AI Workforce Enablement

Teams that hand real work to AI.

Most teams use AI for emails and summaries. Twistag helps finance, operations, sales and strategy teams hand AI whole pieces of work, such as the analysis, the model, the deck or the internal tool, with people reviewing and deciding.

Rows of empty office desks seen from above
Why enablement

Most companies have AI licences. Far fewer have changed how the work gets done.

  • 01Licences bought, usage flat. A few enthusiasts, everyone else back to old habits.
  • 02Gains that stay with individuals. Nothing is shared, so nothing compounds.
  • 03No evidence for the board. Leadership cannot show what the spend returned.
How it works

From chat to delegation, one team at a time.

The programme changes how each team works: which work goes to AI, what context it needs, and who reviews the result.

  1. 01Workflow shortlistThe frequent, painful and reviewable work in each team.
  2. 02Workspace set-upFiles, connectors, instructions, permissions and guardrails.
  3. 03Hands-on labsTeams bring real work, delegate it, review it and improve the loop.
  4. 04Shared skills and agentsWorkflows that work become reusable skills for the whole company.
  5. 05Review habitsWhat good output looks like and who signs it off.
  6. 06MeasurementUsage, work delegated, time saved and quality, tracked per team.
Example dashboardLast 90 days

Usage the board can see

78%of people active weekly
269pieces of work delegated
1,240 hsaved, team estimates
4.6 / 5reviewer rating
Work delegated per week
5 teamsBaseline taken in week 1
How it runs

Six to twelve weeks, set by the teams taking part.

Each team starts with its own work in the first week. The programme closes with a review of what was delegated and what comes next.

Teams taking part
6 weeks
Find the workInterviews and a shortlist per team
Set up the workspaceConnectors, permissions, guardrails
Hands-on labsReal work, delegated and reviewed
Shared skillsWorking workflows made reusable
Measure and reviewWhat changed and what is next
A sponsor in leadershipSets the ambition and reviews the results.
Time from each teamRegular lab sessions during the programme.
Access to the AI tools in useOr a decision on which ones to adopt.
After the programme

Go deeper, govern it or keep it going.

Questions

About workforce enablement.

Which AI tools does it use?

The ones the company already has, such as ChatGPT, Claude, Copilot or Gemini. Where no tool is chosen yet, the programme starts with that decision.

Is this a training course?

It is a change in how the work is done. Teams leave with real work already delegated and the habits to keep going.

Which teams benefit most?

Teams with frequent, context-heavy work that a person can review: finance, operations, sales, marketing, strategy and HR.

How is company data kept safe?

Permissions, connectors and guardrails are set up before the first lab, inside the company’s own tenant.

How is the impact measured?

Usage, pieces of work delegated, time saved and quality signals per team, against a baseline taken in the first week.

What does it cost?

Cost follows scope: the number of teams and how deep the programme goes. A proposal follows within a week of the first call.
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