Services

Consulting Services

Practical support for teams and operators who want to use AI, automation, and better workflow design to reduce manual drag, clarify fragmented information, and improve delivery habits.

What I help with

I help shape AI and automation work around real operating problems: repeated manual cleanup, inconsistent team updates, scattered knowledge, unclear handoffs, fragile workflows, and tools that are useful in theory but hard to apply in practice.

The goal is not to add another shiny system. The goal is to make the work easier to understand, repeat, review, and improve.

Service areas

AI Workflow Audit

Map a recurring workflow, identify friction points, and separate useful AI opportunities from ideas that would create more maintenance than value.

Automation Prototype Sprint

Turn one high-value workflow idea into a working prototype with clear inputs, outputs, ownership, and review points.

Agile AI Enablement

Apply AI to planning, retrospectives, stakeholder updates, backlog refinement, team summaries, and the recurring communication work that slows teams down.

Workflow Documentation and Cleanup

Turn scattered process knowledge into clearer templates, lightweight knowledge bases, operating guides, and reusable team workflows.

Good-fit problems

  • Your team spends too much time turning scattered notes, meetings, or status updates into usable information.
  • You have AI ideas, but no clear way to decide which ones are worth testing first.
  • You need a working prototype before committing to a larger automation or AI initiative.
  • Your Agile delivery process creates too much admin work and not enough decision clarity.
  • Your documentation, workflow rules, or knowledge base needs to become easier to use and maintain.

Best Fit

Best Fit

  • Teams with recurring manual workflows that need a clearer operating pattern.
  • Agile teams losing time to admin, reporting, handoffs, or communication overhead.
  • Leaders who want practical AI adoption without a large transformation program.
  • Operators who need a prototype before investing in a larger build.

Not the Best Fit

  • Fully outsourced app builds with no workflow discovery or process context.
  • Generic AI training that is not connected to a real business workflow.
  • Large enterprise transformation programs without a focused starting point.
  • One-off prompt requests where the underlying workflow will stay unclear.

What an engagement can produce

  • A workflow map with friction points and practical improvement options.
  • A prioritized AI or automation opportunity list.
  • A working workflow prototype using tools like n8n, OpenAI, Google Sheets, docs, APIs, or local knowledge systems.
  • Reusable prompts, templates, operating rules, and team-facing documentation.
  • A recommendation for what to keep manual, what to automate, and what to revisit later.

How pricing works

Pricing depends on the scope of the workflow, the complexity of the tools involved, and whether the engagement is an audit, prototype sprint, or broader enablement effort.

Most projects start with a focused conversation to clarify the problem, define the intended outcome, and decide whether a small fixed-scope engagement makes sense.

Typical first engagement

Most work starts with a focused workflow audit or prototype sprint around one recurring process. The goal is to create enough clarity to make a practical decision without turning discovery into a long consulting exercise.

  • A short discovery conversation.
  • A workflow map and friction review.
  • Practical AI or automation opportunities.
  • One recommended next step.
  • Optional prototype or documentation support.

Next Step

Start with the workflow, not the tool

If you have a high-friction process, an AI workflow idea, or a team communication problem that needs a clearer system around it, reach out and we can talk through what would be useful to test first.

Start a Consulting Conversation