Strategic AI implementation
Strategy stays close to the people building and operating it.
Amplified Pi exists to close the gap between AI ambition, organizational change and production reality. The same technical judgment remains present from the first portfolio decision through delivery and handoff.
Anton Picard
Anton
Picard
Founder / technical lead
Anton works across enterprise operations, Microsoft Cloud architecture, AI adoption and hands-on engineering. He stays involved from problem framing and executive decisions through architecture, implementation, enablement and operational handoff.
His experience spans Microsoft 365 operations, identity and access, Power Platform, Copilot introduction, adoption and governance, process automation, applications and agent-based systems. He has worked with operational owners, executives, IT, security, compliance, data protection and works councils, including in regulated enterprise environments.
Technical work includes Microsoft 365, SharePoint, Entra ID, Power Platform, Dataverse, Copilot Studio, Azure services and custom applications using TypeScript and Node.js. Tools are selected according to the work, with ChatGPT, Claude and other platforms considered where they fit better.
Anton began his professional path in enterprise IT in 2017 and completed vocational training as an IT specialist for systems integration with distinction. He works in German and English.
Connected expertise
- 01 AI strategy, opportunity portfolios and outcome models.
- 02 AI literacy, adoption, champions and communities of practice.
- 03 Microsoft Copilot, Copilot Chat and Copilot Cowork rollout considerations.
- 04 Copilot Studio, Power Platform, Azure and custom agent architectures.
- 05 Identity, access, data readiness, governance and production lifecycle.
- 06 Executive advisory connected to architecture and hands-on implementation.
How Amplified Pi works
- Outcome before product
- The work begins with the operational result and the behavior that must change, not a predetermined vendor or tool.
- Embedded delivery
- Work happens with the client team in the real environment so constraints surface early and capability remains after handoff.
- People and system together
- Enablement, workflow design, technology and governance are treated as parts of one operating change.
- Evidence over theatre
- We make assumptions visible, distinguish illustration from proof and do not manufacture client claims or guaranteed returns.
Where the work is strongest
- A sponsor can connect AI activity to a meaningful business priority.
- Operational owners and representative users can participate.
- Technology choices remain open to evidence.
- The organization wants an owned result, not only a strategy presentation or isolated demo.
Next step