconstructing what was said after the meeting
Records and reportsReading agent: reads blood reports, food logs and documents and assesses them against the planRe-reading documents by hand before every consultation
StatusUpdate agent: answers where a piece of work stands, from the systems rather than from a personChasing people for updates

What we will not do

Agents are not deployed until the data underneath them is trustworthy. An agent acting on a wrong record does the wrong thing faster.

  • We do not deploy an agent on data nobody has checked
  • We do not let an agent take an action you have not scoped
  • We do not remove a person from a decision you want a person to make

Proof

A real-estate developer: every sales call transcribed, scored and risk-flagged, at approximately 95% human-level accuracy on real-estate call analysis.

Read the real-estate sales case study

This is one of five capabilities, built through the same eight stages on how we build. The other four are on what we do.

Questions about AI agents

Is an AI agent the same as a chatbot?

No. A chatbot answers questions. A Builtrix agent executes a piece of work: it reviews a call, sends the follow-up, files the note, updates the record. It runs inside the tools your team already uses and acts on your business rules.

Which tools do agents work inside?

The ones your team already uses: WhatsApp, email, spreadsheets, your CRM, your phone system and your documents. Agents are deployed inside them, not alongside them, so nobody learns a new tool.

What happens when an agent is unsure?

It escalates to a person. During Design you decide which decisions a human must make, and the agent hands those over with the context attached rather than guessing.

How accurate are they?

Accuracy is measured on your real data, not claimed in advance. On real-estate call analysis for a real-estate developer the system runs at approximately 95% human-level accuracy, measured after tuning on real usage.

How many agents has Builtrix deployed?

Over 100 agents are deployed across client operations today, across sales, documentation, records and reporting.

Do we need clean data first?

Yes. Builtrix does not deploy an agent until the data underneath it is trustworthy. Where it is not, the engagement starts by putting the records in order, because an agent acting on a wrong record does the wrong thing faster.

Book your free AI transformation audit.

Sixty minutes. We map one function of your business, show you where the time and the money are leaking, and hand you the business case — whether or not you build it with us.

What you walk away with

  • A map of how one function really runs today
  • The hours and rupees it is currently costing you
  • A build sequence, priced and sequenced
  • A clear answer on whether AI is even the right fix

Book a free AI transformation audit