AI Agents

Custom AI Agents for Real Workflows

Agents become valuable when they can participate in real work. That also means their information, tools, permissions, approvals and operational authority must be explicitly designed.

Agentic systems

An agent can amplify both capability and error

An agent may retrieve information, call tools, update systems, draft communications or initiate workflows. The more it can do, the more important it becomes to define what it can see, what it can use and what it can change.

AFA treats this as Operational Sovereignty: institutional control over the actions intelligent systems are authorized to perform.

Connected capabilities

Build the workflow, controls and evidence together

The agent is not just a model. It is a governed system.

01

Source-grounded assistance

Use approved institutional sources and preserve relevant permissions.

02

Workflow orchestration

Connect tools and steps around a defined outcome rather than open-ended autonomy.

03

Ownership & permissions

Assign owners, identities, tool scopes, approval points and escalation.

04

Evaluation & observability

Test behaviour and record the evidence needed to review important actions.

Implementation

From understanding to responsible action

The workflow is the product.

Define

Specify the job, inputs, outputs and responsible owner.

Constrain

Set information, tool and action boundaries.

Pilot

Evaluate behaviour with representative cases and human review.

Operate

Monitor changes, exceptions and delegated authority over time.

Practical perspective

From understanding to practical action

Atkinson connects people, policy, infrastructure and implementation so each initiative can move forward with clarity, accountability and purpose.

Boundaries are part of the offer

Bring the workflow, users, information sources and actions. AFA can help design the system around explicit authority.

Start with the workflow