The SMB governance gap
Enterprise AI governance assumes a team you don’t have.
GRC platforms assume risk committees, model inventories, and dedicated analysts. In most small and mid-sized companies, AI governance lands on one person who also runs legal, HR, or operations.
Common challenge
Enterprise tools are oversized
GRC suites price in five figures, take months to implement, and solve model-risk problems most SMBs don’t have yet.
Common challenge
Doing nothing is now a risk
Customers send AI questionnaires, the EU AI Act sets literacy and transparency duties, and insurers ask how AI use is controlled.
Common challenge
DIY doesn’t hold
A policy PDF, a spreadsheet inventory, and email acknowledgments work for a quarter — then drift apart the moment anything changes.
Before a platform
Good SMB AI governance is a loop, not a framework binder.
You need four things that stay connected: rules people understand, a list of approved tools, a way to check usage, and evidence that all of it happened.
Start from a policy people read
One clear AI usage policy beats a 40-page framework. Publish it where employees work, and collect real acknowledgments.
Keep the tool list live
Approved, restricted, blocked. Every tool has a status, every status has an owner, and employees can check it themselves.
Collect evidence as you go
Acknowledgments, approvals, and enforcement events should accumulate automatically — not be reconstructed before an audit.
SMB governance loop
Rules
Tools
Proof
Who this fits
Built for companies with real obligations but no governance department.
DocsOrb fits when AI governance is a responsibility, not a job title — and when the next customer review or regulation can’t be answered with a shrug.
- 20–200 person companies where compliance is owned part-time
- EU companies facing AI Act literacy and transparency obligations
- Teams failing customer AI questionnaires with “we have a policy somewhere”