One day. No code. Built for the people who approve the budget, sign the RFP, and defend the capital plan to a board — across drinking water, wastewater, and stormwater.
General managers, utility directors, CFOs, public works leadership, and board members — anyone who has to decide whether a digital twin is worth funding, and defend that decision.
That is deliberate. You will not write Python, configure an MCP server, or calibrate a network. You will learn to evaluate the people who do — to read their results, challenge their assumptions, scope their procurement, and fund their work. The day ends by mapping your utility's gaps to the specific technical training your engineering team needs next.
Six working sessions, two exercises, and a live demonstration — structured so you leave with a plan rather than a notebook full of slides.
Where water utilities actually stand with AI in 2026 — and why the majority of digital twin and AI pilots stall for organizational reasons, not technical ones. This session sets the frame for everything that follows: the constraint is rarely the algorithm.
A live demonstration on a real system, not a slide deck. You watch a natural-language request travel all the way through: model run, calibration check, result, and a ranked capital recommendation — including every point where the system must stop and hand control back to a human engineer.
The prerequisites that determine whether a twin succeeds before a dollar is spent. Participants score their own utility across five dimensions using the NEER Readiness Scorecard — the core workbook exercise of the day, and the input to your closing roadmap.
How to scope an AI or digital twin RFP that gets you a working system instead of a dependency. Includes a red-team exercise on an anonymized vendor claim sheet — you find what the language is hiding.
Your engineers hand you a ranked list of capital projects generated from a risk model. This session teaches you to interrogate it. You will work through a real ranked project list and identify the three questions that must be answered before you approve it.
Translating a technical capability into a funding decision that survives a public meeting — including how to justify capital spend on software and data when the comparison on the table is a pipe replacement.
The questions no vendor will raise with you. What happens when the agent is wrong, who is accountable, and how the engineering organization has to change around automated work.
Facilitated working session. Each participant drafts a one-page roadmap for their own utility, built directly from their Session 2 scorecard, then shares it to the room for peer challenge.
Executives judge a day by what they can use on Monday. Every one of these is completed in the room, for your utility.
Your utility scored across five dimensions — data, instrumentation, model maturity, people, and governance — with benchmark comparison.
A sequenced, budgeted plan drafted by you in the closing session and pressure-tested by peers in the room.
Scope language, acceptance criteria, data ownership clauses, and exit terms for an AI or digital twin procurement.
The questions that separate a working system from a demo — organized by evaluation stage.
What to ask your engineering team before approving any risk-ranked capital program.
A structure for presenting AI and digital twin investment to a board or council that has never funded software as infrastructure.
At this level, half the value is the room. Peer discussion between utilities facing the same decisions breaks down past roughly two dozen people, so we hold the cap — every session includes structured peer exchange, not just instruction.
Your engineers take their two-day practitioner course live online, from their own desks, in the same month as your executive day. Only leadership travels — and the team comes back aligned on both the plan and the technical work behind it.
Every executive session runs in person, at a venue announced with its date. Leaders work through the readiness and CIP exercises together and compare notes face to face, which a video call does not replace.
No modeling, coding, or data science experience is assumed or needed. Bring working knowledge of your own utility's operations, capital planning process, and current pain points.
The executive program tells you what to build. The practitioner track is where your engineers actually build it — and the two connect at the capital plan.
In Advanced Module 6, your engineers produce a risk-based capital plan from a calibrated digital twin. In Session 4 of this program, you learn to interrogate and defend that same plan. Send the team to build it; come yourself so you can approve and fund it with confidence.
Sign up for the next in-person executive session. We'll email you the date and city as soon as they are set, with a quote or invoice for your utility. No payment now.