Human in the Loop (HITL) Workstream
Optional Deep-Dive Sessions
Once the core foundation is in place, the chapter can offer any combination of the following deep-dive sessions based on member interest. Each stands on its own and can be scheduled independently.
Session 4 — Human in the Loop (HITL) Workstream
Optional Deep-dive· 1 hour
A Human-in-the-Loop implementation turns AI from a black box into a governed system by placing people at the critical decision points — and managing that workstream is a genuine project management competency. Using a Functional Journey blueprint mapped across the CPMAI methodology, this session walks through intake and scoping, data ownership, model validation, risk and policy review, deployment and change control, live monitoring, escalation, and continuous learning.
A featured retrieval-augmented (RAG) use case shows how humans curate sources, review responses, audit citations, and handle low-confidence or sensitive cases. Attendees learn to assign roles via RACI/DACI matrices and to define the change-management work that prepares people to trust and adopt the solution.
Participants will be able to:
- Map HITL checkpoints to the business workflow using a Functional Journey, with defined roles and approval thresholds.
- Design and govern a RAG assistant: curate sources, grade responses, audit citations, and protect sensitive data.
- Operationalize HITL through RACI/DACI handoffs, service levels, dashboards, and feedback loops.
About the Series Cutting Through the Noise: An AI Learning Series for Project Professionals
Artificial intelligence is moving from headline to job requirement. Project managers are increasingly being asked to scope, sponsor, govern, and deliver initiatives that include an AI component — often before they have had a chance to build a grounded understanding of what these initiatives actually involve. The result is a familiar pattern: high expectations, a great deal of noise, and projects that stall because the conversation never moved past the hype.
This proposal outlines a progressive learning series designed specifically for the project professional. Rather than treating AI as a technology lecture, the series builds awareness, then literacy, then practical competence — always anchored in the project management fundamentals and PMI frameworks the chapter’s members already trust. The goal is not to turn PMs into data scientists. It is to help them recognize an AI opportunity, ask the right questions, align stakeholders, and lead the delivery of AI capabilities that produce measurable organizational value.
The series is structured as three core sessions that establish a shared foundation, a set of optional deep-dive sessions the chapter can select from based on member interest, and a capstone full-day workshop. Sessions are modular: the chapter can run the full program or select the pieces that best fit its calendar and audience.
Speakers
