AI Development & Integration
Embed AI into the engineering and operational systems you already run — not a bolt-on chatbot.
Most of the value is in the systems you already have. We wire AI into them — your ERP, your databases, your internal apps — so it removes real steps inside the tools your team already opens every day.
What it is
Your company already runs the systems that matter: an ERP, a handful of internal databases, the line-of-business apps your team lives in. We connect AI into those systems rather than around them.
The work is integration, not replacement. We add retrieval, drafting, classification, and decision support exactly where they cut manual steps — inside the tools people already use, with access to your data and your rules.
This is not a chatbot stuck to the side of your website. It is AI wired into the place the work actually happens, governed by your existing permissions and logged from the start.
Who it's for
- Companies running an ERP, MES, CRM, or custom internal systems that hold the real data.
- Teams whose people copy data between tools by hand all day.
- Operations that tried a standalone AI tool and found it cut off from their actual work.
What you get
- AI connected to your existing systems through their APIs or databases.
- Retrieval over your own documents and records, so answers come from your data.
- The specific automations that remove the most manual steps, built and in production.
- Access controls and audit logs that match the permissions you already run.
- Documentation and handover so your own team can maintain it.
How we do it
We start in Discover, mapping where AI removes the most manual work across your systems. In Design we decide what to connect and where it runs. In Build & deploy we integrate against your real systems in short iterations, putting working slices in front of your team early. In Optimize we tune against real use, then hand over a documented system — or stay on to run it.
It follows the same four steps we use on every engagement — see the full approach.
Proven in the field
Independent examples of this approach working in the industries we serve — construction, engineering, medical engineering, manufacturing, and renewable energy. These are cited references to others' work; they show the kind of system we build for you.
- Manufacturing
Wire predictive maintenance into the systems that run the plant — BlueScope moved from reactive repairs to predicting failures with Siemens Senseye, avoiding thousands of hours of unplanned downtime. Siemens — BlueScope (opens in new tab)
- Renewable energy
Feed AI forecasts straight into how an operation commits output — Google DeepMind raised the value of wind energy by about 20% by predicting generation 36 hours ahead. Google DeepMind (opens in new tab)
- Construction
Connect computer vision to the BIM model so progress and rework surface automatically — Buildots tracks site reality against the plan on projects including Intel's fabs. Buildots — Intel (opens in new tab)
Questions, answered
Do you replace our ERP or other core systems?
No. We connect to them. Replacing working systems is slow and risky; integration delivers value faster and keeps your data where it already is.
Which models do you use?
Whatever fits the task and your constraints — hosted models for general work, open-source models on your own hardware when data cannot leave the building.
How long before we see something working?
We put a working slice in front of your team within the first iterations, then expand from what proves out rather than building everything up front.
What about data security?
Access follows your existing permissions, every action is logged, and for sensitive work the whole system can run on-premise.
Put ai development & integration to work.
Describe the workflow you'd like to fix. We'll come back within one business day with a first read on what's worth doing.