The traditional recruitment funnel (advertising, CV screening, initial interviews) is overwhelmed by the current volume of applications. AI-powered interviews, such as those offered by Solu, take place immediately after an application is submitted to assess 100% of candidates, generate qualified shortlists, and free up HR to focus on strategic decisions. And we have a plan to help you implement this solution.

Analysis of the current sales funnel

Map out your current stages in 5 minutes (typically: attraction > application > screening > interviews > offer). Identify the bottlenecks: where does HR waste the most time? Where do candidates drop out or have the worst experience? AI-powered interviews address two critical issues: superficial CV screening and high-volume manual initial interviews (which provide candidates with quick feedback). Schedule them immediately after the application to hear from everyone, without relying on preliminary filters. To help, look for answers to these questions:

• What are the formal steps in the hiring process today (recruitment, application, screening, interviews, tests, job offer)?
• Where does the team spend the most time (screening resumes, scheduling interviews, coordinating with managers)?
• At what point do applicants most often drop out (long application form, slow response time, too many interviews)?
• What metrics do you currently track (time to close, conversion rate by stage, candidate source)?

Much of the content available emphasizes this point: it’s not the number of steps that’s the problem, but rather the lack of connection and clarity between them. If the funnel isn’t flowing smoothly, everything else seems harder than it should be. Draw a simple diagram (even if it’s just on a piece of paper) showing your current steps and make a note of:

• How each deliverable feeds into the next.
• What’s “troublesome” for HR, the manager, and the candidate at each stage.

This map serves as the basis for determining where the AI interview fits in.

Where AI interviews fit into the funnel

Today, most companies use AI in recruitment for two main purposes: resume screening and communication with candidates. Automated interviews are already gaining traction, particularly in high-volume stages where human interviews would be impractical for everyone. In practice, there are three typical stages for AI-powered interviews in the recruitment funnel:

Right after the launch (and perhaps one of the fastest models)

• Candidate registers.
• You will automatically receive an interview invitation via AI (via email, WhatsApp, etc.).
• The AI guides the conversation, asks structured questions, and delves deeper based on the answers.
• The result feeds into the next stage with a pre-selected shortlist.

Following automated resume screening (intermediate model)

• Screening AI (from the ATS or the solution itself) filters candidates based on minimum criteria.
• All successful candidates are invited to an AI-based interview.
• This approach further reduces the volume, but it also limits the ability to “literally hear everyone.”

As a substitute for the initial in-person interview (transitional model)

• The process continues with manual or automated screening of resumes.
• Instead of the “15-minute interview” with the recruiter, we now have AI-powered interviews.
• A good option for teams that want to start off with minimal internal friction.

If your goal is to make the most of Solu’s value proposition (interviewing 100% of candidates and comparing them all), the ideal time to do so is right after they apply.

Designing the new funnel, step by step

Below is a funnel model that has been redesigned to include AI-powered interviews as a central step. You can adapt the names of the steps and tools, but the overall logic remains the same.

Attraction and application

Nothing much changes here, except for communication:

• Continue using your current channels (LinkedIn, job boards, referrals, talent pool).
• In the job description, make it clear that all candidates will be invited to an AI-based interview in the initial stage.
• Explain in simple terms what this means (estimated time, format, objective), to help reduce resistance and anxiety.

This makes your process agile and transparent—something that candidates increasingly value.

Automatic AI-generated interview invitation

As soon as the application is submitted:

• An automated workflow sends out the interview invitation via AI (Solu), with clear instructions: the deadline for responding, whether to respond via text or audio, whether a camera is required, etc.
• This automation can be achieved by integrating the ATS with Solu or through native automation features (email, WhatsApp, SMS).

The point here is not to be at the mercy of the recruiter’s schedule. AI “keeps its schedule open 24/7” for everyone, without any hassle.

Structured interview with AI

In the AI-generated interview:

• The selection process is based on the technical and behavioral competencies specified in the job posting.
• AI asks the same key questions to everyone, ensuring consistency, but it can adapt follow-up questions based on the answers.
• The candidate responds at their own pace, within the deadline, through the designated channel.

This creates a rich database that is far more comprehensive than any pile of resumes.

Consolidation, ranking, and shortlist

Once the interviews are completed:

• The AI evaluates responses based on predefined criteria (e.g., relevant experience, problem-solving skills, clarity of communication).
• It generates a ranking of candidates and highlights each candidate’s strengths, risks, and gaps.
• This shortlist is fed into the ATS, the talent CRM, or a dashboard within Solu itself.

Here, the hiring process no longer advances candidates based solely on a “impressive resume” but instead bases advancement on concrete evidence gathered during the interview.

Final interviews and decision

With a more qualified shortlist:

• Recruiters and managers conduct in-person or online interviews that focus on company culture, aligning expectations, and delving deeper into specific topics.
• The goal of this phase is no longer to “get to know everyone quickly,” but rather to make a sound decision among a group of strong finalists.

This reorganization is in line with global trends: AI is taking a more prominent role in high-volume stages, while human interviews are becoming more strategic and in-depth.

Practical criteria for redesigning the funnel

When redesigning the funnel to include AI-powered interviews, keep the following practical principles in mind:

Fewer steps, more clarity

It’s not about piling up endless stages, but rather about:

• Clearly define what each stage must deliver to the next (e.g., resume screening → invitation to AI interview → structured shortlist → final interviews).
• Ensure that candidates know where they are in the process and what comes next.

A lean but well-connected funnel is better than a funnel full of micro-steps that no one understands.

Standardize where it matters, customize where it adds value

• Standardize the AI-powered interview so that everyone answers the same key questions and is evaluated using the same criteria.
• Tailor communication, feedback, and human interaction during the final stages.

This balances scale, justice, and experience.

Measuring the funnel with new metrics

With AI-powered interviews, it makes sense to keep an eye on:

• AI interview completion rate (the percentage of invitees who actually respond).
• Average time between application and completion of the interview.
• Managers' perception of the shortlist's quality (e.g., internal NPS).
• Impact on diversity and reducing bias, if you already track this data.
• These metrics complement the traditional ones (time to close, cost per hire).

How to make the transition without disrupting the team

Changing the hiring funnel can be daunting, especially for HR teams that are already overwhelmed. Here are some best practices from those who have been through it:

1. Start with 1–2 high-volume pilot projects to test the model with Solu before scaling up.
2. Involve managers from the start, explaining that they will receive more qualified shortlists, not extra tasks.
3. Train the HR team to interpret AI-generated interview reports and turn them into decisions, not just “magic numbers from the machine.”
4. Gather feedback from candidates, especially regarding clarity of communication and ease of use.

A review of AI in HR shows that widespread adoption occurred precisely when companies treated AI as part of their daily operations, rather than as an isolated experiment.

Ethics, experience, and compliance

When incorporating AI-powered interviews into the hiring process, three points are critical:

• Transparency: Clearly state that there is an AI-driven step, what it is for, how the data is used, and who has access to the results.
• Data governance: Ensure compliance with the LGPD through policies on consent, data retention, and data disposal.
• Bias monitoring: track, over time, whether certain groups are consistently being evaluated differently, and adjust the model and criteria as needed.

Reports from the BBC and Brazilian media outlets show that, when properly explained and used in the early stages, AI-powered interviews are seen as a way to increase efficiency, but can be perceived as “dehumanizing” if used without context and empathy.

Example of a redesigned customer journey with Solu

To be more specific, here is an example of a redesigned workflow with Solu at its core:

1. Job opening posted on our current channels.
2. Apply via ATS or by form.
3. Automatic sending of interview invitations via AI (Solu).
4. Candidates complete the text/voice interview at their own pace.
5. Solu analyzes responses, generates rankings, and provides insights by skill.
6. The shortlist is sent to recruiters/managers (via ATS or the portal).
7. Final in-person interviews based on this shortlist.
8. Offer and onboarding.

This model preserves what you already have (ATS, internal workflows) and adds a layer of intelligence at the crucial moment: when you need to understand who each candidate really is, amidst a sea of resumes. When you take ownership of these decisions and clearly redesign the funnel, Solu ceases to be “just another tool” and becomes the backbone of the initial evaluation stage, connecting attraction, data, and decision-making into a single workflow.