The problem
Most AI initiatives fail before
the model is even chosen
Fragmented data, ungoverned platforms, unclear use cases, and teams without the skills to sustain what gets built. The pattern is consistent — and avoidable. AI-readiness is not a technology purchase; it is a state your organisation reaches deliberately.
Three pillars of approach:
- Assess – A structured readiness assessment across four dimensions: data estate, platform landscape, governance and risk, and team capability. Output: a prioritised use-case roadmap with effort, dependency, and payback estimates you can take to your board.
- Build – We deliver the foundations and the first production use cases — semantic data models, agentic AI on Salesforce Agentforce or Azure, document intelligence with Setu, AI-enabled SAP processes — with evaluation and guardrails engineered in.
- Enable – Your teams learn to run and extend what we build. Our tiered AI curriculum — LLM fundamentals through agentic patterns to production discipline — is the same programme we use to train our own consultants.