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.
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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 approachIllustrative 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.
Maturity model
AI / Automation Maturity
Expanding scope and responsibility
- 01
Personal
Support individual tasks safely and effectively.
Outcome
Better individual work
- AI literacy
- Prompt and verify
- General AI tools
- 02
Team
Shared workflows, specialist tools and reliable practice.
Outcome
Shared practice and tools
- Role workflows
- Specialized agents
- Champions and community
- 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
- 01People
- 02Work
- 03Technology
- 04Trust
- 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- 01Outcome
- 02Audience
- 03Knowledge
- 04Authority
- 05Controls
- 06Evaluation
- 07Lifecycle
- 08Ownership
Agents / Published Insight
From agent prototype to production
Eight decisions that separate a convincing demonstration from an operable system.
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