# CoworkCanvas

> Your agents do the work. You supervise. CoworkCanvas is the audit workspace your AI agents operate: an agent-native audit & GRC platform for internal audit teams of 5–100. Connect the AI your organization already approved (Claude, Microsoft Copilot, ChatGPT, Gemini) across the full engagement (planning, fieldwork, reporting, follow-up) with complete traceability: nothing touches the audit record until a human signs off.

CoworkCanvas is the "third brain for the third line": your auditors are one brain, the agents they direct are another, and the third is the one they share: a governed record of risks, controls, audits, and evidence that both read from and write to. Agents work like staff; your team supervises like reviewers. The same hierarchy audit already runs on.

Built on governance:
- **Supervised autonomy**: agents execute; a named person approves every change before it's final.
- **Enterprise-grade security**: the standards your IT team requires.
- **Complete audit trail**: every proposal, approval, and change, exportable and defensible.
- **Your AI, not ours**: no baked-in model; bring the tools your security team has already cleared.

## How Cowork Canvas compares to Optro, Workiva, and TeamMate

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. An honest feature comparison, including the two rows where we say "not offered":

| Capability | Cowork Canvas | Optro | Workiva | TeamMate |
|---|---|---|---|---|
| Bring-your-own AI agent | Yes | Partial | No | No |
| Customizable agentic workflows | Yes | Partial | Partial | No |
| On-prem deployment option | Yes | No | No | No |
| Unlimited customizable modules | Yes | No | No | No |
| Human-in-the-loop governance | Yes | Partial | Partial | Partial |
| Connected risk / control / audit graph | Yes | Partial | Partial | No |
| In-app document editing | No | Yes | Yes | Yes |
| In-app messaging | No | Yes | Yes | No |

We don't do in-app document editing or messaging. Your team already has best-in-class tools for those, and we'd rather connect to them than reinvent them.

## What agents do

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:

- **Pull whatever data they need**: the status of an audit, plus the instructions and context to perform a step in your process.
- **Do whatever a user can do**: but never change the actual record without human approval.
- **Use the prompts and agents you already have**: no rip-and-replace, no proprietary agent framework to learn.
- **Scan the audit universe**: continuously survey risks and controls across the enterprise to keep the plan grounded in reality.

Examples: create a results file and upload it; build a form; complete a form; create Audits / Issues / Risks / Controls / Processes; link those records across the graph; scan and escalate emerging risks.

## The third brain for the third line

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.

- **Connected, not siloed**: 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.
- **Neutral, not proprietary**: no embedded model. Bring whichever agent your organization already cleared (Claude, Copilot, ChatGPT, Gemini) and switch the moment something better ships, without switching platforms.
- **Value-add, not cost center**: 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

- The plan grows; the headcount doesn't. Every deferred audit is risk the organization has quietly accepted, and next quarter starts further behind.
- Ungoverned AI is already in audit shops, including ones with a policy against it. The question isn't whether your team uses it; it's whether you can defend how.
- The audit committee will ask. "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.

## What changes

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.

1. **Connect**: the agents your organization already approved join your governed workspace.
2. **Assign**: give them the work: draft risk assessments, pull populations, run test steps, file evidence, draft findings, all on your schema, in your process.
3. **Supervise**: approve every change before it's final. Nothing touches the record without a named human sign-off.

## Your AI. Your data. Your environment.

- **Your AI**: no model baked in. Bring the tools your security team has cleared (ChatGPT, Copilot, Claude, Gemini) and upgrade as the market does.
- **Your data**: every risk, control, finding, and prior cycle stays yours; the AI works from your connected graph, never a black box.
- **Your environment**: run it fully on-premise if you need to: same platform, same features, on your infrastructure.

## Future-proof by design

Rigid, locked-in platforms age badly. An open, AI-native platform with a flexible schema is what survives the shift to agentic work. Your data stays yours, your agents stay yours, and the system bends to your process for years, not quarters. The shape of a custom build, none of the maintenance.

## Build vs. buy: best of both worlds

Get the flexibility of a bespoke build with the security and support of a trusted vendor:
- **Full flexibility, zero maintenance**: your team decides how the platform behaves; we handle the upkeep.
- **Enterprise security, included**: access controls, reliability, and backups maintained by us.
- **Built for your team**: business analysts adjust workflows and dashboards without a developer.
- **Move faster, together**: a fully maintained platform and a community of audit teams moving in the same direction.

Less than the cost of one developer: CoworkCanvas costs a fraction of one developer's salary and delivers more than a team of five could maintain.

## Pricing

No seats. Ever. 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.

- **Studio: $25,000/year flat** (small teams): unlimited users, bring-your-own agents (Claude, Copilot, ChatGPT, Gemini), 100+ open-source workflows plus the full compliance baseline, author and edit your own workflows, multiplied agent capacity. Everything a team needs to put agents to work.
- **Masterpiece: $95,000/year flat** (most popular): everything in Studio, plus custom item types and schemas (design your own GRC on the platform), custom dashboard suites, SSO/SCIM, and priority support. The platform, made yours.
- **Private Collection: from $195,000/year** (white glove): everything in Masterpiece, plus white-glove onboarding where we co-design your GRC with you, data residency, and named support. Your environment, your terms.

No per-seat licenses, no per-action fees, no surprise bills. 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.

## Governance your board can trust

Your auditors and the AI they direct work from the same queue, the same approval steps, the same evidence record: one standard for the function, whether a person or an AI proposed the change. Governance is the foundation the platform sits on, not a feature bolted on.
- **Defensible on every front**: every action is logged the same way: who asked, what was proposed, who approved it, when it happened.
- **Adopt at your pace**: start with your audit program exactly as it runs today; introduce AI where and when you choose.

## FAQ

**Can AI change live audit records on its own?**
No. This is the one line that never moves. Every change an agent proposes sits in a review queue until a person on your team approves it. No exceptions, not "almost always." An unreviewed change to audit evidence is precisely the defect the profession exists to catch, so the platform makes it structurally impossible: it's how the system works, not a configuration setting.

**Do you build your own AI?**
No. You use the AI tools your organization has already approved (ChatGPT, Microsoft Copilot, Claude, Gemini, or whatever comes next). We never ask your security team to vet another vendor's model on our behalf.

**Is CoworkCanvas a GRC platform?**
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.

**How is our data protected?**
Encrypted at rest and in transit using banking-grade standards. Each client has its own isolated environment; your records never sit next to anyone else's. Access is controlled through your existing single sign-on and security policies.

**Can we host Cowork Canvas inside our own environment?**
Yes. We offer a fully on-premise deployment for organizations that can never send audit data outside their firewall: banks, public sector, defense, healthcare. Same platform, same features, running entirely on your infrastructure.

**Do we have to rebuild our audit process to use it?**
No. We map 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.

**Does it work with our sign-on and IT systems?**
Yes. All major enterprise single sign-on systems are supported, included on every deployment (not a premium tier).

**How long does onboarding take?**
One day. The same AI that runs inside Cowork Canvas guides setup, maps your audit program with you, and stays available long after go-live. Later changes (a new regulation, framework, or business unit) take hours, not months.

**Who owns the audit trail and the records?**
You do. Every action, by a person or by AI, is written to a tamper-proof record you can export at any time. If you ever leave, the data leaves with you.

**How does this help us with the audit committee?**
Because every action is captured in the same record, you walk into the committee with live dashboards, traceable decisions, and defensible conclusions, not a deck assembled the night before.

## Book a walkthrough

- Walkthrough: https://coworkcanvas.com/
- Free workflow library (100+ open-source templates): https://coworkcanvas.com/workflows/
- Compliance map (20 standards, 876 controls): https://coworkcanvas.com/map
- Support: mailto:support@coworkcanvas.com
- Site: https://coworkcanvas.com/