A governance-first decision framework for CIOs, CDOs, Automation CoEs, and Risk leaders who need measurable AI adoption inside real workflows.
31/03/2026
1:00 PM EST
60 minutes
AI agents are at the peak of hype. Executive pressure is rising. Budgets for AI oversight and governance are increasing. Yet most automation and AI programs stall in pilots.
In regulated industries, the real barrier is not model capability. It is process readiness, governance maturity, auditability, and measurable outcomes.
Common realities we see:
In Financial Services, Insurance, and Healthcare, this approach does not scale. Control strength, audit readiness, and executive validation are mandatory.
This session reframes AI readiness as measurable process readiness.
You will learn how to decide:
By the end of this webinar, you will be able to:
Apply a practical decision framework to determine when to use workflow, decision automation, document automation, RAG assistants, or AI agents
Identify high risk zones in regulated workflows where agents introduce unacceptable compliance exposure
Define human-in-the-loop and audit logging. (at run time)
Establish baseline KPIs tied to cycle time, unit cost, capacity, quality, and control strength
Design a readiness scorecard that produces a defensible Agentify Plan
Connect AI initiatives to measurable business outcomes that support funding approval
Agentify Readiness Scorecard and Governance Blueprint During the session, we will walk through a real-world regulated workflow example and demonstrate:
You will see how to convert AI ambition into a structured, executive-ready plan rather than another pilot experiment.
Proven Results
We measure success by KPI movement and executive validation, not project completion.
Eric leads enterprise automation architecture and governed AI adoption across highly regulated environments. He has deep expertise in IBM automation platforms including BAW, CP4BA, and watsonx. Eric focuses on embedding AI inside real workflows with control, auditability, and measurable impact.
Cesar works directly with Automation Centers of Excellence and domain leaders to baseline workflows, identify bottlenecks, and design outcome-driven Proof of Value initiatives. His experience bridges operational reality and executive validation.
The IBM guest will provide ecosystem perspective on governance, orchestration, and responsible AI adoption in Select and enterprise environments, reinforcing the need for fast proof with structured controls. Salient Process is an IBM Gold Business Partner with over 600 successful projects and recognized leadership in AI for Business
AI agents are powerful. But in regulated operations, power without governance increases risk. If you are responsible for scaling AI responsibly while improving cycle time, cost per transaction, capacity, and control strength, this session will give you a practical framework to move forward with confidence
