How we work

Managed Intelligence: how every offer is delivered.

Microsoft Copilot (formerly Microsoft 365 Copilot), agents, and automation are becoming part of how work gets done. Centered Networks runs them as one managed service on Microsoft, so every agent has an owner, a set of permissions, and a cost someone is watching.

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Get your 90-Day AI Roadmap

About two weeks, from $7,500.

What Managed Intelligence means for you.

It is the way we deliver every offer: secure the Microsoft foundation first, put Copilot and agents into real work, then keep running what we built.

See every offer with prices

  • One partner, start to finish. Centered Networks sets up your Microsoft environment, builds the Copilot and agent work, and runs it afterward.
  • Controls before anything is turned on. Identity, permissions, and data access are set before Copilot or an agent reaches your data.
  • Kept running after launch. Each production agent we run has an owner, a permission boundary, and a cost we track.

Prepare, Adopt, Agentify, Operate

Four stages, each built on the one before.

Secure the foundation, put Copilot to work, hand repeatable workflows to agents, then run all of it as one managed service.

Six solutions, four rungs, and the two that run underneath. Four rung cards in sequence: 01 Prepare, served by Secure and Govern Microsoft; 02 Adopt, served by Microsoft Copilot; 03 Agentify, served by AI Agents and Automation; 04 Operate, served by Agent Governance and Operations. Beneath them, a navy band spanning all four rungs holds the two solutions that are not a rung of their own: Data and Analytics, which every rung draws on because AI is only as useful as the data it can safely reach, and Azure Applications, which builds what Microsoft 365 alone cannot. The band is drawn under all four rungs because both are used at every stage rather than at one.

Six solutions. Four rungs.

Four solutions each serve one rung. Two are not a rung at all. They run underneath every one.

  1. 01 Prepare

    Secure & Govern Microsoft

    Make the foundation trustworthy first.

  2. 02 Adopt

    Microsoft Copilot

    Put Copilot into real work.

  3. 03 Agentify

    AI Agents & Automation

    Govern one workflow end to end.

  4. 04 Operate

    Agent Governance & Operations

    Run AI as a managed capability.

Used at every rung, not at one

Data & Analytics. AI is only as useful as the data it can safely reach.

Azure Applications. Build what Microsoft 365 alone cannot.

01 Prepare

Get Microsoft 365 in order.

AI inherits the permissions, data quality, identity controls, device posture, and information architecture that already exist. We secure and govern the Microsoft environment before those conditions are amplified by AI.

Secure & Govern Microsoft

Typical work

  • Microsoft 365 security baseline
  • Entra identity and Conditional Access
  • Intune device management
  • Defender protection
  • SharePoint and Teams permissions
  • Microsoft Purview data governance
  • AI readiness and policy

02 Adopt

Put Copilot to work.

A license does not create adoption. We identify where Copilot can materially improve work, prepare users and data, deploy the right controls, establish enablement, and measure whether usage is translating into value.

Microsoft Copilot

Typical work

  • Copilot readiness
  • Role and scenario mapping
  • Rollout and change management
  • Work IQ and organizational knowledge readiness
  • Adoption measurement
  • Governance and admin settings
  • Business-value review

03 Agentify

Hand repeatable work to governed agents.

We identify processes where an agent or automation can perform meaningful work, then build the solution around approved data, tools, and systems with appropriate human checkpoints.

AI Agents & Automation

Typical work

  • Workflow discovery
  • Copilot Studio agents
  • Power Automate and Power Platform
  • Microsoft Foundry and Azure AI
  • Line-of-business integrations
  • Testing and evaluation
  • Deployment and release management

04 Operate

Keep it secure, current, and reported to your board.

Production AI changes. Models change. Permissions change. People leave. Workflows evolve. Costs move. Agents accumulate. Managed Intelligence gives the environment an operating discipline after deployment.

Every production agent gets a clear owner, identity, permission boundary, and purpose. Spend is tracked and tied to business value. Then we expand what works, fix what drifts, consolidate duplication, and retire what no longer earns its place.

Agent Governance & Operations

Typical work

  • Agent inventory and ownership
  • Identity and access
  • Governance zones and policies
  • Runtime security
  • Usage and performance monitoring
  • Cost and consumption management
  • Lifecycle and change control
  • Adoption and ROI reviews

The next operating layer

Managed IT is still necessary. It is no longer sufficient.

Managed services remain the foundation: endpoints need protection, identities need control, systems need to stay available, and users still need support. What changes in the AI era is the object being managed.

A traditional managed service asks, “Is the technology running?” Managed Intelligence also asks who owns each agent, what data and tools it can reach, which actions need human approval, what it costs to run, and what outcome it produces.

Managed IT operates

  • Users
  • Endpoints
  • Infrastructure
  • Applications
  • Security events
  • Tickets

Managed Intelligence operates

  • Organizational knowledge
  • Copilots
  • Agents
  • Agent identities
  • Data and tool access
  • AI usage and spend
  • Human approval patterns
  • Output quality
  • Business outcomes

Centered Networks combines both layers so your AI strategy is not disconnected from the Microsoft environment it depends on. For the longer argument about where the managed-services category is heading, read the MIP position paper.

One governed platform is better than an AI tool pile.

Centered Networks anchors Managed Intelligence in Microsoft because the platform already connects identity, productivity, data, security, automation, and cloud infrastructure. The goal is not to force every use case into one product. It is to reduce unnecessary seams between the systems that know who a user is, what data they can access, what an agent can do, and how the work is governed.

  • Microsoft 365
  • Microsoft Entra
  • Microsoft Intune
  • Microsoft Defender
  • Microsoft Purview
  • Microsoft Copilot
  • Copilot Studio
  • Power Platform
  • Microsoft Fabric
  • Microsoft Azure
  • Microsoft Foundry

Microsoft Solutions Partner with five designations, including Data & AI. We helped design and build the National Mall Gateway on Microsoft Azure for the Trust for the National Mall.

  • Data & AI (Azure)
  • Digital & App Innovation (Azure)
  • Infrastructure (Azure)
  • Modern Work
  • Security

Who it is for

Designed for organizations that cannot afford either extreme.

You do not need an army of AI specialists. You also cannot treat AI like an unmanaged collection of personal tools. Centered Networks is built for organizations that need the same controls a large enterprise runs, delivered in a way that fits a lean team or a one-person IT department, especially nonprofits, foundations and grantmakers, and rural healthcare.

Start with the next decision, not the final architecture.

Your first step might be Microsoft 365 readiness, Copilot adoption, a production agent, or bringing agents you already have under control. The Opportunity Finder points to that first move in three minutes. The 90-Day AI Roadmap turns it into a written plan, with the dependencies that have to be handled first.

Take the three-minute Opportunity Finder Get your 90-Day AI Roadmap

The Finder takes three minutes and asks for no email. The Roadmap is a paid engagement of about two weeks.