October 23, 2026
October 23, 2026
40% of AI Agent Projects Will Be Cancelled. Use This Checklist First
Gartner predicts over 40% of agentic AI projects will be cancelled by the end of 2027. Before you sign with a vendor, run these seven questions and the five-minute agent-washing test.
Gartner predicts over 40% of agentic AI projects will be cancelled by the end of 2027. Before you sign with a vendor, run these seven questions and the five-minute agent-washing test.
Gartner has predicted that more than 40% of agentic AI projects will be cancelled by the end of 2027. The causes are predictable: cost, unclear value and weak risk controls. Here's a seven-question checklist to run on any AI vendor before you sign.
The Prediction Every AI Buyer Should Read
Gartner has predicted that over 40% of agentic AI projects will be cancelled by the end of 2027. It named three drivers: escalating costs, unclear business value and inadequate risk controls. It also flagged "agent washing," where vendors relabel chatbots and basic automation as agents.
You don't need to agree with the number to take the warning. If you're a service business owner being pitched an "AI workforce" this week, the odds that something you buy will quietly disappear are not small.
The good news is that the causes are visible before you sign. This is the checklist we'd use if we were buying, not selling.
Six Reasons AI Projects Get Cancelled
The cost creeps. A cheap trial becomes a bigger bill once usage, integrations and "premium" features arrive.
Nobody defined value. There was no baseline, so there's no way to prove improvement.
It's a chatbot in an agent costume. It talks but can't act, so humans still do the work.
It doesn't connect. It sits outside the CRM, the calendar and the phone system.
Risk wasn't designed in. No escalation rules, no logging, no way to stop it.
No one owns it. It was bought by one person and abandoned by the next.
Every item on this list is something you can check before you pay.
The Seven-Question Vendor Checklist
Ask these on the call. A good vendor will enjoy them.
1. What is the one job, and how is it measured?
Green flag: "It answers inbound calls and books qualified appointments. We report answer rate and booking rate weekly."
Red flag: "It transforms your customer experience."
2. What does it connect to, specifically?
Green flag: Names your actual CRM, calendar and phone setup, and shows the integration working.
Red flag: "It integrates with everything." Ask for one example.
3. What happens when it doesn't know?
Green flag: A defined handoff to a human with a summary of the conversation.
Red flag: "It rarely gets things wrong."
4. Can I hear or see real interactions?
Green flag: Call recordings, transcripts and a dashboard you can review.
Red flag: Polished demos only, no access to live logs.
5. What does it cost at 3x my volume?
Green flag: A clear pricing model, including per-minute, per-seat or per-lead charges.
Red flag: A flat headline price with vague "fair use" language.
6. How do I leave?
Green flag: Short notice period, and you keep your data, numbers and content.
Red flag: Long lock-in, or your data stays with them.
7. Who is accountable when it breaks?
Green flag: A named contact and a response time.
Red flag: A support inbox and a knowledge base.
The Five-Minute Agent-Washing Test
Ask the vendor to do one live task that requires action, not conversation:
Give it a realistic enquiry.
Watch whether it checks a real calendar, creates a record and sends a confirmation.
Ask a question it shouldn't answer and see if it hands off.
Ask what it logged.
Ask to see the log.
If it can only talk, it's a chatbot. That's not worthless, but it shouldn't be priced as a workforce.
How We Answer Our Own Checklist
Fair is fair. Here's how My Revue responds to each question:
One job: each system has one. Voice receptionist, speed-to-lead follow-up, review automation, chatbot and quote estimator.
Connections: GoHighLevel as the control layer, Cal.com for booking, Meta Ads feeding leads in through conversion API.
Unknowns: escalation to a human with context.
Visibility: you can review calls and activity.
Cost: transparent monthly pricing, plus a 15% performance fee per qualified lead on the performance model.
Exit: 30-day cancellation.
Accountability: you deal with the people who built it. We deliver in 14 days.
We're not claiming that makes us right for everyone. We're saying you should be able to get answers like this from anyone you pay.
When Not to Buy
Honesty helps here. Don't buy an AI system yet if:
You get fewer than a handful of enquiries a week. Fix demand first.
Your offer and pricing aren't clear. AI will scale the confusion.
Nobody on your team will look at the results. It will drift.
You want a magic fix for a sales process that doesn't exist. Build the process first.
In those cases a good receptionist or a simple booking link is the better spend.
Frequently Asked Questions
What is "agent washing"?
It's when vendors rebrand chatbots, scripts or basic automation as autonomous agents. The test is whether the product takes real actions in your systems, not whether it uses the word.
What does Gartner actually predict?
That more than 40% of agentic AI projects will be cancelled by the end of 2027, citing cost, unclear value and inadequate risk controls.
How much should a small business pay for an AI receptionist?
It varies. Compare the cost to the revenue from calls it recovers. If you can't work that out, ask the vendor to help you do the sum before you sign.
Should I avoid long contracts?
For a first AI project, yes. Short terms keep the vendor honest and let you stop if results don't show.
Can I run this checklist on a tool I already bought?
Yes. If it fails questions 1 to 3, fix the scope before you spend more.
Want a Second Opinion on a Vendor?
Send us the proposal you've been given. We'll run it against this checklist on a free call and tell you plainly what we'd push back on, even if it isn't us. No sales pitch. No obligation.
[Book a free vendor-check call]
Gartner has predicted that more than 40% of agentic AI projects will be cancelled by the end of 2027. The causes are predictable: cost, unclear value and weak risk controls. Here's a seven-question checklist to run on any AI vendor before you sign.
The Prediction Every AI Buyer Should Read
Gartner has predicted that over 40% of agentic AI projects will be cancelled by the end of 2027. It named three drivers: escalating costs, unclear business value and inadequate risk controls. It also flagged "agent washing," where vendors relabel chatbots and basic automation as agents.
You don't need to agree with the number to take the warning. If you're a service business owner being pitched an "AI workforce" this week, the odds that something you buy will quietly disappear are not small.
The good news is that the causes are visible before you sign. This is the checklist we'd use if we were buying, not selling.
Six Reasons AI Projects Get Cancelled
The cost creeps. A cheap trial becomes a bigger bill once usage, integrations and "premium" features arrive.
Nobody defined value. There was no baseline, so there's no way to prove improvement.
It's a chatbot in an agent costume. It talks but can't act, so humans still do the work.
It doesn't connect. It sits outside the CRM, the calendar and the phone system.
Risk wasn't designed in. No escalation rules, no logging, no way to stop it.
No one owns it. It was bought by one person and abandoned by the next.
Every item on this list is something you can check before you pay.
The Seven-Question Vendor Checklist
Ask these on the call. A good vendor will enjoy them.
1. What is the one job, and how is it measured?
Green flag: "It answers inbound calls and books qualified appointments. We report answer rate and booking rate weekly."
Red flag: "It transforms your customer experience."
2. What does it connect to, specifically?
Green flag: Names your actual CRM, calendar and phone setup, and shows the integration working.
Red flag: "It integrates with everything." Ask for one example.
3. What happens when it doesn't know?
Green flag: A defined handoff to a human with a summary of the conversation.
Red flag: "It rarely gets things wrong."
4. Can I hear or see real interactions?
Green flag: Call recordings, transcripts and a dashboard you can review.
Red flag: Polished demos only, no access to live logs.
5. What does it cost at 3x my volume?
Green flag: A clear pricing model, including per-minute, per-seat or per-lead charges.
Red flag: A flat headline price with vague "fair use" language.
6. How do I leave?
Green flag: Short notice period, and you keep your data, numbers and content.
Red flag: Long lock-in, or your data stays with them.
7. Who is accountable when it breaks?
Green flag: A named contact and a response time.
Red flag: A support inbox and a knowledge base.
The Five-Minute Agent-Washing Test
Ask the vendor to do one live task that requires action, not conversation:
Give it a realistic enquiry.
Watch whether it checks a real calendar, creates a record and sends a confirmation.
Ask a question it shouldn't answer and see if it hands off.
Ask what it logged.
Ask to see the log.
If it can only talk, it's a chatbot. That's not worthless, but it shouldn't be priced as a workforce.
How We Answer Our Own Checklist
Fair is fair. Here's how My Revue responds to each question:
One job: each system has one. Voice receptionist, speed-to-lead follow-up, review automation, chatbot and quote estimator.
Connections: GoHighLevel as the control layer, Cal.com for booking, Meta Ads feeding leads in through conversion API.
Unknowns: escalation to a human with context.
Visibility: you can review calls and activity.
Cost: transparent monthly pricing, plus a 15% performance fee per qualified lead on the performance model.
Exit: 30-day cancellation.
Accountability: you deal with the people who built it. We deliver in 14 days.
We're not claiming that makes us right for everyone. We're saying you should be able to get answers like this from anyone you pay.
When Not to Buy
Honesty helps here. Don't buy an AI system yet if:
You get fewer than a handful of enquiries a week. Fix demand first.
Your offer and pricing aren't clear. AI will scale the confusion.
Nobody on your team will look at the results. It will drift.
You want a magic fix for a sales process that doesn't exist. Build the process first.
In those cases a good receptionist or a simple booking link is the better spend.
Frequently Asked Questions
What is "agent washing"?
It's when vendors rebrand chatbots, scripts or basic automation as autonomous agents. The test is whether the product takes real actions in your systems, not whether it uses the word.
What does Gartner actually predict?
That more than 40% of agentic AI projects will be cancelled by the end of 2027, citing cost, unclear value and inadequate risk controls.
How much should a small business pay for an AI receptionist?
It varies. Compare the cost to the revenue from calls it recovers. If you can't work that out, ask the vendor to help you do the sum before you sign.
Should I avoid long contracts?
For a first AI project, yes. Short terms keep the vendor honest and let you stop if results don't show.
Can I run this checklist on a tool I already bought?
Yes. If it fails questions 1 to 3, fix the scope before you spend more.
Want a Second Opinion on a Vendor?
Send us the proposal you've been given. We'll run it against this checklist on a free call and tell you plainly what we'd push back on, even if it isn't us. No sales pitch. No obligation.
[Book a free vendor-check call]
