15+ years in sensitive, high-stakes bids. Now with AI doing the jobs AI is actually good at.
Rolling out AI across a large organization isn't a capability problem anymore. It's a control problem. Who can use it. What content it's allowed to draw on. Which model it runs on, and whether that's even acceptable for a given team. What happens to the data. How you prove, afterward, what was done and by whom.
Most tools answer the capability question and leave the control questions to you. VisibleThread was built the other way around. The governance is the foundation, and the capability sits on top of it.
You can't control or prove what you can't see.
Governance starts with a single source of truth. In VisibleThread, the whole lifecycle, capture, proposals, compliance, delivery, runs in one system of record rather than scattered across disconnected tools, personal drives, and email threads. Every requirement, every decision, every AI action, every review lives in one place, on one audit trail. That's what makes governance possible: here, you can see all of it.
The right rules for each team, administered centrally, enforced automatically.
The core governance primitive is the workspace, a self-contained environment with its own data, configuration, and access boundary. Partition by division, by sensitivity, by classification, by team. A commercial group and a classified program don't share content, prompts, or a view of each other's pipeline. People reach only what they're entitled to reach.
Crucially, each workspace is configured independently: its own stages, its own collections, its own dictionaries, its own prompt libraries. So governance isn't one blunt policy stretched across the whole company, it's the right rules for each team.
Turn AI on. Or off. Per your policy.
Not every team, environment, or client engagement permits generative AI, and your policy shouldn't depend on the tool. VisibleThread lets you control whether generative AI is available, so a workspace under a no-AI policy simply runs without it. The deterministic analysis, the shred, the compliance matrix, the compare, keeps working either way, because it isn't generative in the first place.
Run the AI model you're allowed to run
Enterprise and government buyers often can't use whatever model a vendor happened to wire in. VisibleThread's architecture isn't locked to a single model, so the platform can operate with the AI provider that fits your security posture, your approvals, and your environment, rather than forcing a model your security team hasn't cleared. As requirements change, the platform moves with them instead of trapping you.
An AI is only as governed as the content it draws on.
VisibleThread grounds generative work in collections, curated sets of approved content that you control, so the AI writes from your best, sanctioned material rather than whatever happens to be lying around. Administrators decide which collections exist, what goes in them, and which workspaces can use them. A commercial team never grounds on classified content; a team writing to one client never pulls from another's material. And every grounded answer is traceable to its source. Nothing is used to train any model.
You define the standard once. The platform holds everyone to it.
Governance extends to the words themselves. Prompt libraries give teams curated, approved prompts rather than everyone improvising, so quality and consistency are set centrally instead of left to whoever's best at prompting. Watchword lists and dictionaries enforce required terminology and ban the language you don't want in a document, weasel words, unsupported claims, terms legal won't sign off on, applied automatically and identically every time, because they run on deterministic rules, not AI.
Our world class, state of the art platform is best in class.
Demonstrate governance to an auditor, a regulator, or a client. Not just assert it.
Every action sits behind role-based permissions and a complete audit trail. Who touched what, when, on what basis, and what the AI was and wasn't allowed to do. For regulated, high-stakes, publicly accountable work, that traceability is the point.