Board pressure is real
Every nonprofit, foundation, and rural hospital board now expects an answer to “what’s our AI strategy?” Most leadership teams don’t have one. We give them one in two weeks, with measurable KPIs and a 90-day roadmap.
Pillar · AI and intelligent operations
Governed Copilot. Custom agents. Operated for outcomes.
Centered Networks is the AI pillar for mission-driven organizations: strategy, governed Microsoft 365 Copilot deployment, custom AI agents, and Microsoft Agent 365 operations for nonprofits, foundations, and rural hospitals.
Two weeks. No commitment beyond insight. Not ready to talk? Get the “Before You Enable Copilot” guide first →
Why now
Why AI, and why now
Boards are asking about AI. Donors are asking about governance. Staff are already using ChatGPT. The gap between AI curiosity and AI operations is governance, and that gap is widening every quarter peers move first.
Shadow AI accumulates risk
Staff aren’t waiting. They’re pasting donor data, patient details, and grant narratives into consumer AI tools every week. Every day without a governed alternative is a day that liability compounds.
Microsoft pivoted in May 2026
Microsoft 365 E7 (the Frontier Suite) and Agent 365 went GA on May 1. Microsoft’s own partner guidance now states it plainly: every Copilot deployment needs agents attached and governed through Agent 365. Most partners are retrofitting that message; we don’t have to.
What we deliver
From first pilot to intelligent operations
From the first Copilot pilot to organization-wide intelligent operations: governed end-to-end on Microsoft’s AI stack.
Microsoft 365 Copilot
We deploy Microsoft 365 Copilot as a structured engagement, not a license switch: identity, data classification, sensitivity labels, and conditional access in place from day one. Staff adoption and usage analytics included.
Custom agents in Copilot Studio
Pre-built agent kits for mission-sector workflows: donor intelligence, intake processing, knowledge management, board reporting; built in Microsoft Copilot Studio and tuned to your processes.
Microsoft Agent 365 governance
Every agent runs under Microsoft’s agent control plane: observability, lifecycle, identity, and policy; so you know what each agent has access to, what it’s doing, and how to roll it back.
Azure AI Foundry & Azure OpenAI Service
When custom AI applications are the right answer, we build them on Microsoft Azure with the same governance posture: data residency, content safety, audit trails, cost controls.
Responsible AI policy
A board-ready governance framework adapted from Microsoft’s nonprofit guidance: data protection, sensitivity labels, audit trails, and the policy your trustees, funders, and regulators expect.
Measurable outcomes
Every engagement starts with KPIs and ends with the data to prove them. Hours saved, cases routed, denial appeals filed, board reports drafted: specific outcomes you can take to leadership.
The agent spectrum
Three classes of agent, and where you should start
Microsoft defines three classes of agent, each with different complexity, governance, and time-to-value. Most mission-driven organizations should start at the left and graduate as governance matures.
I.
Start here
Retrieval agents
Pull information from designated sources: policies, board documents, FAQs, knowledge bases. Low risk, no-code, immediate value.
Examples: Policy lookup, board document finder, grant-guideline FAQ, internal knowledge search.
Built in: Microsoft Copilot Studio (no-code).
II.
Graduate to
Task agents
Execute defined workflows with human oversight: intake processing, donor outreach, report generation. Medium complexity, structured handoffs.
Examples: Intake form processing, donor outreach drafting, board report assembly, denial-appeal drafting.
Built in: Copilot Studio with connectors, Dynamics 365 agents.
III.
Build toward
Autonomous agents
Operate independently, learn from interactions, make routine decisions inside guardrails. High complexity: requires the security and data foundation we build first.
Examples: Full case management, adaptive donor engagement, autonomous program routing.
Built in: Pro-code on Microsoft Azure AI Foundry and Microsoft Agent 365.
Our take: Most nonprofits and rural hospitals should start with one or two retrieval agents (quick wins, low risk, immediate value) and graduate to task agents as governance matures. Autonomous agents require the identity, data classification, and responsible-AI foundations we close in every engagement before they go live.
90-day path
From insight to impact, in four phases
We meet you where you are on the AI path, whether that’s exploring Copilot Chat informally or scaling agents across departments.
-
01
Weeks 1–2
Discover
Agentic Discovery Sprint: top AI use cases, governance readiness assessment, 90-day roadmap with measurable KPIs. No commitment beyond insight.
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02
Weeks 3–8
Secure
Close the governance gaps: identity, data classification, sensitivity labels, conditional access, responsible-AI policy. This work has standalone value.
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03
Weeks 8–12
Deploy
First agents go live: Microsoft 365 Copilot with guardrails, or a custom workflow agent for your highest-impact use case. Staff adoption support, usage analytics, governance monitoring.
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04
Ongoing
Scale
Managed intelligence: agent lifecycle, new use cases, Copilot expansion, security uplift, configuration management. The evolution from managed services to making the organization smarter every quarter.
Named offerings
Three productized services in this pillar
Three productized services that ladder up to the AI pillar. Start with the Discovery Sprint; the other two follow naturally.
Discovery Sprint
Two-week Agentic Discovery Sprint. Top use cases, governance readiness, 90-day roadmap with measurable KPIs. The starting point for every new AI conversation.
See the Discovery Sprint →Copilot Quickstart & Guardrails
Structured Microsoft 365 Copilot deployment: readiness, permissions remediation, Microsoft Purview governance, pilot, and adoption; with Microsoft Agent 365 set up for every agent that comes after.
See Copilot Quickstart →Agent Kits
Six pre-built agents for mission-sector workflows: donor intelligence, intake routing, knowledge keeper, research assistant, constituent support, board reporter. Ship faster than custom builds; configurable to your processes.
See Agent Kits →Microsoft alignment
We deploy what Microsoft ships
We don’t make AI up. We deploy what Microsoft ships, configured for mission-driven accountability.
- Microsoft Agent 365: the agent governance and lifecycle control plane (GA May 1, 2026). Every agent we deploy is observed, governed, and revocable.
- Microsoft Copilot Studio: the no-code-to-pro-code platform for retrieval, task, and autonomous agents.
- Microsoft Azure AI Foundry & Azure OpenAI Service: the foundation for custom AI applications, with data residency and content safety configured to your sector.
- Microsoft 365 Copilot & Copilot Chat: we meet you where you are, from the free Copilot Chat tier to the Microsoft 365 Copilot license to the Frontier Suite (M365 E7).
Proof
National Mall Gateway, a Microsoft Customer Story
We built the National Mall Gateway, the digital civic education platform for America’s 250th anniversary, on Microsoft Azure for the Trust for the National Mall. The platform serves 360-degree virtual tours, lesson plans, custom itineraries, and accessibility-first features to an expected 50 million visitors during 2026. We developed a custom generative AI model in Microsoft Foundry to draft educational resources from vetted National Park Service content, and built the infrastructure with Terraform for near-instant disaster recovery. The project is featured as a Microsoft Customer Story.
Start with a Discovery Sprint.
Two weeks of structured discovery that ends with a 90-day roadmap and measurable KPIs. We identify your highest-impact AI use cases, assess governance readiness, and define the path to production. No commitment beyond insight.