Executive Brief
The ControlPlane story for IBM, Box, and Cadence leadership.
The Problem
AI spend is fragmented across models, teams, and vendors — no single source of truth.
Finance can't attribute cost to business units or charge it back accurately.
Anomalous spend spikes (loops, runaway agents) are detected only in monthly invoices.
Governance & compliance teams lack evidence trails for model usage decisions.
The ControlPlane Solution
Unified telemetry
Ingest token, latency, and call data from watsonx, foundation models, and custom agents into one stream.
Cost enrichment
Map every inference call to a team, use case, and business unit via policy tags.
Anomaly detection
Real-time baselining flags spend spikes and runaway loops within seconds, not billing cycles.
Apptio chargeback
Flow enriched cost records into Apptio for showback, chargeback, and budget enforcement.
Governance evidence
Every decision is logged with model, prompt class, policy result, and approver — audit-ready.
Value Delivered
15–30%
Cost reduction
via routing + anomaly early warning
100%
Audit readiness
every call traced & retained
< 60s
Anomaly MTTR
vs. weeks on monthly invoices
Unit-level
Chargeback accuracy
per query, per team, per model
Who This Is For
CIO / CTO
See total AI spend and risk posture in one place.
Finance / FinOps
Accurate chargeback and budget enforcement.
Governance & Risk
Audit-ready evidence for every AI decision.
Delivery Timeline
Phase 1 · Foundation
Weeks 1–4- Telemetry pipeline live
- watsonx integration
- Baseline cost dashboard
Phase 2 · Govern
Weeks 5–8- Policy engine + anomaly rules
- Apptio chargeback mapping
- Governance evidence store
Phase 3 · Optimize
Weeks 9–12- Model routing optimization
- Budget enforcement gates
- Executive reporting cadence