AI Solutions That Actually Belong to You
Most MSPs resell AI. We build it. Owned by you. Built for your business.
Your MSP is probably selling you someone else’s AI platform.
Here’s what’s happening right now across the MSP industry: they license a white-label AI platform, slap their logo on it, and call it “managed AI.” You get a dashboard you didn’t ask for, agents built on someone else’s infrastructure, and a monthly fee that hides their markup on every token your team uses.
You’re not buying a solution. You’re renting a tenant account on a platform you don’t control, from a vendor who doesn’t understand your business, managed by an MSP whose primary skill is reselling.
That’s not AI strategy. That’s a channel partnership dressed up as innovation.
The platform play is a trap. Here’s why.
- Your data lives on their infrastructure. Every query, every document, every agent interaction flows through a third-party platform. You don’t own the pipeline — you’re a subscriber to it.
- Token costs are hidden in your “managed” fee. The MSP marks up the platform, the platform marks up the LLM API, and you have no visibility into what you’re actually paying for. When usage scales, so does their margin.
- You can’t customize what you don’t own. White-label platforms give you a builder with predefined blocks. If your workflow doesn’t fit their template, you work around it — or pay for a “custom integration” that’s really just a workaround.
- You’re locked into their roadmap. They decide what gets built next. Not you. If their next update breaks your agent, you wait in their queue. If they sunset a feature, you retrain your team.
- Multi-tenant means multi-risk. Your client’s AI shares infrastructure with dozens of others on the same platform. One tenant’s breach, one model’s hallucination, one API’s outage — and your reputation takes the hit.
Sound familiar? It should. It’s the same managed services model that got us here — just with AI attached.
We don’t resell platforms. We architect solutions.
Leap Cloud Solutions has spent 21 years building, managing, and securing IT infrastructure for Vancouver’s most demanding businesses — law firms, accounting practices, healthcare providers, and regulated industries where “good enough” costs clients six figures.
That means when it comes to AI, we don’t reach for a vendor’s off-the-shelf platform and call it a day. We start with your business. Your workflows. Your compliance requirements. Your data. And we build something that fits — something you own.
What changes when you own your AI infrastructure
You Control the Stack
We design and deploy AI solutions on infrastructure you own — your cloud, your models, your data pipelines. No third-party platform sitting between you and your intelligence layer. When you need to scale, modify, or shut something down, you make the call.
You Control the Costs
Eliminate the double-markup: no platform fee layered on top of token costs. We size your infrastructure to your actual usage, and you pay for what you run — not what a vendor’s pricing table says you should. Our clients typically see 40–70% reduction in per-task AI costs versus platform-based solutions.
You Control the Security
Your data doesn’t transit through a multi-tenant provider’s API gateway. We architect isolation at the infrastructure level — your models, your vectors, your access controls. For regulated industries, this isn’t a nice-to-have. It’s the difference between compliance and a breach notification.
You Control the Future
Platform vendors pivot. They get acquired. They change pricing. When your AI is built on your own infrastructure with your own integrations, you’re not at the mercy of someone else’s product roadmap. You evolve on your timeline.
Managed AI Solutions — Built, Not Resold
- AI Strategy & Readiness Assessment — We map your workflows, identify where AI delivers measurable ROI, and build a deployment plan tied to your business outcomes — not a vendor’s feature list.
- Custom AI Agent Development — Purpose-built agents integrated directly into your existing systems. Your CRM, your document management, your internal tools. No adapter plugins. No workarounds.
- Private Model Deployment — Run fine-tuned models on your own infrastructure. Your training data stays yours. Your prompts don’t leave your environment. Your output is auditable and repeatable.
- Enterprise Knowledge Integration — Connect your AI to your actual business data — contracts, client records, SOPs, historical decisions. Not a generic knowledge base you have to maintain. Your institutional knowledge, operationalized.
- AI Governance & Compliance — Audit trails, access controls, usage monitoring, and policy enforcement built into your architecture. Designed for legal, healthcare, accounting, and financial services from day one.
- Infrastructure Management & Monitoring — We manage the entire stack — models, pipelines, APIs, infrastructure — with 24/7 monitoring, automated scaling, and performance optimization. You get AI that works, not AI that needs a team.
- Shadow AI Remediation — Your team is already using AI tools. We bring that usage under governance — secure, monitored, and integrated — instead of blocking it and losing productivity.
- Ongoing Optimization & Training — Models degrade. Workflows change. We continuously monitor performance, retrain when needed, and keep your AI solutions aligned with how your business actually operates.
Why this isn’t something every MSP can offer
Because it requires something most MSPs don’t have: vertical integration across the entire technology stack.
Most MSPs are specialists in one layer — endpoints, network, security, cloud. They manage what vendors give them. When AI comes along, they partner with a platform because building custom solutions requires depth across infrastructure, data architecture, application development, and security — simultaneously.
We’ve built that depth into our model. We don’t just manage your systems — we architect them. From the network layer up through application logic and AI inference, we understand how every piece connects. That’s what lets us build solutions that are genuinely custom, not configured.
The difference between configured and custom is the difference between a tenant and an owner.
You don’t need another product — you need a partner
Platform Reseller Model
- Platform license: $X/month
- MSP markup: +30-50%
- Token costs: pay-per-use, opaque pricing
- Custom integration: $15K–$50K+
- Data residency: vendor’s infrastructure
- Ownership: none. You’re a tenant.
- Exit strategy: migrate everything. Again.
Leap Cloud Solutions
- Architecture & deployment: transparent pricing
- Token costs: yours directly, no markup
- Custom integration: built in, not added on
- Data residency: your infrastructure
- Ownership: you own everything we build
- Exit strategy: you don’t need one. It’s yours.
What our clients experience differently
We don’t lead with features. We lead with outcomes. Here’s what happens when you have a partner who understands your business instead of managing a vendor dashboard:
- Faster time to value. We start with your highest-friction workflows — the ones costing you time and money right now — not with a platform onboarding process. Most clients see measurable impact within weeks, not quarters.
- Lower total cost. No platform markup. No per-seat licensing. No surprise token overages. You pay for infrastructure and expertise, and you can see exactly where every dollar goes.
- Actual compliance, not checkbox compliance. Your AI architecture is designed around your regulatory requirements from the ground up — not retrofitted with policy documents after deployment.
- A partner who speaks your language. We’ve spent two decades working with law firms, accounting practices, healthcare providers, and regulated businesses. We understand your constraints because we’ve lived in them.
If you’re already considering AI, ask your MSP these three questions
Before you sign up for “managed AI,” understand what you’re really getting:
- “What platform are you deploying?” If they name a vendor, you’re renting. Ask whose infrastructure your data runs on and whose pricing controls your token costs.
- “Who owns the agents and integrations we build?” If the answer involves a third party, you’re building on someone else’s timeline. Ask what happens if that vendor changes pricing, sunsets a feature, or gets acquired.
- “Can you show me the total cost of ownership, including token usage at scale?” Platform pricing looks competitive at pilot scale. It compounds fast when your team actually adopts the tools. Ask for a 12-month projection at production volume.
If those questions make them uncomfortable, that’s your answer.
Ready to own your AI infrastructure?
We don’t do demos of someone else’s platform. We do consultations about your business — your workflows, your constraints, your goals — and we show you what a solution built specifically for you looks like.
No platform pitch. No vendor agenda. Instead, let’s have a clear conversation about what AI can do for your business, and how much it should cost.
AI shouldn’t cost you control. Let’s fix that.
Whether you’re evaluating your current MSP’s AI offering, starting from scratch, or tired of paying for a platform that treats your business like a line item — we’re here to show you what it looks like when you have a partner who builds instead of resells.
