Start with friction, not technology.
An automation roadmap should answer a business question: where is time being lost, where are errors introduced, where do handoffs stall, and which parts of the process are repetitive enough to standardize? We map those realities before choosing tooling.
Process auditDocument workflows, systems, handoffs, exception paths and recurring manual work.
Opportunity mapSeparate high-value automation candidates from expensive or risky distractions.
ArchitectureDefine agents, integrations, workflows, permissions, human review and observability.
Delivery roadmapSequence work into small production releases rather than one oversized transformation project.
Prioritize with operational criteria.
Frequency, effort, error cost, data availability, system access, compliance risk and exception rate all matter. A process that looks easy in a demo may be a poor first automation if the operating edge cases are uncontrolled.
Leave with something buildable.
The output should not be a slide deck full of generic AI ideas. It should define specific processes, architecture choices, dependencies, controls and a practical delivery sequence your team can act on.