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Product · Prove
A committee-ready record for every AI actor.
Tallin governs AI use by humans, apps, and agents, then proves it. The board pack is a coverage-aware, sourced, signable artifact with a per-actor AI Agent Review: owner, approved model scope, budget, policy state, and findings. The same PDF goes to your board, your auditor, the customer security team, and the platform owner asking who their agents answer to.
Evidence and exports
Produce the report without rebuilding the evidence.
Choose the audience and reporting period, preserve the evidence cutoff and coverage state, then export a versioned artifact with its history intact. The same operating record supports board, audit, customer diligence, and policy reporting.
- Choose the right artifactGenerate board, AI Agent Review, DDQ, or policy outputs from one record.
- Keep coverage visibleCarry source completeness and evidence cutoffs into the report.
- Sign and retain versionsPreserve the release history instead of overwriting prior evidence.
Why this matters
Autonomous agents are arriving. Most teams can’t answer for them.
Gartner projects 150,000+ AI agents per Fortune 500 by 2028, yet only 13% of teams feel adequately governed. The board pack turns Tallin’s live record into a versioned, signable document. Each result retains its observed, inferred, enforced, or not-covered label so a board, auditor, or customer can see both the answer and the limits of the evidence.
What’s in it
Seven sections. Every claim sourced.
AI spend, sanctioned and unsanctioned activity, priority risks, and the trend leadership needs to see.
Owner, model scope, budget, policy state, shutdown status, and open findings for each governed actor.
Observed, inferred, enforced, and not-covered activity shown separately, including known gaps outside Tallin.
What each rule requires, how it is applied on routed traffic, and where evidence or enforcement is still missing.
Provider, model, actor, team, usage, cost, timestamp, source, and coverage state in one view.
Material exceptions, anomalous spend, policy events, and disabled actors, each linked to its source record.
Usage, cost, coverage, and enforcement tracked against an honest baseline.
Where it gets used
The same pack works for five different audiences.
The board pack isn’t a marketing deck. It’s a working document that replaces the bespoke decks, screenshots, and spreadsheet exports security and platform teams normally generate from scratch for every audit cycle.
Quarterly AI governance update. Show every AI actor has an owner, a budget, and a policy: the controls are real, coverage is growing, and risks are managed, not just enumerated.
AI controls evidence. Same artifact, exportable as PDF, with every claim sourced and timestamped.
Attach to DDQ responses or share under NDA. Saves three rounds of follow-up questions.
Account for every agent and app spending against the AI bill (owner, model scope, budget, and findings) without chasing teams for a spreadsheet.
AI-usage attestations for sponsor banks, BSA/AML examiners, and other regulated relationships.
How it’s produced
It's generated from your live ledger as a signable PDF.
Tallin connects to your providers, identity, and expense systems on day one, and attributes the AI it routes to an owning actor. The board pack is generated from that live ledger, not a static export. When you onboard a new agent, connect a new provider, or close a coverage gap, the next version automatically reflects it, with no re-templating or copy-paste.
Provider admin APIs (OpenAI, Anthropic, Microsoft, Google), identity (Okta, Microsoft Entra), expense (Brex, Ramp, CSV), gateway, and CASB/network logs.
Tallin ties each row to an owning actor and tags it with its source and confidence. The board pack inherits those labels. Nothing in the PDF is more certain than the underlying signal.
One-click PDF, versioned, with the issuing user and timestamp on the cover. Re-run any time. Last week’s artifact stays intact.
Know who every AI actor answers to.
Connect your first provider signal, route an actor through Tallin, and generate a board pack with its AI Agent Review. Then put it in front of your CISO, your auditor, and the VP Eng whose agents it covers to see whether they'd accept it.