AI that changes how the
organisation runs.
A staged route from scattered pilots to AI that runs inside your operations.
Ask AI about this service
Most transformation programmes stall between the strategy deck and the first production system. We run both ends: a roadmap grounded in your data and constraints, then the engineering to ship each stage, owned and operated on your infrastructure.
What a programme covers.
Use-case portfolio
Candidate use cases scored on value, data readiness, and risk, so the first releases are the ones most likely to land.
Data foundations
Pipelines and a governed data layer built before models, because most AI delays are data delays.
Stage-gated delivery
Each release has a measurable outcome, a go or no-go, and an owner on your side.
Capability transfer
Runbooks, training, and hand-over so your team can operate and extend what we build.
Where transformation pays off.
Programmes work best where operations are data-rich, repetitive, and costly when wrong.
Operations intelligence
Unify plant, fleet, and ERP data into decision support for supervisors and planners.
Back-office automation
Document-heavy approvals and reconciliations moved onto governed AI workflows.
Customer and citizen service
Faster, consistent responses grounded in policy and case history.
A prioritised AI roadmap in 3 weeks.
From the day you engage us, not from a kickoff weeks later. Every milestone is a result you can see.
- Week 1
Stakeholder interviews and data-readiness scan
- Week 3
Scored use-case portfolio and staged roadmap
- Day 60
First priority use case in production
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Fixed scope
Scope, price, and milestones are agreed before work starts.
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No surprises
Weekly demos and plain-language status. Changes are priced before they are built.
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Compliance from day one
Governance, model risk, and data-protection requirements are written into the roadmap before any build starts.
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You own the IP
Code, models, and documentation transfer to you on successful handover.
Know the price, the date,
and the exit before we start.
Fixed-scope project. A defined deliverable at a fixed price and date. Payment is released as each milestone is accepted. The same terms are written into every statement of work for ai transformation, so there is nothing to discover later.
- Quote Within 5 working days Price per milestone, dates, and named architect
- Priced One price per milestone Third-party costs listed separately, at cost. Invoiced in USD for international clients
- Paid On accepted working software Not on calendar dates or hours logged
- Changes Written and priced first Cost and date impact before work starts
You fund accepted work, never a promise.
Drag to move through the engagement. Money is released only as each gate is accepted, so what you have paid never runs ahead of what you can use.
- Milestone 1Week 1
Stakeholder interviews and data-readiness scan
Accepted whenWorking software demonstrated against the written acceptance criteria.
Releases 20% - Milestone 2Week 3
Scored use-case portfolio and staged roadmap
Accepted whenWorking software demonstrated against the written acceptance criteria.
Releases 30% - Milestone 3Day 60
First priority use case in production
Accepted whenWorking software demonstrated against the written acceptance criteria.
Releases 30% - HandoverAt final acceptance
Code, architecture documents, deployment scripts, and credentials transferred to you.
Accepted whenFinal acceptance signed. Defects then fixed under warranty at no charge.
Releases 20%
Illustrative split. The exact percentages and dates are fixed in your statement of work.
When something goes wrong, who pays?
Every project meets surprises. What matters is who carries them. Pick one and compare how three commercial models respond.
The hours keep running while the team investigates. You pay for the surprise.
A change request is raised, usually priced at a premium and argued over.
We verified it before quoting, and the risk register held an allowance. Any overrun beyond it is ours.
It is absorbed into the hours. The date slips quietly and you learn at the invoice.
A change fee arrives, often as a lump sum with little explanation.
You get a written amendment with cost and date impact. Nothing starts until you approve it.
You pay for the difference. The estimate was only ever a guess.
The vendor reopens scope to recover margin, or cuts corners to hold it.
The price stays fixed. The overrun is ours to carry, and you see the budget position at every demo.
It is billed on the calendar anyway. The status report says "on track".
The invoice follows the date in the contract, whether or not the work is done.
Payment for that milestone is held until it passes the written criteria. You do not fund a miss.
One price, built in the open.
The proposal itemises every feature or milestone, names its assumptions, and keeps a risk register with allowances. Allowances you never use are not billed.
- Business units in scope
- Use-case portfolio size
- Data-readiness depth
- Governance and risk design
Knowledge sources and an owner for them are named in week one.
If falseDates move by the delay, written down. The price holds.
Quality is measured against the test set we agree together.
If falseA changed test set is re-priced before it is used.
Content and data-access rights are cleared by your team.
If falseAnything blocked is flagged immediately, with a costed alternative.
- Cloud hosting
- Third-party licences
- Model and API usage
Invoiced in USD for international clients, with the currency fixed in the SOW. You own it. Code, models, documents, and credentials transfer on payment.
Built on a production-grade stack.
We pick tools proven in production and maintainable over long lifecycles - not whatever is trending. These are a few we reach for here; explore the full stack behind our engineering.
Explore our technology stack →
What buyers ask before they commit.
Straight answers on timelines, price, risk, and ownership, the same terms that appear in every proposal.
01What is AI Transformation?
AI transformation for enterprises and PSUs: a prioritised roadmap, data foundations, and production delivery that turns pilots into operating capability.
02How quickly does AI Transformation deliver a first result?
A prioritised AI roadmap in 3 weeks. Typical milestones are Week 1: stakeholder interviews and data-readiness scan; Week 3: scored use-case portfolio and staged roadmap; Day 60: first priority use case in production. Exact dates are written into the statement of work before you commit.
03How is AI Transformation priced?
Fixed-scope project: one price per milestone, with a first-release date, itemised in a statement of work within five working days of scoping. Payment is released as each milestone is accepted against written criteria. Cloud hosting, licences, and model usage are passed through at cost. International clients are invoiced in USD. The main price drivers are business units in scope, use-case portfolio size, data-readiness depth, governance and risk design.
04What happens if the scope changes or the work overruns?
The price stays fixed. A change to scope is quoted in writing, with its cost and date impact, and starts only after you approve it. If our own estimate was wrong, the overrun is ours, not yours. You see the budget position against milestones at every demo.
05Who owns the code, models, and documentation?
You do. Code, models, and documentation transfer to you on successful handover. Code, architecture documents, deployment scripts, and credentials transfer on payment, with no licence back.
06How are security and compliance handled?
Governance, model risk, and data-protection requirements are written into the roadmap before any build starts.
07Do you work with clients outside India?
Yes. We are based in Noida and work with clients around the world, delivering remotely. Calls and demos are scheduled in your time zone, proposals and contracts are in English, international clients are invoiced in USD, and every engagement follows the same fixed-scope terms regardless of where you are.
08When would you decline to fix a price?
If the scope is not yet defined, we do not guess a number. We propose a short, time-boxed discovery with its own fixed price, then quote the build.
Move from pilots to operating capability.
If you have a list of AI ideas and no clear order of play, a short working session with our founders will usually surface the first two or three moves worth funding.