Evaluation Guide / Evaluation Frameworks
Enterprise AI Platform Evaluation: The 100-Point Scorecard
A comprehensive 100-point scoring framework for enterprise AI platforms covering functional, technical, vendor, economic, and strategic criteria.
Why You Need a Structured Scoring Framework
Enterprise AI platform selection is one of the highest-stakes technology decisions an organization makes. Without a structured, weighted scoring methodology, evaluations devolve into feature-list comparisons dominated by vendor marketing. The 100-point scorecard provides an objective, repeatable framework that aligns technical teams, business stakeholders, and procurement around a common evaluation language.
The 100-Point Framework at a Glance
The scorecard allocates points across five weighted dimensions. The weighting reflects enterprise priorities: functional capabilities and technical architecture together account for 55 points because platform performance is non-negotiable, while vendor viability and economics ensure long-term sustainability, and strategic alignment anchors the selection to business objectives.
| Dimension | Points | Weight | Key Focus Areas |
|---|---|---|---|
| Functional Requirements | 30 | 30% | Core AI/ML capabilities, use case coverage, integration breadth |
| Technical Architecture | 25 | 25% | Scalability, security, performance, reliability, extensibility |
| Vendor Viability | 20 | 20% | Financial health, roadmap, support, customer references, ecosystem |
| Economics | 15 | 15% | TCO, pricing model, ROI timeline, hidden costs, contract flexibility |
| Strategic Alignment | 10 | 10% | Vision fit, organizational readiness, change management, innovation pace |
Evaluation Timeline
Scorecard Customization
1 week
Adapt weights and sub-criteria to your organization. Adjust point allocations based on industry and strategic priorities.
Vendor Long-List Scoring
2 weeks
Score 6–10 vendors on publicly available information and analyst reports. Eliminate vendors scoring below 40 points.
Short-List Deep Evaluation
3–4 weeks
Conduct demos, reference calls, and technical deep-dives for top 3–4 vendors. Refine scores with first-hand evidence.
Proof of Concept
4–6 weeks
Run scored POCs for top 2 vendors on your highest-priority use case. Final scoring based on real results.
Final Scoring & Decision
1 week
Consolidate all scores, present to steering committee, negotiate final terms with selected vendor.
Dimension 1: Functional Requirements (30 Points)
Core AI/ML Capabilities (12 pts)
Model training, fine-tuning, inference, AutoML, pre-built models, multi-modal support, and custom model import/export.
Use Case Coverage (10 pts)
NLP, computer vision, time series, recommendation, anomaly detection, generative AI, and conversational AI breadth.
Integration & Ecosystem (8 pts)
API quality, pre-built connectors, data source integrations, marketplace, partner ecosystem, and third-party tool compatibility.
Dimension 2: Technical Architecture (25 Points)
Technical Architecture Sub-Criteria
- Scalability (7 pts): Horizontal scaling, multi-region, auto-scaling policies, and performance under concurrent load
- Security & Compliance (6 pts): Encryption, access controls, audit logging, certifications (SOC 2, ISO 27001, HIPAA)
- Performance (5 pts): Inference latency, training throughput, cold start times, and consistency under load
- Reliability (4 pts): Uptime SLAs with financial backing, disaster recovery, failover, and data durability
- Extensibility (3 pts): Plugin architecture, custom model support, API-first design, and SDK coverage
Dimensions 3–4: Vendor Viability (20 pts) & Economics (15 pts)
- Financial Health (5 pts) — Revenue growth, funding runway (for startups), profitability trajectory, and customer concentration risk.
- Product Roadmap (5 pts) — Roadmap transparency, historical delivery track record, alignment with industry trends, and R&D investment ratio.
- Support & Services (4 pts) — SLA tiers, response times, dedicated support options, professional services, and training programs.
- Customer References (3 pts) — References in your industry, similar scale, and comparable use cases. Minimum 3 referenceable customers.
- Ecosystem & Partnerships (3 pts) — Cloud provider partnerships, system integrator relationships, technology alliances, and community health.
36-Month Total Cost of Ownership
TCO₃₆ = (License/Subscription × 36) + Implementation + Training + Integration Development + Ongoing Operations + Estimated Scaling Costs − Quantified Cost Savings
Dimension 5: Strategic Alignment (10 Points)
Critical Insight
Allocating only 10 points to strategic alignment is intentional — it prevents this subjective dimension from overriding functional and technical evidence. However, treat any score below 5/10 on strategic alignment as a veto, regardless of overall score. A misaligned platform will fail in adoption even if it excels technically.
Scoring Methodology & Interpretation
Each sub-criterion is scored on a 0–5 scale and then weighted to its allocated point value. Scoring should be evidence-based: demos, POC results, reference calls, and documentation — never vendor slide decks alone.
| Score | Label | Evidence Standard |
|---|---|---|
| 5 | Exceptional | Demonstrated superiority verified in POC with measurable evidence |
| 4 | Strong | Fully meets requirements with evidence from demos and references |
| 3 | Adequate | Meets core requirements with minor gaps identified |
| 2 | Partial | Significant gaps requiring workarounds or custom development |
| 1 | Weak | Major deficiencies that create material risk |
| 0 | Missing | Capability absent or fundamentally unsuitable |
- 80–100 points: Strong Candidate — Proceed to contract negotiation. Expect minor gaps addressable through vendor roadmap or custom integration.
- 60–79 points: Conditional Candidate — Viable with caveats. Identify the specific dimensions dragging the score down and determine if gaps are addressable within your timeline.
- 40–59 points: Significant Risk — Proceed only if no alternatives exist and gaps are concentrated in lower-weighted dimensions.
- Below 40 points: Disqualify — Fundamental misalignment. Do not invest further evaluation effort.
A scorecard does not make the decision for you — it ensures the decision is made with discipline, transparency, and evidence rather than vendor charisma and recency bias.
Downloadable Scorecard Template
Excel-based 100-point scorecard with automated weighting, scoring formulas, and comparison charts for up to 5 vendors.
Reference Call Question Bank
40 structured questions for vendor reference calls covering implementation experience, support quality, and hidden challenges.
POC Design Guide
Framework for designing proof-of-concept evaluations that generate actionable scoring evidence rather than demo-quality results.
Researched and reviewed under Xither's editorial standards — AI-assisted, adversarially reviewed, and primary-sourced. Spot an error? Tell us.
Procurement
Shortlisted? Take it to RFP.
Enterprise AI RFI & RFP Template — every question ships with what a strong answer looks like and the red flags to watch for, so you score vendors side by side instead of comparing sales decks. One-time purchase, exports to XLSX.