Change Intelligence Platform
Know when a business definition changes, what it breaks, and what it costs.
SynkBase watches the definitions your reports, teams and AI assistants depend on. When one changes in one place and not the others, you see everything it affects and the rework cost, calculated from your own delivery data.
In developmentBuilt with a small group of design partners
Works across the tools where definitions live
Planned connectors- JiraTickets & specs
- ConfluenceWiki pages
- SharePointDocuments
- WordDocuments
- Power BIDashboards
- TableauDashboards
- SAPERP
- DatabasesSQL tables & views
- Notion & ObsidianDocs & notes
- Trello & ClickUpTask boards
- GitHub & GitLabCode repositories
- AI assistantsReceive approved definitions
The problem
Four systems, four definitions of the same customer
Business definitions are copied into tickets, wikis, dashboards and now AI assistants. Each copy drifts on its own schedule. The difference shows up as two numbers that should match and don't, usually in front of someone senior.
What definition drift isactive_customer
What changes
The same edit, two very different months
Without SynkBase
- A definition is edited in one ticket. The wiki, the dashboard and the AI assistant keep using the old one.
- The mismatch surfaces at month end, when two numbers that should match don't.
- Nobody can say what else depended on the change.
- Rework is logged as "unplanned work" with no figure attached.
- The approval history is an email thread, if there is one.
With SynkBase
- The change is compared with the approved version the moment it happens.
- Owners of every dependent term, report and ticket hear about it the same day.
- Everything downstream is listed, with the path to each item.
- Rework is priced from story points, day rates and ticket status.
- The decision is approved and recorded in an append-only trail.
How it fits
One governed layer between where definitions are written and where they are used
Where definitions live
SynkBase
Who acts on them
How it works
From a quiet edit to a decision on record
- Step 1DetectA connected system moves away from the approved definition.
- Step 2TraceEvery term, report and ticket that depends on it is listed.
- Step 3PriceRework cost is calculated from your tracker data.
- Step 4GovernThe change goes to the right approvers and is recorded.
- Step 5ServePeople and AI assistants get the approved version.
Rework cost
A cost figure you can check line by line
SynkBase calculates the rework cost of a definition change from story points, role day rates and ticket status in your own tracker. No language model is involved, and every total opens up to the tickets behind it.
See the calculation- InputsStory points, ticket status and the role day rates you set
- MethodPlain arithmetic. The same inputs always give the same result
- GapsWork with no estimate is listed as unpriced
- LimitsA capped search shows a lower bound, for example ≥ 14
- EvidenceExports with the approval record behind it
Who it's for
The same change hurts four people differently
From the blog
Notes on definitions, drift and cost
What breaks when a business definition changes
A definition is rarely stored in one place. When one copy moves and the others don't, the damage shows up far from the edit, and late.
How we calculate the rework cost of a definition change
Story points, role day rates and ticket status. Why the figure is plain arithmetic, how gaps are handled, and why no AI model is involved.
What does SynkBase do?
It keeps an approved version of each business definition, detects when a connected system moves away from it, traces every term, report, document and work item that depends on it, and calculates the rework cost of the change from your own delivery data. Changes then go through approval and are recorded in an append-only audit trail.
Is the rework cost estimated by AI?
No. It is plain arithmetic: story points, converted to days, multiplied by the role day rate and a multiplier for how far each ticket had progressed. Your organisation sets the rates and multipliers. The same inputs always give the same result, and every total opens up to the tickets behind it.
Which systems does it connect to?
Planned connectors cover Jira and Confluence, Word and SharePoint, Power BI and Tableau, SAP and relational databases, and collaboration tools such as Notion. Design partners influence which come first.
Can I use it today?
Not yet as a general product. We are building SynkBase with a small number of design partners, who get early access on their own definitions.
How does it work with AI assistants?
Assistants and agents can ask SynkBase for a term and receive the approved definition with its version and approval state, instead of whatever text they find first. They see only what the person they act for is allowed to see.
Who is it for?
Organisations where a changed definition has an audit, regulatory or board-level consequence. Inside them: finance, engineering, audit and compliance, and quality leaders, who usually feel the same change in four different ways.