---
title: "How RecruitCRM hit 68% AI resolution, saving 62 hrs/month"
description: "RecruitCRM rejected Fin AI at $0.99/resolution and chose My AskAI, from $0.10 a ticket. Started at 35%, now at 68% through weekly QA reviews."
url: https://myaskai.com/blog/my-askai-recruitcrm-case-study-2026
---
# How RecruitCRM hit 68% AI resolution, saving 62 hrs/month

RecruitCRM resolves 68% of 1,088 monthly Intercom tickets with AI, achieving 75% AI CSAT and saving 62 hours every month.

A couple of years ago RecruitCRM had a problem: their support team was stretched, response times weren't as fast as they wanted and with a global customer base they really needed 24/7 support.

So they turned to My AskAI.

In the last year since integrating their My AskAI customer service agent into their Intercom helpdesk it has resolved almost 5,700 support tickets and is currently deflecting 68% of their tickets and saving their team 62 hours every month.

Now you’re probably asking yourself: “how does RecruitCRM do this?!” and “how can I do this for my business?”.

Let’s take you through their setup and show you how.

A screenshot showing RecruitCRM’s AI stats over the last year, with 55% AI resolution, 68% AI CSAT, and 615 hrs saved over 10,361 conversations.

## RecruitCRM AI customer service results on Intercom at a glance

| Fact | RecruitCRM |
| --- | --- |
| Website | [RecruitCRM](https://recruitcrm.io/) |
| Industry | SaaS, recruitment software (ATS and CRM) |
| Helpdesk | Intercom (chat widget and email) |
| Support volume | ~1,088 conversations/month |
| AI resolution rate | 68% (up from ~35% at go-live) |
| AI CSAT | 75% |
| Time saved | 62 hours/month |
| Key features used | Live User Data API, Custom Answers, Guidance, Intercom workflow triggers, AI Copilot |
| Knowledge sources | Intercom help center, unlimited website sync, uploaded context files, live user data |
| Previously used | Evaluated Intercom Fin, rejected on $0.99-per-resolution pricing |
| Go-live mode | Direct replies from day 1 |

## What does RecruitCRM do?

If you haven’t come across [RecruitCRM](https://recruitcrm.io/) before, they are an all-in-one [SaaS](https://myaskai.com/industry-use-cases/saas) platform for recruitment agencies that combines an applicant tracking system (ATS) with a customer relationship management (CRM) tool.

In simple terms, they help recruiters manage candidates, jobs, and client relationships in one place, so teams can track pipelines end-to-end, from sourcing through placement.

The company has built a strong reputation in the agency market, with over 1,000 recruitment firms across 80 countries using their platform and receiving consistently high ratings on major software review platforms.

They are a product-led, efficient business focused on helping agencies run faster, more organized recruiting operations through automation and better visibility across their workflow.

A screenshot of RecruitCRM’s homepage

## Which helpdesk does RecruitCRM use?

RecruitCRM use [Intercom as their helpdesk platform](https://www.intercom.com/suite), and receive the majority of their support requests through the Intercom chat widget, with some additional volume coming in via email.

They had [looked at Intercom’s Fin](https://myaskai.com/blog/intercom-fin-ai-agent-complete-guide-2026) but [the $0.99 per resolution pricing](https://www.intercom.com/pricing) just didn’t make economical sense for them ([see our comparison to Intercom Fin here](https://myaskai.com/blog/my-askai-intercom-fin-ai-agent-comparison-2026)).

So they chose to sign up for [My AskAI’s approved Intercom app](https://www.intercom.com/app-store/?app_package_code=my-askai-7tpd&search=my%20askai) instead, and run our [AI agent for Intercom](https://myaskai.com/ai-agent-integration/intercom) in the inbox their team already had.

A screenshot of the My AskAI Intercom app in the Intercom app store.

## How did they train their AI customer service agent?

RecruitCRM had an [Intercom help center](https://help.recruitcrm.io/en/) already, so they [connected this to their AI agent](https://myaskai.com/blog/how-to-add-ai-to-intercom-without-intercom-fin) using our [Intercom connector](https://support.myaskai.com/features/connections#which-knowledge-sources-do-you-have-connections-or-integrations-with) to get things going.

But they also had a lot of useful training data (technical docs and comparison posts) on their site too that they didn’t want to go to waste.

A screenshot of My AskAI’s knowledge page in their dashboard, showing Intercom connection and website added.

So they added this to their AI agent’s knowledge as well using [our unlimited website sync](https://support.myaskai.com/features/sitesync-adding-and-syncing-your-website-content) to ensure that the content always remains fresh and their AI agent was as knowledgeable as could be.

On top of this, they also had information in files that they needed to upload to provide further context and background that couldn’t be found on their site and help center.

[Play video](https://www.youtube.com/watch?v=uG5I4g8LqRU)

One of the smartest improvements RecruitCRM has made to their AI agent though is the addition of “[Live User Data](https://support.myaskai.com/api-documentation/user-data-api)”, this means that the AI agent can “look up” details about a customer to provide more personalized responses.

It now knows what plan a user is on, what recent transactions they might have made or events in their account.

All of this will improve the quality of their AI replies.

A screenshot showing RecruitCRM’s live user data connection and uploaded files.

## When did they decide to turn on ‘direct replies’ to customers?

They decided pretty much from day 1 that the fastest way for them to learn how their new agent would perform would be to put it in front of their users and start gathering feedback.

In the worst case scenario, they figured there were always [lots of ways the users could request to speak to someone](https://support.myaskai.com/features/human-handover#when-will-it-be-handed-over-to-a-human) and hopefully in some cases it would give a number of users faster answers.

They were pleasantly surprised to see that from go-live, due to their extensive collection of articles and tutorials, that they were able to see a ~35% resolution rate.

## What was the biggest thing they did to improve their AI agent’s resolution?

But RecruitCRM didn’t want to stop at 35%, they wanted to see how much further they could take their AI customer service agent.

They set about putting together their own QA process where they would systematically review the AI conversations each week and decide on the best action to take to improve responses. Teams starting today can hand much of that loop to our [self-learning](https://myaskai.com/features/self-learning), which drafts a new help article from each ticket the AI could not answer.

This might have been updating their help center after [identifying knowledge gaps](https://support.myaskai.com/features/improve/knowledge-gaps), adding [custom answers](https://support.myaskai.com/features/improve/custom-answers) or improving guidance. Our [insights](https://myaskai.com/features/insights) view groups what customers actually asked, which is where a weekly review like this one normally starts.

Through this diligent continual improvement process and the introduction of User Data APIs, they have managed to increase their average AI resolution to where it sits today, at around 68%. That sits just under the 70% median in our [AI resolution rate benchmarks](https://myaskai.com/blog/ai-resolution-rate-benchmarks), which cover 195 rated deployments.

A screenshot showing RecruitCRM’s custom answers in the My AskAI dashboard.

## How do they customize their AI agent setup to work for their business?

Each business manages support in their own way and has nuances to their setup, that’s why our AI agent has multiple customization options to fit around you.

A screenshot of RecruitCRM’s triage settings, allowing their AI agent to only respond when a button is pressed.

For RecruitCRM, this came in the form of:

- Using our [different types of guidance](https://support.myaskai.com/features/improve/guidance) to ensure their AI customer service agent responded on-brand and handed over if upgrade or cancellations tickets arose.
- Triggering their AI agent only on certain Intercom workflows, so they can control the experience more closely for more deterministic paths (and also keep their AI usage down).
- The use of our [AI Copilot in Intercom](https://myaskai.com/ai-copilot-chrome-extension), to enable their agents to use our AI, even after a conversation has been handed over.

A screenshot of RecruitCRM’s Guidance in their Dashboard.

## What impact is their AI customer service agent having now?

Well, let’s see:

As a result of RecruitCRM’s continual efforts to review and add custom answers to their AI customer service agent knowledge, their AI agent is currently:

- Resolving 68% of tickets automatically each month across almost 1,088 tickets (that’s around 740 tickets per month their team doesn’t have to deal with directly).
- Saving their customer service team 62 hours per month (assuming a 5 minute per ticket handle time).
- Achieving a 75% [AI CSAT](https://support.myaskai.com/features/insights#ai-csat) score across those 1,088 tickets.

A screenshot showing RecruitCRM’s AI performance over the last 30 days as at 17 Dec 25 with an AI resolution of 68%, an AI CSAT of 75%, 1,088 conversations handled and a saving of 62 hours at 5 mins per conversation.

## Where do they go from here?

RecruitCRM are one of our most dedicated customers when it comes to improving their AI agent’s responses.

The next big step for them is to look at features like [tools](https://support.myaskai.com/features/ai-actions-tools) and [tasks](https://support.myaskai.com/features/tasks) to automate more time-consuming tasks like upgrades, refunds and plan changes.

If anyone has a chance of getting to 100% automation, we wouldn’t be surprised if they are the first!

[Read more success stories](https://myaskai.com/reviews-and-case-studies) or [view plans](https://myaskai.com/pricing) and pricing for My AskAI.

[Learn more about building an AI-first support operation in our complete guide](https://myaskai.com/blog/ai-first-customer-service-guide-2026).

- Intercom ### [Freecash: How My AskAI resolves over 70k support queries every month](https://myaskai.com/blog/my-askai-freecash-case-study-2026) 70,000 tickets a month. 82% resolved by AI. Freecash tested Intercom Fin first — then switched. The cost difference was... significant. 6 Aug 2024  3 min read
- Case Study ### [Swytch: How My AskAI helps deflect over 4,050 support queries every month](https://myaskai.com/blog/my-askai-swytch-case-study-2026) 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. 27 Nov 2024  4 min read
- HubSpot ### [Zeffy: How My AskAI helps Zeffy Keep Their Ticket Volume Down and Fundraising Free](https://myaskai.com/blog/my-askai-zeffy-case-study-2026) 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. 6 Jul 2024  4 min read
- HubSpot ### [Zinc: Using My AskAI to reduce support tickets by 68%, overnight](https://myaskai.com/blog/my-askai-zinc-case-study-2026) Zinc went live with AI support in minutes — not weeks. Now 68% of queries resolve automatically with 97% CSAT. They didn't need to hire a replacement. 27 Feb 2024  4 min read
- Case Study ### [How Edel Optics achieves 79% AI resolution, saving 150 hrs each month](https://myaskai.com/blog/my-askai-edel-optics-case-study-2026) Edel Optics jumped from 25% to 79% AI resolution with one change: plugging in live customer data. 92% CSAT. In German. Across multiple languages. 13 Oct 2025  6 min read
- Alternatives ### [My AskAI vs Intercom Fin AI agent: Features, Pricing, and Results (2026)](https://myaskai.com/blog/my-askai-intercom-fin-ai-agent-comparison-2026) Fin charges $0.99 per outcome. My AskAI starts at $199/mo, priced per ticket. Similar performance, more integrations, different invoice. 3 Sept 2025  23 min read

## Start using AI customer service in your business today

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