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Strategy · 4 minute read

AI Vendor Scorecard Template for Evaluating Partners

An AI vendor scorecard scores candidates on weighted sections, method and evidence, security and data handling, IP and commercial terms, delivery model and team, economics, and organizational fit, with gate criteria in method, security, and terms that a vendor must pass regardless of total score, and documented evidence behind every mark so the decision can be explained.

By FISTA Solutions· AI-Native Engineering Team·
AI Vendor Scorecard Template for Evaluating Partners article cover

Every AI vendor demo works. The buyers who choose well are the ones whose scoring gives the demo almost no weight and gives evidence, security, terms, and delivery method almost all of it. This scorecard template does that, with gates that no total can offset. It structures the criteria in the AI vendor evaluation checklist and the AI vendor due diligence whitepaper into a scoring instrument. Contract and security references are general guidance, not legal advice.

What are the sections and weights?

SectionSuggested weightGate
Method and evidence25%Minimum: specification and evaluation artifacts from comparable work
Security and data handling20%Minimum: scoped identities, data terms, assessment evidence
IP and commercial terms15%Minimum: buyer owns specifications, datasets, and code; data-use restrictions in writing
Delivery model and team15%None, but named engineers required to score
Economics15%None; compared at equal quality over three years
Organizational fit10%None

Adjust weights to your risk profile; keep the gates.

How is method and evidence scored?

Criterion035
Specification practiceNo artifactsTemplates shownSpecifications from comparable work, reviewed
Evaluation practice"We test it"Describes golden datasetsEvaluation reports with thresholds from comparable work
Oversight designNot addressedDescribedApproval gates and exception design demonstrated
Shadow mode and measurementNot offeredOfferedBaseline and shadow-mode reports from comparable work
Proof of outcomesClaimsReferencesReferences on measured outcomes, verifiable

The discipline behind the 5 column is the evaluation-driven development whitepaper.

How is security and data handling scored?

Identity model for agents and engineers (scoped, never shared); data categories, residency, retention, and model-provider terms in writing; assessment evidence such as independent reports; incident process; and the controls in the agent identity and access control whitepaper. Score claims without documentation as absent.

How are IP and terms scored?

Ownership of specifications, datasets, and code by the buyer; restrictions on data use and training; deprecation and exit terms; liability and warranty appropriate to the work; and no guaranteed-outcome language that signals a vendor who does not measure. Terms require counsel; the scorecard records what was offered in writing.

How are delivery model and economics scored?

Delivery: named engineers and roles, embedded versus remote, knowledge transfer method, throughput evidence. Economics: three-year cost of ownership at equal quality, including platform, oversight, and maintenance, per the AI total cost of ownership model; quotes alone score nothing.

How is organizational fit scored?

Fit is the section most vulnerable to demo bias, so score it on observable behavior: whether the vendor asked about your process owners and baseline before proposing a solution; whether their engineers will sit with your team or work through account managers; whether they pushed back on scope that could not be specified; whether their references describe a working relationship or a delivery event; and whether their communication during the evaluation was precise and evidence-led. A vendor that answered every question with a slide scores low here regardless of how the slides looked.

What does a completed scorecard look like?

VendorGatesMethod (25)Security (20)Terms (15)Delivery (15)Economics (15)Fit (10)Total
APass2117131210881
BPass121814914774
CFail (terms)Eliminated

The illustrative numbers show the point: vendor B's economics do not overcome a weak method score, and vendor C's failed gate ends the evaluation before totals matter. Behind each cell sits the evidence record that justified it.

How is the scorecard used?

  1. Confirm gates for every candidate; eliminate those that fail.
  2. Score sections with documented evidence; two scorers per vendor.
  3. Weight and total; compare, but read the section scores too.
  4. Shortlist and run a paid, scoped pilot per how to run an AI pilot.
  5. Replace method scores with pilot evidence; decide.
  6. Record the evidence and rationale so the decision can be explained.

What are the common mistakes?

  1. Demo weight, explicit or hidden in "fit."
  2. Gates offset by strong economics.
  3. Claims scored as evidence.
  4. Quotes compared instead of cost of ownership.
  5. No pilot, so the decision rests on estimates.

How does FISTA Solutions measure against it?

FISTA Solutions names its engineers, delivers specifications and evaluation reports from comparable work, keeps code and infrastructure in client accounts, assigns IP and restricts data use in writing, and offers references on measured outcomes. Engagements run through forward deployed engineers, AI enablement, and AI agents delivery. FISTA is registered in Delaware with engineering in Faisalabad and has delivered 150+ projects for 50+ companies across 12+ countries with 99.9% uptime.

To put FISTA through this scorecard, message FISTA on WhatsApp, or read choose AI development company for the wider selection guide.

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Clear answers

Questions raised by this field note.

Straightforward guidance for evaluating scope, fit, and the next step.

01What sections should an AI vendor scorecard have?

Method and evidence (how they specify, evaluate, and prove outcomes), security and data handling, intellectual property and commercial terms, delivery model and team, economics over a multi- year horizon, and organizational fit. Method, security, and terms carry gate criteria; the rest are weighted by the buyer's risk profile.

02How should the sections be weighted?

By risk profile. A regulated enterprise might weight security and terms heavily and economics less; a growth company might weight delivery speed and fit more. Whatever the weights, method and evidence should never be light, because a vendor without an evaluation discipline cannot prove any of the other claims.

03What counts as evidence in a scorecard?

Specifications and evaluation reports from comparable work, security documentation and assessment results, contract terms in writing, named engineers and their roles, references on measured outcomes, and pilot results. Slides, demos, and assurances are not evidence and should be scored as absent.

04Should the pilot be part of the scorecard?

Yes, as the final stage for shortlisted vendors: a paid, scoped pilot with acceptance criteria, an evaluation methodology, buyer-owned artifacts, and a fixed duration converts scores into observed performance. The pilot's evidence replaces the estimated scores for the method section.

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