Customer Support

How RecruitCRM achieves 68% AI resolution, saving 62 hrs each month
RecruitCRM rejected Fin AI at $0.99/resolution, chose My AskAI instead. Started at 35%, now at 68% — through disciplined weekly QA reviews.

How YouGarden achieves 66% AI resolution, saving 965 hrs each month
YouGarden saves 965 hours a month with AI — that's 6 full-time agents. They hit 82% peak resolution after one smart integration change.

How Kriptomat achieves 62% AI resolution, saving 172 hrs each month
Kriptomat started at 50% AI resolution and thought that was good. Turns out reviewing knowledge gaps weekly got them to 62% — and counting.

My AskAI vs OpenAI Agent Builder for AI customer service (2026)
You could build your own AI agent with OpenAI. Or you could not spend $50,000+ and 1,000+ hours. We compared both approaches honestly.

Building a support agent with OpenAI Agent Builder (2026)
We spent 1,000+ hours building AI agents so you don't have to. Here's exactly how to set one up with OpenAI — and why you probably shouldn't.

Swytch: How My AskAI helps deflect over 4,050 support queries every month
Swytch sells e-bike kits and deflects 4,050+ support tickets a month with AI. Their secret? Treating the AI like a new hire that never stops learning.

Freecash: How My AskAI resolves over 70k support queries every month
70,000 tickets a month. 82% resolved by AI. Freecash tested Intercom Fin first — then switched. The cost difference was... significant.

Zeffy: How My AskAI helps Zeffy Keep Their Ticket Volume Down and Fundraising Free
Zeffy tested 8 AI vendors with 200+ questions. Only one passed. Now they deflect 84% of tickets with a 7-person support team. Here's how.

Customer.io: How My AskAI Helps Customer.io Grow by Doing More With Less
Customer.io tested 8 vendors with 200+ questions. My AskAI 'blew everybody else out of the water.' Now they deflect 68% of tickets automatically.

What is Autonomous Resolution? Definition, How It Works, and What Counts
Autonomous resolution is a support ticket an AI handles end-to-end, no human, where the issue is actually solved. Here's what counts, and what doesn't.

8 Best My AskAI Alternatives (2026)
Looking for a My AskAI alternative? We compare 8 options on integrations, pricing, and exactly where each one beats My AskAI (and where it doesn't).

What are Agentic Workflows? A Plain-English Definition + Examples
An agentic workflow is a multi-step procedure an AI runs end-to-end: picking tools, asking the right questions, finishing the job. Here's what good looks like.

AI customer service pricing models: how 20 vendors actually charge
Every vendor quotes a per-resolution rate, the least useful number on the page. How 20 AI customer service pricing models really work, and what each counts.

Per-conversation vs per-resolution: AI pricing models compared
Per-conversation or per-resolution? Both AI pricing models look similar, until your resolution rate climbs. Here's which one favours which buyer.

Containment vs deflection vs resolution: three metrics, decoded
Containment, deflection, and resolution aren't the same metric. Here's the decoder: what each measures, the formulas, and the one number to report on.

What is AI-to-human handoff? Definition, triggers, and what "good" looks like
AI-to-human handoff is the structured transfer of a conversation from an AI agent to a human. Here's when it fires, how it works, and how to spot a bad one.

What is Outcome-Based Pricing? Definition, Examples, and How AI Vendors Bill For It
Outcome-based pricing charges for results, not seats. Here's how AI vendors count outcomes, where the model breaks, and the usage-based alternative.

What are AI hallucinations? Definition, causes, and how to spot them
AI hallucination is when an AI states something false with confidence. Here's why it happens, real examples, and how customer-support AI prevents it.

What is Historical Ticket Training? Definition, How It Works, and What to Avoid
Historical ticket training teaches AI support agents from past resolved tickets. How it works, vendor differences, benchmarks, and what most guides get wrong.



