For AI Vendors & Platforms

Stop losing deals
to bad-fit prospects.

Independent readiness assessment for supply chain AI vendors. Know before you commit — which prospects are genuinely ready, which need preparation, and which will stall your implementation and drain your CS team.

$500K–2M
Typical cost of a failed AI implementation — technology, consulting, and organizational capital
30%
Of enterprise AI projects abandoned post-POC after significant vendor commitment (Gartner, 2024)
12–18mo
Typical duration of a stalled supply chain AI implementation — tying up CS and delivery resources

You're committing resources
to the wrong accounts.

Most supply chain AI vendors have no systematic way to evaluate prospect readiness before the contract is signed. The result is predictable — and expensive.

💸
Stalled implementations drain margins

When a client's data infrastructure, integration readiness, or organizational change capacity doesn't match expectations, your delivery team absorbs the cost — in time, headcount, and relationship equity.

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CS resources tied to unprepared accounts

A single difficult implementation can consume disproportionate CS bandwidth — time that could be spent accelerating expansion in accounts that are actually ready to scale.

📉
Failed pilots hurt your category

Every stalled pilot in supply chain AI makes the next enterprise sale harder. Independent pre-engagement assessment protects the category as much as it protects your implementation record.

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Prospects don't know what they don't know

Enterprise supply chain leaders are often enthusiastic but unaware of data quality, process standardization, and governance gaps that will surface 6 months into implementation.

Independent assessment.
Before you commit.

ChainLytix scores your prospects against the validated readiness matrix — giving you objective data to inform deal strategy, resource allocation, and timeline expectations.

1
Prospect Identification

You identify 1–5 accounts in your pipeline for independent evaluation. ChainLytix works directly with the prospect's supply chain and IT teams — no internal data shared.

Day 1–2
2
Readiness Assessment Conducted

3–5 structured interviews with prospect stakeholders. Data architecture, process documentation, and governance reviewed against the 13-dimension readiness matrix.

Week 1–2
3
Scoring & Red/Yellow/Green Report

You receive a structured readiness scorecard with specific barriers identified, time-to-readiness estimates, and a red/yellow/green classification. The prospect also receives their own summary — which builds trust in the process.

Week 2
4
Deal Strategy Debrief

60-minute debrief covering what the readiness scores mean for your deal — timeline adjustments, implementation risk mitigation, and where to focus pre-sales investment.

Week 2–3

Two reports.
Complete picture.

📊 Vendor Intelligence Report
Prospect readiness score across 13 dimensions
Red/yellow/green classification for the specific use case
Specific barrier list with time-to-readiness estimates
Deal risk summary — where you're most likely to hit friction
Implementation complexity rating with rationale
📋 Prospect-Facing Summary
Readiness overview the prospect can share with leadership
Prioritized preparation steps if not yet ready
Specific use case recommendation based on readiness profile
Builds trust and accelerates internal buy-in for your solution
Positions your vendor as a credible, customer-first partner

Three ways to
work together.

From occasional prospect qualification to a formal partnership that scales with your pipeline.

On Demand
Per-Assessment
$5–10K
per prospect · 7–10 business days
Full readiness scorecard
Vendor intelligence report
Prospect-facing summary
60-min debrief call
Get Started
Strategic
Annual Partnership
$80–120K
per year · unlimited assessments
Unlimited prospect assessments
Co-branded readiness materials
Quarterly SC AI readiness report
Joint webinar + content program
White-label assessment option
Book a Scoping Call
Ready to talk about a partnership?

We're onboarding a small number of vendor partners in 2026. If you sell supply chain AI and want to reduce implementation risk while differentiating your sales process — let's talk.