CerebroIQ ValueProof · AI investment decisions
Which AI projects deserve more money?
CerebroIQ helps executives stop guessing. ValueProof compares one AI workflow with how work is done today, counts its complete cost and quality impact, and shows whether to Scale, Fix, Redesign, Stop, or gather better evidence.
Built forAI LeadersBusiness OwnersFinanceTechnology
C CerebroIQ
Outcome evidence verified
PortfolioContractsBaselineEconomicsDecisions
Pilot decision briefSupport resolution copilot
Decision: SCALE—conditionallyExpand to 250 agents · remeasure after 30 days
Evidence linkedThe AI investment decision gap
AI pilots are easy to start.
Knowing what deserves scale is not.
Most pilot reviews mix activity metrics, optimistic forecasts, and incomplete costs. That leaves executives unable to compare investments or defend a production decision.
No agreed baseline
Teams celebrate model output without proving the workflow improved against the way work is performed today.
Value is overstated
Hours “saved” are treated as cash while review, integration, rework, runtime, and operating costs are omitted.
Scale decisions stall
Business, finance, technology, and risk see different evidence and cannot agree whether to scale, fix, redesign, or stop.
The Pilot-to-P&L operating system
Turn every AI project into a comparable funding decision.
ValueProof establishes the outcome contract, measures actual work, classifies the benefit, calculates complete economics, grades the evidence, and produces an executive decision brief.
Outcome contract
Agree on the owner, business metric, baseline, cohort, quality gates, total-cost model, timebox, and stop rule before work begins.
Measured and classified value
Compare treatment with a control or approved baseline and separate capacity, avoided cost, cash savings, revenue, and loss avoidance.
Funding decision
Combine economics, quality, evidence strength, adoption, and readiness into Scale, Fix, Redesign, Stop, or Insufficient Evidence.
The CerebroIQ platform
From AI business case
to defensible investment decision.
A reusable value model gives every AI initiative the same evidence standard while preserving workflow-specific outcomes.
01 / Quality-adjusted economics
Make the value calculation inspectable
Show exactly how baseline improvement, eligible volume, benefit class, total cost, rework, quality, and evidence strength produce the recommendation.
- No black-box ROI score
- No unearned savings claims
- Every number linked to its evidence and owner
Gross measured value$40.4K
Runtime + operations−$5.5K
Build + rework−$8.2K
Net pilot value$26.7K
Know when the data is too weak
Grade baseline provenance, cohort size, cost completeness, and quality coverage. ValueProof refuses to manufacture certainty when evidence is insufficient.
Verify whether promised value appeared
Keep created capacity separate from finance-recognized value and track approved forecasts against production results over time.
Deploy where the evidence lives
Connect to existing AI and business systems.
CerebroIQ does not replace the model, workflow platform, data warehouse, or finance system. It creates the measurement and decision layer across them and can run in your cloud, private VPC, or on-prem Kubernetes environment.
✓ Vendor- and model-independent✓ Kubernetes-ready containers✓ Customer-controlled evidence✓ REST measurement API✓ Existing controls retained✓ Jira and ServiceNow adapters included
Decision evidenceSCALE—CONDITIONALLY
baseline: approved
treatment: 3,000 cases
quality_gates: passed
net_value: $26,700
finance_recognized: $8,200
evidence: STRONG · 92
decision: SCALE_CONDITIONALLYInputs, assumptions, and evidence linked
The 14-day ValueProof Assessment
Start with data you already have.
One clear investment question: “We tested an AI support copilot. Should we fund its production rollout?” Import baseline, pilot, cost, and quality data without granting production access.
Leave with a decision: evidence strength, benefit classification, full-cost economics, missing-evidence report, production gaps, and a Scale/Fix/Redesign/Stop brief.
Assessment acceptance criterionA defensible decision—not another dashboardExisting data → evidence grade → classified value → complete cost → investment decisionAssess your first workflow →
Frequently asked questions
CerebroIQ ValueProof, explained.
Is CerebroIQ another ROI calculator?+
No. A calculator estimates value from assumptions. CerebroIQ defines the measurement contract, captures pilot and baseline evidence, includes total operating cost and quality, exposes production gaps, and keeps the decision traceable to actual workflow results.
Does CerebroIQ claim that time saved equals cash saved?+
No. Capacity created is reported separately from booked savings, avoided hiring, revenue, or margin. Finance decides which value is realizable and the evidence preserves that distinction.
What if the pilot data cannot support a decision?+
ValueProof returns Insufficient Evidence and identifies exactly what is missing. It does not force an ROI result from an unreliable baseline, incomplete costs, a small sample, or absent quality measurements.
Do we need to replace our existing AI stack?+
No. CerebroIQ connects to existing models, applications, data, observability, ticketing, and finance systems. Its existing authority, evidence, gateway, and on-prem capabilities remain available as production safeguards.
What makes a good first assessment?+
An existing AI pilot with a repeated workflow, credible baseline, accountable business owner, measurable outcome, cost data, and observable quality. Customer-support copilots are an especially clear starting point.
Can CerebroIQ run on-premises?+
Yes. The deployment package supports Docker Compose and Kubernetes with customer-controlled data, model endpoints, credentials, measurements, and evidence.
14-day ValueProof Assessment
Bring one AI project.
Know whether it deserves more money.
Start with existing baseline, pilot, cost, and quality data. No production access or platform replacement is required for the first assessment.