Customer Support

Improving bot/assistant replies by learning from agent edits

Use AI that learns from how agents edit suggested answers to improve future responses and personalization over time.

Why the human is still essential here

Agents provide the corrective signal and maintain quality; teams must review changes to ensure the AI doesn’t learn wrong patterns or outdated policies.

How people use this

Autopilot improvement from “edited then sent” replies

The system uses agent-edited responses as feedback to refine future drafts and reduce repetitive corrections.

Intercom Fin

Feedback buttons on suggested answers

Agents rate or correct AI suggestions inline, and the platform uses that feedback to improve recommendation quality over time.

Zendesk AI

Contact center agent-assist coaching loop

Agent edits to suggested phrasing and next-best-actions are captured as training signals to improve real-time assistance.

Cresta

Community stories (1)

Reddit

Best AIs for customer support? Tested a bunch. Some thoughts…

I know how these posts usually go, so I'll just say upfront I'm going to be pretty rough and honest about all of these, including the ones I liked. I feel like each of them deserves a praise and comment as they have totally different approaches.

For context: I test AI tools constantly. Coding assistants, generative media stuff, random B2B SaaS. Usually I enjoy the crowded categories. But AI customer support platforms might be the most crowded AI category right now. Everyone claims to automate support, every demo looks amazing, and every sales rep makes it sound like you've just found the solution. The differences really only become obvious once you're inside the product.


So after way too many trials and sales calls, here's where I landed. Happy to hear from you I'm wrong.


Zendesk AI


If you're already on Zendesk, this is might bd the easiest move. AI triage, suggests responses from past cases, good routing. Very much a copilot approach,making agents faster rather than replacing them. Not flashy, but sometimes boring and reliable wins. The flip side is it feels like AI bolted onto a legacy product, not built from the ground up. You'll hit the ceiling eventually.


Zowie AI


The one I didn't see coming. Hadn't heard of them before the eval, then realized companies like Payoneer, Monos, and InPost are already running it, so apparently I was just late Implementation seemed faster than expected for enterprise setups, and they pair you with a pretty involved TAM during rollout.They use a deterministic decision engine for certain actions instead of letting the LLM freestyle, which helps avoid hallucinations. Also some interesting system-to-system automation (A2A) and visual troubleshooting aids inside conversations. But the orange logo made me smile haha looks a bit like some morse code.


Intercom Fin


Probably the most stable conversational quality I tested, unfortunately kinda blunt. Learns from agent edits, personalizes well, polished product. But it really wants you inside the Intercom ecosystem. If you're stitching together outside tools, expect friction. And pricing gets steep at volume, seriously, model your costs before you fall in love with zthe demon.


Ada


Probably one of the easiest for non-technical teams to get running. The flow builder is intuitive and handles common use cases well. But "common use cases" is doing a lot of work in that sentence. For anything involving complex backend integrations, order systems, billing, expect custom effort and longer timelines.


Freshworks Freddy AI


Best value pick for smaller teams but I mean small. Ticket classification, sentiment analysis, works out of the box with Freshdesk. If you need ab 80% of the capability at a fraction of the price, worth a look. Just don't expect it to keep up if your support operation gets complex.


LivePerson


The old veteran pick for some less regulated industries.More of a platform than a product though, you'll want a dedicated team to manage it, and the onboarding isn't cheap.


Kore.ai


Enterprise voice and complex IVR. Solid multilingual NLU and good templates. But this is not a self-serve deployment. I would think about hiring a technical team or paying them extra to get it done but it seemed kinda costly


Curious what’s others are running in production and what's still working at month 3. Thought about sharing a bit wit you the community up there although still feel kinda shy ahahah

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Far_Character4888AI tools evaluator (customer support platforms)
Mar 4, 2026