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Working with IAM policies is painful. This migth help make it easier

We help teams move from promising AI prototypes to production systems you can evaluate, govern, and operate. We can deliver this using our Ikentic platform, or on an equivalent bespoke stack when your requirements call for it.
Start with clarity. We align outcomes, risks, and governance from day one, then design the plan that makes your AI evaluable and production-ready. We design retrieval patterns, data contracts, and access controls that make knowledge context and agentic applications evaluable, governable, and production-ready.
AI Journey
Turn pilots into production services. We put evaluation, governance, cost controls, and incident readiness in place so AI delivers predictably.
AI Journey
Move beyond chat to working AI. We prototype workflows that integrate with real systems, then harden what works into governed, repeatable operations.
AI Journey
The AI Journey is the same engagement either way. The difference is whether we accelerate delivery using our products, or build the equivalent on your preferred stack.
Use Ikentic (IKE + the IKE Workbench) to define Knowledge Collections and Knowledge Work Agents, and Locus AI for first-mile capture and traceable retrieval.
This path is fastest when your requirements fit the Workbench model and you want a governed default.
Build on your preferred architecture (hosted or self-managed) with bespoke ingestion and capture flows, a retrieval layer, evaluation harnesses, governance controls, and deployment design aligned to your constraints.
This path fits when you need custom runtimes, strict infrastructure boundaries, or deeper integration control.
Both options include: evaluation gates, governance-by-design, cost controls, and production operations.
Strategy, governance, and deployment practices for AI systems with lineage and accountability.

Working with IAM policies is painful. This migth help make it easier


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Start with our platforms, or work with us to build and deploy yours.