A practical copilot inside your controls
Ask why. See the evidence. Approve the action.
Use a workspace-aware assistant to explain products, recommendations and collection failures—while every proposed operational change remains behind guardrails and approval.
Context and user control are part of every answer.Why is this product ranked 6th of 13?
Its total price is 5.1% above the tracked competitor median. Three comparable in-stock offers are currently lower. One cheaper offer is excluded because it is unavailable.
Market snapshot · 12 minConfirmed matches · 13Definition · total price
AI needs operational boundaries
A confident answer is not enough when the next step changes a price or data workflow.
Reevals separates explanation, proposed action, approval and execution so accountability stays clear.
The answer lacks workspace context
Generic guidance cannot explain the actual product, rule or failed collection step.
A suggestion becomes an action
Operational changes need an explicit boundary between proposing and applying.
Accountability disappears
Teams need to know who asked, what was proposed, who approved and what changed.
One assistant, explicit operating modes
Ask, explain and prepare—but keep operational authority outside the answer.
The assistant can explain product, scraper, catalogue and pricing context. Actions still pass through the same validation, permissions and approval controls as every other workflow.
- No credentials or hidden internal data in the response
- No action outside the user’s permitted workspace
- No operational change without the normal approval path
assistant / reviewed-contextThe product is above the tracked median because three reviewed, in-stock comparable offers are lower.
Governance follows the workspace
AI should not become a side door around roles and audit history.
The same company scope, user role and page context that shape the application also shape what the assistant can explain or prepare.
- Company-scoped product and workflow context
- Role-aware explanations and suggested actions
- Structured history for follow-up questions
- Operational decisions remain recorded in the product audit trail
Permission checkPricing analyst · product 40218
EvaluatedRead market evidenceCompany and product scope match
AllowedExplain recommendationReviewed knowledge available
AllowedApprove pricePricing lead permission required
DeniedPublish externallyApproval and channel permission required
DeniedUseful assistance inside a controlled system
Use AI where explanation reduces work—not where certainty has to be invented.
The best scenarios are grounded, reviewable and connected to a real workflow state.
Recommendation explanations
Ask which market signals, product relationships and safeguards shaped a suggested price.
ExplainableData-workflow diagnostics
Understand a failing collection step with relevant run and configuration context.
GroundedProposed fixes and actions
Turn an explanation into a reviewable proposal without silently applying it.
Draft onlyApproval and audit trail
Keep roles, guardrails, overrides and accountability attached to operational outcomes.
GovernedAssistance without invented authority
A copilot—not an autonomous profit engine.
Operational actions stay behind permissions, guardrails and approval, with an accountable record of the result.
- 01No robot or autonomous-profit promise
- 02No action without configured authority
- 03No answer without visible context and limitations
Questions before implementation
The practical questions teams ask first.
The useful answer depends on your catalogue, sources, constraints and ownership. These are the boundaries we establish before automation.
No. It can explain and propose an action, but execution follows configured permissions, guardrails, approval and channel controls.
The active workspace can provide reviewed product knowledge, market observations, pricing rules, documentation and relevant workflow diagnostics.
Yes. It can explain the failing step and propose a fix using the available run context, while the change remains subject to review.
Questions, proposals, approvals and resulting operational actions can remain connected in the audit history.
Continue the decision loop
Connect the next capability when the workflow needs it.
AI and governance
Bring one real decision—not a perfect data set.
We will map the evidence, constraints, ownership and technical boundary required for a useful first workflow.