Blog & Resources

Notes on governed agentic AI.

Our writing is on the way. We're building a set of practical pieces on what it takes to let AI act inside a business system — safely, within permissions, and with a record of every decision.

▪ Coming soon

On the roadmap

Topics we're planning.

Governance

Why governance — not the model — is the differentiator for AI that acts inside a business.

Integration

The two-seam integration pattern: a web component and a five-method adapter, no platform-core changes.

Human-in-the-loop

The risk ladder: what auto-runs, what pauses for approval, and what stays blocked.

Context engineering

References, not raw records: how context minimization keeps sensitive data away from the model.

Interactive cards

Rendering agent output as twelve typed cards — plans, comparisons, tables, and diagrams — with no front-end coding.

Governed reporting

A governed reporting team that answers in plain language and returns provenance-tagged tables and diagrams.

Want the first posts when they land?

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See governed agents in your own product.

Book a demo and we'll walk your team through the governance model, the two-seam integration, and a use case for your industry.