A familiar hiring process often includes a resume, video interview, take-home exercise, and reference checks.

On the surface, that process may feel thorough. But does it give your team reliable evidence of what a candidate can actually do?

Checkr’s Recruitment Realities 2026 report, based on a survey of 1,000 business leaders, found that 73% of companies have encountered AI-generated resumes, cover letters, or assessments. Nearly one-third—29%—said it happens frequently.

The report also found that 49% of business leaders have extended a job offer to a candidate who misrepresented their qualifications using AI tools. Another 26% suspect it has happened but cannot confirm it.

AI can help candidates prepare, organize their experience, and communicate more clearly. The more important question for employers is whether the hiring process still produces reliable evidence of capability.

That is where many traditional hiring signals are beginning to fall short.

Start with the work, not the screening tool

When hiring happens primarily through a screen, each step needs to have a clear purpose.

A resume, video interview, work sample, and reference check can each provide useful information. None should be expected to carry the entire hiring decision.

Before choosing another assessment tool, start with the role.

Ask:

• What does this person need to be able to do?
• Which decisions will they own?
• Where will they need sound judgment?
• What type of ambiguity or pressure will they face?
• Which skills can be developed after hire?
• Which capabilities need to be demonstrated before an offer is made?

A job description that asks for an “excellent communicator” is not enough to design a meaningful assessment. The organization needs to define what communication looks like in that specific role.

Is the person expected to:

• Explain complex information to clients?
• Give direct feedback to employees?
• Write recommendations for senior leaders?
• Manage conflict between departments?
• Lead conversations when expectations or priorities change?

The answer should shape the evidence your hiring process asks candidates to provide.

The same applies to technical capability, problem-solving, leadership, and collaboration. Define the work first. Then determine what would provide credible evidence that a candidate can perform it.

AI has changed what “polished” means

Checkr found that 62% of leaders agree or strongly agree that the rise of AI has made traditional resume screening obsolete.

Resumes still provide helpful context. They can show a candidate’s background, experience, and career progression. But they need to be evaluated alongside stronger evidence of how the person thinks and performs.

A polished application is easier to produce than it used to be. AI can improve structure, language, and presentation. It can also generate assessment responses or make a candidate appear more fluent in a subject than they are.

The useful question is simple:

What evidence does the hiring team have that this candidate can perform the work?

Consider a mid-size consulting firm hiring a project manager.

A candidate submits an impressive resume, performs well in a video interview, and completes a case exercise that appears to demonstrate strong client judgment. After joining the organization, however, the person struggles when a client changes direction, a deadline moves, or important information is incomplete.

The manager and team spend the next several months correcting work, absorbing client follow-up, and covering a role that was expected to increase capacity.

The candidate may have used AI appropriately. The deeper issue was the way capability was measured.

The hiring process tested the finished product more effectively than it tested the person’s judgment. The team had confidence in the candidate’s presentation, but less evidence of how they would think and respond in the work itself.

Build evidence of capability into the process

A structured hiring process is not necessarily one with more steps. It is one in which each step is intentional and connected to the role.

For a position that requires judgment, the process might include a live discussion about an unfamiliar scenario. The candidate can explain:

• What they would consider
• What information they would need
• How they would evaluate the options
• How they would make and communicate a decision

For a technical role, the hiring team might ask the candidate to walk through the choices behind a work sample rather than evaluating only the finished product.

For a client-facing role, the team might observe how the candidate explains a complex issue to someone who does not share their expertise.

These approaches make it less important whether a candidate used a tool to prepare. The process is also evaluating understanding, judgment, adaptability, and communication.

If outside assistance is not permitted, candidates should be told in advance. The expectation should relate to the work and be applied consistently—not introduced as an improvised response to concerns about AI.

A useful assessment does not have to be difficult or time-consuming. It needs to provide meaningful information about the role without asking candidates to spend hours proving themselves.

Separate capability from verification

Hiring teams are answering two different questions:

1. Can this person do the work?
2. Are the important facts they have provided accurate?

The evidence needed to answer each question is different.

Credentials, prior employment, professional licenses, references, identity, and work authorization may need independent confirmation when they are relevant to the role and permitted by applicable law.

The process should be consistent and connected to the actual responsibilities and risks of the position.

For example:

• A company hiring for a regulated role may need to confirm specific credentials.
• A business hiring for a senior financial position may need to carefully verify employment history and professional references.
• A growing professional services firm may need a stronger way to assess client judgment than another generic take-home assignment.

The goal is not to verify everything simply because it can be verified. The goal is to identify which facts matter, which capabilities need to be demonstrated, and where the organization needs information it cannot responsibly take at face value.

Candidate experience is part of the process

When hiring teams feel uncertain, they may be tempted to add new requirements without first considering whether those requirements will produce better evidence.

Candidates might be asked to remove virtual backgrounds, move their cameras around the room, share their screens, or complete increasingly intrusive exercises.

The concern may be understandable. But improvised checks can create another problem when they add friction without improving the decision.

A process that feels invasive, confusing, or inconsistent may cause a strong candidate to opt out. It can also raise privacy, accessibility, and accommodation concerns when hiring managers are creating their own expectations from one interview to the next.

Each step should have a clear purpose, relate to the job, and be applied consistently. Candidates should understand what is being evaluated and how technology will be used during the process.

If a request cannot be connected to the work or to a clearly defined verification need, it probably does not belong in the hiring process.

Technology still needs human judgment

Background checks, identity verification, assessments, and recruiting technology can provide useful information. The hiring team still needs to interpret what that information means.

That includes understanding:

• What a vendor collects
• How the tool is tested
• Where human review occurs
• What the results can and cannot establish
• Who is responsible for making the final decision

A flagged inconsistency still needs context. An assessment concern may require further discussion. A background check can help confirm a credential, but it cannot determine whether someone will lead well, communicate clearly, or make sound decisions.

Technology can give hiring teams more information. It cannot make the decision for them.

At Converge, we start with what the role needs to prove

At Converge, we believe a strong hiring process starts with a practical question:

What would reliable evidence of success in this role actually look like?

That means understanding the role’s decisions, pressures, relationships, and responsibilities before choosing an interview question or assessment.

From there, the process can be designed around the evidence that matters:

• Which capabilities should be demonstrated through a structured conversation?
• Which skills are best evaluated through a work sample?
• Which facts need independent verification?
• How will interviewers evaluate what they see?
• Where does the organization need consistency across candidates?
• How can the process provide a clear and respectful experience?

The goal is not to create a more complicated hiring process. It is to create a more intentional one.

AI has exposed some of the weaknesses in how employers assess candidates. Hiring teams still need to define the work, build useful evidence, verify important facts, and apply sound judgment to the decision.

Those pieces should work together.

A resume is one part of the process. It should not be the process.

If you are reviewing your hiring process, Converge can help you build stronger evidence into the way you make hiring decisions.

Sources:

• Checkr, “Recruitment Realities 2026: AI Fraud Is On the Rise. So Is the Pressure to Stop It,” June 11, 2026: https://checkr.com/resources/articles/recruitment-realities-insights-from-business-leaders-2026