Agentic AI as a Service (GaaS) • GA-06

Cost, Capacity & Model Routing

Keep unit economics under control as volume grows.

Scope

What the engagement covers.

Agentic workloads can quietly become the largest line in an IT budget. This service governs model choice, context size and execution patterns against a cost per completed task.

Included capabilities

Cost per completed task as the primary operating metric
Model routing: smallest capable model per task step
Context and retrieval budgeting to control token growth
Caching, batching and deduplication of repeated work
Budget alerts, rate limits and hard circuit breakers per workflow

Outputs and deliverables

Unit economics model and cost-per-task baseline
Model routing policy with quality thresholds
Budget, rate limit and circuit breaker configuration
Monthly cost and capacity report

Workflow

How it is delivered, step by step.

Each step has an owner, an entry condition and an artefact that has to exist before the next step begins.

01BaselineEstablish cost and latency per task at current design.

02RouteAssign models per step with quality thresholds per route.

03TrimReduce context, cache repeated retrieval and batch where possible.

04CapBudgets, rate limits and circuit breakers per workflow and tenant.

05ReportUnit economics tracked against the business case monthly.

Use cases

Where this is typically applied.

Use case 01

Workflows scaling from pilot volume to full production

Use case 02

Finance functions requiring predictable AI operating cost

Use case 03

Multi-tenant deployments needing per-unit cost attribution

Delivery model

The operating pattern for Agentic AI as a Service (GaaS).

The same delivery discipline applies across every capability in this line, so combined engagements stay coherent.

Select

Pick a workflow where volume, rules and evidence make automation defensible.

Design

Task decomposition, tool permissions, data scope and escalation rules.

Pilot

Shadow mode against real work, measured against the human baseline.

Release

Graduated autonomy, approval gates and rollback for each action class.

Operate

Monitoring, drift review, cost governance and monthly service review.

Integration

AAIOS tool broker connects to ERP, CRM, ticketing, email and document stores.
Identity provider for agent identity, scoped tokens and least-privilege access.
Existing approval workflows, so human sign-off stays where governance expects it.
Data platform and warehouse for grounding, retrieval and reporting.

Engagement approach

GaaS is priced per workflow with a defined scope of actions, not per seat. Every workflow starts in shadow mode, moves to human-approved execution, and only reaches autonomous execution for action classes where the client has explicitly accepted the risk in writing.

Other capabilities in Agentic AI as a Service (GaaS).

View the full Agentic AI as a Service (GaaS) line →

GA-01