Change Intelligence Platform
From a quiet edit to a decision on record
SynkBase connects to the systems where your business definitions are written and used. It detects when they move apart, traces what depends on them, prices the rework and puts the change through approval.
How a change moves through SynkBase
- Step 1DetectA connected copy moves away from the approved definition.
- Step 2TraceEverything downstream is listed with its path.
- Step 3PriceRework cost from points, rates and status.
- Step 4GovernApproved by the right people, recorded for good.
- Step 5ServeThe approved version goes to people and assistants.
Three things, given equal weight
Governance
Approved definitions with owners, a lifecycle, an approval workflow and an append-only audit trail.
Context
The approved version, with its state, delivered to the people and AI assistants who use it.
Cost
The rework a definition change causes, calculated from delivery data and traceable to each ticket.
The five capabilities
Drift detection
A formula edited in one Jira ticket. A threshold updated in one Confluence page. SynkBase notices, and tells the people who depend on it before the next report runs.
Impact graph
Terms depend on other terms. Reports depend on terms. Tickets implement them. SynkBase keeps that structure as a graph and walks it the moment something changes.
Rework cost
When a definition changes after work has been built on it, SynkBase calculates what that rework costs from your own delivery data. Every number shows its inputs.
Governance & audit trail
SynkBase gives every governed definition an owner, a lifecycle and an approval path, and records each step in an audit trail that cannot be edited after the fact.
Context for AI assistants
Assistants answer questions about revenue, margin and risk using whatever text they can find. SynkBase gives them the governed version, and tells them how current it is.