AI systems and automation built around the work you already do
We design and build AI workflows for defined business tasks: checking a website on every release, turning documents into checked records, and running recurring work with Claude Code or OpenAI Codex. Each one has clear inputs, checks before anything changes, and a person who owns the result.
- Map the workThe task, its inputs and its owner
- Build with checksTested on real examples
- Hand it overA routine your team runs
Services
Start with one of these
Website quality monitoring
A read-only watcher that checks new and changed pages in a real browser and files ready-to-fix tickets in your tracker.
AI document processing
Invoices, forms and applications turned into checked records, with doubtful cases sent to a person before anything is passed on.
Claude Code implementation
One recurring task set up in Claude Code with shared instructions, the right tools, review checks and a routine your team owns.
OpenAI Codex implementation
Scheduled reports, data jobs and tool integrations run by Codex, with clear permissions and a routine your team owns.
How we work
Begin with one process you can measure
- 01
Map the work
The decision, the current tools, the people involved and the points where information gets lost.
- 02
Set the rules
Inputs, acceptable evidence, ownership, review points and what success looks like.
- 03
Build and test
One path piloted with real records or tasks, including exceptions and failures.
- 04
Operate and improve
The system documented, its outcomes inspected and the workflow adjusted as conditions change.
Delivered work
Built with Claude Code for a comics publisher
A quality watcher for a growing comics catalogue
We designed the checks, severity rules and ticket format, and built the watcher in Claude Code with read-only access. Each run compares sitemaps and homepage shelves with the last run, checks new episodes in a real browser and files tickets in the team's tracker. The team reports that checking is easier and faster, and that a recurring cross-check is now possible.
A digital comics publisher's content team; 2026
Outcome as reported by the publisher's team. Issue counts and time saved are not published.
Published case study
How engagements work
A written scope and a fixed quote before any build
The founder of AGI Technologies leads every engagement, from the scoping call to the handover.
Every engagement starts with a written scope: the task, what you receive, how the result is judged, the running costs and who maintains it after handover.
The first pilot has a fixed quote, agreed before any work starts. It covers a single task or a single website, so you can judge the result before anything expands.
Questions
Before a scoping call
Which tasks are a good fit?
Tasks that repeat, have clear inputs and outputs, and have someone who can accept or correct the result. If a fixed rule or a simple script solves it, we recommend that.
Which AI tools do you use?
We choose the model and tools for the task and your existing systems. Much of our own build work runs on Claude Code.
Who owns the system afterwards?
Your team. Every project ends with a written routine, the setup in your accounts and a clear owner for access, running costs and changes.
How is the work priced?
After the scoping call you receive a written scope with a fixed quote for the first pilot. Running costs such as hosting and software accounts are listed separately in the same scope.
Scope the next step
Bring one task that repeats
Tell us what the task is, where its inputs live and who checks the result. On a 30-minute call we scope a first project and its fixed quote.