What the work actually is.

The first conversation is rarely the right brief. Teams usually arrive with a candidate fix in mind, something specific they want automated. Sometimes that's the right thing. Often the actual problem is one step upstream and a different shape entirely.

So the first part of any engagement is sitting with the workflow. Talking to the people who actually do it. Watching where it breaks, where the workarounds live, where time leaks out. That gets the brief honest before any building starts.

Sometimes the answer is to build something. Sometimes it's to redesign the process and let the existing tools do their job better. Sometimes it's to do nothing and put the budget elsewhere. The honest answer matters more than a confident one.

Once the brief is clean, the build is narrower than people expect. A lot of useful automation is small. A workflow connecting two tools that should have been talking to each other from the start. A report that pulls itself together every Friday morning. A handoff that no longer depends on someone remembering.

AI fits in where it earns its place. Sometimes that means an LLM doing classification, drafting or extraction. Sometimes it means none of that. Just clean integration logic doing what code has always done well. The label is AI automation, and the practice is honest about which parts use AI and which don't.

The work is tool-agnostic. Zapier, n8n, Make, custom scripts, APIs, whatever fits the problem and your team's ability to maintain it later. What's right for the workflow drives the choice, never what's fashionable.

A system nobody on your team understands is a system that quietly stops working. The handover phase gets more attention than people expect because that's the part that decides whether the system keeps earning its place after the project ends.

So training is built into the engagement rather than bolted on at the end. Documentation in plain language. Walkthroughs recorded for the people who weren't in the room. A short list of what can break, what to check first and who to call when it does.

Some engagements start with training and the building comes later. A workshop is often the cheapest way for a team to figure out where automation actually fits in their work and which problems are worth taking on first.

Half-day or full-day sessions for teams that want to use AI and automation more deliberately but aren't sure where to start. The format is practical instead of theoretical. We go through your team's real workflows, identify the candidates worth automating and build a small system together so the team sees how it actually works end to end.

Workshops are useful as a standalone engagement, and they're often the right opening move for a longer build.

Most engagements last between two weeks and three months. The shape depends on the work.