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AI agents · design, build and govern

AI agents that do the work between your systems, with people in control.

An AI agent is software that is given a goal instead of a script. It works out the steps, uses your systems to take them, adapts when a case is unusual, and stops to ask a person when it should. We design, build and govern agents for finance, procurement, sales and service, IT, people and operations, and we set the limits, the approvals and the records that let a business rely on them.

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Capabilities

What AI Agents covers

  • Agent design

    Define the goal, the tools it may use, the actions it may take and what it must never do, before anything is built.

  • Connection to your systems

    Secure connectors to your ERP, documents, mail, CRM and service desk, using only the permissions the agent needs.

  • Multi-agent workflows

    Several agents, each with a narrow job, passing work along with approval gates between the stages.

  • Guardrails and approvals

    Limits on what an agent can approve, spend or change, with a person asked wherever the stakes are high.

  • Oversight and records

    A log of every step, tests before each release and monitoring afterwards, so you can see what the agent did and why.

  • Staged freedom

    Start by assisting, move to recommending, then to acting with approval, and give an agent more freedom only as the evidence builds.

Agents in practice

What agents do for a business, and how they are kept in check

An agent reads a document, looks up an order, drafts a message or creates a record, and stops to ask a person when it should. Here is how it differs from a chatbot or a workflow, twelve uses we build, what an agent is made of, and how much freedom it is given.

A chatbot, a workflow, or an agent?

  • Chatbot

    Answers questions in conversation.

    It talks; it does not act in your systems.

  • Workflow automation

    Follows fixed steps exactly, every time.

    It stops, or gets it wrong, when the input is not what it was built for.

  • AI agent

    Works out the steps to reach a goal, uses your systems to take them, adapts to variations, and stops to ask when it should.

    It needs clear limits, the right access and oversight, which is what we design.

Where agents help: twelve uses we build

Each one is a real piece of work that people do today. For each, we say what the agent does, what it works with, and how people stay in control.

12 uses shown

  • Finance

    Accounts payable agent

    What it does
    Reads supplier invoices from the inbox or a portal, matches them to purchase orders and goods receipts, proposes the coding, and queues only the exceptions for a person.
    Works with
    Email, your document store, SAP or another ERP
    How people stay in control
    A person approves every exception, and anything above a payment threshold you set.
  • Finance

    Month-end close assistant

    What it does
    Chases the inputs that are late, reconciles sub-ledgers against the ledger, drafts variance explanations for the controller, and keeps the close checklist up to date.
    Works with
    ERP, bank statements, spreadsheets, shared drives
    How people stay in control
    The controller reviews the commentary and signs off every journal; the agent posts nothing on its own.
  • Procurement & supply

    Requisition and supplier follow-up agent

    What it does
    Turns a request into a compliant requisition from approved catalogs, compares quotes, and chases suppliers for confirmations and delivery dates.
    Works with
    SAP Ariba or your ERP, email, supplier portals
    How people stay in control
    Buyers approve awards and any spend outside policy; supplier messages follow templates you have approved.
  • Procurement & supply

    Inventory and supply exception agent

    What it does
    Watches stock levels, lead times and open orders, proposes reorders and stock transfers, and alerts buyers to late shipments with the facts they need to act.
    Works with
    ERP, warehouse system, supplier and carrier updates
    How people stay in control
    It proposes and planners release the orders; limits you set cap what it may suggest.
  • Sales & service

    Customer service triage and resolution agent

    What it does
    Sorts incoming requests, answers routine ones from your knowledge base and order data, drafts replies for the rest, and hands over to a person with a summary.
    Works with
    Help desk, email, chat, CRM, ERP order status
    How people stay in control
    Staff review drafts on sensitive topics; it never promises refunds or terms beyond your rules.
  • Sales & service

    Quotation and CRM agent

    What it does
    Drafts quotes from price lists and past deals, enriches leads, writes up calls into the CRM and schedules the follow-ups.
    Works with
    CRM, ERP price lists, calendar, email
    How people stay in control
    Salespeople review and send; discounts outside policy go to a manager.
  • IT & security

    IT service desk agent

    What it does
    Handles password resets and access requests within policy, diagnoses common incidents, and opens tickets with the details an engineer needs.
    Works with
    Microsoft Entra ID and 365, your service desk tool, endpoint management
    How people stay in control
    Privileged access always needs a human approval, and every action is logged.
  • IT & security

    Security alert triage agent

    What it does
    Enriches alerts with context, groups related events, drafts an incident summary and recommends a response, such as isolating a device.
    Works with
    Firewall and endpoint logs (Fortinet, Sophos, Microsoft), your monitoring tools
    How people stay in control
    Containment steps wait for an analyst's approval, unless you pre-approve a narrow, low-risk action.
  • People & compliance

    HR onboarding and policy agent

    What it does
    Answers policy questions, collects onboarding documents, schedules orientation and keeps new-starter checklists moving.
    Works with
    SAP SuccessFactors or your HR system, email, calendars
    How people stay in control
    HR owns the answers and the sign-off; personal data is kept to a minimum and access follows roles.
  • People & compliance

    Contract and compliance review agent

    What it does
    Extracts clauses, dates and obligations from contracts, compares them with your standard terms, flags deviations and tracks renewals.
    Works with
    Document store, contract repository, calendar
    How people stay in control
    A lawyer or contract owner reviews every flagged item; the agent gives no legal advice.
  • Management

    Executive reporting agent

    What it does
    Prepares a morning summary of the numbers that matter, explains variances in plain language, and answers follow-up questions with a drill-down.
    Works with
    ERP, Power BI and other BI tools, spreadsheets
    How people stay in control
    Analysts define the metrics, and every figure links back to its source.
  • Hospitality

    Guest concierge and operations agent

    What it does
    Answers guest questions and booking enquiries by chat, passes housekeeping and maintenance requests to the right team through the property system, and suggests relevant extras.
    Works with
    StayQuora, messaging channels, the booking engine
    How people stay in control
    Front-desk staff take over complaints and exceptions; offers follow rules the hotel sets.

What an agent is made of

  1. A goal and instructions

    What the agent is for, what good looks like, and what it must never do.

  2. Tools

    The systems it may use, and the exact actions it may take in each: read an invoice, create a draft, send a message.

  3. Knowledge

    Your documents and data, retrieved at the moment of need and checked against the permissions of the person asking.

  4. Guardrails

    Limits on what it can approve, spend or change, with an approval wherever the stakes are high.

  5. Oversight

    A record of every step, tests that run before each release, and monitoring afterwards.

How much freedom an agent has

  1. Assist

    The agent drafts, summarizes and suggests. A person does the work.

  2. Recommend

    The agent proposes a specific action, with its reasons. A person approves each one.

  3. Act with approval

    The agent prepares and performs the steps, and pauses for approval at the points you set.

  4. Act within limits

    For low-risk, well-understood tasks the agent acts on its own inside strict limits, and people review samples and exceptions.

We start at the lowest level that delivers value, and move an agent up only as the evidence builds.

What makes a good first agent

  • It happens often, and follows a pattern people can describe.
  • The information it needs is already in your systems or documents.
  • A mistake is visible, and can be reversed, before it costs money.
  • Someone owns the process and will review the agent's work.

Is it the right one?

Where it fits, and where it does not

We would rather you choose the right thing than the one we happen to be discussing.

A strong fit when

  • A process happens often, follows a pattern people can describe, and takes real time.
  • The information it needs is already in your systems or documents.
  • A mistake is visible, and can be reversed, before it costs money.
  • Someone owns the process and will review the agent's work.

Look at something else when

  • A fixed set of rules already does the job: plain workflow automation is simpler and more predictable.
  • The decision is high-stakes and cannot be reviewed or reversed: keep a person in charge, and use the agent to prepare the case.
  • The data the agent would need is not in a usable state: fix that first, and we can help.

How we deliver

How Abrimatt delivers AI Agents

Every engagement runs in phases, so the business sees progress and risks surface early. The timescale for each phase is set after an assessment, not before.

  1. Discover

    Find the processes where time goes, and where the information the work needs already exists.

  2. Assess

    Decide where an agent, plain automation or a person is the right tool, and what could go wrong.

  3. Design

    Set the goal, the tools, the limits, the approvals and the records, with the people who own the process.

  4. Build and test

    Build the agent and test it on real cases, including awkward ones, running beside the people who do the work.

  5. Deploy

    Introduce it at the lowest level of freedom that is useful, with access control and training for the people it works with.

  6. Improve

    Watch the exceptions, tune the agent, and widen its freedom only as the record supports it.

Questions we are asked

AI Agents: questions and answers

What is the difference between a chatbot, a workflow and an agent?

A chatbot answers questions. A workflow follows fixed steps exactly. An agent is given a goal, works out the steps, uses your systems to take them and adapts to variations, stopping to ask when it should. Each suits a different problem, and we say which one yours needs.

How do you keep an agent from doing something it should not?

By design: the agent can only use the tools and take the actions we give it, with limits on what it may approve or change, an approval wherever the stakes are high, tests before each release and a record of every step. It begins with little freedom and earns more as the evidence builds.

Can an agent work with SAP?

Yes. An agent can read from and, where you allow it, write to SAP S/4HANA, SAP Business One and other systems through their standard interfaces and SAP BTP, using a service identity you control. We design exactly what it may read and write.

Goes well with

Related solutions

  • Assistants

    AI Business Assistants & Knowledge Copilots

    Assistants that answer from your own documents and systems, with each person seeing only what they are allowed to see.

    Explore Business Assistants
  • Automation

    AI-Powered Process Automation

    Combine rules, workflow and AI to route requests, approvals and handoffs between your systems, with an audit trail on every step.

    Explore AI Process Automation
  • Governance

    AI Strategy, Governance & Security

    A practical framework for using AI safely: use-case selection, data boundaries, access control, testing, monitoring and human oversight.

    Explore AI Governance

Carried out with

Services that go with it

  • Intelligent systems

    AI Automation & AI Agents

    Pragmatic automation and AI agents that read documents, triage requests and carry multi-step tasks, with people approving what matters.

    Explore AI Automation
  • Advisory

    Process Optimization

    Map how work really flows, remove the waste and agree the measures, before any software is added or automation applied.

    Explore Process Optimization
  • Intelligent systems

    Business Process Automation

    Approval flows, onboarding, procurement requisitions and routine handoffs automated with rules, audit trails and clear exceptions.

    Explore Process Automation

Start the conversation

Find the first process worth handing to an AI agent.

Tell us which piece of work costs your team the most time. We will map where document processing, automation or an agent fits, and where a person should stay firmly in charge.

  • A shortlist of the processes where an agent or automation would earn its place
  • The systems, data and permissions each one would need
  • The controls and approvals we would design in from the first day

What happens next

  1. Tell us where you are

    A short form or a call: what you run today, and what is getting in the way.

  2. We review it with you

    A named consultant looks at your situation and talks through the options and what each would involve.

  3. You decide what comes next

    You leave with a clear picture and a recommended scope you can take to your team.