AI Transformation Advisory
A 20-point checklist for evaluating AI vendors from an operator’s perspective — because the right technology with the wrong vendor is still the wrong choice.
For each of the 20 items, check the box if the vendor satisfies the criterion. Note any red flag indicators that apply. At the end, total your “Yes” answers and consult the scoring guide.
Time required: 15–20 minutes per vendor if you have access to vendor materials and demo notes. If you cannot answer a question, that itself is a finding — the vendor should have made the answer obvious.
Count the number of checked boxes
This vendor meets the bar across all four dimensions. Proceed to contract negotiation with confidence. Focus negotiation on pricing, SLAs, and exit terms.
Solid foundation but gaps exist. Identify which unchecked items are deal-breakers vs. manageable risks. Request the vendor address gaps before proceeding.
Significant gaps in multiple categories. Consider a limited pilot with defined success criteria before commitment. Look at alternative vendors in parallel.
This vendor does not meet the minimum threshold for a responsible AI deployment. Continuing the evaluation wastes your team’s time. Look elsewhere.
Beyond the item-level red flags above, these patterns emerge repeatedly in vendor evaluations. Any one of these should trigger deeper scrutiny. Two or more should end the conversation.
Every meaningful AI system needs relevant, quality data. A vendor that claims their solution works without your data is either using generic models (limited value) or overselling capabilities. AI without your operational data is just software with a marketing budget.
Vendors who cannot publish a pricing framework are either making it up per deal (inconsistent value), hiding unfavorable economics, or planning to price based on your budget rather than their cost to serve. Transparent vendors publish pricing or at minimum provide a rate card during the evaluation.
AI performance is highly domain-specific. A vendor with zero customers in your industry is asking you to be their beta tester at full price. If they reference “similar” industries, ask what specifically makes those industries analogous to yours.
A vendor that has invested heavily in demo environments but struggles to answer operational questions (integration specifics, failure handling, support escalation) has prioritized sales over delivery. The demo sells the vision; the answers reveal the reality.
Responsible AI vendors talk about augmentation, efficiency, and redeployment — not headcount elimination as a primary selling point. Vendors who lead with job replacement are optimizing for an easy ROI narrative rather than a sustainable operational transformation. The companies that succeed with AI redeploy freed capacity; they do not just cut it.
End-of-quarter discounts, limited-time pricing, or “capacity constraints” that require immediate commitment are sales tactics, not partnership signals. A vendor confident in their product will give you time to evaluate properly and will welcome a pilot as proof of value.
Most AI vendor evaluations are led by IT departments evaluating technical capabilities. That produces technically sound decisions that operationally fail. We evaluate vendors from the operator’s chair — because that is where the results are delivered or lost.
Not “what are the model’s benchmarks?” but “what happens when the data is messy, the user is untrained, and the edge case hits on a Friday at 4pm?”
Using your actual cost structure, process volumes, and headcount — not vendor-supplied industry benchmarks that conveniently support their pricing.
We do not resell, refer, or receive compensation from any vendor. Our recommendation is based entirely on what works for your operation.
Technology, change management, training, governance, and exit strategy — not just feature checklists. A tool your team does not adopt has zero ROI.
Vendor-agnostic evaluation is part of every Synaptic Systems engagement. Whether you are in an AI Readiness Assessment, a 90-Day Pilot, or a Fractional CAIO engagement, we help you make vendor decisions that serve your operations — not the vendor’s quota.
Vendor evaluation is part of every engagement. We bring the operator perspective, financial rigor, and industry context that ensures you invest in tools that actually work inside your operations.
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