Connected Risk Realized
The audit workspace your agents operate.
Works with the agents your team already uses
Every Phase, Supervised
Not a chatbot bolted onto a dashboard. Agents pull your data, run real workflow steps, and message you when they need a human. Nothing they do touches a live record until someone on your team approves it.
Agent · 9:38
I pulled the status and the instructions for the user access review and did the reconciliation.
Agent · 9:43
I drafted the RCM for the cybersecurity audit. Can you share the walkthrough transcript so I can finish it?
Agent · 9:58
I scanned the audit universe overnight and flagged an emerging risk to escalate.
Representative session. In production, every proposed change waits in the review queue for a named approver.
One Governed Record
Your auditors are one brain. The agents they direct are another. The third is the one they share: a governed record of risks, controls, audits, and evidence that both read from and write to, with a human approving every change.
Risks, controls, audits, and findings live in one graph. Follow any control to the risk it mitigates, the audit that tested it, and the finding it produced.
No embedded model. Bring whichever agent your organization already cleared. Switch the moment something better ships, without switching platforms.
Agents carry the routine work, so your auditors' hours go where judgment matters: advisory, emerging risk, the questions the committee actually asks. The function delivers more assurance for less.
The Cost of Waiting
01
Every deferred audit is risk the organization has quietly accepted, and next quarter starts further behind.
02
New systems, vendors, and AI go live between engagements. By the time it reaches the plan, the risk has already been running for quarters.
03
“What's our AI plan?” deserves an approval trail, not a slide.
It doesn't have to compound. The way out isn't another headcount ask: it's capacity your team can supervise.
How It Compares
The same connected risk, control, and audit graph you'd expect from Optro, Workiva, or TeamMate — but agent-native: bring the AI your organization already cleared, author your own workflows, and pay one flat price instead of by the seat.
| Capability | Cowork Canvas | Optro | Workiva | TeamMate |
|---|---|---|---|---|
| Bring-your-own AI agent | Yes | Partial | ✕ | ✕ |
| Customizable agentic workflows | Yes | Partial | Partial | ✕ |
| On-prem deployment option | Yes | ✕ | ✕ | ✕ |
| Unlimited customizable modules | Yes | ✕ | ✕ | ✕ |
| Human-in-the-loop governance | Yes | Partial | Partial | ✕ |
| Connected risk / control / audit graph | Yes | Partial | Partial | ✕ |
| In-app document editing | ✕ | Yes | Yes | Yes |
| In-app messaging | ✕ | Yes | Yes | ✕ |
| Cost | $ | $$$ | $$ | $ |
After You Connect
The plan ships without the new headcount. Every AI-touched workpaper carries an approval trail your external auditors can follow. And when the committee asks how your team uses AI, the answer fits in one sentence: our agents do the audit work, and we supervise.
The agents your organization already approved join your governed workspace.
Give them the work: draft risk assessments, pull populations, run test steps, file evidence, draft findings, all on your schema, in your process.
Approve every change before it's final. Nothing touches the record without a named human sign-off.
Pricing
More value-add, for less. Agents are included at every tier, a human approves every change, and the flat price doesn't move when the plan grows. No per-seat licenses, no per-action fees, no surprise bills.
Small teams
Studio
$25,000/year flat
Everything a team needs to put agents to work.
Most Popular
Masterpiece
$95,000/year flat
The platform, made yours.
White Glove
Private Collection
From $195,000/year
Your environment, your terms.
Built for internal audit teams of 5–100. Not for multi-year procurement cycles. Founding pricing is limited to the first 8 customers, locked for life. No discounts, no negotiation: the price you see is the price everyone pays.
Common Questions
None. There's no model baked into the platform. You bring the AI tools your organization has already approved, such as ChatGPT, Microsoft Copilot, Claude, or Gemini, or whatever comes next, and they work alongside your team inside the workspace. We never ask your security team to vet another vendor's model on our behalf, and if the tool you use today is replaced by something better next year, you adopt it without changing platforms.
Yes, the first agent-native GRC platform where your agents work alongside your team. Risk, compliance, controls, and audit live in one connected graph, and your agents work across all of it.
Yes. We offer a fully on-premise deployment for organizations that can never send audit data outside their firewall: banks, public sector, defense, healthcare, anyone with strict data-sovereignty requirements. Same platform, same features, running entirely on your infrastructure.
No. We begin by mapping your existing audit program (risk registers, testing procedures, workpapers, reporting) into the platform as it already runs. You decide when and where AI fits in afterward.
One day. The same AI that runs inside Cowork Canvas guides your team through the setup, maps your audit program with you, and stays available long after go-live. When the process needs to change later, adjustments take hours, not months.
Internal audit functions of roughly 5 to 100. Small enough that every added hour of capacity is felt, large enough that a connected program beats a folder of spreadsheets. The flat price doesn't change as your plan or team grows, so the value compounds rather than the bill.
The full engagement, end to end: planning and risk assessment, scoping, fieldwork and control testing, workpapers and evidence, review and sign-off, reporting, and issue tracking through remediation. It's one connected graph rather than a tool bolted onto a single phase, so your agents work across all of it and nothing falls between handoffs.