Grapine · AI Studio
You know AI should be saving your business time. Nobody has told you where.
We spend three to four days inside your business, find the five to seven places AI genuinely saves hours, and hand you a report specific enough to build from. Then, if you want it built, we build it.
No pitch. No commitment. No preparation required.
25y
in software
1
AI patent
5+
AI products shipped
Microsoft
+ Accenture background
Trusted by
What we hear
Three things we hear in almost every first conversation.
“We tried ChatGPT. It didn't stick.”
Someone on the team used it for a few weeks. It helped a little, nobody could say how much, and it quietly stopped. The tool wasn't the problem, it was never pointed at a specific process.
“We got quoted ₹10 lakh for an AI strategy.”
And the strategy pointed back at the same generic tools you'd already found yourself. A hundred slides, nothing you could hand to a developer.
“Our competitors are shipping. We're still researching.”
Not because you're slower. Because nobody has told you which of your processes is actually worth automating first.
What we actually do
The answer you get is specific enough to act on the same week.
Not “AI is great for customer service.” But answers like these, specific to your business:
The problem: Every week your team spends hours re-answering the same questions, from new starters, from other teams, from each other, because the answer is buried in an email chain or a document nobody can find.
The fix: Those answers can be pulled from your own documents and conversations automatically, with the source cited and a person checking before anything is finalised.
The problem: Every week someone spends a day assembling a status update, pulling numbers out of three systems and reformatting them by hand.
The fix: That report can be drafted from the systems you already use, with a person reviewing the numbers before it goes out.
The problem: After every meeting, the decisions and action items live in people's heads. A week later nobody can say what was agreed.
The fix: The notes, the owners, and the deadlines can be captured automatically and surfaced to the team, with a person confirming before anything is finalised.
That's the difference between advice and a decision you can make.
For businesses that want AI working, not AI discussed.
AI Opportunity Audit
3–4 days · written report · free discovery call
A clear answer to "where do we start?", specific to your business.
We go through your workflows, find the opportunities, score them by impact, effort, risk and readiness, and give you a report you could hand to any developer. Including one who isn't us.
- 5–7 opportunities found and scored
- Time savings estimated for your team size
- A written report, not a slide deck
Start here if: you know AI should help but not where.
AI Build
Scoped to the work · plan-first · clear brief
Bring a brief or bring a problem. We build either way.
Workflow automations, document pipelines, custom AI assistants. Every engagement starts from a written plan you approve before we write any code.
- Path A · you have a brief, we implement it
- Path B · you have a problem, we scope it and build
- Working software, with handover and training
Start here if: you already know what needs building.
You don't need an audit before you build with us. They're separate engagements, deliberately.
Every business has the same shape of problem. Only the details change.
The industry doesn't determine whether AI helps. The presence of repetitive, document-heavy, judgement-light work does, and that exists everywhere.
Accounting & CA firms
- 01client document intake
- 02reconciliation prep
- 03recurring filings
- 04query drafting
Legal
- 01contract review
- 02discovery triage
- 03precedent search
- 04first-draft clauses
Manufacturing
- 01vendor quote comparison
- 02quality reports
- 03maintenance logs
- 04compliance paperwork
Textile & exports
- 01order specifications
- 02sample tracking
- 03buyer correspondence
- 04shipment documentation
Professional services
- 01proposal generation
- 02client reporting
- 03research briefs
- 04meeting summaries
Not on this list? That's fine. If your team retypes, re-reads, or re-checks the same thing every week, there is something here worth finding. The audit is the same either way.
Case studies
Read all case studiesWhat the work looks like when it's done.
Real engagements, written up properly: the problem, what we built, and what changed afterwards.
Consumer goods
Anarvah Supplements
“Order intake and fulfilment paperwork consuming a full day each week.”
A full day a week back, without changing how the team works.
Read →Consumer goods
Pataaree
“Catalogue, order and client correspondence handled by hand.”
A clear picture of the hours and the risks, and a shortlist worth building.
Read →IT services
Confidential engagement
“Work across several teams had outgrown what people could carry by hand.”
A system of 30+ agents coordinating the work, with people where judgement matters.
Read →Products
Explore all productsWe don't just advise on AI. We ship it.
Five products, each one first a need inside Grapine: a cost problem, a quality problem, a volume problem. We built them for our own work, and because the problem is common, they're yours too. It's the reason our client work doesn't start from a blank page, and the reason we can tell you what actually holds up in production.
ContextPrune
Cuts what AI systems cost to run, without cutting quality. Open source.
PromptSpar
Trains teams to actually use AI, by doing rather than watching.
RivalRift
Finds the customers your competitors are losing.
ReplyRally
Handles high-volume responses without losing your voice.
NeonWeaver
Outreach that runs continuously and mostly unattended. Invite only.
From the field
All postsFrom the field, not the whiteboard.
How to write an AI brief that actually works
Most AI project briefs contain three things: a description of what the business wants, a rough sense of the technology involved, and a lot of assumptions that nobody has written down. The build happens. The assumptions surface. The result was not quite what anyone actually needed. A good brief is the document that makes those assumptions explicit before anyone starts writing code. It is not a long document. It is not a technical specification (that comes later, once a developer has reviewed yo
Why we only build from a specification, and how that protects you
Most AI projects don't fail because the technology doesn't work. They fail because nobody agreed on what it was supposed to do. The brief was vague. The scope kept shifting. The developer built what they understood, which was not quite what the client meant, which was not quite what the client's team actually needed. Six months later, something technically functional exists and nobody quite uses it. This is the most common failure mode in AI implementation. And it is almost entirely preventabl
What 25 years of building AI taught us that the current hype cycle forgot
Grapine's founder has been building AI systems for enterprise organisations since before most of the current conversation existed. Not in the sense of reading about it, advising on it, or building prototypes. In the sense of shipping production AI into large organisations and living with the consequences when it did and didn't work. That experience doesn't produce cynicism about the current moment. The capability jump of the last few years is real, genuinely significant in a way that previous w