AI automation for small business · India
AI automation your business can afford.Built by the team that runs it in production.
Voice agents, chatbots and autonomous workers — built, deployed and managed inside your live systems. For businesses told that custom software costs ₹10–20 lakh. We publish our prices in rupees and put a third of our build fee behind the result.
What we automate
AI that takes work off your team's plate.
Answer & make calls
The Calling Agent qualifies leads, books appointments and scores every call for intent.
Handle the busywork
The Employee Productivity Agent re-keys data, chases status and compiles the reports nobody was hired to do.
Never lose a meeting's decisions
The Meeting Agent captures action items, drafts the follow-up and updates your CRM.
Ask your data in plain English
The Data Analysis Agent answers business questions and shows the query behind every answer.
Not demos. Not workshops. Systems running inside your actual business.
The cost of carrying on
Your team is not slow. The busywork between tasks is.
Nobody you hired wants to copy the same data into a second system, chase a status across four apps, or answer the same customer question ten times a day. That work still gets done. But it gets done by people you hired for something else.
0%
of global GDP lost to low engagement — about $10 trillion a year
Source: Gallup, State of the Global Workplace 2026 ↗0%
of the workday goes to work about work — chasing status, hunting for information, redoing what was already done
Source: Asana, Anatomy of Work Index 2021 ↗0%
median gap in quality defects between a company's best and worst teams — same company, same work
Source: Gallup, Q12 Meta-Analysis, 11th Edition (2024) ↗None of it shows up as a line item. It shows up as slow quotes, forgotten follow-ups, and good people burning out.
The arrangement
We agree on the number before we write code.
The metric comes first
Before we build anything, we agree on one sentence that describes what has to move. We only accept metrics that already exist in your systems. If measuring the result needs us to build the measurement, it is the wrong metric, and we will tell you.
Seventy / thirty
70% of the fee is fixed. 30% depends on that metric moving by the agreed amount within 90 days of go-live. We cap the contingent portion on purpose. A firm that bets the whole project makes bad decisions near the deadline.
Your delay is not our risk
If you miss the agreed dates for data access, environment access, or subject-matter time, the contingent 30% converts to fixed. Most disputes about outcome pricing come from client-side delays. Pretending otherwise would be dishonest.
We publish the earn rate
How often we actually collect the contingent third is on this page, updated every quarter — including the quarters it goes badly. A 200-person agency cannot afford to do this. That is the point.
How we work
We define the number before we write code.
Two out of three firms in this category won't show a price. Ours are here, in rupees, sized for a business that was quoted ₹10–20 lakh for custom software.
Setup Audit
₹20,000 – ₹40,000
1–2 weeks · fixed · credited against the build
We look at your actual workflows and tell you which one an agent can carry — and which ones it can't. You leave with a shortlist, one measurable metric per workflow, the data-and-integration check, and a written go / no-go. If it shouldn't be built, we say so.
- Scored workflow shortlist
- One-sentence metric per workflow
- Data & integration check
- Written go / no-go
Agent Build
₹1,50,000 – ₹4,00,000 / agent
4–8 weeks · 70% fixed / 30% behind the result
One agent, built and deployed into your live systems, measured against the metric we agreed in the audit. Thirty per cent of the fee is only earned if that number moves within ninety days.
- Deployed, integrated agent
- Cost cap and kill-switch
- Live metric instrumentation
- 90-day contingent clause
Managed Running
₹15,000 – ₹40,000 / month
rolling · 30 days' notice · usage billed at cost
Agents drift, costs creep, edge cases appear. We monitor, maintain and keep it cheap to run — and the AI and telephony usage is passed through at cost, not marked up.
- Monitoring & drift management
- Cost governance & escalation
- Model & prompt maintenance
- Quarterly review
Our numbers
The figures a star rating can't carry.
Published quarterly, including the quarters that go badly, with the sample size attached. If a figure is missing here it is because we do not have it yet — not because it was unflattering.
- Still running at 90 days
- Share of deployments live three months after go-live
- Contingent third earned
- How often we collect the outcome fee
- Median time to production
- Signature to live, in weeks
- Engagements declined
- Audits that ended in “don't build this”
Track record
Systems that have already run against real money.
Gartner says agent projects fail because of escalating cost, unclear value, and weak risk controls — not model quality. Those are the three things we solved years ago, in production, before any of this had a name.
10.1M+
rows in a live analytics pipeline
An eight-stage battery-degradation engine over 8.46M telemetry and 1.68M GPS rows across 285 vehicles. It has a root-cause classifier that separates component defect from driver behaviour. Warranty disputes are settled on its output.
Per-call
cost tracking and a hard kill-switch
A multi-provider voice system with per-call cost tracking, deduplication, transcript intent scoring, and an operator kill-switch. This is what solved cost control and risk management look like — not a description, the real thing.
Regulated
identity and verification rails, in production
Document verification, e-signature, and credit-bureau integration with full audit logging and co-borrower flows. Running inside a lending environment where a wrong answer has a legal consequence.
Who we turn down
We are wrong for most people who contact us.
A firm that lists every industry and every service has no opinion. Ours costs us revenue to publish.
Anyone shopping on hourly rate
We do not sell hours. If the evaluation is a rate card, we are the wrong call.
Work where the outcome cannot be measured
If nothing in your systems already counts the thing that should improve, the contingent clause is meaningless. We would rather say no than sell a guarantee we cannot settle.
Strategy decks and AI workshops
We do not sell readiness assessments as a destination. The audit exists to reach a build decision, and it is credited against the build.
Staff augmentation
Renting engineers by the month is a different business with different incentives. Ours only works if we own the outcome end to end.
Before you talk to anyone
Will your project reach production?
Six questions, scored out of thirty. They test what actually stops automation from reaching production: is the outcome measurable, does the data exist, is there a named owner with authority, does the workflow have an exception path, is cost bounded, and can someone switch it off. Answer below. The result appears immediately. No email required. It will sometimes tell you not to hire us.
- 01
Can you name, in one sentence, the number this should move?
- 02
Could someone hand over the data and system access next week?
- 03
Is there one person accountable for this working, with authority to change how the work is done?
- 04
When the automation cannot handle a case, what happens to it?
- 05
Do you know what this may cost to run per month, and is there a ceiling?
- 06
Can a non-engineer stop it, immediately, without a deploy?
— / 30
Answer all six and the result appears here — no email required.