Most stalled AI projects are not blocked by the AI. They are blocked by data trapped in systems that do not talk to each other, and by nobody being willing to let software act without supervision.
What is delivered
- Document processing. Invoices, orders and forms read and turned into structured data your systems can use, with the uncertain cases routed to a person rather than guessed.
- Workflow automation. The handoffs where someone currently copies data between two tools. That is usually an integration problem wearing an AI costume, and it is worth solving as an integration.
- Decision support. Surfacing what someone needs in order to decide, rather than deciding for them.
- The plumbing. Connections to your existing systems, the logging, the approval step and the documentation, with the source code handed over.
The rules we build to
Permissions. Automation runs with an identity and a scope, like any other user. It does not get blanket access because it is convenient.
Logging. Every automated action is recorded: what ran, on what input, and what it changed. If you cannot audit it, you cannot trust it.
Human approval on irreversible steps. Sending money, deleting records or emailing a customer requires a person to confirm. Reversible steps can run unattended; irreversible ones should not.
How a project runs
We start by finding the work your team repeats every week and measuring how long it takes by hand. We then agree a fixed scope and price for one automation, build it in milestones you can test on your own data, and hand over the code. The second automation is easier than the first because the connections and the logging already exist.
Work to look at
Our founder built a DevOps-as-a-service platform as his final year project. A language model engine decides whether an application should be deployed on virtual machines or on Kubernetes, and Terraform, Ansible and Jenkins carry out the decision. It is listed in his portfolio. Our ERP demo shows the kind of business system an automation connects to.
What we will tell you honestly
If a rule and a scheduled job would do the work, we will build that instead. It is cheaper, it is easier to reason about, and it does not fail in surprising ways. For connecting two systems without AI, see software integration.