
Stop Manual CV Processing with Automation
Simply uses AI to turn manual CV entry into a fully automated process. What used to take 20 minutes now takes zero. Here's how it works.
Remo Vloet8 min.

Learn how reducing your time-to-hire by automating administrative tasks can help you secure top talent before your competitors do.
A good candidate is on the market for an average of 10 days. Ten days. During that time, they receive multiple invitations, conduct interviews, and get offers. If your process takes two weeks from first contact to offer, you’re too late.
Speed in recruitment isn’t a luxury. It’s a competitive advantage. And the good news: you don’t have to get sloppy to be fast. With the right approach and the right tools, you can be faster and better simultaneously.
Let’s make it concrete with some facts:
These aren’t abstract statistics. This is revenue you’re missing. Every day a vacancy goes unfilled costs money. Every candidate you lose to a faster competitor is a missed placement.
Before you can get faster, you need to know where you’re losing time. In most processes, there are five bottlenecks:
Most companies respond to applications after 3-5 business days. During that time, the candidate has already spoken with three other companies. A quick confirmation with a personal touch makes an immediate difference.
The back-and-forth emailing about availability costs an average of 2-3 days per interview. With multiple rounds and multiple stakeholders, that adds up quickly.
After an interview, it often takes days before the interviewer provides feedback. The recruiter waits, the candidate waits, the momentum disappears.
With AI summaries, feedback is available right after the conversation. Automatically generated, structured, and ready to share. No more waiting.
Too many people who need to weigh in, too many rounds, too much ‘let me think about it.’ Every extra decision-maker adds a day to your process.
The salary needs approval, the contract needs to be drafted, the legal check is still pending. By the time the offer is ready, the candidate has already signed with the competitor.
It’s not about rushing. It’s about eliminating unnecessary steps and accelerating the necessary ones.
Data extraction automatically pulls relevant information from conversations and puts it in your CRM. No more manual typing after every interview.
CRM data entry ensures data is automatically validated and formatted. Dropdowns are correctly filled, dates are right, and names are in the proper format.
Many companies have three or four rounds. Ask yourself: what do you learn in round three that you couldn’t have learned in round two? Often the answer is: nothing. Combine interview rounds where possible.
Make the agreement: feedback within 24 hours after the conversation. Omnichannel recording makes it easy to share conversations with decision-makers who weren’t present. They don’t need to wait for a verbal briefing.
If you know a candidate is strong after the first round, start preparing the offer. Approve the salary, draft the contract. So you can move immediately when the final round is positive.
Speed does more than just shorten your time-to-hire. It sends a message to the candidate.
A fast response says: ‘We’re interested in you. You matter to us.’ A slow response says: ‘You’re one of many. We’ll get to it.’
Candidates who experience a fast process:
Speed isn’t just efficiency. It’s employer branding in action.
You can’t be fast enough manually. Technology is the accelerator that makes the difference.
AI summaries eliminate the hours you spend writing interview reports. Within seconds after the conversation, you have a complete, structured summary.
Transparency makes it possible to share summaries with confidence. Every sentence is clickable and refers to the exact moment in the conversation. No interpretation, but factual representation.
Integrations ensure data flows automatically between your tools. No copy-paste, no double entry, no delay.
Insights show you where your process is slowest. So you can improve targeted instead of everywhere at once.
You can’t improve what you don’t measure. Here are the metrics that matter:
Measure these metrics monthly. Discuss them with your team. And set concrete goals for improvement.
A recruitment agency with 15 consultants spent an average of 45 minutes per conversation on administration: writing up notes, entering data into the CRM, summarizing feedback for the client. With 8 conversations per consultant per week, that was 90 hours per week on administration.
By introducing AI summaries and automatic data extraction, that dropped to 15 hours per week. Those freed-up 75 hours were spent on additional conversations with candidates and clients.
The result after three months:
The recruitment process has multiple phases where speed plays a role. The first phase is finding and approaching candidates. The second is conducting and processing conversations. The third is presenting to the client. And the fourth is negotiating and contracting. In each of these phases, time is typically lost to manual steps that can be automated.
The biggest time savings are not always where you expect. Many agencies focus on accelerating the sourcing phase, while the real bottleneck sits in processing. A recruiter conducts a strong thirty-minute conversation, then spends an hour writing the summary, filling in the CRM, and formatting the candidate profile. By automating that processing step, you gain as much time as the conversation itself took.
The presentation phase also offers significant acceleration opportunities. When the candidate profile is automatically formatted in your agency’s brand style, with all relevant information in the right place, you can send the profile as soon as you have approved it. No manual formatting, no waiting for a colleague to review the document. The candidate reaches the client while your competitor is still handling the paperwork.
Also look at the time lost to internal alignment. How many internal messages do you send about a candidate before the profile goes out? How many times does a team leader need to review a summary? With verifiable AI summaries and structured data, the number of review moments drops drastically because the quality of the first version is already high.
Speed is not just a factor in winning new assignments. It also plays a direct role in retaining existing clients. Clients who consistently receive the first candidate profiles within 24 hours of the briefing conversation are demonstrably more loyal than clients who need to wait three to five days. Speed signals commitment and capacity.
The reverse also applies. A client who has not received a single profile after three days starts to doubt. Did the agency take the vacancy seriously? Are there even candidates available? That doubt leads the client to engage a second agency. At that point, you do not just have competition, you have a trust problem. Consistently fast delivery prevents this scenario and strengthens your position as a preferred supplier.
About the author

Remo Vloet is a co-founder of Simply, the AI Operating System for recruitment agencies: inbox, meetings, sourcing, CV parsing, search and matching, documents and automation in one system. With a background in building complex software, he contributes to the technical vision behind Simply.
LinkedInArticles by Remo VloetNot if you do it right. Speed means eliminating unnecessary steps, not giving up thoroughness. Structured interviews with AI summaries are faster and better than unstructured conversations with manual notes.
Show them what it costs. Every day of delay increases the chance the candidate drops out. Share the AI summary right after the conversation, so they only need to score rather than write everything out.
You can't skip compliance steps, but you can run them in parallel. Start the background check while the final interviews are taking place. Prepare the contract while waiting for final approval.
For scarce profiles, speed is most critical. But even for less scarce roles: a faster process delivers a better candidate experience and higher acceptance rates.

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