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AI consulting and implementation for organizations

Turn AI strategyinto operationalresults.

We help organizations prioritize AI opportunities, equip their teams and integrate reliable solutions into everyday work.

From strategy and secure foundations to implementation and operation.

For leaders in AI, transformation, IT and operations, working with people and change teams.

Your starting point

Where does your AI work stand?

Start with the issue you need to resolve. Each service can be a focused engagement; you can start with the services you need.

  • Many ideas. No clear priorities.

    AI strategy and opportunity

    A prioritized opportunity portfolio and a practical plan for the next decisions.

    Explore AI strategy
  • A rollout is approaching. Data and access are unclear.

    AI readiness and foundations

    A defined readiness assessment, prioritized actions and clear rollout conditions.

    Explore AI readiness
  • Tools are available. Everyday work has barely changed.

    AI enablement and adoption

    Role-based practice, supported learning and a way to assess what changes in the work.

    Explore AI adoption
  • A workflow or prototype needs to work reliably.

    Agents, automation and applications

    A bounded solution, evaluation criteria and responsibilities for operation.

    Explore implementation
  • AI is growing faster than ownership and controls.

    Governance and scale

    Clear decision rights, proportionate controls and a manageable lifecycle.

    Explore governance
  • Microsoft is in place. Its AI and automation tools need to work together.

    AI & Automation with Microsoft

    A modular route through platform selection, information protection, adoption and implementation.

    Explore the Microsoft offering

A tangible result

Something you can make a decision with.

A useful engagement leaves you with clear priorities, explicit conditions and an agreed next step. The exact outputs depend on the work we scope together.

Strategy informed by implementation.

The work combines experience with Microsoft technologies in enterprise environments, organizational change and practical engineering. Technology choices follow the problem.

Experience and approach

Illustrative example with fictional data

Decision record

Internal knowledge search

A team wants to find approved process guidance more easily.

Opportunity
Help colleagues find a relevant source and verify the answer.
What needs checking
Content ownership, access permissions and the quality of the source material.
Decision
Prepare a bounded pilot. Resolve source ownership and permissions before testing with users.
What would justify the next step
Representative questions, traceable sources, agreed evaluation criteria and a named operational owner.
An example of the decision structure, not a client result or a guarantee of performance.

Working together

From the next decision to implementation.

We agree the outcome, scope and responsibilities with your team. Strategy, technical delivery and changed working practices stay connected.

How we work
  1. 01

    Clarify and prioritize

    Choose the problem, establish the available evidence and agree a useful next decision.

  2. 02

    Prepare and implement

    Resolve the prerequisites, build or configure the solution and evaluate it with your team.

  3. 03

    Embed and improve

    Support everyday use, establish operational ownership and review the results.

Across every phase

An agreed outcome and clear responsibility

Maturity model

AI / Automation Maturity

Expanding scope and responsibility

  1. 01

    Personal

    Support individual tasks safely and effectively.

    Outcome

    Better individual work

    • AI literacy
    • Prompt and verify
    • General AI tools
  2. 02

    Team

    Shared workflows, specialist tools and reliable practice.

    Outcome

    Shared practice and tools

    • Role workflows
    • Specialized agents
    • Champions and community
  3. 03

    Organization

    Cross-functional systems with clear ownership and appropriate controls.

    Outcome

    Operational capability

    • Portfolio and platforms
    • Automation and complex agents
    • Governance and outcomes

Runs through every level

  1. 01People
  2. 02Work
  3. 03Technology
  4. 04Trust
  5. 05Outcomes

Not every use case needs to progress to the next level.

Insights

Insights for your next AI decision.

Practical perspectives on implementation, adoption and governance.

All Insights
  1. Enablement / Published Insight

    Copilot usage is not adoption

    An evidence model for repeated work beyond licence and activity reports.

  2. Governance / Published Insight

    Governance as a control plane

    Risk-based controls connected to delivery instead of a wall around it.

Contact

Let’s clarify your next step.

Tell us where you are and what needs to change. We will discuss whether and how Amplified Pi can help.

info@amplifiedpi.com