When a reviewer opens an access review item, the AI co-pilot shows its suggested decision (Approve, Reject, or "needs more info") together with the reasoning. The reviewer can accept, modify or override - always in the driver's seat.
Approval rate in typical access reviews. Nobody really decides.
Reviewer sees a user-role pair and that is it. No usage, no risk, no peers.
Spent clicking through items, with the same default for each.
Reviewers approve everything because rejecting takes investigation time they don't have. The agent levels the playing field: it surfaces the same information for every item and proposes a defensible decision.
Agent reviews each open item before the reviewer opens it: usage signal, peer comparison, SoD context, recent role changes.
Forms a recommendation: Approve, Reject or "needs more info", with confidence score and rationale.
Presents the recommendation to the reviewer alongside the raw facts. Reviewer accepts, modifies or asks for more.
Final decision is reviewer's. Agent learns from disagreements and improves over campaigns.
User holds both POSTING and APPROVE - a P2P SoD conflict (RISK-FI-04). User has posted in 30/90 days, but never approved her own postings (mitigated by manual control MC-021). Cleanest fix: remove SAP_FI_APPROVE since the user does not actually approve.
Illustrative mockup from the smartReview certification flow. The AI SUGGESTION panel shows verdict + rationale next to Accept / Keep / Need more info.
Reviewer always decides. Agent presents the case: history, conflicts, mitigating controls. Confidence score makes it clear when to dig deeper.
Reviewers handle 100+ items in the time it used to take for 20. Decisions are more consistent because everyone sees the same evidence.
Open the interactive UX preview and explore the agent end-to-end.
Every decision is accompanied by readable reasoning so your team can audit and refine the agent's behavior over time.
Estimates based on customer interviews and benchmarking from comparable agent deployments. Real numbers will vary.
Reviewer can decide in seconds with full context vs minutes of investigation per item.
Reject rate aligns with real usage data, not reviewer fatigue.
Auditors see varied, defensible decisions, not 98% rubber-stamping.
Agent learns from human disagreements and improves between campaigns.
We are looking for design partners. If this agent matches a real pain in your operations, let's talk.