A workforce of AI agents on your real production work — where capability compounds as your organization reuses it.

You direct. The agent builds. Everything ships governed.

One arc, whichever flavor you need: the worker judges, the agent does the work, and every mini-program leaves a signed trail.

The worker instantiates the means of production.

Instead of renting a bloated suite they use ~5% of, a worker puts a workforce of agents on their real work and bottles their judgment into named, reusable units the whole organization runs and reuses. Three ways to see it:

Governed free-form codegen — wrapped, not caged.

The agent generates freely; a Cognitive-Orchestration harness wraps that generation — guides it to expert quality, guards it fail-closed, and makes it pass an eval — so you get full expressive power and safety. Picture it as layers around the generation, not a box it's confined to:

There is no Lego catalog and no constrained action space. The agent generates free-form, drawing on broad, general building blocks — typed capability nodes and broad horizontals — as raw material where useful; generation is primary, the blocks are never a catalog it assembles from. Domain-specificity enters through the worker's distilled expertise, never pre-canned from a shelf — a niche "cross-border-VAT vertical" is rejected as a productized unit; the VAT judgment is distilled from the expert.

Guide and guard — safety without a cage.

Five component types do two jobs. One adds expert competence; the other makes the agent fail closed. Neither narrows what it can express.

The AI executes every step. The human supplies strategic judgment.

Human-on-the-loop, not in-the-loop. Strong guidance means the draft arriving at each judgment point is already expert-grade — so the gates are low-friction, not no-attention.

The six-phase spine carries the work; the human owns exactly three hard gates.

You cannot skip it. And "green" has to be earned.

Vetting is a phase, not a courtesy — multi-round adversarial red-team to a numeric convergence threshold set before round one and approved at the plan gate. Eval means actively trying to break the artifact, and it is a runnable test workflow, never a promise.

0 findings → promotable. The mutation-test negative control proves the eval can go red.

The mutation-test negative control is a non-waivable promotion blocker: the engine seeds deliberately-broken variants and proves the eval catches N-of-N planted errors. That converts "green" from belief into evidence — the thing that separates this from a copilot's confident dashboard. Every miss diagnoses to a named artifact; debugging is deterministic, not "re-chunk and pray."

Governance falls out here — the verification gradient, in code

Never inherit unproven.

Every capability carries a signed, append-only record that travels with it. Reuse is not a copy — it is a choice between standing on proof and re-earning it.

There is no blind inherit and no unvetted sideways propagation — even when a capability graduates to shared reuse, its proof is not auto-transferred to the consumer. The customer keeps the accountability; we give them the proof. "The AI did it" is never a defense, and Integrum is never in the customer's liability chain.

The only thing that varies is the frontend.

Two flavors, one system. A worker moves from one to the other by adding a frontend — not by switching products. Same engine, same substrate, same harness, same eval, same lineage.

Twelve country offices ping her ~30×/month. She puts her judgment on the platform so her expertise produces at scale without her in the loop.

Honest status: today a certified operator facilitates the elicitation and distillation; the fully self-driven conversational surface is the ambition (net-new — see § 10), not a reason to shrink the design.

Honest ICP: Tomás is only a customer if a cheap point-tool cannot serve him — compliance-bound, audit-required, org-compounding. If he just needs a plain CRM, he should buy Pipedrive. We don't position against a strawman suite.

Continuous maintenance, as a service.

24/7 maintenance agents on Integrum's own backend — the company dogfooding its own operating model — watch external regulatory and best-practice sources, draft candidate updates, run the evals, and route to a human control point before anything publishes.

Four parts, one role each — on a stack with commit SHAs.

You don't operate these; the platform does. But for the architecture-minded: the agent you talk to and the agent that ships inside what you build are different engines, and keeping them straight is load-bearing.

The layered stack — honest shipped / net-new labelsThe new platform is a consolidation of a real, operational architecture, not slideware. Each layer, and what is actually running:

Source anchors (opened, not asserted): kailash-rs @ f43eba0c (proprietary) · kailash-py @ babc7071e (Apache-2.0) · loom @ 6ee01b6f · CO / atelier @ 32bf7ab. The hard foundational layers are running today; the new product assembles them into one line.

Separate the moat from the reason to buy now.

Perfect the user flow, and it becomes the spine that consolidates a real running architecture into one product line.