Vendor Evaluation for Automation and AI Platforms

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Overview

Vendor selection should stress your reality: CRM objects, auth modes, audit needs—not generic demos.

Core concept

Definition

Evaluation criteria include API coverage, rate limits, webhook reliability, data residency, SSO, audit logs, roadmap stability, and professional services dependence.

Business impact

Why it matters

Switching platforms is expensive; sunk cost traps are real. Due diligence upfront saves years of pain.

Practical model

Framework

Use-case script

Force vendors through your top three journeys live.

Security questionnaire

Aligned to your infosec standards—not checkbox theater.

Implementation detail

Detailed breakdown

Exit strategy

Export formats, data portability, contract terms for migration assistance.

In practice

Real-world example

A company eliminated a finalist after discovering CRM custom objects were unsupported for their industry.

Avoid these

Common mistakes

Buying for Gartner quadrant—not for your stack.
Ignoring TCO of professional services.

Engineering layer

Technical patterns

RFP scoring matrix

Must-haves eliminate; weighted score on differentiators.
Security questionnaire mapped to SOC2/ISO evidence.

Build patterns

Code examples

Pass/fail gate

Hard requirements checked programmatically in POC.

TypeScript

export function meetsMustHaves(vendor, criteria) {
  return criteria.every((c) => c.test(vendor));
}

System view

System architecture

YAML

[Requirements]
        → [Long list → POC scope]
        → [Scored demo + API tests]
        → [Security review]
        → [Contract + integration plan]

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