AI Services

AI for businesses that need to do it right the first time.

Your team is already using AI. The question is whether they're using it safely. Most companies have no policy, no governance, no role-based access, and at least one staff member pasting client data into a free chatbot. We are the AI partner for companies that want to move fast without breaking security, compliance, or their reputation.

Most AI adoption is going badly. The reasons are predictable.

Every company we talk to has the same story. Someone discovered ChatGPT, then someone else discovered Claude, then someone in marketing built a workflow in a free trial of an automation tool, and now there are seven AI tools in active use that nobody approved. Client data is moving through systems IT has never reviewed. Vendors are training on your information by default in some cases, by accident in others. There is no policy that distinguishes the AI tools that are safe to feed proprietary data from the ones that are not. There is no audit trail. And if you asked your compliance officer to map AI usage across the company, the answer would be a shrug.

This is not because your team is reckless. It is because AI tooling moved into the workplace faster than IT could write policy for it — and the AI vendors did not slow down to wait. The result is a real exposure that few SMBs are addressing: data leakage to model providers, compliance debt that surfaces in your next audit, vendor lock-in to whichever consumer tool an enthusiastic department happened to standardize on.

The companies that get this right move deliberately. They establish policy, pick the right tools with the right contracts, train their people on how to use them, and build the muscle to evaluate new AI capabilities as they emerge. That is what we help you do.

Our edge: we are not an AI startup pivoting into consulting. We are a managed service provider with the security and compliance stack already running for clients today — SOC 2 alignment, HIPAA-ready environments, MFA everywhere, EDR on every endpoint. AI adoption layered onto that posture is straightforward. Doing it without the foundation is where companies get hurt.

Three ways we help.

From "we have no AI program" to "our whole team is fluent" — three engagements that work together or independently, depending on where you are.

01 / Onboarding

AI Onboarding

From zero to your first running AI pilot in 90 days — with policy, governance, and trained users in place before you scale.

Readiness assessment
Tool selection & vendor contracts
Security & access controls
Guided first pilot project
Documentation & handoff

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02 / Training

AI Training

Role-based programs your team will actually use. Execs, managers, and frontline staff each get curriculum built for what they do.

Executive AI literacy
Manager deployment workshops
Frontline tool training
Live + hands-on labs
On-demand reinforcement modules

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03 / Courses

Interactive Courses

Self-paced courses built around the work people actually do — finance, support, sales, ops, governance. Practical exercises, real tools.

AI for Finance Operations
AI for Customer Support
AI for Sales Teams
Prompt Engineering for Knowledge Workers
AI Risk & Governance for Managers

View catalog

Why this works coming from an MSP.

Most AI consulting firms come from a strategy background. They are good at decks and frameworks. They are not, generally, good at the day-two operational reality of running AI in a business — the access reviews, the identity provisioning, the vendor contract renewals, the compliance evidence collection. Those are MSP problems, and they are the problems that make or break the AI program six months in.

We run those problems for our clients every day for the rest of their IT environment. Adding AI is a natural extension. When we deploy Microsoft Copilot for your finance team, we have the Conditional Access policies ready to scope it. When we set up Claude for your support team, we already manage the IdP that controls SSO into it. When the audit comes — and it will — we have the logs and the policy documents because we already do that for everything else.

Founder background matters here.

This work is led personally by Mark Slyder. Twenty-five years in IT, including roles as CTO at Portfolio and Divisional CIO at Protective — large, regulated environments where AI now is the same conversation security was a decade ago: high stakes, fast-moving, easy to do wrong. The strategic side of AI adoption — what to commit to, what to defer, where to spend, where to wait — benefits from someone who has had to make those calls at scale.

The AI projects we help clients run.

To give you a concrete sense — these are the actual project types we onboard, train for, and build courses around.

Internal AI assistants on private knowledge. Your policies, your procedures, your SOPs — accessible to staff through a secure chat interface that can answer questions without anyone leaving the platform or pasting confidential text into a public tool.
Ticket triage and routing. Inbound support requests classified, prioritized, and routed automatically. Saves the most senior people from being the routers.
Document review and summarization. Contracts, policies, RFPs, audits — first-pass review and structured summaries delivered to the human reviewer with the right questions already flagged.
Sales enablement at scale. Personalized account research, meeting prep packets, and follow-up drafts that respect your brand voice and stop at the line where a real human needs to take over.
Finance and ops automations. Invoice processing, expense classification, anomaly detection, monthly close acceleration — using n8n + Claude or equivalent stacks, with audit trails built in. We also offer this as a dedicated execution service under AI & Automation.
Customer-facing AI carefully. Where it makes sense — and only where it does. We are explicit with clients that a public-facing chatbot is rarely the right first project, and we will tell you when it is not.

What we will not do.

The hard lines that keep our AI work honest.

We will not train foundation models for you.That is a different business and a different cost structure. If you need a custom model trained from scratch, we will tell you so and refer you. Most companies do not need this.
We will not build a customer-facing chatbot as a first project.The data, the risk, and the brand exposure are wrong for a starting point. We will help you do it as a third or fourth project once you have the muscle for it.
We will not deploy AI into environments without MFA on identity.If you have not enforced MFA, that is the first project — not an AI one. Identity is the door AI walks through.
We will not advocate for a single vendor.Our recommendations rotate based on what your environment, regulatory scope, and use case need. We have no resale relationships that distort that.
We will not promise an AI replaces a human in a critical decision loop.It augments. We will architect for that distinction and push back on engagements where the request is to fully automate a high-stakes judgment call.
We will not promise return-on-investment numbers we cannot verify.The "AI savings calculator" is industry theater. We will tell you what the realistic ROI window looks like for the use case we are scoping and let the engagement prove it.

Common questions

It depends entirely on which version of which tool, which account tier, and how your people use it. The free consumer version of ChatGPT trains on your inputs by default. The Enterprise and Team tiers don't. Claude's API has zero data retention available for business accounts. Most companies we onboard have no policy distinguishing these, and staff are pasting client data into whichever tool they signed up for personally. Step one of safe adoption is auditing what your team is actually using and getting on the right tier with the right contractual terms.

Most AI consultants build strategy decks. We build running systems. We come from an MSP background — security, identity, compliance, day-to-day delivery — so the AI work we do plugs into a real operating environment from day one. That means policy, access controls, vendor contracts, and audit trails are part of the engagement, not an afterthought.

That's the engagement we do best. Compliance posture is our default — we run the SOC 2 / HIPAA / PCI / CMMC stack for clients already. AI onboarding for a regulated client looks different: BAA-eligible AI vendors, audit-logged access, data-residency review, role-based prompt restrictions, retention controls. We've built this playbook for healthcare-adjacent firms, claims operations, and financial services groups. Tell us your regulatory scope on the first call and we'll outline what's specific to you.

No. We don't train foundation models, build a model from scratch, or develop AI products for resale. That's a different business. What we do: help your company adopt existing best-in-class AI tools (Claude, ChatGPT Enterprise, Microsoft Copilot, Gemini for Workspace, n8n, etc.) safely and effectively in your operations.

Our 90-day onboarding takes a company from no formal AI program to one running pilot with documented policy, secure tooling, and trained users. Faster is possible for narrow use cases; longer is appropriate for broader rollouts across multiple departments. The 90-day target is intentional — long enough to do it right, short enough that momentum doesn't die.

We're actively pursuing CE accreditation for the role-based courses; the AI Risk & Governance course in particular has demand from finance and compliance professionals. Today, completion certificates are issued and accepted by most employers for internal professional-development tracking. We'll publish accreditation status on each course page as it lands.

Onboarding engagements start at five users — below that, the policy and governance overhead doesn't pay for itself. Training and courses have no minimum. A one-person operation can sign up for the role-based courses tomorrow. We've found the strongest fit is companies with 15 to 500 employees that are seeing real AI use in the org and want to put structure around it before it becomes a liability.

Yes. The AI services engagement doesn't require switching your IT vendor. We operate as a specialty advisory alongside whoever is running your IT — coordinating on access controls, identity, and security tooling so the AI program plugs into your existing setup cleanly. Plenty of our AI engagements are with companies whose general IT is handled internally or by another MSP.

Twenty minutes to talk through where you are.

No deck. No sales pressure. We'll map your current AI exposure, the lowest-hanging projects, and what an engagement would actually look like.

Book a 20-minute call See the 90-day framework