Clyra

Product workflow

Map one AI-assisted engineering workflow

Clyra maps where AI-assisted workflows can change code, run CI/CD, use credentials, reach declared tools, or touch production-adjacent paths. Start with one workflow, then expand the action-control graph across repos, CI/CD, credentials, tools, releases, approvals, and evidence.

Last updated: May 19, 2026

One workflow map is for teams that already allow AI-assisted workflows into PRs, CI/CD, tools, credentials, or cloud paths and need a shareable map of what can act, what authority it uses, what approval applies, and what evidence is missing.

What you get

Action-control graph

A connected map of owner, agent or workflow, repo or PR, credential, action, target, approval rule, policy decision, and evidence.

High-impact workflow register

AI-assisted paths that can write, execute, deploy, use credentials, publish packages, or affect release workflows.

Credential and authority summary

Standing versus scoped access, credential source, owner, target system, and revocation path where visible.

Approval and evidence gaps

Where approval rules, evidence retention, action attribution, or validation records are missing or unclear.

Agent Action BOM

An executive-readable artifact for engineering, platform, release, and security reviewers. See a redacted sample.

Evidence packet

A shareable record of task, actor, owner, credential source, approval decision, validation, target, outcome, and remaining gaps.

Allow / approve / block recommendations

A practical first policy boundary focused on action blast radius rather than every prompt.

When one workflow map is useful

  • Your engineering teams are using Cursor, Claude Code, Codex, GitHub Copilot, Devin, Factory, MCP tools, or internal agents.
  • You want AI coding adoption to move faster without losing review discipline or evidence.
  • You have CI/CD, release, cloud, package, or credential-bearing workflows that need a clearer action boundary.
  • You need an evidence packet for customer review, SOC 2, ISO 27001, or incident readiness.
  • You want to start with one team or workflow before a broader platform rollout.

When it is probably too early

  • AI coding tools are not yet approved or used in engineering workflows.
  • The team only wants a generic AI policy document.
  • The immediate concern is model evaluation, prompt filtering, or chatbot data leakage rather than software delivery actions.
  • No one owns platform engineering, DevEx, release engineering, secure SDLC, or security review.

How Clyra maps the workflow

Clyra is designed to start with a narrow software-delivery surface and produce shareable product artifacts: the action-control graph, Agent Action BOM, high-impact workflow register, and evidence packet.

  1. Select the path: choose one team, repo set, or workflow family close to PRs, CI/CD, credentials, tools, releases, or production-adjacent systems.
  2. Map the graph: connect actor, workflow, credential, reachable action, target, approval rule, policy decision, and evidence.
  3. Review the artifacts: use the graph, Agent Action BOM, evidence packet, high-impact workflow register, and recommended first controls to decide what stays fast and what needs approval.

What to start with

  • One team, repo set, or workflow family close to PRs, CI/CD, release, package publishing, cloud, or internal tools.
  • Known AI coding tools or agents in use, including Cursor, Claude Code, Codex, Copilot, MCP tools, CI bots, or internal agents.
  • Any sensitive delivery paths reviewers already care about: secrets, package tokens, deploy jobs, signing keys, migrations, or customer-facing tools.
  • Privacy constraints for local or private scanning and what can be included in the redacted readout.

Source privacy

Clyra can start from local or private scanning. Raw source is not retained unless explicitly agreed. The output is a redacted action-control artifact that engineering, platform, and security reviewers can share internally.

Start with a small surface.

Pick one team and selected repos or workflows where AI-assisted software delivery is already close to PRs, CI/CD, credentials, or release paths.

Map one workflow