Four operating areas · one control model

AI workflows designed around the teams that remain accountable.

Coveniq connects approved data, explicit rules, human decisions and SaaS actions. Each solution begins with one measurable workflow and is configured around the customer’s real operating model.

Solutions by accountable team

Start with the operating area where approvals and handoffs already slow the work.

Each page describes the workflow boundary, business controls, system context and representative acceptance measures for a practical first deployment.

Common operating model

Different workflows. The same visible control structure.

Every solution is assembled from a small set of operating states that teams can inspect, test and accept before production rollout.

Review the platform model
01 · ContextApproved records gatheredOnly the sources included in scope
02 · RulePolicy condition evaluatedVersion and result retained
03 · DecisionNamed reviewer receives the caseEvidence travels with the request
04 · ActionApproved SaaS change releasedWrite-back remains bounded
Representative first scopes

Choose a workflow that is material, understandable and measurable.

The best starting point has a clear trigger, accessible evidence, known decision owners and an observable outcome.

Control model

Every deployment defines what the workflow may know, decide and change.

Permissions, policy versions, reviewer groups, thresholds and downstream actions are part of the workflow design and acceptance process—not hidden implementation detail.

Review security and governance
PolicyRules and thresholds remain visible to process owners.
AuthorityMaterial decisions remain with configured reviewer groups.
AccessIntegrations and actions are scoped to the agreed workflow.
HistoryEach run retains the evidence, decision and resulting action.