AI & System Integration

We connect enterprise systems, automate business workflows, and integrate AI capabilities into existing operations. From AI agents and intelligent automation to data integration and legacy modernization, we help organizations make better use of their technology investments.

Services in this practice

AI Agents & Workflow Automation

Software that acts on its own is mostly a question of permissions, not prompts. We build agents and automations for approvals, intake and triage, with written limits and tests against them.

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Enterprise System Integration

When two systems disagree about the same order, it costs more than the hour it takes to re-enter it. We connect your ERP, CRM, finance and partner systems, and plan for the day one goes down.

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Data Engineering & Integration

Reports that disagree, a nightly load that fails, a customer counted twice. We build the pipelines, warehouses and data tests that settle these with evidence, then answer harder questions on top.

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Legacy System Modernization

The system still runs your business, and nothing new can connect to it. We move it onto something maintainable one piece at a time, proving at every step that its behavior hasn’t changed.

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We start inside the operation, not the plan

Most work in this practice begins with something unglamorous: the spreadsheet a planner keeps because two systems never agreed, the order someone types into a second system by hand, the old system nothing new can reach. Those workarounds are the real design document. They show which rules the organization actually runs on, and where a connection or an agent would take real effort off people’s desks.

Then we decide the order, and AI usually comes last on purpose. An agent can’t act on data it can’t reach, and a model can’t fix numbers nobody trusts, so the first release is often an integration or a set of tested pipelines. Each step goes live on its own, with runbooks. We also build and operate our own AI-native platform, Matefield, so we know what running AI every day involves.

Example use cases

What this work looks like in practice

Four typical starting points. Each begins with a step people already do by hand, and each ends with something your own team runs, monitors and can change.

Document intake

Supplier invoices matched without re-keying

Invoices arrive by email as PDFs. An agent reads each one, matches it to the purchase order and goods receipt in the ERP, and queues clean matches for approval. Anything that doesn’t match goes to an accounts payable clerk with the difference already highlighted.

System integration

Orders and stock that agree everywhere

The web shop, the ERP and the warehouse system each hold their own copy of stock and order status. An event-driven integration keeps them in step, and a nightly reconciliation report shows any order the systems disagree about before a customer notices.

Data and forecasting

Purchasing plans built on checked numbers

Buyers plan orders from a spreadsheet of last year’s sales that someone rebuilds every month. Pipelines from the ERP and the warehouse system feed a tested data model, and a forecast with an honest range sits on top, so planners start from numbers they can trace.

Modernization

An old order system opened to new tools

A system nobody has changed in years still runs order entry, and nothing new can reach it. A documented API goes in front of it, so a customer portal and an automated approval flow can use it, while its internals stay untouched until a replacement is justified.

Where engagements usually start

Symptom	Start with	Often followed by
Staff re-key data between two systems	Enterprise System Integration	Data Engineering & Integration
Two reports, two different numbers	Data Engineering & Integration	AI Agents & Workflow Automation
A queue of repetitive back-office steps	AI Agents & Workflow Automation	Enterprise System Integration
Nothing new can reach the old system	Legacy System Modernization	Enterprise System Integration
An AI pilot with no owner or budget	A use-case review	AI Agents & Workflow Automation

A typical order, not a fixed one. Many problems touch two of these, and the first step is often smaller than the problem suggests.

Before you get in touch

No, only the part the use case touches. An agent that triages tickets needs reliable access to the ticket system and the customer record, not a company-wide data platform. Where the data a use case needs is missing or disputed, we say so early, and that part gets fixed first, in the narrowest form that works.

Not sure which one you need?

Describe the problem in a paragraph and we will tell you which service applies.

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