- Determine when judgement-heavy workflows require agentic AI versus Gen AI, RPA, or redesign.
- Understand where autonomy can be allowed and where human accountability must remain in workflows.
- Confirm that use cases fit the firm’s economics, client expectations, and service model.
Our Advice
Critical Insight
- In professional services, agentic AI is primarily a workflow governance decision, not just a technology decision.
- The strongest use cases are grounded in real workflows, bounded by human review, and prioritized for business fit, delivery value, and firm readiness.
- Firms create value when they replace isolated assessments with a consistent triage model that links workflow fit, autonomy guardrails, and proven business value.
Impact and Result
- Teams gain a shared understanding of agentic AI concepts, vocabulary, and practical fit for professional services firms.
- The work produces a structured set of safe, agentic use cases mapped to business capabilities and evaluated through business impact and implementation feasibility.
- The final output is a scored, visually represented portfolio that supports confident, defensible prioritization and leadership decision-making.