You finish the interview. The candidate was strong. You made a mental note of their salary expectation, their start date, and their reason for leaving. Except you did not actually make a note. You were listening. And now you are staring at a blank ATS field trying to remember if they said €45,000 or €48,000.
So you open the transcript. You scroll. You copy. You paste. You format. You close the tab and start the next call.
Most AI notetakers were built for general meetings. They record, they transcribe, and they summarise. That is useful. It is not enough for recruitment. Here we break down exactly what separates a general AI notetaker from recruitment interview software with real ATS integration, and why the difference matters for every hire you make.
What “ATS Integration” Actually Means and Why Most Tools Do Not Go Far Enough
When tools like Fireflies or Otter mention ATS integration, they mean one thing. Once the meeting ends, you export a summary and push it somewhere. That is useful but it is not the same as your ATS being filled during the interview itself.
The distinction matters more than it sounds. Here is what the gap looks like in practice:
- You still have to manually pull salary expectations and availability from the transcript
- You still have to format that information to match your ATS fields
- You still have to find the candidate record and paste everything across
- You still do this after every single interview, every single day
Fathom, Fireflies, and Otter are general-purpose meeting tools. They were built for sales teams, operations teams, and general business use. Recruitment is something they can be used for. It is not what they were designed around.
In2Dialog was built specifically for the way recruiters work. It detects salary figures, availability, dates, and key signals during the call and structures that information directly into your ATS.
In2Dialog vs Fathom vs Fireflies vs Otter: How They Compare for Recruitment
Use the filter buttons to compare across the features that matter most to your team.
| Feature | In2Dialog | Fathom | Fireflies | Otter.ai |
|---|---|---|---|---|
| ATS-integratie: | ||||
| ATS filled during the interview | Yes | No | No | No |
| Post-interview ATS or CRM export | Yes | CRM only | Via export | Limited |
| Recruitment-specific ATS field mapping | Yes | No | No | No |
| Data capture | ||||
| Captures salary, availability, expectations | Yes | No | No | No |
| Detects dates and numbers in real time | Yes | No | No | No |
| Recruitment-structured interview summaries | Yes | Generic | Generic | Generic |
| Customisable templates per call type | Yes | Limited | Limited | No |
| GDPR and data compliance | ||||
| GDPR compliance | Yes | Yes | Paid tiers | Paid tiers |
| Data not used to train external AI models | Yes | Yes | Yes | Partial |
| Consent-based recording built into workflow | Yes | Manual | Manual | Manual |
| Purpose-built for recruitment | ||||
| Built specifically for recruiters | Yes | No | No | No |
| Interview preparation and suggested questions | Yes | No | No | No |
| Conversation analytics and performance tracking | Yes | Basic | Basic | No |
What In2Dialog Captures That Other Tools Miss
General notetakers capture what is said. In2Dialog captures what matters.
There is a real difference between a raw transcript and structured hiring data. A transcript gives you a wall of text. Structured data gives you the information your ATS actually needs to move the candidate forward cleanly and accurately.
In2Dialog detects and records in real time:
- Salary expectations and negotiation signals
- Availability and notice period
- Candidate motivation and reason for leaving their current role
- Dates, numbers, and commitments made during the call
- A complete candidate profile built before the interview ends
Not because she types faster than anyone else. Because the software does the work.
Three report types. Sales calls, job intake meetings, and candidate interviews each get their own structured format automatically. The right information is captured in the right place, every time.
How Much Is Manual Admin Costing Your Team?
Adjust the sliders to calculate how many hours and euros your team loses to post-interview admin every month.
Based on a 50% reduction in post-interview admin time across 32,000+ conversations processed by In2Dialog.
Why Structured Data Leads to Better Hires
A transcript tells you what happened in the interview. Structured data tells you what to do next.
Recruiters who rely on raw transcripts face three problems that build over time.
Reliability
By the end of a four-interview day, the details of your first call are already blurring. A transcript helps. But one that is not structured still requires you to read, extract, and interpret the key information yourself. That takes time and introduces error.
Consistency
When different recruiters summarise interviews differently, your hiring manager receives different quality reports every time. One recruiter captures salary expectations clearly. Another forgets entirely. The data in your ATS becomes unreliable, and decisions suffer as a result.
Speed
AI adoption in HR has doubled in a single year, rising from 26% to 43%. The recruitment teams using structured interview intelligence are closing faster, reporting faster, and making better decisions. Better structured data leads to better hiring decisions. Better hiring decisions mean candidates who stay beyond the first three months.
