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CloseWeaveAI

Leadership

Decide where AI pays back, then make it happen.

Too many AI budgets fund pilots that never reach daily work. We help leadership teams pick the processes that pay back and set the rules. You fund them like any other investment and see the results in the numbers.
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At a glance

The board asks which AI work to fund, fix or stop.

Deployed AI

Weeks of work

Managers collect and compile

Operational AI

Hours each month

AI keeps the portfolio current; leaders decide

See all three ways

Illustration

What matters

What leadership teams are judged on.

  • Return on AI spend

    Money moved from pilots to processes that pay back.

  • Risk and governance

    Clear owners, limits and records the board can see.

  • Speed of decision

    Board papers and reviews prepared in hours.

  • An organisation that keeps up

    Teams trained to run AI in their own work.

Walkthrough

The same request, three ways.

Switch between deployed, specialised and operational AI to see who does the work, how long it takes and what keeps it safe.
closeweave.ai/leadership/walkthroughIllustration

The request

MessageChair of the board

Agenda item for the next meeting

Which AI work do we fund, fix or stop?

One paper, with owners and numbers.

Show it handled by

Autonomy level 1

Deployed AI

A chat assistant. Someone asks, it answers, people do the rest.

  1. A person types

    What are the best AI use cases for a mid-sized manufacturer?

  2. AI replies

    Popular use cases include predictive maintenance, demand forecasting, quality inspection and customer service chatbots. Start with a pilot to prove value.

  3. Person

    Strategy team. Spends weeks gathering numbers from each department for a slide deck.

3 steps · one to a person · weeks of work

How long
Weeks of work
Who does the work
Managers collect and compile
What keeps it safe
None: ideas without your numbers
What goes to people
Everything

Autonomy level 2

Specialised AI

It works from your data and tools and prepares the work. A person approves.

  1. Trigger

    The quarterly AI review is on the board calendar.

  2. Tools
    finance.costs("AI") · processes.measures(owners) · risk.register("AI")

    Returned: Nine AI initiatives. Three in daily use with measured savings; four pilots with no owner; two with open risk items.

  3. AI replies

    A board paper with one line per initiative: owner, baseline, measure, monthly cost, risk and autonomy level, with fund, fix or stop proposed for each.

  4. Person

    COO. Reviews the paper and changes two recommendations.

    Edited
  5. Action

    Paper issued with the decisions requested.

5 steps · one to a person · two days of the COO's time

How long
Two days of the COO's time
Who does the work
AI compiles; leadership decides
What keeps it safe
Every figure linked to its source
What goes to people
Every decision

Autonomy level 3

Operational AI

It runs the process within set limits, logs every step and hands people the exceptions.

  1. Trigger

    Monthly, from live process measures.

  2. Rule

    Every AI process has an owner, a baseline, a measure and a budget.

    Anything without an owner is flagged; anything over budget for two months is flagged.

  3. Action

    Portfolio view updated; stalled pilots flagged to fix or stop.

  4. Person

    Exception: goes to a person

    Executive team. Two pilots have no owner, so the executive team decides: one is fixed with a named owner, one is stopped.

    Approved
  5. Record

    [1st of the month]Decisions, owners and budgets kept in the AI register.

  6. Report

    Quarterly to the board: return by process, open risks, and what was stopped.

6 steps · one to a person · hours each month

How long
Hours each month
Who does the work
AI keeps the portfolio current; leaders decide
What keeps it safe
A register, owners, budgets, board oversight
What goes to people
Every investment decision

Controls

Owner
Chief operating officer
Measure
Return per AI process
Limit
No process without an owner and a budget
Log
The AI register
Fallback
A manual quarterly review
Stop
Any owner can pause their process

Illustrative: names, figures and timings are invented.

Illustration: The board asks which AI work to fund, fix or stop. Shown three ways: Deployed AI, Specialised AI, Operational AI.

Where to start

Processes that pay back first.

Each at the autonomy level we recommend. Starting points, not case studies: we confirm each one with your numbers.

  • 1Assist

    An AI portfolio review

    Where it pays back today, and where it never will.

  • 1Assist

    Process selection and business cases

    Leaders choose; we bring the numbers.

  • 2Automate with approval

    AI governance and policy

    Owners, limits and records.

  • 2Automate with approval

    Board and investor reporting

    Drafted from live measures.

  • 3Run with exceptions

    A monthly AI operating rhythm

    Reviews that prepare themselves.

  • 2Automate with approval

    Team training by department

    Each team learns to run AI in its own work.

What we build and run

Built in your systems, run with your team.

  • An AI portfolio review with a ranked plan
  • Governance: owners, limits, a register and a policy
  • A reporting rhythm built on live measures
  • Team training by department

What we measure

Numbers you already track.

  • Return per AI process
  • Share of AI spend in daily use
  • Pilots stopped or scaled
  • Risks opened and closed
  • Teams trained

The Academy

Learn to run it yourselves: the Leadership track.

Choose where AI pays back, govern it, and fund it like any other investment.

Being built

See the Academy

Other divisions

PreviousLegal & riskReview, drafting and the rules for everyone else.Next Sales & growthGo-to-market, pipeline and revenue that compounds.

Start with one leadership process.

We map the work, pick the process that pays back first, and run it with your team.
Start a conversationAll divisions