Put governed AI to work.
Start by the outcome you need, or the seat you sit in. Either way, every action runs under your permissions and lands on a record you can verify — so the team does more without anyone losing control.
Put an agent on the routine — the result arrives under your permissions, on a record you can verify.
Seven ways to put AI to work.
These are the jobs the platform is hired for — from agents handling the routine to standing up GRC that passes your audit. Every one inherits the same permission model and verifiable record.
Find the case for your seat.
Every role evaluates trust differently — the CEO wants leverage without a black box, the CISO wants permission that holds, Counsel wants proof that isn’t self-certified. Here is the specific case for each.
I want AI leverage without betting the company on a black box.
Run every department on one platform, with AI that does the routine under limits you set and asks a person before anything consequential.
See the case →I'm paying for a dozen systems and the glue between them.
One governed platform over the systems you already run: one login, one permission model, one record. Bring your own AI model — commercial or self-hosted — and switch whenever you want. No lock-in, and we never train on your data.
See the case →How do I let AI act without it going around my controls?
An agent can only ever touch what your permissions allow — resolved per person, down your whole org, denied unless you allow it. Your data is walled off to your organization and never leaves the boundary.
See the case →When a regulator asks what the AI did, I need proof.
Every action and every permission decision is written to a tamper-evident record an auditor can verify independently — change one entry and the chain breaks. Consequential actions stop for a named person’s approval. The answer is cryptographic, not "a log file you hope is complete."
See the case →My decade of PDFs and email is dead weight.
It becomes searchable by meaning — every claim in an answer links to the exact source document, which opens beside it. No public indexing, and we never train on your data.
See the case →My team drowns in routine work.
Agents handle intake, classification, search, follow-up, reconciliation — each under a hard spending limit, asking before any high-stakes move. And they build the views, reports, and tools you need, described in plain language, without waiting on engineering.
See the case →I have to roll agents out org-wide without losing control.
Govern an org-wide agent rollout: delegation that can never widen authority, human approval for every consequential move, and every agent on the same record as your people.
See the case →See it on your work, in a walkthrough.
Bring the outcome that matters most, or the seat carrying the question, and we’ll show you the platform running for it: the permissions that hold, the record you can hand to an auditor, and the agents handling the routine your team shouldn’t.