01
New projects
A paragraph about the problem is enough to start. We reply within two working days, usually with questions rather than a quote.
AI · Service AI consulting and strategy
AI consulting from engineers: find the use cases worth building, check your data and systems are ready, decide build or buy, and leave with a costed roadmap.
In short
AI consulting helps a business decide where artificial intelligence is worth using, and how to do it safely. Done well, it produces a short list of use cases ranked by value and risk, an honest view of whether your data and systems are ready, a build-or-buy recommendation for each, and a roadmap with costs. Our consultants are the engineers who would build the result, so the advice stays practical.
- How to engage
- Modernization audit, Fractional CTO
- Practice
- AI
Signs this is the right service
- Leadership wants an AI plan and the team does not know where to start.
- Many AI ideas are competing and none has a clear business case.
- A pilot worked in a demo but nobody knows how to take it to production.
- You need to choose between AI vendors, platforms and building in-house.
What you get
Use-case discovery
Workshops and interviews to find tasks where AI saves real time or money, ranked by value, feasibility and risk.
Readiness assessment
Where your data lives, its quality and permissions, and which systems an AI feature would need to reach.
Build, buy or wait
For each use case: an off-the-shelf tool, a custom build, or not yet — with the reasons written down.
Risk and governance
Data protection, model risk, human oversight and the policies your teams need before rollout.
Roadmap and estimates
A sequenced plan with effort, running costs and success measures for each step.
The process
- 01
Listen
Interviews with the people who do the work today, not only the people who want AI.
- 02
Test the shortlist
Quick prototypes on your real data for the top ideas, so the ranking is evidence, not opinion.
- 03
Write it down
A plain report: what to do first, what to buy, what to avoid, and why.
- 04
Optionally build
If you go ahead, the same engineers build the first use case.
Use-case workshopsPrototypingClaudeOpenAIOpen modelsEvaluation
AI consulting & strategy: common questions
How long does an AI strategy engagement take?
- Typically two to three weeks for a focused assessment and roadmap, longer if many teams are involved.
Do you recommend specific vendors?
- We recommend what fits each use case, including off-the-shelf tools when they are good enough. We have no reseller arrangements that would bias the advice.
What if our data is not ready?
- That is a common and useful finding. The roadmap then starts with the data work that unlocks the most valuable use cases.
Can you train our team?
- Yes — on using AI tools safely, and on building and evaluating AI features for your engineers.
06 / Let’s build
Bring us the difficult problem.
02
Careers
Engineers, designers and researchers who like systems that are hard to get right. Send something you built and what you would change about it now.
03
Studio
Based in India and working remotely, with overlap hours agreed up front so your team always has a time to reach us.
04
Read
Guides on AI agents, RAG, MCP, tokenization and chain abstraction, written by the engineers who build them.