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AI-Era Product Operating Model Program

Building got cheap. Deciding didn't.

AI is an amplifier. This program helps your IT organization decide what it amplifies: Moving from projects to products, so people and agents work toward outcomes you can see and own.

 

Most IT operating models were designed around one constraint: building was expensive. AI is removing that constraint quickly. Add AI to a project-era model and you get more output, faster, with no clearer sense of whether it mattered and that is why an AI product operating model specific to how you work is needed.

The challenge

  • Annual funding, project gates, handoffs and big-batch plans all exist to ration scarce build capacity.

  • AI is making building cheap. Deciding what to build, checking whether it worked and owning the result are not getting cheaper.

  • The tools are already in. The operating model hasn't caught up.

  1. A leadership team aligned on the why, the end state and a clear AI stance, with finance, the business, risk and HR in the room.

  2. Products defined from your customers' point of view, with today's teams, systems and dependencies mapped onto them.

  3. A funding approach agreed with finance, with money set aside for the first products so they don't wait for next year's budget cycle.

  4. Two or three product teams running, each with a Product Goal, a named owner for every outcome and agent workflow, and signals to watch.

  5. Evidence after 90 days to decide where to extend the model next, and a cadence for evolving it.

What you get

Outcomes, not a transformation program:

WHAT THE END STATE PROTECTS

Direction. Ownership. Evidence.

Direction

Outcomes that matter

Clear, measurable outcomes that tell people and agents what matters.

Ownership

A named human

A named human accountable for every outcome, whoever or whatever did the building.

Evidence

Short loops

Short loops that show whether the work changed anything.

Built on seven principles: 1 Start with the outcome · 2 Own it end to end · 3 Learn in small bets · 4 Make decisions visible · 5 Build governance into the work · 6 Grow judgment, not just output · 7 Evolve the model with evidence

How it works: mobilize, then 90 days of measured bets

PHASE

WHAT WE DO TOGETHER

YOU LEAVE WITH

Mobilize, weeks 1–12

Leadership workshop to agree the why, the end state and a draft AI stance. Organization-wide briefings. Define products and map teams, systems and dependencies. Agree a funding approach with finance. Readiness sessions. Baseline the first products against the seven principles.

A leadership decision: which products go first, who owns each outcome, when you'll review

Launch, days 1–30

Form long-lived teams around the chosen products. Set a Product Goal for each, publish the AI stance and name a human owner for every agent workflow.

Product teams working toward measurable outcomes

Experiment, days 31–60

Each product picks one change aimed at its weakest principle, with one signal to watch and a review date agreed up front.

Running experiments with clear signals

Inspect and adapt, days 61–90

Read the signals, keep what worked, drop what didn't, and bring the results to your next funding conversation.

Evidence for where to extend the model, and a cadence for evolving it

At a glance

For: CIOs and CTOs of large IT organizations, with their finance, business, risk and HR partners.

Duration: about 5–6 months, 8–12 weeks to mobilize, then 90 days.

Scope: your leadership team and the first two or three products.

Format: on site and virtual, combined to suit your teams.

Led by: Dave West, founder of Value Amplified.

What's included

  • One-day leadership workshop, in person or as two virtual half-days

  • Briefing materials and support for leadership town halls

  • Product definition and dependency map

  • Working sessions with finance on the funding approach

  • Readiness sessions for leaders and the first product teams

  • Baseline assessment and written readout

  • Regular advisory sessions through the 90 days

  • Day-90 review and recommendation on where to go next

Why Value Amplified: Drawing on continuous research and more than 30 years of experience, we help organizations bring the ideas of agile delivery into the world of agentic systems, and answer the questions every product leader is asking right now.

Start with a leadership workshop

One day to agree the why, the end state and a draft AI stance, and to decide whether the full program is right for you.

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