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Assess and Prioritize Agentic AI Use Cases in Professional Services Organizations

Assess agentic AI use cases with a triage model that connects fit, guardrails, and value.

  • 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.

Assess and Prioritize Agentic AI Use Cases in Professional Services Organizations Research & Tools

1. Assess and Prioritize Agentic AI Use Cases in Professional Services Organizations Storyboard – Determine where agentic AI fits within your firm, distinguish it from other automation tech, and prioritize the highest-value use cases.

This research gives members a practical, structured way to assess agentic AI through a professional services lens. It explains how to evaluate workflow fit, apply autonomy guardrails, connect use cases to business capabilities and value drivers, and move from scattered ideas to a defensible, prioritized portfolio. It also includes a long list of agentic use case examples, a triage model, and pilot-ready versus emerging use case views to help leadership teams make clearer investment and sequencing decisions.

2. Agentic AI Use Case Tool for Professional Services – Score and prioritize agentic AI use cases by comparing business value, implementation feasibility, agent role, and autonomy requirements.

This evaluation tool provides members with a repeatable process for turning agentic AI ideas into portfolio decisions. It helps teams define scoring criteria and assess use cases across business impact and implementation feasibility criteria. The result is a scored, visually prioritized set of opportunities that supports disciplined sequencing, clearer stakeholder alignment, and stronger readiness for pilot planning.

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Get the help you need in this 3-phase advisory process. You'll receive 8 touchpoints with our researchers, all included in your membership.

Guided Implementation 1: Define & Anchor the Context
  • Call 1: Review the firm capability map/value streams.
  • Call 2: Identify domains and workflows where agentic AI may create value.

Guided Implementation 2: Identify & Assess Use Cases
  • Call 1: Review and finalize tool criterion and scoring model.
  • Call 2: Ideate a list of use cases aligned to agentic AI patterns.
  • Call 3: Evaluate use cases against safety criteria.
  • Call 4: Evaluate remaining criteria against agentic fit criteria.

Guided Implementation 3: Prioritize & Validate the Portfolio
  • Call 1: Complete tool with remaining use cases and refine scoring.
  • Call 2: Summarize results and plan next steps.

Author

Kassim Dossa

Contributors

  • Kevin Yengling, Director – IT & Security, Rehmann
  • Alan Segal, Chief Digital & Technology Officer, AMS
  • Andrea Voth, Associate Director, Business Application Solutions, Rehmann
  • Austin Greca, Manager – Data, Automation & Intelligence, Rehmann
  • Kyle Ireland, Head of AI Transformation, Axiom Law
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