2026-01-12 · Authensor

Rolling Out SafeClaw Across a Development Team

Overview

This guide covers the process of deploying SafeClaw across a development team, from a single-developer pilot to full team adoption. The rollout follows a phased approach: pilot with one developer, expand to a working group, standardize policies, and deploy team-wide. Each phase includes specific actions, decision points, and success criteria.

The phased approach minimizes disruption. Developers continue working with their existing AI agent tools (Claude Code, Cursor, LangChain, OpenAI Agents SDK) throughout the rollout. SafeClaw integrates at the action-evaluation layer without requiring changes to agent configurations or workflows.

Step-by-Step Process

Phase 1: Single-Developer Pilot (Days 1-3)

Objective: Validate SafeClaw in a real development workflow with minimal risk.

  1. Select one developer who uses AI agents daily and is willing to provide feedback.
  2. Install SafeClaw on the pilot developer's machine: npx @authensor/safeclaw. The setup wizard in the browser dashboard guides initial configuration. No credit card is required — the free tier includes 7-day renewable keys.
  3. Run in simulation mode for the first full working day. Simulation mode evaluates every agent action against the policy and logs decisions without enforcing them.
  4. At the end of Day 1, review the simulation log with the pilot developer. Identify false denials (legitimate actions the policy would block) and adjust rules.
  5. Enable enforcement mode on Day 2. Monitor for workflow disruptions.
  6. At the end of Day 3, document: (a) policy adjustments made, (b) false denial rate, (c) any agent workflow changes needed, and (d) developer feedback on daily experience.

Phase 2: Working Group Expansion (Days 4-10)

Objective: Validate the policy across different developer workflows and agent frameworks.

  1. Expand to 3-5 developers using different AI agents and working on different projects.
  2. Share the pilot developer's policy as the starting point. Each working group member runs in simulation mode for one day before enforcement.
  3. Collect feedback on policy conflicts. Different projects may need different rules — for example, a frontend developer may need network access to CDN endpoints that a backend developer does not.
  4. Decide on policy architecture: single shared policy, per-team policies, or per-project policies. The typical pattern is a shared base policy with per-project overrides.
  5. Document all policy adjustments and the rationale for each change.

Phase 3: Policy Standardization (Days 11-14)

Objective: Create the standard policy templates that the full team will use.

  1. Merge all feedback from the working group into a standardized policy set.
  2. Create a base policy that applies to all developers. This policy should include:
- DENY rules for universally dangerous actions (credential access, destructive commands, production deployments) - ALLOW rules for universally safe actions (reading source code, running tests, accessing documentation)
  1. Create project-specific or role-specific policy extensions for actions that vary by context.
  2. Validate the standardized policies in simulation mode with the working group for 24 hours.
  3. Document the policies in version control alongside the project code.

Phase 4: Full Team Deployment (Days 15-21)

Objective: Deploy SafeClaw to every developer on the team.

  1. Schedule a 30-minute team briefing covering: what SafeClaw does, why it is being adopted, what changes developers will notice, and how to report issues.
  2. Distribute installation instructions. Each developer runs npx @authensor/safeclaw and applies the standardized policy.
  3. All new developers start in simulation mode for their first day.
  4. Enable enforcement after simulation validation.
  5. Designate a policy maintainer — one team member responsible for reviewing audit logs, processing policy change requests, and updating rules.

Phase 5: Ongoing Operations

  1. Review the audit trail weekly. The browser dashboard provides visibility into all agent actions across the team.
  2. Process policy change requests through a lightweight review process (e.g., a PR to the policy file in version control).
  3. Run simulation mode before deploying any policy change to enforcement.
  4. Onboard new team members with the standard installation and a one-day simulation period.

Checklist

Common Mistakes

1. Deploying to the full team on Day 1. Without a pilot phase, policy issues affect every developer simultaneously. This creates widespread frustration and resistance to adoption. The pilot-to-working-group-to-team progression catches policy errors early.

2. Not designating a policy maintainer. Without a responsible owner, policies become stale. New agent capabilities and project changes create gaps that nobody addresses. Assign one team member to review logs and update policies weekly.

3. Writing a single monolithic policy for all projects. Different projects have different risk profiles. A base-plus-overrides architecture allows shared security fundamentals with project-specific flexibility. A data pipeline project needs different network rules than a frontend application.

4. Skipping simulation mode for new team members. When a new developer joins and hits enforcement immediately, any false denials feel like the tool is broken. One day of simulation mode builds trust and catches policy gaps specific to that developer's workflow.

5. Not version-controlling policies. Policy files should be committed to the repository alongside code. This provides change history, enables code review for policy changes, and allows rollback if a policy change causes problems.

Success Criteria

Team rollout is successful when:

Cross-References

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