Part 4: Challenge Vendor Promises
The vendor demo looks perfect. They answered all your questions. The ROI slides are impressive.
But you’re a $100K decision away from realizing half the “AI features” don’t work as promised.
The 7 Red Flags
These signals mean you’re about to overpay for underdelivery:
They Can’t Show You the Output
What it sounds like:
- “We’re still building that feature.”
- “The output is proprietary.”
- “Trust us.”
Why it’s a problem:
The feature doesn’t work or quality is poor. They’re selling you a roadmap, not a product.
What to do:
Demand 10 real unedited output examples from actual clients. Walk away if refused.
“Proprietary AI Model”
What it sounds like:
- “We built our own model.”
- “Trained on exclusive data.”
Why it’s a problem:
Building a competitive model from scratch costs $5M–$50M. A startup claiming a proprietary model is almost certainly using OpenAI or Anthropic underneath.
What to do:
Ask which base model they use: GPT-4? Claude? Llama? Dodging the question means they’re hiding something.
Vague Timeline Guarantees
What it sounds like:
- “Integration takes 2–4 weeks.”
- “Live by end of quarter.”
Why it’s a problem:
These estimates hide real dependencies: IT security review, data migration, custom configuration, and training your team.
What to do:
Ask them to walk through every onboarding step with estimated hours. Get it in writing.
“AI Learns Your Brand Voice”
What it sounds like:
- “Upload your style guide and AI learns your brand.”
- “Adapts automatically.”
Why it’s a problem:
Real brand voice training requires 50–100+ writing examples, expensive fine-tuning, and months of iterative feedback loops.
What to do:
Ask how many examples are needed, what the training process actually involves, and request before-and-after samples from existing clients.
No Mention of Human Review
What it sounds like:
- “Fully automated.”
- “Set it and forget it.”
- “End-to-end AI.”
Why it’s a problem:
AI without human oversight guarantees mistakes. This creates legal liability, brand damage, and accuracy risks that fall on your team.
What to do:
Ask what happens when the AI makes a mistake. Who reviews before content goes live? Can you see error logs?
Overpromised ROI Without Proof
What it sounds like:
- “300% ROI in first quarter.”
- “Save 20 hours/week.”
- “40% increase in conversions.”
Why it’s a problem:
No named case studies, no methodology explanation, and numbers that sound too clean. If it sounds like a brochure, it is one.
What to do:
Request 3 client references with specific metrics. Ask what else changed during the measurement period.
Unclear Pricing Escalators
What it sounds like:
- “Starting at $X/month.”
- “Scales with usage.”
Why it’s a problem:
Per-user fees that balloon, API overages that 10x the base cost, and essential features locked behind premium tiers you’ll inevitably need.
What to do:
Ask for the all-in cost at 2x your current scale. What triggers price increases? Request a sample invoice from a company your size.
Your Vendor Demo Checklist
Print this. Bring it to every demo.
Before the Demo
- Have they shared live product access (not just slides)?
- Did they ask about your specific use case?
- Can you bring technical team members to ask hard questions?
During the Demo
- Ask to see unedited output examples from real clients
- Request to see the admin/backend interface (not just end-user view)
- Ask what happens when things break (error handling, support SLAs)
- Request access to their API documentation
After the Demo
- Ask for 3 client references (similar size/industry)
- Request detailed implementation timeline with milestones
- Get all-in pricing for 12 months including overages
- Ask for trial/pilot with exit clauses
- You can spot the 7 red flags that signal vendor theater
- You have a checklist to bring to every vendor demo
- You won’t approve unproven tools without evidence