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Custom AI Agents & Systems

We build AI agents and applications for specific business problems.

Connected to your systems, governed by your access controls and tested on real work. From knowledge assistants to workflow agents, we build around the problem you need to solve.

Talk to usSee working systems
YOUR ENTERPRISE ENVIRONMENTDataToolsAI orchestrationHuman reviewOutput

Connected to your systems. Accountable to your people.

Start with
One priority business problem
Typical build
3–4 months for most builds
You retain
The working system, documentation and operating knowledge
Use cases

Systems we have built for clients.

How we put our security and governance principles into practice — from governed answers and human approvals to AI connected to everyday business systems.

Data and semantic AI

Governed answers from SAP data

People ask business questions in plain language and get answers drawn from SAP, with permissions and traceability.

Read the case
Finance operations

Invoice processing automation

An AI agent reads invoices from email, matches suppliers and prepares ERP drafts that finance reviews before posting.

Read the case
Legal operations

Contract review, approvals and renewals

One workspace to find contracts, analyse clauses with AI, route approvals and track renewals.

Read the case
Knowledge

One place to ask across company documents

An assistant that answers questions across company documents and shows the sources behind each answer.

Read the case

Four of seven working systems. See all business use cases →

How a build runs

From a defined problem to a system you own.

A small team of senior engineers works inside your systems, alongside your people.

01
Scope the work

Agree the problem, the systems involved and what a successful result looks like.

02
Build and review together

Develop and integrate the system with your team, with a weekly written update on progress, blockers and next steps.

03
Launch and hand over

Put the working system into use and equip your team with documentation and the knowledge to operate it.

Typical time to production: 3–4 months. For larger programs we can build the team, operate the system, then transfer both to you.

How we prove it works

Tested before launch. Measured in operation.

  1. 01

    Establish the baseline

    Before we build, we agree the business result and measure how the work runs today: time, effort, error rate and volume.

  2. 02

    Test on your real cases

    Before launch, we test each agent on cases drawn from your work, measuring accuracy and identifying where human review is needed.

  3. 03

    Measure the change

    In operation, we monitor performance against the baseline and report what changes in time, effort and quality.

Governed by design

Built to run inside your environment, under your controls.

Your environment

Connected to your existing systems and deployed in your cloud or infrastructure.

Your controls

Your access policies, compliance requirements and human approvals govern what AI can do.

Traceable actions

Sources, actions and approvals remain visible through audit trails.

Operational ownership

Monitoring, documentation and operating knowledge help your team run and maintain the system.

Keep exploring

A useful next step.

See a system in useGoverned answers from SAP Follow the data, permissions and human controls.Before giving accessSecurity & governance Understand the boundaries agreed before a build.

Bring us the business problem.

Tell us what needs to improve. We’ll explore where a custom AI system could help and what a practical first step would look like.

Discuss your use case
founders@amotion.ai