Every compliance program has one of these.
A process that matters — but that no off-the-shelf tool covers. So it runs on inboxes, attachments, and institutional memory.
Requests arrive as messages and attachments. Approvals are a reply-all. The audit trail is somebody's inbox.
One request, three systems. Your team re-keys the same data between tools that were never meant to talk.
Core program data is scattered, so answering “how many, how much, how risky?” takes days — every quarter.
Skilled reviewers spend their days on routine, low-risk approvals. Judgment is your scarcest resource — spend it where it counts.
Any process. One system. Fully yours.
Opal is built around your policy — your forms, your thresholds, your routing, your approvers. Not a vendor's template.
Custom forms capture exactly the data your policy requires — no more, no less.
Automated policy rules apply your thresholds, limits, and warning signs instantly.
An AI agent assesses every submission and escalates the ones it identifies as higher risk.
The right human sees the right requests, with the AI's rationale attached. Every decision on the record.
Every data point lands in one place — sliceable, searchable, and ready for your next committee meeting.
An AI reviewer that knows your organization.
Generic AI gives generic answers. Opal's review agent works from prompts you control — loaded with your organizational context.
The AI agent reviews every transaction and clears the routine ones for human sign-off, escalating those it identifies as higher risk — so your team's attention goes where the risk is.
Tune the AI's instructions with what only you know: past investigations, current enforcement priorities, industry-specific risks, and the transaction patterns that worry you.
Ask questions of your program data in plain language. Get program-level insights — trends, outliers, and emerging risks — without exporting a single spreadsheet.
Every AI assessment comes with a written rationale, attached to the record. Reviewers see why something was escalated — and auditors see a defensible process.
Measure the AI before you trust it.
Nobody should flip a switch and hope. Opal's background review agent runs alongside your team first — and proves itself on your data.
The AI reviews every transaction in the background while your team keeps making the calls.
Track the agent's assessments against your team's actual approvals and rejections over time.
When the numbers hold up, let AI review carry the routine work: cleared items arrive ready for one-look sign-off, and everything the AI flags gets a human's full attention.
Illustrative dashboard. Your numbers, your threshold for relying on it.
If it runs on email today, it can run on Opal tomorrow.
Give-and-receive disclosures, spend thresholds, government-official flags.
Annual and event-driven disclosures, review, mitigation plans, re-certification.
Outside employment and board-seat approvals with policy screening.
Charitable giving and sponsorship requests with counterparty screening.
Pre-clearance for contributions and lobbying activity, with jurisdiction rules.
Code-of-ethics trade requests with restricted-list checks.
New vendor and partner requests triaged by risk before due diligence.
Structured exception requests with expiration dates and renewal reviews.
Pre-approval for meetings, hospitality, and engagements with officials.
Have a process that isn't on this list? That's exactly the point. Tell us about it →
Your quarterly deck, in minutes.
When every request flows through one system, your core program data is finally in one place. Customized reports mean the numbers your committee wants are ready before they ask.
Illustrative data.
Less busywork. Better decisions. A happier team.
Bring us the process you haven't been able to solve for. We'll show you what it looks like as a workflow — usually in the first call.
Book a demo