24/7 interview access without more recruiter headcount

M-Group added Dyna.Ai to its existing recruitment workflow to expand localised candidate interviews without replacing its core recruitment system or adding recruiter headcount. The integration was completed in two weeks, and candidates gained access to interviews around the clock.

The business problem was not simply a shortage of candidates. Hiring demand across Latin America was growing faster than the interview operation could absorb. Recruiters had to prepare interviews, conduct conversations, document evidence, and return structured assessments across roles and markets. As volume increased, the operating constraint moved from attracting candidates to executing enough consistent interviews.

For M-Group, the decision was therefore about operating capacity. The company needed to increase interview access while preserving the recruitment process it already used. A replacement recruitment system would have introduced a second transformation project. Adding more recruiters would have increased capacity, but it would also have increased the recurring cost and coordination required to run the interview operation.

The challenge

Rising hiring demand was straining interview capacity

Dyna.Ai was deployed as an interview execution layer inside the existing recruitment workflow. Role inputs could be organized into job descriptions, evaluation criteria, and interview focus areas. The AI interview could then run a localised conversation, use contextual follow-up questions, and return evidence for recruiter review.

The important change was not the existence of another candidate-facing channel. It was the conversion of each interview into structured evidence. Recruiters received transcripts, recordings, reports, and scores against predefined criteria. That gave the people responsible for hiring a more consistent starting point for review instead of requiring them to reconstruct the conversation from memory or unstructured notes.

The workflow also addressed the practical reality of a regional recruitment operation. Candidates could start an interview on demand in their language and regional accent. This supported access across markets while leaving the recruitment team in control of the criteria used to assess candidates.

The deployment

M-Group added AI interviews to its existing recruitment stack

The integration was added to the recruitment system M-Group already used. The available evidence supports a two-week integration timeline, but the exact systems, implementation roles, and production-readiness steps still need confirmation before they are described in public copy.

The operating model remained familiar to the customer. M-Group did not need to replace its core recruitment platform to add interview capacity. Candidates interacted with the AI interview layer; recruiters and hiring managers reviewed the resulting evidence and retained responsibility for decisions.

This distinction matters for enterprise buyers. The value of the deployment was not autonomous hiring. It was the separation of repeatable interview execution from human assessment. The AI handled the conversation and organized evidence. Recruiters and hiring managers applied judgment, reviewed the candidate context, and decided who moved forward.

How the workflow changed

Two weeks to 24/7 candidate interview access

Before the change, additional interview volume directly increased pressure on recruiter capacity. After the change, candidate access could expand through an AI-assisted interview workflow while recruiter effort moved toward evidence review, alignment with hiring managers, and hiring decisions.

M-Group integrated the workflow in two weeks, opened interview access around the clock, and expanded interview execution without adding recruiter headcount. That gave the same recruiter team more capacity to move candidates through the process.

The customer remains the protagonist. M-Group made the consequential decision to preserve its existing recruitment environment and add capacity at the interview layer. Dyna.Ai provided the mechanism that allowed the company to change how interviews were executed and documented.

The results

More interviews from the same recruiter team

M-Group expanded access to interviews around the clock while keeping its existing recruitment environment and recruiter team. The result is practical capacity: more candidates can enter the interview workflow, interviews can be completed sooner, and recruiters can spend more of their time reviewing evidence and making hiring decisions.

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