Agentic AI as a Service (GaaS) • GA-05

Evaluation & Assurance

Measure the agent continuously, because the model underneath will change.

Scope

What the engagement covers.

Model updates, prompt changes and data drift all move agent behaviour. Continuous evaluation catches regression before the business does.

Included capabilities

Golden task set built from real historical work with known good outcomes
Automated regression evaluation on every model, prompt or tool change
Quality, safety, cost and latency measured together
Adversarial and edge-case testing including prompt injection
Human review sampling with inter-rater agreement tracking

Outputs and deliverables

Golden task set with verified outcomes
Evaluation harness and regression pipeline
Periodic quality, safety and cost reports
Human review sampling protocol and findings

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.

01CurateBuild a golden set from real cases with verified correct outcomes.

02InstrumentAutomated evaluation harness wired into the change pipeline.

03EvaluateRun on every change and on a scheduled cadence in production.

04SampleHuman review of a statistically meaningful production sample.

05ActRegression triggers rollback, retuning or autonomy reduction.

Use cases

Where this is typically applied.

Use case 01

Agents in production across a model version upgrade

Use case 02

Regulated processes requiring evidence of sustained accuracy

Use case 03

Cost control where token spend scales with usage

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