Run Your Agentic Organization With Control
We help you know every agent you run, keep each one within scope and give your developers a safe place to build. One fixed monthly fee.
What holds AI back?
AI is growing without control
Experiments are spreading faster than governance.
The data isn't ready
Access, quality and ownership get in the way.
Pilots get stuck
Moving from demo to production is difficult.
The foundation is missing
AI needs somewhere secure and governed to run.
Which situation sounds like you?
Two common starting points, each with a recommended first step.
What is AI-as-a-Service?
For organizations deploying AI agents across the business.
A service, not a project
- Know every agent you run. Which agents are live, their identities, lifecycle and what each one costs to operate
- Agents act within scope. Authorized across defined systems, escalating to a person when needed, every action logged
- A safe place to build. Secure development environments, with cost tracking for AI development
- One fixed monthly price. A packaged service, with licenses available through CSP
Who it's for
Designed for organizations that:
- Want to move from AI experiments to business value
- Need secure, governed and scalable AI
- Want to connect AI to their data and business processes
- Require responsible AI and data sovereignty
- Lack the people to build and run AI themselves
Typical use cases
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Typical use cases include AI-powered customer service and employee support.
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AI can automate document processing, streamline operational workflows and support software development.
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These use cases apply across organizations of all sizes, from SMBs to large corporations and the public sector.
What the service covers
Five building blocks for governing and operating AI across your organization.
Agent management
Know which agents are running, who owns them and what they cost.
Agent authorization
Control what agents can access and what they are allowed to do.
Development environments
Give your developers governed environments in which to build and test AI.
Data security and compliance (optional)
Protect the information that AI and users can access across Microsoft 365.
Capacity and licenses (CSP)
Manage the Microsoft services and capacity your AI environment depends on.
Find your starting point
Start with your leaders, with the agents you already run or with the platform you will build on. Each step sets the route and the cost model for the service. Not sure where AI fits yet? Start with AI Advisory.
AI Readiness Workshop
2 half days · Fixed price
See where you stand across all five areas, and what to fix first.
Agent Estate Discovery
2 weeks · Fixed price
Most organizations can't say how many agents they run. You get a named list.
Microsoft Foundry Landing Zone
3 weeks · Fixed price
Pilots that skip the platform get rebuilt later. Build the foundation once.
AI Advisory
Workshops and advisory
Not sure where AI fits yet? Our AI advisors help you find the use cases worth pursuing and plan the route, from first pilots to agents.
How the service works
We start by assessing your AI environment and agreeing what needs to come under management. After onboarding, we run it for you as one service. The monthly fee depends on your scope and is confirmed after the assessment.
- Identify your existing agents and their owners
- Agree which parts of your AI environment we manage
- Establish agent identities, access rules and lifecycle controls
- Configure agreed development environments
- Set up monitoring and reporting
- Maintain your agent inventory and ownership records
- Manage identities and permissions
- Monitor usage, failures and costs
- Enforce human approvals and log agent activity
- Govern AI development environments
- Manage capacity and licenses
- Oversee costs, consumption and governance
- Regular service reports
- Option: data security and compliance controls
AI, governed for the real world
AI-as-a-Service is designed around the controls organizations need as AI moves from experimentation into everyday use: clear ownership, controlled access, governed environments and visibility of usage and cost.
Know what's running
Maintain visibility of agents, their identities, owners, lifecycle and operational costs.
Control what agents can do
Set authorization boundaries, log activity and define when human intervention is required.
Give developers a governed place to build
Provide secure development environments with the Microsoft services, capacity and controls teams need.
Trusted by
Frequently asked questions
AI-as-a-Service
Do you build AI agents for us?
What's the difference between AI-as-a-Service and an AI project?
Can we use agents built by different teams or partners?
How do you control what an agent is allowed to do?
Do we need to move our Microsoft licenses to Innofactor?
Can we build the service as we go?
Where do you stand with AI?
Book an AI Readiness Workshop: two half days at a fixed price. You leave knowing where you stand and what to fix first.
Webinars, blogs and articles
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