Knowledge agents
Retrieve, synthesize, and explain trusted organizational information for staff, boards, partners, or customers.
Agentify
Turn repeatable work into governed digital capacity.
Centered Networks identifies the workflows worth agentifying, builds production agents and automations on the Microsoft platform, connects them to approved knowledge and systems, and puts human judgment where the work requires it.
Build around work, not demos
The question is not “where can we use an agent?”
The better question: which work is repetitive enough, valuable enough, and governable enough to deserve one?
We prioritize workflows where an agent can create meaningful capacity without introducing more complexity than it removes.
Good candidates often have
- Repeatable inputs
- Clear source information
- Defined outputs
- Known business rules
- Measurable cycle time or workload
- A clear human owner
- A sensible approval boundary
Common agent patterns
Six patterns that show up across organizations.
Most agents assist and prepare work for people. Some act within defined controls. The default progression is assist → prepare → act with controls—not autonomy for its own sake.
Intake and triage agents
Classify requests, gather context, route work, and prepare the next action for a person or system.
Research and preparation agents
Collect information, summarize evidence, prepare drafts, and reduce the time before a human decision.
Workflow agents
Coordinate multi-step work across Microsoft 365, Power Platform, approved APIs, and line-of-business systems.
Reporting agents
Assemble recurring operational information, identify exceptions, and prepare leadership-ready updates.
Specialized role agents
Support a specific department or function with a tightly scoped purpose, data boundary, and owner.
Production discipline
An agent is a software system with a job description.
01
Define the job
Document the business outcome, owner, inputs, outputs, success measures, and actions the agent is allowed to take.
02
Define the knowledge boundary
Identify the Microsoft 365 content, structured data, APIs, and tools the agent can use—and what it must never access.
03
Build and connect
Use Copilot Studio, Power Platform, Microsoft Foundry, Azure, and approved integrations based on the workflow.
04
Evaluate
Test quality, grounding, permissions, edge cases, failure behavior, and business acceptance before production deployment.
05
Add human checkpoints
Require approval for high-impact, external, financial, sensitive, or irreversible actions where the process demands it.
06
Deploy and measure
Launch with an owner, environment, telemetry, support path, and criteria for expansion or retirement.
Microsoft platform
Build agents where identity, data, security, and work already meet.
Centered Networks uses the Microsoft platform to minimize unnecessary seams. Technology choice follows the workflow, governance needs, and operating model—not a desire to force every problem into the same tool.
- Microsoft 365 Copilot
- Copilot Studio
- Power Automate
- Power Apps
- Microsoft Teams
- SharePoint
- Microsoft Graph
- Microsoft Foundry
- Azure AI services
- Microsoft Fabric
- Line-of-business systems and APIs
Human-in-command by design
More autonomy should be earned, not assumed.
Agents can prepare, recommend, retrieve, transform, and in some cases act. The right degree of autonomy depends on the consequences of a mistake.
The objective is not maximum autonomy. It is the right autonomy for the risk and value of the workflow.
We design controls around the work
- Read-only vs. write access
- Internal vs. external communication
- Reversible vs. irreversible actions
- Sensitive-data exposure
- Financial authority
- System-of-record changes
- Required approvals
- Logging and auditability
After the first build
The first successful agent creates the next governance question.
Once agents multiply, organizations need inventory, ownership, identities, policy, cost controls, runtime protection, lifecycle, and performance management.
That is why every production build should have a path into Managed Intelligence rather than becoming another abandoned automation.
How to start
Three starting points, one path in.
You know the workflow
Bring the process, the pain point, and the desired outcome. We will determine whether an agent is the right mechanism.
You know you want agents but not where
Start with a workflow opportunity assessment inside the 90-Day AI Roadmap.
You already have several agents
Skip “build another one.” Start by bringing the current estate under command.
Find the workflow where an agent can earn its place.
The 90-Day AI Roadmap identifies the workflows worth agentifying, the dependencies to handle first, and the controls each build should carry.