Training and adoption · wGrow Since 2008

Build the workflow.
Develop the team's ability.

People need to understand the work, question the output and handle the exceptions. We connect learning to the systems being deployed and scope the programme around the responsibilities your team will hold.

Learning inside real work

Give people a task
they can demonstrate.

A useful learning objective describes something a person can do: prepare a report from approved sources, identify missing information, reject an unsupported conclusion or recover a failed run through an agreed procedure.

Start with the company's current abilities and the proposed operating model. Agree the audience, exercises, access and evidence of competence alongside implementation. Questions raised during practice can reveal improvements needed in the interface, instructions or workflow itself.

wGrow offers practical workshops and embedded coaching grounded in the Codex and Claude desktop/CLI workflows we use most often. Learning for leaders, business operators and technical owners is scoped around their responsibilities. The audience, practice tasks and expected abilities are agreed before delivery.

Explore engineering training and coaching

The adoption loop

From watching a demo
to owning the work.

Practise, review and demonstrate. Keep learning as the real work changes.

Sponsor
Sets priorities and boundaries
Operator
Checks work and exceptions
Technical owner
Maintains and recovers
  1. 01

    Practise the task

    Use approved examples in a suitable environment. Include normal work and difficult cases.

  2. 02

    Inspect and question

    Check sources, product facts and missing information. Return or escalate weak output.

  3. 03

    Demonstrate the role

    Complete a task, spot a problem and show the correct next action.

  4. 04

    Operate and learn

    Use the agreed instructions. Feed failures, questions and changes into the next practice.

Gaps return
to practice

If a run fails

  1. Pause the task
  2. Check what changed
  3. Recover or escalate
  4. Re-test before continuing

Follow the agreed procedure and the named owner's authority.

Illustrative learning approach, scoped to each team's responsibilities. A demonstration checks competence; attendance alone does not establish it.

Different roles, clear abilities

Prepare the people who own the change.

Leaders and sponsors

Choose useful priorities, assign ownership and give people time to practise. Understand the boundaries of AI's authority and the evidence needed before expanding its use.

Demonstrate: explain the intended change, unresolved risks, operating responsibilities and the criteria for continuing investment.

People using the workflow

Prepare appropriate inputs, inspect supporting information and decide when a result needs correction or review. Practise normal work and the exceptions that matter to the business.

Demonstrate: complete a task, spot a planted problem and use the correct escalation route.

Technical owners

Understand the components they maintain: access, configuration, integrations, evaluations and recovery. Know how a proposed change is tested and approved before release.

Demonstrate: locate a failed run, identify its impact and follow the agreed pause or recovery procedure.

Practical tool and workflow exercises

Learn the tools.
Practise the judgment.

Use Codex and Claude in desktop and CLI environments, including Claude Code, at a depth appropriate to each role.

A process owner can review a guided desktop task and its source material. An engineering team can investigate a real ticket, review a proposed change and run the relevant checks through its CLI workflow. Each exercise should demonstrate a responsibility the participant will actually hold.

  • Coordinate an agentic team. Assign research, implementation and review tasks; inspect the handoff and resolve a missing or conflicting result before proceeding.
  • Correct the memory. Find an outdated instruction or project fact, identify its scope and update the approved source. Check that the next run uses the corrected information.
  • Test the context budget. Compare a focused task brief with an overloaded one. Examine quality, missing context, token usage and the information worth retaining.
  • Handle secrets and data locality. Identify material that may be shared, inspect the tools and services involved, and practise withholding or routing restricted information through the agreed environment.
  • Review and recover. Reject a flawed output, investigate an unavailable tool and follow the agreed pause or recovery procedure.

These exercises are adapted to the client's environment and approved information. Local-model exercises use an appropriate self-hosted model and are scoped separately from the hosted models used by desktop or CLI services.

See tools, agentic teams and private AI

An illustrative exercise

Practise the difficult case too.

Imagine a team preparing a recurring customer report. In the first exercise, the operator assembles a draft and checks its evidence. In the next, a source is missing or two figures conflict. The participant must decide whether to correct the input, request clarification or stop the report.

A further exercise makes an integration unavailable. Can the operator tell whether the task stopped or partly completed? Who checks before retrying to avoid duplicate records? These are hypothetical exercises to adapt to the client's actual work.

Use approved, protected examples and an appropriate practice environment. Keep consequential live actions behind the agreed permissions and review points. Assessment should test the responsibilities a person will hold; attendance alone does not establish readiness.

Make everyday use supportable

Plan the handover
and what follows.

A company without an IT department can appoint a business workflow owner and agree technical maintenance with a provider. Separate daily review from infrastructure and integration maintenance so responsibilities match people's abilities.

Agree operating instructions, known limitations, access responsibilities, evaluation cases and recovery guidance. Define who investigates failures, approves changes and manages third-party charges. Support arrangements and transfer rights belong in the engagement scope.

After release, provide for new-staff onboarding and changes in business rules. Review actual usage, corrections, reviewer effort, failures and cost alongside turnaround. If people repeatedly bypass the workflow, investigate the reason before calling adoption successful.

Plan the people and the system together.

Tell us who will use the workflow, who reviews its outputs and who will maintain it. Those answers help define a practical implementation and learning plan.

Discuss your team

How we work · Company case studies

Read the training-through-deployment guide · AI FDE overview

wGrow · Since 2008

Bring the business.
Let's shape what comes next.

Tell us about your people, systems and operating priorities. We can discuss the right starting point and a scoped path towards AI-native working.

Discuss your business

Scope, fees and responsibilities agreed
before diagnostic or implementation work.