The Decision Control Plane
for Automated Operations
Make automated decisions explainable, reviewable, and traceable - before things break.
Mindplane sits between intent and execution, and creates decision receipts: intent, context, validators, and outcome. That stops "who changed what?" arguments and shrinks incident ambiguity - an auditable decision trail across tools and environments.
What Mindplane Is
- What: Mindplane is the decision control plane: it sits between intent and execution and creates decision receipts for every automated decision.
- Who: Built for SRE/Platform, Ops, and AI/ML teams running automation or agents in production.
- Problem: Teams waste time reconstructing what happened when automation or AI runs go wrong.
- Outcome: Deterministic, queryable decision receipts (intent, context, validators, outcome) - queryable by Run ID.
Where Mindplane Fits
Where it sits
- →Runs between intent and execution
- →Captures decisions at the source
- →One receipt per decision
- ✗Not a policy engine
- ✗Not an after-the-fact log aggregator
Why it reduces problems
- ✓Fewer places to look when things fail
- ✓Fewer interpretations of "what happened"
- ✓No hidden decision branches
- ✓No stitching logs/metrics/traces
- ✓Deterministic, queryable audit trail
Mindplane is the control-plane layer across your tools - where automated decisions get a receipt before they run.
Think of it as the single place where every automated decision is recorded before it runs.
Product Status
Current stage: Early Access (V1)
V1 focus: visibility + audit (does not block actions)
Available now
- Deterministic decision receipts
- Hash-chained trust ledger
- Inspection via API/Console
- GitHub + Slack integrations
Next (V2)
- Enforceable approvals
- Action blocking
- Dispute workflows
V2 builds on V1 without changing the receipt model.
Product Preview
What you'll see in the Mindplane console:
Request early access to see the full console
How it works
Five deterministic steps from intent to audit trail.
Intent Captured
The request is received with actor, intent, and risk signals.
Context Assembled
Correlation ID, tenant, environment, and plan are attached.
Validators Run
Policy, safety, and branch validators return pass / warn / fail / halt.
Arbiter Decides
Returns allow or deny with reason code based on validator results.
Receipt Written
The run is written to the Trust Ledger. Queryable by Run ID.
Architecture
Three layers from raw signals to immutable audit.
Signals
Raw events from webhooks, APIs, and monitoring. Tagged with correlation IDs.
Runs
Context assembly, validator chain, Arbiter decision. The decision control path.
Trust Ledger
Append-only, hash-chained. Immutable and tamper-evident.
Integrations
Mindplane explains why an action happened - even when it started in GitHub, Slack, or your monitoring stack.
Available in V1
Planned (V2+)
Security & Trust
Tamper-Evident Hash Chain
SHA-256 links each entry. Modification breaks the chain.
Append-Only Ledger
Entries cannot be deleted. Denied runs are also recorded.
Multi-Tenant Isolation
Enforced at API boundaries, not application logic.
Audit-Ready Records
Every decision is queryable and explainable.
The Team
Based in Belfast & Remote
Early Access - V1
We're onboarding SRE, platform, and AI/ML teams that run automation or agents in production.
V1 focuses on visibility and audit. Enforcement arrives in V2+.
Contact
