Is AI just creating efficiency, or is it creating measurable business value?

Start with the value the business needs. Then redesign the work to create it.

Bring 1–3 AI initiatives, productivity opportunities, or areas where work is already changing. Your leadership team will decide what value the business is trying to create, where capacity should go, and what roles, workflows, decision rights, and operating-model choices need to change to capture it.

Efficiency is an input. Business value is the outcome.

Start a Conversation See How the Workshop Works

Leadership team working through value and operating-model choices at a whiteboard

THE WORK

Define the value. Decide the capacity. Redesign what must change.

FORMAT

Full day

GROUP SIZE

8–15 participants

INVESTMENT

Starting at $10,000

Efficiency creates capacity. Leadership decides whether it becomes value.

Saving time is only the beginning.

AI can reduce effort, speed up work, or increase output. But those gains do not automatically become growth, margin, customer value, better insight, or stronger performance. Someone still has to decide what the capacity should become and what needs to change around the work to make that outcome real.

THE INCOMPLETE ANSWER

“AI saved us time.”

THE VALUE DECISION

“We know what the capacity should become, who owns the decision, and what must change to capture the value.”

60% of companies are not achieving material value from AI.

They report minimal revenue and cost gains despite substantial investment.

Boston Consulting Group · The Widening AI Value Gap · 2025

First decide what the capacity should become. Then redesign what must change to make that value real.

AI creates an economic choice and an organizational design problem. Leadership first decides where the gain should go. Then the team identifies what needs to change in the work, roles, capabilities, decision rights, measures, and operating model to capture it.

ALLOCATE THE GAIN

What should the capacity become?

BANK IT

Capture the gain as cost or margin improvement.

Some capacity should be taken out of the system directly through lower cost, reduced external spend, avoided hiring, or a smaller resource requirement. The key is to make the economic benefit explicit rather than assuming saved time automatically becomes margin.

LEADERSHIP QUESTION

Is cost or margin improvement the highest-value use of this gain?

Make explicit: what capacity is truly removable, when the benefit can be captured, and who owns the result.

REDESIGN AROUND THE CHOICE

What has to change for the value to actually happen?

The allocation decision is only the start. Whether the capacity is banked, redeployed, or reinvested, the surrounding work may need to change so the intended outcome can hold.

ROLES

Does the job still make sense in its current form?

When AI changes the task mix, the remaining work may require more judgment, relationship skill, exception handling, or coordination. Roles may need to be redefined rather than simply reduced or expanded.

Capacity allocation determines where the value should come from. Redesign determines whether the organization can actually capture it.

Make the value choice operational.

The team applies the framework to real AI initiatives, capacity opportunities, and business priorities, then works through what has to happen next to turn the intended value into something the organization can actually execute.

Map the capacity

Identify where AI is already creating, or is expected to create, meaningful time, attention, capability, or resource capacity.

Quantify the gain

Express the capacity in practical and economic terms so the team can see what is material enough to act on.

Allocate the value

Decide what should be banked, redeployed, or reinvested based on the business outcome the organization needs.

Redesign the work

Identify the priority roles, workflows, capabilities, decision rights, measures, and operating-model choices that need to change around the allocation.

Assign ownership

Make clear who owns the value decision, the redesign, and the actions required to move the work forward.

Define the measures

Establish how the team will know whether the intended business value actually materialized.

Time saved does not create value on its own. The choices leadership makes after the time is saved do.

Leave with the value decisions made. And a clear path to act on them.

The workshop produces a practical set of outputs tied to the initiatives, capacity opportunities, and business priorities your team brought into the room.

Capacity map

A clear view of where AI is creating or expected to create meaningful time, attention, capability, or resource capacity.

Value allocation decision

An explicit choice about what should be banked, redeployed, or reinvested, plus ownership for the decision.

Ranked value opportunities

The growth, customer-value, capability, insight, or performance opportunities most worth pursuing.

Priority work redesign

A redesign direction for 1–3 priority roles, workflows, or role archetypes affected by the value choice.

Operating Model Change Blueprint

The key changes to decision rights, capabilities, measures, governance, structure, or ways of working needed to capture value.

Executive narrative

A concise explanation of where the value should come from, what needs to change, who owns the work, and how progress will be measured.

The workshop ends with more than a list of AI opportunities. It ends with a point of view on where value should come from and what the organization must do to capture it.

Less presentation. More working through the value choices.

The session moves between short bursts of structure, facilitated working time, challenge, and concrete decisions tied to the initiatives your team brings into the room.

Frame

Get clear on the business value the team is actually trying to create.

Work

Apply the frameworks directly to real AI initiatives and capacity.

Challenge

Pressure-test assumptions, tradeoffs, and what must change to capture value.

Commit

Turn the discussion into explicit choices, ownership, and measures.

Real initiatives. Real choices. A path your team can act on.

Start with the business outcome. Then design backward.

Best for leadership teams that want to start with the business problem and desired value, then determine where AI, automation, process change, or work redesign can best contribute.

Particularly useful when leaders are deciding where to invest, which opportunities are worth pursuing, how expected efficiency should translate into value, or what needs to change around the work before scaling a solution.