Action Layer
Put agents to work on the administrative tasks that free finance teams capacity.Purpose-built agents take on the investigation, outreach, and resolution steps that fill an auditor’s day. They work only on risk Oversight has identified, and they stay inside the governance you set.
Agents handle the queue. They work the exceptions you assign them and see each one through. An invalid receipt gets worked with the submitter until it's resolved. A duplicate payment gets prevented. An overdue exception gets escalated with the context already assembled. Your people keep the judgment calls and the final say.
Explore the PlatformWHY THE ACTION LAYER EXISTS
Faster path to resolution
When the Intelligence Layer scores a finding with high confidence, the steps to resolve it are well understood. Agents will pull the history, check it against policy, request what’s missing, and apply the same resolution an auditor would, providing full transparency and explainability behind every one.
That frees the audit team for the work that actually needs a person: complex investigations, process improvements, and the judgment calls a model shouldn’t make on its own. The agents handle the repeatable resolution. Your team spends its time where expertise pays off.
WHAT THE ACTION LAYER DOES
Agents that move the exception forward, with a record of every step.
Reads the exception
Pulls the transaction history, prior behavior, related exceptions, and policy context into one view, so nobody starts the investigation from scratch.
Reaches out
Drafts and sends the follow-up to the employee or vendor, using your language and your rules for when contact is appropriate.
Resolves the routine cases
Closes duplicates, sends back invalid receipts for resubmission, and clears other repeatable, rules-driven items within the thresholds you approve.
Routes and escalates
Sends anything complex, high-value, or overdue to the right reviewer with the case already built out.
Records everything
Captures the decision, the evidence, the communications, and the policy rule behind each step, whether an agent or a person did the work.
GOVERNED EXECUTION FOR FINANCE
The agents act inside your rules, or they don't act.
Moving real money and dealing with real people is not where you want open-ended automation. Oversight agents are narrow by design. Each one works only on risk Oversight has identified and stays inside your policies, thresholds, exclusions, and escalation paths. This is governed execution, not automation for its own sake.
You set how far each agent goes, and you can change it any time.
The agent does the heavy lifting: it reviews the exception, assembles the context, drafts the outreach, and recommends a next step. A reviewer confirms and completes the action. The four-step manual process becomes two human checkpoints with the agent handling everything in between.
For specific, repeatable case types you've approved, the agent carries the exception all the way through on its own, only when your confidence and dollar thresholds are met, and always with human override available.
USE CASES
Put governed action to work across repeatable risk workflows
Routine follow-up for known risk patterns
Exception summaries and investigation support
Escalation of high-risk or overdue items
Approved low-risk resolution
Audit trail creation
Evidence requests and document collection
Risk-based routing and case assignment
AI-assisted recommendations
Employee outreach and policy coaching
Resolution tracking and outcome reporting
THE VALUE FOR FINANCE LEADERS
Convert intelligence into measurable outcomes
Resolve risk faster
Reduce repetitive manual follow-up
Improve consistency across teams and regions
Scale operations without proportional headcount
Move teams toward judgment-centered work
Track outcomes from identification through resolution
Keep AI actions policy-bound
Strengthen audit defensibility
GETTING STARTED
Move from identified risk to governed resolution.
There's no switch to flip. Run agent-enabled exception handling alongside your current process, compare the outcomes on your own data, and expand where the results earn it.
Demo Oversight