Core AI Strategy & Advisory Services
Everything that has to happen before you spend a rupee on a model. We work backward from your business to the smallest set of builds that move a real number.
AI opportunity assessment
We map where AI can actually earn its keep in your operation, and where a script would do the same job cheaper. The bad ideas die here. That's the cheapest they'll ever be to kill.
- Workflow audit of where time and money leak today
- Impact scored against effort, not a wish list
- A "not yet" list, so you stop funding what the data can't support
AI use case discovery
The best use cases don't come from the leadership deck. They come from the person doing the workaround every day. We pull candidates from the people closest to the work, then test each against feasibility and return.
- Interviews with the teams who feel the problem, not just approve budgets
- Every candidate scored on data readiness and payback
- A shortlist you can defend to a CFO, not just a CTO
AI roadmap
A roadmap answers what the demos never do: what we build first, and what has to be true before we can. We sequence the shortlist so early wins fund the harder work, and nothing gets scheduled before its data is ready.
- Phased sequence tied to dependencies, not hype cycles
- Data and platform prerequisites named per phase
- A first build small enough to ship in weeks and prove the model
AI strategy grounded in your stack
We're a data engineering team first. So when we hand you a strategy, we've already checked whether your pipelines, models, and governance can carry it, and told you where they can't.
- Build-vs-buy calls made on real cost, not vendor optimism
- Strategy scoped to what your current stack can actually run
- A plan the same team can help you execute
