Playbook
LLM Vendor Evaluation Playbook for Buyers
Recommendation thesis
Run vendor selection like procurement plus experiments: score quality, cost, latency, and risk on your real tasks before signing.
Why now
Run vendor selection like procurement plus experiments: score quality, cost, latency, and risk on your real tasks before signing.
Evaluation dataset represents real production prompts and constraints.
What breaks without this
Teams choosing vendors based only on benchmark marketing.
Decision framework
Evaluation dataset represents real production prompts and constraints.
Commercial terms include explicit usage, retention, and support expectations.
You can run side-by-side tests on quality and operational cost.
Recommended path
Run vendor selection like procurement plus experiments: score quality, cost, latency, and risk on your real tasks before signing.
Side-by-side scoring prevents lock-in based on superficial demos.
Implementation sequence
Commercial terms include explicit usage, retention, and support expectations.
Tradeoffs
Organizations without legal or security review capacity.
Decision matrix
| Criterion | Recommended when | Not recommended when |
|---|---|---|
| Evaluation dataset represents real production prompts and constraints. | Evaluation dataset represents real production prompts and constraints. | Teams choosing vendors based only on benchmark marketing. |
| Commercial terms include explicit usage, retention, and support expectations. | Commercial terms include explicit usage, retention, and support expectations. | Organizations without legal or security review capacity. |
| You can run side-by-side tests on quality and operational cost. | You can run side-by-side tests on quality and operational cost. | Projects that have not defined latency and quality requirements. |
Before
Teams choosing vendors based only on benchmark marketing.
After
Side-by-side scoring prevents lock-in based on superficial demos.
Evidence cards
Side-by-side scoring prevents lock-in based on superficial demos.
Josh Arnold delivery patternsJosh Arnold
Cost modeling surfaces hidden spend before contracts are signed.
Josh Arnold delivery patternsJosh Arnold
Risk checks reduce surprises in legal and compliance review.
Josh Arnold delivery patternsJosh Arnold
FAQ
How many vendors should we evaluate?
Usually two to four serious candidates is enough to compare meaningfully without slowing decisions.
Can one model serve every workflow?
Sometimes, but many teams use a primary model and a specialized fallback for edge workflows.
Next step
Share your workflow context and constraints. You get a concrete recommendation and rollout path.
Related discovery pages
- Pilot-to-Production AI Playbook (60 Days) (Playbook)
- AI Support Triage for High-Volume Queues (Use case)
- Sales Call Prep Copilot for Account Teams (Use case)