AI Workforce Enablement

ChatGPT, Claude, Copilot and Gemini, rolled out so teams actually use them.

Most teams use ChatGPT or Copilot 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.

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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
Works with

Works with the LLM tools the company already pays for.

Twistag works inside the tools the company has already licensed, or helps choose one. Every set-up gets the same things: connectors to company data, shared instructions, permissions and review steps.

  • ChatGPT

    Business and Enterprise workspaces, custom GPTs and projects set up around each team’s real work.

  • Claude

    Projects, shared skills and connectors, so the context a team builds once is there for everyone.

  • Microsoft 365 Copilot

    Copilot inside Microsoft 365, using the files, mail and Teams data people already work in.

  • Gemini

    Gemini in Google Workspace, set up for teams that live in Docs, Sheets and Gmail.

When a workflow needs more than a chat window, the same team builds it as an LLM-powered agent. See multi-agent systems

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.

Multi-agent Systems & Agent EngineeringBuild agents for the big workflows

Work that crosses several systems moves from personal delegation to agents that run every day.

Next step Agent Governance & SecurityGovern it

Permissions, audit trails and usage policies as AI use grows across the company.

Next step
Full handoverRun it in-house

A skills library, guides and the measurement dashboard, owned by a network of internal champions.

Questions

About workforce enablement.

Which AI tools does it use?

The ones the company already has: ChatGPT (Business or Enterprise), Claude, Microsoft 365 Copilot or Gemini, or any other LLM the company has approved. If there is no tool yet, the programme starts by helping choose one against the company’s data, security and cost requirements.

Can Twistag roll out ChatGPT Enterprise or Copilot across the company?

Yes. That is most of what this programme is: set up the workspace and permissions, run hands-on labs with each team on its own work, and measure usage and time saved per team, so the licence spend shows a return.

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. The article on what AI enablement is and how to measure it goes through each measure.

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.

Where is Twistag based?

In Lisbon. Labs run on site with teams anywhere in Portugal, or remotely with companies worldwide.
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