Frame
Understand the operating reality
Who decides, uses, approves, and can override? What is the workflow, why does it matter now, when must it change, where are the handoffs, and how will your team deliver?
Decision systems approach
The goal is a better operating decision, not more technology for its own sake.
The right answer might be a simpler process, a reliable integration, rules, optimization, ML, an agent, or a staged combination. Start with the business consequence and work backward to the system you can actually operate.
How I work
Frame the decision. Test the assumptions. Make the next step executable.
Choose
Compare realistic options
Examine data quality, ownership, permissions, failure modes, vendor tradeoffs, and delivery capacity. Recommend an appropriate level of automation rather than assuming an agent is the answer.
Learn
Define evidence before scaling
Establish a baseline, success measures, guardrails, review points, and an owner. Decide what would cause the organization to proceed, revise, pause, or stop.
When agents make sense
From a promising AI pilot to a workflow your people can trust
Your team needs to know what an agent may see and do, when it asks for approval, what happens when a tool fails, and how outcomes are evaluated. An agent workflow is useful only if it improves an actual job and stays accountable to the people running it.
For a specific client use case, I can help you map the work, define access and approval boundaries, plan evaluation against real cases, and outline a staged rollout. This is advisory on a potential operating capability—not an off-the-shelf platform sale or a promise to deploy a product within a sprint.