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How we work

Plan, test and
implement AI.

Test the value before scaling up. Build the software and operating process together, with practical training and clear responsibilities for your team.

[Start with a conversation]
A useful first engagement

Start with one
business problem.

Agree a bounded scope and the evidence needed for your next decision. Choose a useful first deliverable:

  • A workflow assessment to understand the work.
  • A tested proof of concept to assess the idea.
  • A practical operating plan to prepare for use.

Each should have standalone value, even if you stop there.

What changes between a prototype and production?
  • Proof of concept. Test an idea and expose its limits. A promising prototype informs a decision.
  • Production. Add the integration, controls, user testing and support needed for everyday use. The prototype is not a finished implementation.
The READY framework

Check your
AI readiness.

Decide whether and how to implement AI. Muuvment’s READY framework checks five areas before you commit to a build.

  • Regulatory

    Which rules apply? Check privacy, internal policies and how AI is already being used.

  • Execution

    What should come first? Choose work that can realistically be built, run and verified.

  • Accountability

    Who is responsible? Name the tool owner, approvers, reviewers and people who handle issues.

  • Data

    Is the information ready? Check its location, reliability, access and permitted use.

  • Yes

    Will people use it? Build support, identify champions and train the team to address resistance.

Turn the findings into a practical roadmap: priorities, gaps, owners and the next steps before implementation.

[Discuss your AI readiness]
Our proprietary development process

From requirements.
To reliable operation.

Our proprietary process draws on AI development since late 2022 and products in production. Three steps connect your requirements to a system your people can use.

Specify the work.

Define the workflow, permitted information, review points and acceptance tests. Agree what the tool must do and how your team will judge the result.

Build for your environment.

Our forward deployed engineers connect the workflow to your systems, configure its information boundaries and review the implementation with your team as it develops.

Validate and monitor.

Check outputs, select models for the task and monitor the system in use. Repeat evaluations when models, sources or workflows change.

Our five-stage method

Five stages from
scope to handover.

Use the evidence at each stage to proceed, change direction or stop.

  1. Qualify

    01

    Understand the work, its owner and a useful baseline.

    What you take forward: A scored shortlist of use cases and an agreed first scope.

  2. Prove

    02

    Test the uncertain parts with representative, permitted inputs.

    What you take forward: A working prototype, test results and known limitations.

  3. Decide

    03

    Compare the evidence with the objective and costs.

    What you take forward: A business case and delivery roadmap for the next investment.

  4. Embed

    04

    Integrate the tool, test with users and prepare the operating process.

    What you take forward: An integrated workflow, operating instructions and agreed monitoring.

  5. Handover

    05

    Train the team and agree documentation, responsibilities and support.

    What you take forward: A handover pack, named owners and an agreed support arrangement.

What a working system connects

Approved inputs.
Defined tasks.
Reviewed outputs.

  1. 01

    Approved inputs

    Choose permitted documents, data and sources. Establish versions and access rules.

  2. 02

    A defined task

    Set the criteria, instructions, tool permissions and checks that guide the software.

  3. 03

    Reviewed outputs

    Provide usable results and visible evidence. Keep the required decisions, corrections and approvals with people.

The software is part of the change

Prepare for
everyday operation.

  1. 01

    Measure the whole task.

    • Effort and quality. Measure preparation, execution, review and correction against an agreed baseline.
    • Cost and benefit. Compare the benefit with implementation and ongoing costs.
  2. 02

    Design the controls.

    • Boundaries. Agree permitted information, access, review and escalation.
    • Testing. Use representative examples, known answers and difficult cases.
  3. 03

    Build the team’s capability.

    • Builders. Train on real work in Claude Code and Codex.
    • Users. Learn to operate the finished tools.
    • Owners. Document the process and agree maintenance, changes and continuing support.
  4. 04

    Keep it working after launch.

    • Monitor. Track quality, running cost and failures.
    • Re-test. Check changes to models, sources and workflows against the standard your team relies on.
Choose the delivery support

A full build,
a shared team
or a specialist.

We deliver the implementation.

Free your team to focus on the business. We manage the agreed scope, regular reviews and handover.

Fixed-cost delivery can be agreed where the scope supports it.

We build alongside your team.

Add engineers, designers and quality assurance to one delivery team.

Use your process or establish it together. Share knowledge as the system takes shape.

We add a specialist.

Fill a specific skills or capacity gap with the expertise your project needs.

A focused addition, without assembling a whole new function.

Working alongside your team

Engineers and lawyers
for regulated industries.

  • Engineering support. Our forward deployed engineers build, integrate and hand over tools your team can operate.
  • Legal experience for regulated work. Our senior lawyers help shape workflows around confidentiality, regulatory obligations and professional responsibilities.
Meet the team
Confidentiality / Privacy / Security

Your data.
Your rules.

Set the privacy, security and confidentiality requirements for your team. We assess the hosting, models and controls needed to meet them.

Choose where data runs.

Explore Canadian storage and processing, or an on-premises environment. We check which models and integrations can support your requirements.

Control access and decisions.

Decide who can see documents, use tools and approve results. Keep review with the people responsible for the work.

Define how information is used.

Agree what information may be used, how long it is kept and what is logged. Confirm model-provider data-use terms before using sensitive information.

How we confirm the deployment

Before launch, we map storage, model processing, backups, logs and third-party access. The chosen tools must support your requirements. Canadian hosting alone does not mean every model call is processed in Canada.

Our principles

What we stand for.

Security & privacy.

Protect sensitive information through clear access controls, careful data handling and deployment choices that fit your requirements.

Compliance by design.

Build applicable requirements and reviewable records into the work from the start.

Reliable in practice.

Test real workflows, monitor performance and make limitations clear.

Responsible by choice.

Consider bias and wider impacts, keep people accountable and support the system beyond launch.

Let’s put it to work

What should work better?

You do not need a fully defined project. Tell us what you want to improve.

[Discuss your project]