IndustriesContact centres and BPO firms
The client's audit finds the calls you missed.
Every call and chat is transcribed and scored against each client's checklist, and the calls at risk go to a team leader.
Tested on twenty of your own past calls before it goes live, and kept working as AI changes.
Eashan Gupta, founder. You meet him on the first call.
A sample call check: a customer's call transcribed and scored against the checklist, with the risk sent to a team leader.
Your week
Your week, as it runs today.
MON 09:10
The client's audit flags twelve calls the quality team never heard.
With AIEvery call is scored against the client's checklist, and the audit finds what you already fixed.
WED 11:40
Thirty new agents start on Wednesday, and the trainer has one deck and two weeks.
With AINew agents practise on mock calls with an AI customer and learn from the best calls.
WED 23:10
Eight agents leave mid-month, and the night shift runs short.
With AIShifts are planned from the forecast, and gaps are filled before the night begins.
THU 16:30
The client wants the monthly report in their format by the 3rd, built from three tools.
With AIThe client report is drafted from the call data in their format.
FRI 18:50
A team leader spends Friday listening to calls instead of coaching.
With AITeam leaders get each agent's three things to fix, with the call clips to show.
What it costs
Calls nobody hears.
15,680calls a day
never heard by anyone, when two in a hundred are checked
Our own sum, 2026
200 seats × 80 calls an agent a day × 98% never checked = 15,680 calls
What we'd build
Ten systems we'd build for contact centres.
The first three come first. The rest wait until those pass on your own past calls.
- Call checkFor you2,140 calls scored against the checklistCallsScored12 calls at risk, to team leadersTeam leadersFor youEvery call, scoredSample data · Powered by Agentec
Every call checked
- CoachingBuiltPriya: 3 things to fix, with clipsCoachSentA lesson built from your best callTrainerBuiltLessons from real callsSample data · Powered by Agentec
Coaching from real calls
- Practice callsReadyA new agent practised 6 mock callsTraineeDoneScored 82, ready for live callsTeam leaderReadyScored before a live callSample data · Powered by Agentec
Practice calls with an AI customer
And 7 more
Built before
The nearest work we've built.
None of it is in your trade yet.
Conference apps in two languages
Delegates carry the whole day on their phone, in Japanese or English at a tap.
Built for an industry body in Asia Pacific, used at its meetings in Bengaluru and Tokyo.
Before you call
What centre heads ask first.
Does it score every call or a sample?
Every call and chat, against each client's checklist and your own, and the calls at risk go to a team leader.
Can new agents practise before live calls?
Yes, with an AI customer who pushes back like a real one, and a score before they take a live call.
Who decides what gets built first?
You do, after 45 minutes with Eashan. We bring the week we counted and the first three we would build, and you pick the one that matters most to you. Nothing is built until you say yes in writing.
Who says yes before anything goes out?
The person who owns that job at your company today. You name them when we write the rules with you. Inside those rules the AI agent acts at once. Anything outside them waits for one tap from the person named, on their phone, ready to approve or to change.
What does it cost?
There is no price on this page, because it depends on the work. After 45 minutes with Eashan you get a written proposal with the scope, the test it has to pass, who works on it and one fixed price, before any work.
It works today. We keep it working tomorrow.
How it works- Work it out, most consultants stop here
- Build it, most software firms stop here
- Run it
- Answer for it
- We stay
45 minutes with Eashan, on your centre.
The people who live with the problem come too. You leave knowing what we'd build first, and why. Nothing to sign.
What stays yours
- Your accountsin your company's name
- Your codeevery line of it
- Personal dataabout your customers and staff, on your own machine unless you approve otherwise in writing
- Plain files and a how-to guideif you stop
Eashan Gupta, founder. You meet him on the first call.