AI Services for MSPs
AI services your clients want to buy.
AIINX gives MSPs a complete AI service catalogue — from first conversation to ongoing managed services. Everything is structured to be sold, scoped, and delivered to your customers.
Custom AI solutions, not just tool resale
Co-delivery, if you want to build capability
No channel conflict. Ever.
The gap isn't demand. It's delivery.
Most MSPs are already having AI conversations with clients. Clients want practical outcomes. They want to know how AI fits into their specific workflows, what it will actually cost, and who’s responsible when something needs fixing. That’s a services conversation, not a software pitch.
AIINX fills the delivery gap. We give you a structured set of AI services you can take to market immediately — backed by real consulting and technical capability, delivered white-label through your business.
What your MSP can sell
Advisory engagements are low-risk for the client, easy to scope, and create a natural path to project work. They’re a billable entry point that builds trust before any technical commitment is made.
AI Opportunity Assessment
A structured review of a client’s business to identify where AI can reduce cost, increase throughput, or improve outcomes. Delivered as a written report with prioritised recommendations.
AI Use Case Workshop
A facilitated session with the client’s leadership or operations team to map workflows, surface AI opportunities, and align on priorities. Typically a half-day or full-day engagement — with a tangible output the client can act on.
AI Readiness Review
An honest look at a client’s data environment, systems, and internal capability. Identifies what’s in place, what’s missing, and what needs to be resolved before implementation begins.
ROI & Prioritisation Roadmap
Takes the findings from an assessment or workshop and turns them into a phased plan — with effort estimates, expected returns, and a clear recommended starting point.
Custom AI Solutions
The project work. Once a client knows where they want to go, AIINX designs and builds the AI solution — custom to their workflows, their data, and their environment. Not off-the-shelf. Not a generic deployment. Built for how that specific business operates.
Internal Knowledge Assistant
A custom AI tool that lets a client’s team query internal documentation, policies, past projects, or knowledge bases using natural language. Reduces time spent searching, chasing, and repeating the same questions.
Document Automation
AI-powered processing for high-volume document workflows — extraction, classification, routing, and summarisation. Common in finance, legal, professional services, and operations-heavy businesses.
Workflow Agents
Intelligent automation for multi-step business processes. Connects systems, handles decision logic, and reduces manual hand-offs — without the fragility of traditional rule-based automation.
Service Desk AI
A triage and routing assistant for IT or customer support teams. Handles first contact, collects context, resolves common issues, and escalates intelligently — freeing your engineers for higher-value work.
Customer Support Assistant
A client-facing AI that handles common queries, maintains consistent response times, and escalates edge cases to the right person. Designed to support the human team, not replace it.
Industry-Specific Solutions
Custom AI builds for vertical use cases — legal document review, healthcare workflow support, field service dispatch, financial reporting automation, and more. Scoped around the client’s specific context, not a generic template.
We work the way you need us to
White-Label Delivery
AIINX operates in the background. You lead the account, own the relationship, and present the work. Your client never needs to know we exist.
Co-Delivery
We work directly with your team — on strategy, design, and implementation. Good for building internal confidence while still getting complex projects over the line.
Capability Transfer
As you grow, we help you take on more. We share frameworks, processes, and working methods so your team can eventually lead delivery independently.
Implementation & Governance
Getting it built properly — and keeping it safe. AIINX handles the technical architecture, integration, and deployment work, with governance and compliance built in from the start. This isn’t an afterthought. It’s how projects stay on track and clients stay confident.
Solution Architecture
Design of the full AI solution — model selection, data flow, integration points, system dependencies, and scalability considerations. Documented and reviewed before a line of code is written.
Integration & Deployment
Connection of AI components to the client’s existing systems — CRM, ERP, document management, communication tools, and cloud infrastructure. End-to-end deployment with testing and sign-off.
Governance & Compliance
Frameworks for responsible AI use — data privacy, access controls, audit trails, model transparency, and regulatory alignment. Increasingly important for clients in regulated industries.
Human-in-the-Loop Design
Workflow design that keeps humans appropriately involved — review checkpoints, escalation triggers, override mechanisms, and accountability structures. Because AI that removes all human judgement usually causes more problems than it solves.
Why governance matters
Clients are increasingly asking about AI risk — especially in healthcare, legal, finance, and government-adjacent sectors. MSPs who can answer those questions confidently win deals others lose.
Managed AI Services
Ongoing support, optimization, and continuous improvement for AI solutions in production. This is the recurring revenue layer — and it’s where a one-off project becomes a long-term managed service relationship.
Ongoing Optimisation
Regular review and improvement of AI solution performance — prompt refinement, model updates, workflow adjustments, and output quality monitoring.
Monitoring & Support
Active oversight of AI systems in production. Identifies issues before they become client problems. Includes alerting, incident response, and regular health checks.
Model & Prompt Tuning
Incremental improvement of AI outputs over time as client data, workflows, and expectations evolve. Keeps solutions performing at the level clients expect.
Continuous Improvement Planning
Roadmap-based planning for what comes next — new use cases, expanded scope, additional integrations. Keeps the client engaged and the revenue growing.
