Your clients already need answers on Copilot, agents, shadow AI, data use, and governance. PAI gives your firm the service catalogue, credentials, templates, WorkflowOS path, and Integrator review model to turn that pressure into scoped work instead of losing the conversation to a consultant.
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.
The first buyer question is rarely "which model should we use?" It is "can we approve this safely, explain it to leadership, and know who is accountable after launch?" That is the professional-services layer MSPs can own.
PAI provides the standard, the credentials, and the delivery kit. You bring the client relationships and the capability to execute.
Build the roster the Integrator programme reviews: AIDA across technical staff (target ≥25%), at least one CPAP portfolio holder, and AIMA for a team lead or manager. CAOP and CAIA still matter for client delivery roles.
When your roster meets the published Integrator thresholds (≥25% AIDA among technical staff, ≥1 CPAP, ≥1 AIMA-certified lead), start your integrator subscription, then apply for Certified AI Integrator (CAI) status — an organisation-level review against the same criteria on the Integrator page.
Use PAI deployment playbooks, the PAI-8 assessment methodology, and client-facing documentation templates to deliver work with clearer scope and stronger evidence.
PAI gives you the frameworks, language, and methodology to package engagement types with clear scope, defined deliverables, and defensible pricing, all backed by a published standard.
PAI publishes the AI Data Use Index — weekly analysis of material vendor AI and data-use policy changes. Package that research plus governance templates and a Copilot readiness checklist for clients (see AI Governance Policy Pack and AI Monitoring Retainer below).
Six ready-to-sell engagement types with defined scope, deliverables, and indicative pricing. All backed by PAI standards and methodology. Add your margin and go.
Based on a modest 5-client portfolio, with each client taking a readiness assessment and at least one further engagement. No assumptions beyond mid-range pricing.
Use it to brief the owner, sales lead, or practice head on what the first AI service line could look like: named offers, first client email, pricing examples, ROI framing, and the 30-day launch path.
Open the ad-grade business case page →See every document and template in the full toolkit catalogue →
Certified AI Integrators get access to everything below. This is an operational toolbox: download, rebrand, and deliver tomorrow. Members receive ongoing updates as workflows, controls, and platform capabilities change.
You don't need to be an MSP. If you're a consultant, IT freelancer, AI specialist, or someone who wants to build a solo AI deployment practice — everything here applies to you. The CAOP credential, the M365 playbook, the proposal templates, the client comms kit.
The toolkit is designed so a solo practitioner can package readiness, deployment, and monitoring work into a coherent practice instead of improvising each engagement from scratch.
Certified AI Integrator applications are reviewed against a staff credential roster and supporting organisation evidence. No shared logins are needed: each practitioner keeps their own PAI account and credential ID, while the firm submits the evidence required for programme review.
That keeps the review concrete. PAI can check the roster against the credential registry, assess the programme requirements, and issue the organisation-level documentation appropriate to the result.
You don't need to wait for CAI status to start. Here's what you can do in the next 5 days.
Structured so every role in your MSP has a clear credential — from a junior engineer to the firm itself.
AI services are becoming a meaningful practice extension for MSPs as clients move from experimentation into deployment. Firms that can connect technical delivery with clear governance and assurance language will be better placed to answer that demand credibly.
PAI provides the shared base layer: the standard, the methodology, the credentials, and the supporting toolkit. Partners still bring their own delivery capability and client relationships.
The aim is practical: help clients move from vague AI interest to work that can be scoped, delivered, and inspected against a stable external reference.