Quantify the ROI of AI, express agentic risk in currency, and control agentic AI spend — one governed portfolio view for the analytics and data office, the CFO, and the CISO.
The three questions every enterprise AI program must answer, and rarely can
Value Quantification
Prove which AI initiatives actually pay back. Every agent and copilot gets a baseline, a measured outcome, a confidence score, and a place in the portfolio ranking.
Exposure in Currency
Translate agentic risk into annualized loss expectancy so security and finance argue from the same spreadsheet instead of two different vocabularies.
Run-Rate Governance
Meter every model call at the gateway, attribute it to a team, enforce budgets inline, and actively reduce run-rate through proprietary model and prompt optimization — not generic advice, and before the overrun, not after the invoice.
Where AgentQuant replaces spreadsheets, guesswork, and surprise invoices
Author, review, approve, and re-measure AI business cases in one governed workflow — with owners, assumptions, and evidence attached to every claim.
Inline gateways meter every agent call — model, tokens, latency, tool use, and cost — with no application code changes and no SDK to adopt.
Produce numbers finance can defend: reproducible calculations, documented assumptions, and drill-down from the board metric to the individual model call.
Attribute every dollar of AI value and AI spend to the team, cost center, or business unit that generated it — ending the shared-bill argument.
Every figure reproducible, evidence-backed, and traceable to source telemetry
Portfolio ROI
Annual Value Realized
Agentic AI Run-Rate
Savings Run-Rate
Cost per Outcome
Tokens Avoided
Risk-Adjusted ROI
Annualized Loss Expectancy
Budget Variance
Confidence Score
What changes in the first quarter after AgentQuant is metering your agents
Proprietary technology optimizes prompts and selects the right model for every task — cutting inference spend without degrading agent output quality.
Every agent, model, and workload metered and attributed — including the AI spend nobody had inventoried.
Quantified cases replace opinion-driven AI roadmaps, so scale-or-kill decisions land in days rather than quarters.
AI investment decisions now attract the same scrutiny as any other capital allocation. AgentQuant supplies the evidence trail regulators, auditors, and boards expect.
EU AI Act, NIST AI RMF, SOC 2, GDPR
Inline guardrails per team, agent, and model
Immutable calculation history for every metric
Quarterly re-measurement of every business case
Join enterprises measuring AI value, risk, and cost in one governed portfolio with AgentQuant.