Which level is your engineering org at?
A read you can take to the board: 25 questions on the controls over your org's agent use, with a 30/60/90 plan and a top-three risk register.
Agent output rises and, in Faros AI's 2026 telemetry, incidents rise with it — and there is usually nothing to put in front of the board. The ladder runs 0 to 5; this scorecard places your org on 1 to 4.
- Your organization's rung on the autonomy ladder — instantly, on the next screen
- Where the controls are thin: adoption and spend, shared infrastructure, quality gates, parallelism, enablement, ROI
- A 30/60/90-day plan and the three risks to name before someone else does
What you give: your answers. No account, no card. An email only at the end, and only if you want the full playbook.
Your score is instant and free — no account needed. Add your email after you finish to see your full 30/60/90 playbook.
26 years building web apps · 2 IPOs · AI Lecturer at SWPS University · Using Cursor since 2023, Claude Code and Codex since early beta · CTO at TasteRay (built with AI)
Used by engineering teams at
6 organizational dimensions scored across 25 questions
When agent output rises without governance, review queues and incident rates rise with it. The C-Level Scorecard evaluates 6 organizational controls across 25 questions to place your engineering organization on Levels 1 to 4.
1. Adoption coverage and token spend governance
Visibility into active usage, seat allocation, and token budgets across Claude Code, Codex, and Cursor.
2. Shared agent infrastructure and security
Standardized sandboxes, MCP registries, secret redaction, and data-residency controls across repositories.
3. Automated quality gates and CI verification
Whether CI pipelines, deterministic linters, and verification harnesses scale with agent pull-request volume.
4. Parallelism and background agent readiness
How safely teams run asynchronous worktrees, cloud agents, and multi-repository migrations.
5. Organization-wide enablement and hiring
Role-specific onboarding, internal champions, and clear expectations for engineers and tech leads.
6. Board-ready ROI and delivery telemetry
Measuring cycle time, change failure rate, and verified throughput instead of raw lines of AI-generated code.
Frequently asked questions
- Who should take the C-Level Scorecard?
- CTOs, VPs of Engineering, and Heads of Platform managing 2 or more engineering teams who need an objective baseline of AI adoption, governance, and delivery risk in 8 minutes.
- How does the C-Level Scorecard differ from the Developer and Tech Lead scorecards?
- The Developer scorecard measures 1 individual workflow, the Tech Lead scorecard measures 1 squad’s shared habits, and the C-Level scorecard evaluates 6 organization-wide controls across 25 questions — including spend governance, security boundaries, and board metrics.
- What deliverables do I get at the end?
- You immediately see your organization’s level from 1 to 4, the control capping your maturity, a 30/60/90-day executive plan, and 3 priority risks mapped to the C-Level Scorecard Guide.