So you want to deploy
AI agents in production.
Microsoft, Anthropic, Google, and OpenAI are rolling out managed agents, plugins, and connectors that can autonomously interact with your business systems. Most organisations have no idea where to start — or what can go wrong. These guides exist to change that.
WorkflowOS — fork it, self-host it, ship it for clients
PSF Workflow Studio is our free reference implementation: canvas, PSF scoring, AI heal, and exportable deployment packages. MSPs and integrators can run it on their own infrastructure — no licence fees, full source on GitHub.
Star on GitHubChoose the evidence path before the agent goes live.
The deployment guides are free to read. The next step is deciding whether this is a readiness check, client service, organisation rollout, or external assessment.
I deploy for clients
Turn agent demand into a defensible client service.
Use the practice pack to structure readiness checks, M365 agent rollouts, controls, and ongoing governance around the PSF.
Get MSP launch pack →I have a live agent
Get the deployment reviewed before it becomes a dependency.
Use DSA when an agent can touch customers, systems, private data, or operational decisions.
Scope a DSA →I am building now
Benchmark readiness while the design is still movable.
Run the Agent Readiness Index before the agent becomes a production dependency that is harder to change.
Run readiness index →I manage rollout
Make agent deployment an organisation programme.
Use the organisation path when deployment needs roles, training, policy, and evidence across more than one team.
Choose org path →Deployment Guides
AI Agents Decoded
What managed agents, plugins, and connectors actually mean for your business — without assuming prior AI engineering depth.
Deploying Claude Agents Safely
From API setup to production — tool use, guardrails, human oversight, monitoring, and PSF compliance. A practitioner can follow this end-to-end.
Deploying OpenAI Agents Safely
Agents SDK with guardrails, interrupts, tracing, and PSF alignment — from zero to production in one walkthrough.
Microsoft 365 Agent Deployment
The complete step-by-step playbook for MSPs deploying AI agents in Microsoft 365 environments — from tenant readiness to live monitoring.
Every guide is PSF-aligned
The Production Safety Framework (PSF) is PAI's open standard for production AI. All deployment guidance in this section maps directly to PSF domains — so you're not just deploying fast, you're deploying safely.
Certification tracks for deployers
More guides coming
We're building out the full library of production deployment guides. On the roadmap:
- Google Workspace agent deployment playbook
- Salesforce Einstein / CRM agent deployment
- Open-source agent stacks (LangGraph, CrewAI) in enterprise environments
- AI agent deployment for regulated industries (financial services, healthcare, legal)
- Multi-agent orchestration safety patterns
Have a use case you need covered? Tell us what you need.
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