Agentic AI as a Service (GaaS) • GA-04

Grounding & System Integration

An agent is only as good as the systems and facts it can reach.

Scope

What the engagement covers.

Most agent failures are integration failures: stale data, missing context, brittle connectors. This service builds the retrieval and connector layer that makes agent output defensible.

Included capabilities

Connector build for ERP, CRM, ticketing, mail and document repositories
Retrieval design with source ranking, freshness and citation of origin
Permission-aware retrieval so agents never exceed the requesting user’s access
Structured tool interfaces preferred over screen-scraping where available
Data quality monitoring and stale-source alerting

Outputs and deliverables

Connector inventory and integration specifications
Retrieval and grounding design with citation rules
Permission-aware access model
Accuracy test results and monitoring configuration

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.

01InventorySystems of record, access methods, data quality and ownership.

02ConnectBuild connectors with scoped credentials and rate limits.

03GroundRetrieval design with ranking, freshness rules and origin citation.

04TestAccuracy testing against a curated question and task set.

05MonitorOngoing quality checks with alerting on stale or failing sources.

Use cases

Where this is typically applied.

Use case 01

Agents answering from policy, contract or product documentation

Use case 02

Workflows spanning several systems of record

Use case 03

Environments where user-level access control must be preserved

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