Budget agentic AI as capacity. Forecast consumption before it lands. Defend one number to the board.
Finance teams price agent fleets with conventions built for salaried labor or seat-based software. Agentic AI behaves like neither, so its cost moves with business activity in real money and real time. ACTAVA meters agent runtime in Orchestration Units at a platform-anchored rate, attributes cost to outcomes, and gives the CFO, CTO, and CISO one envelope they co-own.
Two budget doors, and both mislead
Every enterprise budgeting for agentic AI walks through one of two doors. Behind the first sits FTE substitution, where one agent equals N humans and the platform pays for itself in year one. Behind the second sits the SaaS line item, another seat-based subscription that lands with the software committee.
Salaried labor is a fixed cost with capped variance. SaaS charges per seat. Metered cognition is the first knowledge work in corporate history whose cost moves with business activity, in real money and in real time. Budgeting a variable cost with the conventions of a fixed one fails. Your agent fleet sits closer to your building's HVAC than to your employees, and nobody computes the ROI of air conditioning. It stopped being a discretionary investment and became infrastructure that gets out of the way.
- 96%IDC
- of enterprises exceed their initial AI cost projections. Only 44% hold financial guardrails.
- $3.70 to $10.30Microsoft
- Return per $1 invested. Organizations, not models, explain the spread between the two ends.
- Up to 40%Gartner
- ROI gain by 2030 from embedding FinOps discipline into agent design.
ACTAVA's TCAC replaces total cost of ownership and per-FTE comparison
ACTAVA's Total Cost of Agent Capacity (TCAC) provides the reporting the CFO, CTO, and CISO need to co-own the agent fleet. Review it monthly. Report it to the board quarterly.
- Layer 01Platform fixed OpEx
Your runtime, build environment, safety, and evaluation engines. This is the subscription to the grid, and it is the one layer where the SaaS budgeting model holds.
- Layer 02Consumption variable OpEx
OUs consumed across builds, runs, evaluations, and human-in-the-loop routing. You win the return on AI here. A knowledge task that costs $15 to $25 in labor converts to roughly $1 to $2 in metered cognition, a spread of at least 10x.
- Layer 03Governance overhead
Human review, evaluation cycles, and compliance testing. Plan on 5% to 15% of consumption. You cannot opt out of it, so budget the line instead of finding it later.
Three owners, one envelope
CFOGovern the envelope
- Build FinOps for agents in four steps. Visibility, then showback, then unit economics, then chargeback and enforcement.
- Forecast on three clocks. Weekly to catch anomalies, quarterly to plan, annually to set the envelope.
- Defend the envelope, not per-agent ROI.
- Move enforcement to the pre-execution boundary with per-agent OU caps, throttles, depth limits, and circuit breakers. Token alerts are not budget enforcement, and governance that fires after the spend is a dashboard.
CTOMake the envelope deliver
- Run an agent harness across the fleet. Assign work by cost, governance requirement, and complexity, flex capacity into demand bursts, and keep one policy plane with one audit trail.
- Point frontier intelligence only at the steps that earn it. High-volume intake rides fast, low-cost models. Keep the option to switch providers.
- Aim human-in-the-loop at the decisions that need it. A blanket approval queue burns governance overhead on work that never needed a human.
- Close the loop. Predict the outcome, capture the feedback, feed it back into the agent.
CISOMake the envelope safe
- Register every agent as a first-class identity with just-in-time, least-privilege credentials and a named human owner.
- Enforce before execution. Validate identity, clearance, and project scope before the agent acts, and fail closed.
- Red-team continuously. The new attack surface is language, so test it the way you test a network, on a standing schedule.
- Make compliance evidence a runtime byproduct so audits become a query rather than a project.
The doctrine holds without us. It moves faster with the machinery already built.
ACTAVA KORA meters agent runtime in Orchestration Units at a platform-anchored rate, runs the approval lifecycle and human-in-the-loop gates, keeps a versioned audit log, and attributes ROI agent by agent. Budget & Forecast sits alongside the other pillars of AI Transformation, so the envelope you set connects to the controls that hold it.
- PillarMeasure & Control
Policy-based model routing, per-token transparency, and real-time dashboards that turn the envelope into evidence.
Explore Measure & Control- PillarGovern & Orchestrate
Role-based permissions, audit trails, approval gates, and model independence, all inside one policy plane.
Explore Govern & Orchestrate- PillarBuild & Accelerate
Guided, low-code agent creation so the people who know the workflow shape the agents that run it.
Explore Build & Accelerate
Start from any of the hundreds of healthcare workflows in our Agent Workflow Library, or explore our products to see how the platform is built.
Learn to budget for agentic AI and transform into an AI Sovereign Company.
Walk through your three highest-volume workflows with our team, compute TCAC per outcome, and leave with the caps, thresholds, and rollback path already drafted.
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