Approve the change. Verify the code. Prove what happened.
Connect your organizations, teams, applications, and repositories. Every change request carries a deterministic approval chain, and every approval is snapshotted against the exact commit, branch, and artifacts an approver actually saw, so nothing stays approved after it quietly changes underneath.
An approval chain that means it, because it checks its own work
Most change tools treat an approval as a checkbox: ticked once, trusted forever. PrashFlow Change Management treats it as a claim that has to keep being true, re-checking it automatically whenever the thing it approved actually changes.
Configurable approval hierarchies
Sequential, parallel, N-of-M, or fully conditional chains, built by your Platform Admin to match how your organization actually reviews risk, not a fixed workflow you have to bend around.
Automatic approval revocation
Change the commit, branch, environment, or a required artifact after approval, and the affected approvals are revoked deterministically, never left in place by accident, never decided by AI judgment.
AI review, kept strictly advisory
A configured AI provider can read the change, its artifacts, and its repository evidence, then surface a risk score and findings. It never decides whether an approval is valid, and without a real provider configured, nothing is shown or fabricated.
Deterministic conflict detection
Overlapping deployment windows on the same application, environment, or infrastructure are surfaced before they collide, with a clear, logged override path when one is truly needed.
Source and deployment verification
Before anything ships, the platform confirms the approved repository, branch, pull request, commit, and tag are exactly what's about to deploy, or it blocks the change and states the exact reason.
Own your infrastructure, own your data
Self-hosted on infrastructure you control, the same architecture as every other PrashFlow product. Secrets, AI keys, and repository access tokens stay encrypted at rest.
Every team ships changes that were approved against something else
None of these are exotic edge cases. They happen on every team past a handful of production changes a week.
An approval that quietly went stale
The commit gets changed after sign-off, the environment shifts, a critical script gets swapped, and the old approval just sits there looking valid, because nothing ever went back and checked.
No one can prove what was actually approved
An auditor asks for evidence of what an approver actually saw, and the honest answer is a screenshot, a memory, or nothing at all, not a record the platform captured at the moment of approval.
An AI risk score treated as gospel
A tool bolts on an AI opinion and lets it quietly decide whether a change is safe to ship, with no separation between what the model guessed and what the platform actually verified.
Submit, review, approve, verify
Every change goes through the same governed lifecycle, configurable to match how your organization actually works.
Submit
A requester maps the change to its team, application, and exact repository, branch, commit, and artifacts.
Review
Conflict detection and, if configured, AI review run automatically, surfacing risk and evidence before anyone is asked to decide.
Approve
The configured chain runs, sequential, parallel, or conditional, and every approval snapshots exactly what it was granted against.
Verify
Before deployment, the platform confirms the approved source still matches what's shipping, or blocks it and says exactly why.
What's actually built today
No roadmap items, no "coming soon." This is what runs in the app right now.
Full evidence chain
Organization, team, application, repository, branch, pull request, commit, and tag, connected end to end on every change request, with a visual workflow designer for how each stage flows into the next.
Immutable approval snapshots
Every approval records the exact change version, repository state, risk level, and artifact versions the approver saw, tied to their identity and a timestamp.
SLA-driven escalation
A change stuck waiting on a decision escalates automatically, to a manager, then a change manager, then the CAB, on a schedule your organization sets, and stops once implementation actually starts.
Required artifact tracking
Implementation plans, rollback scripts, and test evidence, tracked per template with a live readiness checklist. Not ready for approval means exactly that, with the missing item named.
AI Review
Reads the change, its artifacts, and its repository evidence, then produces a risk score, severity, confidence, and findings, clearly separated from anything the platform itself verified. Only runs against a real, configured provider, never a simulated result.
Final approval integrity gate
Re-checks every condition, valid approvals, matching source, passed policies, no blocking conflicts, right before implementation, rather than trusting whatever state was recorded earlier.
Granular role-based access
Requester, Team Lead, Approver, Security Approver, Change Manager, CAB Member, Application Owner, and more, each scoped to exactly the actions their role requires. A requester can never approve their own change.
Complete, immutable audit trail
Every decision, revocation, escalation, and verification recorded with who, what, when, and why, a permanent record you can hand to any auditor with confidence.
The AI reviews the change. Deterministic rules still decide.
Your configured AI provider reads the change's fields, artifacts, and repository evidence, then reports a risk score, findings, and recommendations in a fixed, structured format. No provider configured, and the review is honestly absent, never a fabricated score standing in for one.
- Findings are always labeled AI-generated, separated from anything system-verified
- Approval validity is decided exclusively by deterministic platform rules, never by the AI's own call
- Configurable per template: optional, or mandatory for production, high-risk, or database changes
Change what was approved, and the approval knows it
Repository, branch, commit, tag, environment, risk, or a required artifact changes after sign-off, and the platform detects it, compares against the approval snapshot, and revokes exactly what's affected, deterministically, every time.
- Revocation scope is configurable: every stage, or only the ones a change actually affects
- Affected approvers are notified automatically, and re-approval is required before the change can proceed
- Every revocation is a permanent, timestamped entry on the change's audit trail
Common questions
Govern the change. Prove what happened.
Self-hosted, deterministic, and ready to govern your next production change today.