Adoption intelligence shows where AI is taking hold across teams and workflows. Cost intelligence shows where spend concentrates and which ownership paths are supported by evidence. Both remain bounded by attribution coverage and deployment evidence.
◇Initial projection. An initial decision surface derived from the attribution graph.◇Validation pending. Customer evidence is still required to validate actionability.
How do adoption and cost intelligence support different buyers without creating separate versions of ownership?
Mechanism
How the mechanism works
One attributed usage record can be aggregated for an AI program decision or inspected for an owner and budget decision. The buyer, aggregation level, threshold, and action change. The underlying ownership evidence does not.
▧Illustrative synthetic example
Decision record
Shared attributed record
◇Mechanism. Describes how the product is designed to work.
Workload
support-routing-workload
Invocation
invocation.synthetic.0241
Service
support-router
Project or code owner
Customer Operations Platform
Identity
svc-support-router
Organization
Customer Experience Systems
Budget responsibility
CX Automation
Operational confidence
Operational confidence
0.91
Output state
◇ Strongly inferred
At or above the 0.80 review threshold
Explanation
Service, deployment, identity, organization, and billing evidence support one leading path.
Time basis
Event-time, synthetic evaluation window
Source health
All enabled synthetic sources healthy
Action eligibility
Decision support
Evidence sources
Provider billing record
Deployment metadata
Service identity
Organization hierarchy
Alternative candidates
Support Experience team, retained as an alternative
Platform Infrastructure, runtime owner only
Truth domains
○Observed. Directly present in a source record.△Inferred. Derived from eligible evidence with uncertainty preserved.◷Event-time. The state that applied when the governed event occurred.
▧Illustrative synthetic example
01◇Initial projection. An initial decision surface derived from the attribution graph.◇Validation pending. Customer evidence is still required to validate actionability.
Adoption intelligence
Question: Where is AI taking hold in real work?
Team and function
Customer Experience Systems
Workflow
Support routing
Governed usage versus licensed access
Compared at program and cohort level
Tooling trajectory
Directional view over the governed evaluation window
Adoption depth
Workflow embedded, occasional, or unavailable
Coverage
Capturable governed usage denominator retained
Source provenance
Attributed record and enabled source set
Cohort granularity
Minimum cohort rules apply
Unknown or unavailable views
Visible rather than rendered as zero
Adoption intelligence is cohort and program intelligence derived from governed attributed usage. It is not employee-performance analytics.
▧Illustrative synthetic example
02◇Initial projection. An initial decision surface derived from the attribution graph.
Cost intelligence
Question: Where does spend concentrate, and who is accountable for it?
Workload
support-routing-workload
Service
support-router
Owner
Customer Operations Platform
Budget
CX Automation
Estimated versus reconciled cost
Truth domain retained per amount
Operational confidence
0.91 in the synthetic record
Unresolved spend
Kept separate from supported ownership
Review eligibility
Decision support; finance policy remains separate
Finance eligibility remains separate from output state and operational confidence.
Annotated visual
Inspect the path and its unresolved states
Two decision surfaces read one attributed usage record
Governed attributed usage evidence, owner path, confidence, coverage, time basis
AdoptionProgram and cohort viewenablement and workflow planningCostOwner and budget viewspend concentration and review
Both branches stop at the same coverage, source-health, and unresolved-state boundary.
In summary: one governed attributed usage record branches into an adoption intelligence view for program and cohort decisions and a cost intelligence view for owner and budget decisions. Both branches retain the same attribution coverage, source health, time basis, and unresolved states.
Concrete example
Apply the mechanism to one synthetic workload
▧Illustrative synthetic example
Support-routing workflow, read two ways
AI program leadership
Inspect whether governed workflow usage exists across the eligible cohort, where licensed access has not become captured usage, and which source gaps limit the view.
Decision: define an enablement hypothesis for validation.
FinOps
Inspect the supported owner and budget path, estimated versus reconciled cost, unresolved spend, and finance-review eligibility.
Decision: route supported and unresolved records into separate review paths.
Evidence and implementation boundary
What the current claim supports
The architecture supports both projections. Customer evidence is required to show that each produces useful, actionable decisions. Adoption actionability remains design-partner validation pending.
Validation begins with one shared attributed record and separate decision criteria. Adoption validation must show that program teams can take useful action without individual scoring. Cost validation must show that owner and budget evidence can support a bounded finance or optimization review. Design-partner deployments define this evidence boundary before either decision surface is enabled.
Known limitations
Unknown and unresolved states remain valid outcomes
01Adoption intelligence is cohort and program intelligence, not employee-performance analytics.
02Licensed access does not prove governed usage, and missing capture does not prove non-adoption.
03A supported owner path does not automatically make spend eligible for chargeback or policy action.
Decision enabled
Choose the buyer, operating question, evidence threshold, and validation measure for the same attributed usage record.
The validation plan should name the buyer, decision, minimum coverage, source health, time basis, output states allowed, and evidence that would count as useful action.