AI AGENT ENGINEERING

Agents that act in your systems. Inside limits you can prove.

We design, connect, test and run AI agents that act in SAP and other business systems, with scoped permissions, human approvals and a full audit trail.

See what an agent needs
FORCIO · CTO · AI LEAD · ENTERPRISE ARCHITECT
THE IDEA

Onboard an AI agent the way you'd onboard a new hire with system access.

A chat assistant answers questions. An agent changes records. That's why it needs the same six things you'd give any new colleague before day one.

01

A badge

Its own identity. Never a shared login or a person's credentials.

02

Only the access it needs

Least-privilege roles mapped to your SAP and system authorizations, with segregation of duties.

03

A rulebook

Policies, thresholds and exceptions written down before it acts.

04

Approved tools

A short list of actions with validated inputs. Nothing outside the list.

05

A manager

A named person who approves what is above its authority and owns the outcome.

06

A paper trail

What it saw, what it decided and what it changed, ready for audit.

01 · Design

Which task is worth automating?

We pick one bounded task with a clear owner and a measurable outcome, and set the autonomy target.

YOU GETAgent brief: task, owner, KPI, autonomy target
02 · Connect

What does it need to know and do?

We connect the knowledge it may read and the actions it may take, through APIs your teams approve.

YOU GETTool contracts and data-access map
03 · Control

What may it do alone?

We set thresholds, approvals and segregation of duties, and decide which actions must be reversible.

YOU GETAutonomy and control matrix
04 · Test

Does it behave before it goes live?

We test it against real scenarios, edge cases and attempts to push it past its limits.

YOU GETEvaluation suite and go-live criteria
05 · Operate

Is it still doing the right thing?

We monitor quality, cost and exceptions, review it on a schedule and keep a way to stop it instantly.

YOU GETRunbook, dashboards and kill switch
AUTONOMY

Choose how far the agent goes. The controls follow.

THE AGENT

Prepares the fix with evidence and waits.

CONTROLS REQUIRED

Policy check · explanation · approval queue

THE PERSON

Approves or rejects in one click.

DESIGNED FOR WHAT GOES WRONG

Many agent projects stall on cost, unclear value or weak controls. We design for those first.

It acts on a wrong assumption

Validated tool inputs and a policy check before every action

It has more access than it needs

Its own identity with least-privilege roles and segregation of duties

It quietly gets worse

The test suite re-runs on every change; quality and drift are monitored

Nobody owns it

A named business owner and a technical owner, with a review schedule

Its action can't be undone

Reversible actions first, approvals for the rest, and a kill switch

Working in SAP?

See the full reference case: a vendor invoice exception handled by an agent, with SAP controls and audit.

AI for SAP
BUYER QUESTIONS

Questions to resolve before starting

What makes an agent enterprise-ready?+

It requires business context, governed knowledge, authenticated tools, identity, human oversight, evaluation, observability and exception handling.

Is this the same as AI for SAP?+

No. This page covers agent engineering across enterprise systems. AI for SAP focuses on bounded SAP processes, access and transactional controls.

Where does human oversight fit?+

Oversight is designed according to business risk, authorization, reversibility and the level of agent autonomy.

How does EAA™ relate?+

Enterprise Agent Architecture™ provides the research framework; an engineering engagement applies it to a bounded system and operating context.

Bring one task you'd trust a new hire with.

We'll tell you whether an agent can do it, how far it should go alone, and what it takes to run it safely.