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AI Accelerator
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AI Accelerator Program vs. Traditional AI Training

Training hands your people certificates. The AI Accelerator hands your leadership team a prioritized roadmap and a decision matrix, in one day to two weeks - not a deployed system. Two different purchases, each solving a different problem.

The AI Accelerator is a workshop priced by format, starting at $4,500 and running up to $22,000 for the Multi-Session Sprint, that turns AI debate into a prioritized 12-month roadmap, a build vs. buy vs. integrate decision matrix, and a leadership alignment deck - in one day to two weeks. It does not build or deploy a system; that is the separate C.O.R.E. implementation engagement, which the Accelerator fee is credited toward if you proceed. Traditional training teaches skills and certificates to individuals with no roadmap or vendor-fit output. If you need leadership aligned on what to build and in what order before you commit budget, the Accelerator does that. If you need broad AI literacy across the organization, training is the better and cheaper spend.

Feature ComparisonAI AcceleratorRecommendedTraditional AI Training

Frequently Asked Questions

What is the real difference between an AI accelerator and AI training?

Training teaches your people concepts and hands them a certificate. The AI Accelerator is a fixed-price workshop that gets your leadership team in a room and out the other side with a prioritized 12-month roadmap, a build vs. buy vs. integrate decision matrix, and a deck ready for your board - in one day to two weeks. Neither one deploys a system by itself: training leaves implementation entirely to your team, while the Accelerator leaves you with a vetted plan and a defined next step (the C.O.R.E. build engagement) if you choose to proceed. Plenty of training vendors are part of the AI hype machine too - a certificate is not proof anything changed at work; a plan your leadership actually agrees on is a start.

When is traditional AI training actually the better spend?

When the goal is general AI literacy across the organization, not a prioritized plan or a path to a specific system. If you want a broad group of employees comfortable using AI tools in their day-to-day - writing, research, analysis - training or self-paced courses do that well and cost less per person than a workshop. Training is the wrong tool when what you actually need is leadership alignment on what to build first and in what order - that is what the Accelerator produces, not a training course.

Will our team learn anything, or do we just get a document we can't act on?

The roadmap and decision matrix are built live, in the room, with your leadership team - not handed to you afterward. That is deliberate: alignment has to happen with the people who control budget and priority, or the plan dies in the next leadership meeting like every AI debate before it. The Accelerator does not build or deploy a system - it produces the plan for one. If your team executes that plan internally, or brings it to us for the C.O.R.E. build, the roadmap is specific enough to hand to either.

How fast does each one produce something real?

The Accelerator produces a prioritized roadmap and decision matrix in one day (the on-site format) to two weeks (the multi-session sprint) - real deliverables, not a deployed system. A production system only ships later, during a separate implementation engagement, if you choose to proceed. Training produces a certificate at course end, and any real-world result depends on trained staff finding time to apply the skills back at their job - often months out, and sometimes never, because the day job crowds it out.

How does the pricing model differ?

The Accelerator is priced by format, starting at $4,500 for the Virtual Primer, $12,500 for the On-Site Accelerator, and $22,000 for the Multi-Session Sprint - tied to a workshop deliverable, with the fee credited toward the C.O.R.E. build if you proceed to implementation. Training is priced per seat or per course, tied to attendance rather than to any plan or system. Two different things are being bought: one is a vetted plan with a path forward, the other is knowledge.

Can training alone get us to a deployed AI system?

Rarely, on its own. Training gives people the skills, but building a production system also requires scoping the workflow, prioritizing by ROI, deciding build vs. buy vs. integrate, and getting leadership aligned enough to fund it. The Accelerator closes the planning half of that gap - the roadmap and decision matrix - in one day to two weeks. The C.O.R.E. implementation engagement, which the Accelerator fee credits toward, closes the rest: the actual build and deployment.

Stop paying for software. Start paying for outcomes.

See exactly why forward-thinking enterprises are choosing Revenue Institute over alternatives like Traditional AI Training.