The GitHub Copilot harness changes the unit economics of an agent
A six-driver model for forecasting and controlling Copilot Credit consumption before a reasoning-heavy agent reaches production.
Decision-led field notes
Practical decisions for AI systems that have to survive real work.
These Insights help leaders choose operating patterns, evidence, controls and delivery paths for AI, automation and applications. Each article is built around a concrete buyer decision.
The GitHub Copilot harness changes the unit economics of an agent
A six-driver model for forecasting and controlling Copilot Credit consumption before a reasoning-heavy agent reaches production.
Read the InsightStart here
Four decision frameworks
These foundations define the Amplified Pi approach to strategic AI rollout.
- 01 / 25 Apr 2026 From agent prototype to production: eight decisions the demo does not answer A practical eight-boundary production gate for deciding whether an AI agent is ready to become an operated business system.
- 02 / 2 May 2026 Copilot usage is not adoption: an evidence model for changed work A five-level evidence model for separating Copilot access and activity from changed work, business outcomes and durable capability.
- 03 / 9 May 2026 AI governance as a control plane, not a wall A workload-based AI governance model connecting risk to environment, identity, data, action, release and operational controls.
- 04 / 16 May 2026 Prompt, workflow, application or agent? Choose the smallest reliable pattern A practical uncertainty-authority matrix for deciding whether a use case needs a prompt, deterministic workflow, business application or AI agent.
All field notes
Decisions from the field
Sorted by publication date. New entries move to the front automatically.
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Vibe coding is an opportunity, if the evidence grows with the system
A four-zone model for turning AI-generated prototypes into supported enterprise applications without confusing speed with production readiness.
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Sensitivity labels are not required for Copilot, but they can be useful
A four-condition test for deciding whether sensitivity labels materially improve Microsoft 365 Copilot protection in your organization.
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September 2026 Copilot decision briefing: three changes that require action
A dated enterprise briefing on Copilot human approval, agent cost evidence and the move to Microsoft's AI at Work roadmap.
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What agentic AI means operationally, and what it does not
A six-part operational test for distinguishing agents from chat, search and deterministic workflows and selecting proportionate controls.
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Managed app, Power App or custom code? Choose the runtime before the demo
An eight-factor architecture scorecard for choosing a conversationally generated app, Power App, custom code or a deliberate hybrid.
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When native Copilot is enough and when a specialist agent earns its complexity
A five-rung escalation ladder for deciding between native Copilot, configuration, extension, specialist agent and custom application.
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A preview is not a rollout: an enterprise gate for early AI capabilities
A six-gate model for deciding whether an AI preview should be explored, piloted within limits or not deployed.
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What an AI-built business application still needs before release
An eight-part release packet for accepting AI-built business applications based on evidence rather than a successful demo.
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Publish Copilot Studio agents to SharePoint without making admins permanent co-owners
A role-separated release swimlane for moving Copilot Studio agents through environments and into an approved SharePoint site.
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SharePoint skills: when document work should become a reusable process asset
A five-condition test and worked contract-review example for turning recurring SharePoint document work into a governed skill.
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Roll out Copilot in SharePoint site by site, not as one tenant-wide experience
A site-readiness scorecard for sequencing Copilot in SharePoint across ready, remediate, restrict and retire decisions.
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Inventory before policy: govern the workloads that actually exist
A decision-grade inventory model for connecting every agent, app and flow to ownership, consequence and proportionate controls.
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AI-assisted Power Platform development needs stronger ALM, not weaker ALM
A practical control model for integrating AI coding tools into Power Platform source control, review, testing and deployment.
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Natural-language app building does not remove the production gate
A seven-part production gate for turning a conversationally generated app into a supported enterprise application.
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Agent skills are versioned operating procedures, not longer prompts
A practical skill contract and lifecycle for turning repeatable work into governed Microsoft 365 Copilot agent capabilities.
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Where should the human approval sit in an AI-assisted workflow?
A practical consequence-boundary model for deciding which AI workflow steps should be automatic, validated, human-reviewed or prohibited.
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Before deploying a desktop agent, map the authority you are delegating
A six-field authority record for piloting Microsoft Scout and other desktop agents across files, commands, browsers and Microsoft 365.
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Copilot Credits are an operating constraint, not a finance footnote
A practical operating model for forecasting Copilot Credits, setting spending boundaries and designing safe behavior when capacity is exhausted.
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Prompt, workflow, application or agent? Choose the smallest reliable pattern
A practical uncertainty-authority matrix for deciding whether a use case needs a prompt, deterministic workflow, business application or AI agent.
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AI governance as a control plane, not a wall
A workload-based AI governance model connecting risk to environment, identity, data, action, release and operational controls.
-
Copilot usage is not adoption: an evidence model for changed work
A five-level evidence model for separating Copilot access and activity from changed work, business outcomes and durable capability.
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From agent prototype to production: eight decisions the demo does not answer
A practical eight-boundary production gate for deciding whether an AI agent is ready to become an operated business system.
No field notes match this selection.
Publication standard
Every Insight combines original practical judgment with named authorship, visible publication dates, primary sources for changing claims and explicit limits. English and German editions share the same evidence while being written independently for their readers.