AI handles ambiguity and interpretation. Deterministic logic handles calculations and hard rules. People remain responsible for consequential decisions.
Understand unstructured input, investigate context, and propose the next step.
Execute repeatable logic, validations, and hard business constraints deterministically.
Review sensitive decisions before the system takes a consequential action.
Govern AI
Set approved models, distribute capacity, and understand recurring needs and friction from real usage.
Which models can people use?
Admins choose approved models and effort by mode, with residency-aware policy and optional role or user overrides.
Organization defaults and user choiceHow much capacity belongs where?
Start with an organization default, tune it for each role, and override a person only when their work genuinely requires it.
Organization → role → individualWhat are people trying to accomplish?
Repeated questions and friction give admins evidence to spot missing definitions, source data, or business context and improve the experience around real work.
Questions, needs, and improvement signalsPut it in context
AI is one part of a dependable system. Inspect the shared context it works from, the controls around every run, or the full platform that joins them.
See the primitives, Data Foundation, and operating controls as one environment.
See how company data, definitions, rules, and relationships become usable context.
Review access, versions, approvals, operating history, and human control.
Govern credit spend, model defaults, and build-mode access across your organization.
Set model and effort defaults for analyst and builder work. A reduced set can take over when the organization reaches its downshift threshold.
Where your data is processed is governed by your Data Processing Agreement. Model residency is set in Approvals.
Users can choose within their allocation. Role and individual overrides can narrow that choice where needed.
Govern credit spend, model defaults, and build-mode access across your organization.
Monthly credit allocation per user. Roles override the org default; individual exceptions override the role.
The fallback allocation applied to any user not covered by a role or individual rule.
Qualitative signals from user–Ronja conversations
Follow-up work after the first answer
Satisfied54%
Neutral31%
Frustrated13%
Margin after freight and rebatesCommercial teams compare quoted margin with final landed cost and ask which definition applies.
74Backorder exposure by warehouseOperations teams ask which open orders will miss the promised date and why.
41Dealer risk before account reviewsAccount owners investigate order decline, margin change, and overdue invoices before meetings.
29Inventory turns for slow-moving SKUsFinance and supply teams revisit stock coverage and ageing across ERP locations.
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