For businesses with repeated work, disconnected tools, or hard-to-find knowledge.
Practical AI automation and connected workspaces for businesses: workflow automation, knowledge assistants, and human review where it matters.
THE APPROACH
I start with the process, not a model. Together we identify the repetitive steps, the information they need, and the decisions that should stay with a person. Then we build a focused system around that workflow.
Provider access, data permissions, operating costs, and allowed actions are agreed first. AI outputs need evaluation; an assistant is not an automatic substitute for professional judgment.
FROM QUESTION TO SOMETHING USEFUL
Trace the inputs, tools, exceptions, and people involved in the current process.
Build a small system with clear boundaries and review points.
Evaluate representative cases and explain what happens when a tool or model fails.
IN PRACTICE
A FEW USEFUL ANSWERS
A practical arrangement of tools, knowledge, and workflows for the way you work. The scope can be small; it does not need to replace your existing software.
Only when those actions are explicitly part of the agreed workflow. Drafting and human review are appropriate defaults for consequential actions.
Yes. A narrow workflow is often the clearest place to establish whether automation is useful before expanding it.
A GOOD PLACE TO BEGIN
Tell me about the problem, who it helps, and what a useful first version would do. We’ll work out the scope together.
Discuss your project