A consultant should reduce choices, not add noise
The strongest first move is rarely buying another tool. It is identifying where delay, repetition, quality risk, or knowledge friction is visible every week and then choosing the smallest workflow worth testing.
Governance belongs in the first conversation
Consulting should cover data boundaries, approval paths, human review, auditability, and the difference between public AI use and private-stack requirements for sensitive work.
Evidence beats inspiration
A good engagement should produce a workflow map, current-state baseline, prototype or operating model, and a clear recommendation to scale, improve, or stop.
Practical takeaways
- Choose one painful workflow before discussing platforms.
- Include governance and data readiness from day one.
- Expect concrete artifacts, not just strategic language.