“Could you add routing for our UK and Canada teams? We can skip the administrator training if that lets us stay within budget.”
Make every change request explainable.
FairChange does the repetitive work of checking a client request against signed scope, correspondence, and delivery records — then keeps commercial authority with the people who own the decision.
“Could you add routing for our UK and Canada teams?”
FairChange found the request outside the signed regional scope and connected it to the unstarted training deliverable.
Intake02
Evidence03
Decision04
Human gate
See the evidence before you see the answer.
Choose a real-world style request. FairChange makes the reasoning visible so a consultant can explain what happens next.
Add UK and Canada routing for the regional teams
Scope change
Regional routing is outside the signed scope and needs a governed proposal.
Evidence trail
Why this decision?
S4 excludes additional countries and regional routing. S3 is unstarted, so it can be considered in a proposal, but substitution still requires authorization and client acceptance.
One request. Three safe outcomes.
FairChange turns scattered project records into a decision a delivery team can defend.
Find the receipts
Signed scope, correspondence, estimates, and tasks are gathered before a classification is made.
Name what changed
The request becomes a defect, included revision, or scope change — with the evidence attached.
Protect the decision
Commercial work becomes a versioned proposal that waits for owner authorization and exact client acceptance.
Automation handles the search. People own the commitment.
FairChange removes the repetitive evidence hunt and drafts the next safe action. It never treats an AI classification as permission to change the contract.
Make change control part of the operating system.
FairChange is a standalone hackathon project today. Its evidence-backed decision flow can become a ScopeLedger capability for surfacing scope risk, preparing governed proposals, and keeping the final decision with accountable humans.