AI strategy, applied LLM and agentic solutions, and automation that moves from pilot to production - with the governance to keep it there.
Find the use cases where AI changes a cost, a cycle time or a customer experience, rank them by value and feasibility, and sequence them.
Assistants, retrieval over your own documents and data, and agents that complete multi-step work inside your existing systems.
Automate the repetitive, rules-heavy steps around your people - document handling, triage, reconciliation and reporting.
Evaluation, guardrails, data-handling rules and human review designed in from the start, plus the training to get teams using it.
A focused assessment that ends with a ranked shortlist and a recommendation on what to build first.
Take one use case to a working build on your real data, so the decision to invest rests on evidence.
A pilot exists but is not dependable enough to roll out. We add evaluation, monitoring and integration, and take it live.
We are model- and vendor-agnostic: the recommendation follows the use case, not a preferred stack.
The same team builds and maintains a consumer app with AI at its core.
Tell us what you are trying to automate or improve and we will tell you honestly whether AI is the right tool.
