The governance layer that lets legal say yes.

CONTROL 01

APPROVAL GATES

High-impact actions pause for a named human approver: sends, publishes, merges, anything customer-facing. No prompt can bypass the gate.

CONTROL 02

NON-DESTRUCTIVE SCOPES

Agents create, update, and stage; they do not delete or overwrite unattended. Adobe's hosted Marketo MCP server applies the same pattern: write-capable but non-destructive.

CONTROL 03

ALLOWLISTS

Agents operate only against enumerated systems and instances. The Marketo MCP's Munchkin-ID allowlist is the model: not on the list, not touchable.

Data handling

Access scoped to approved systems and roles, data boundaries per use case, retention rules agreed with your security team up front.

Model risk controls

Evaluation suites before rollout, monitored behavior in production, version pinning with tested upgrades, and defined fallbacks when confidence is low.

Brand safety

Tone, claims, and terminology encoded as enforceable checks, the discipline that keeps a copilot's draft inside regulatory language in pharma and financial services.

It is the enforced control set that makes an autonomous system acceptable to legal, IT, and compliance: who approves high-impact actions, what the agent may write, which systems it may touch, and where the evidence lives. NextRow, an Anthropic Claude Certified Partner, designs that model in the Assess stage, before any agent is built.

Three defaults on every write-capable agent: approval gates that pause high-impact actions for a named human, non-destructive scopes so agents create and update but never delete unattended, and explicit allowlists. The Munchkin-ID allowlist on Adobe's hosted Marketo MCP server is the reference pattern. All activity lands in an audit trail.

Access is scoped to approved systems and roles, mirroring existing entitlements rather than inventing new ones. Data boundaries and retention rules are documented per use case and agreed with the client security team during the assessment, and every data-touching action is logged. NextRow's own posture is published on its Security and Trust page.

The disciplines that treat the model like any other production dependency: evaluation suites before rollout, monitored behavior in production, version pinning with tested upgrades, and defined fallbacks when confidence is low. NextRow includes them in every production build under the FrontRow methodology's Production stage.

Yes, and that is the strongest business case for it. QuipMLR, NextRow's platform-agnostic agentic product for Medical-Legal-Regulatory review, saves 70% of review cost and time while producing a more complete audit record than the manual process. The same pattern extends to claims review and regulated-content QA.

Because the procurement questions are never about the demo. They are about what happens when the agent is wrong, who approved the action, and where the log lives. NextRow answers them in writing during the Claude Readiness Assessment (from $15,000, 4–6 weeks), which delivers the governance model before any build begins.