No big-bang deployment
Start with the plane your most urgent problem requires — usually Context or Governance. Each additional plane unlocks incrementally. Nothing goes live for everyone at once.
Enterprise governance · 20,000+ employee organizations
Engineers are running AI agents daily. CI/CD is merging AI-generated code at velocity. New tools are being added every quarter. And somewhere in your organization, a compliance team is starting to ask questions you cannot yet answer.
CodeLedger is the control plane that makes AI-assisted engineering auditable, governable, and explainable — without slowing engineering down. Five planes. One surface. Every stakeholder covered.
No credit card required · 8 Design Partner slots · Local-first, no source code uploaded
Enterprise governance
Five planes · Access-controlled
Exports
7
Controls
24
History
12
Fastest proof path
The lowest-friction way to evaluate CodeLedger is a single pull request: no hosted source-code upload, no broad dashboard rollout, and no enterprise commitment before your team sees the evidence.
Add the GitHub Action in observe mode. CodeLedger posts one deterministic PR comment.
Use your own repo so reviewers see file paths, risk signals, and evidence gaps in context.
Move from PR comments to the developer cockpit, full Insight dashboard, governance exports, and team memory.
Five governance planes
Enterprise rollout starts where your most urgent problem lives — spend control, risk management, compliance evidence, or onboarding efficiency. Each plane can be unlocked incrementally. Depth is access-controlled per role.
01
Context
Engineering leadership
“What did the agent actually use — and why?”
Shows exactly which files entered the agent prompt, how each was scored, and what the Context-Compiler trimmed, hoisted, retained, or skipped. Every decision is traceable.
Evidence artifacts
Active bundle · Optimization trace · Broker timeline · Context delta
02
Verification
Security / Release management
“Is this safe to ship?”
Turns every PR, CI run, and proof pack into structured release evidence. Risk signals, drift flags, and evidence gaps surface before code merges — not after it deploys.
Evidence artifacts
Validation summary · PR risk check · Proof pack · Catch-rate history
03
Governance
Compliance / Legal / Internal audit
“What can we hand the auditor?”
Maps policies, access rights, and control coverage into exportable evidence packages. Signed Truth Audit certificates record what the agent touched without exposing source code.
Evidence artifacts
Access model · Control map · Signed certificates · Audit export
04
Fleet
Platform / CTO office
“Who is doing what, across every agent and every team?”
Coordinates multi-agent work across teams with file claims, leases, and per-agent scorecards. Leadership gets a live view of AI activity, output quality, and hours recovered.
Evidence artifacts
Agent scorecards · File claims · Leases · Hours-saved proof
05
Learning
HR / Onboarding / Platform
“How do new engineers start with institutional knowledge instead of a blank slate?”
Validated patterns, accepted changes, and architectural decisions are persisted across sessions. Every new developer — and every agent — starts with the context your senior engineers built.
Evidence artifacts
Pattern promotions · Lessons · Replayable outcomes · Onboarding baseline
Rollout model
The enterprise dashboard gives every stakeholder the depth they need — and no more. Your CFO sees spend reduction proof. Your auditor sees signed certificates. Your engineers see the full optimization trace. Nothing changes under review without a traceable record.
Compare plans and access levels →Start with the plane your most urgent problem requires — usually Context or Governance. Each additional plane unlocks incrementally. Nothing goes live for everyone at once.
Each plane can be shown as an executive summary, a drilldown, or raw evidence. Your CFO sees spend reduction proof. Your auditor sees signed certificates. Your engineers see the full trace.
Readiness exports package plane status, access evidence, governance coverage, and comparison results — formatted for the people who will review them, not the engineers who generated them.
Enterprise access views are read-first review surfaces. Operators receive apply packages and checklists before configuration changes take effect. Nothing changes under your auditor without a trace.
Compliance readiness
Every audit, every procurement review, every board question about AI risk comes down to five things: what happened, who authorized it, what evidence exists, where the gaps are, and what you are doing about them. CodeLedger packages the answers — before you are asked.
Truth Audit Certificates
For security reviews, board reporting, or acquisition diligence: signed, tamper-evident certificates that record what the agent touched — without exposing source code, file paths, or symbol names.
See certificate tiers →What did the AI agent change — and what gave it permission to change it?
Context + Governance planes: trace every bundle, decision, and commit back to the policy and access evidence that authorized it.
Was any of this AI-generated code in scope for our security review?
Verification plane: every PR carries structured risk signals, drift flags, and evidence-gap markers — ready to include in your security review dossier.
We need a signed record of what the AI touched in Q3. Can you produce one?
Governance plane + Truth Audit: signed, tamper-evident certificates record what the agent read, what changed, and what was skipped — no source code in the payload.
How do we know the AI is not introducing architectural drift we will have to unwind later?
Verification plane + CI guardrails: boundary violations and architecture drift are caught at the PR level before they merge. VS Code: 1,398 violations caught in a single pass.
What happens to all the institutional knowledge when our senior engineers leave?
Learning plane: validated patterns and architectural decisions are persisted in the Team Context Ledger — available to every agent and every new hire from day one.
Design Partner Program · 8 founding slots
Design partners get founding-team attention, pricing locked at $45/seat for 12 months, early access to the OVPI signal layer, and direct input into the roadmap while product decisions still bend to real enterprise workflow data. At 2,000 engineers and $200/month in inference spend, the 28.7% token reduction alone is $1.38M annually.
5
governance planes, one control surface
$45
per seat/month, locked 12 months
0
source code lines leave your environment
45%
PR risk catch rate in public-repo tests
Talk to enterprise sales
We'll map the five planes to your engineering leads, security reviewers, compliance team, and executive stakeholders.