Hiring requests with AI resume screening: from requisition to offer in one place

Hiring in a growing company rarely fails for lack of effort. It slows down in the gaps: a manager's request that lives in an email thread, a job description nobody has time to write, a pile of resumes HR has to read one by one, interview feedback scattered across chats, and an offer letter that has to be assembled from scratch at the end.

Hiring Requests in Techno Team Via closes those gaps. A position moves from requisition to offer in one place, on one page, with a progress bar showing exactly where it stands. Along the way, AI takes on the slow, repetitive parts, drafting the job description and reading resumes against it, while every decision stays with people.

Speed and fairness, without handing over the decision

There are two things founders and HR leads want from a hiring process. They want it to be quick, because good candidates do not wait. And they want it to be fair, because every candidate deserves to be judged on the same basis for the same role.

Those goals often pull against each other. Reading every resume carefully takes time; skimming them quickly risks missing good people. Structured interviews are fairer; they are also harder to organise. Techno Team Via's approach is to let AI handle the reading and drafting so HR has more time for judgement, and to make the structure of the process part of the system rather than something people have to remember.

How it works: six steps on one page

Every hiring request has its own page, organised as a six-step flow with a progress bar. Later steps stay locked until the request reaches them, so the order of the process is clear to everyone involved.

Step	What happens	Who
1. Requisition	The request is raised and AI drafts the job description from the role	Manager, CEO, HR Director or HR
2. Approvals	The requester's reporting manager approves the request	Reporting manager
3. Screening	Resumes are uploaded and AI suggests a match score for each	HR
4. Add Candidate	Candidates are added to the position	HR
5. Interview	Mandatory rounds run in order, with times and feedback	Interviewers and HR
6. Offer Creation	The offer letter is generated after every round	HR

1. Requisition

A manager, the CEO, the HR Director or HR raises a hiring request for the role they need. Rather than starting from a blank page, they get a job description drafted by AI from the role. It is a starting point, not a final word: the requester can edit it until it says exactly what the team needs.

2. Approvals

The request goes to the requester's reporting manager for approval. This keeps headcount decisions with the people accountable for them, and it means HR is not working on positions nobody has signed off.

3. Screening

Once approved, the position becomes open and HR receives it. HR uploads resumes, and the AI reads each one against the job description. For every resume it suggests a match score, along with the skills that match and the skills that are missing.

That last part matters. A score on its own tells you little. A list of matching and missing skills tells HR why a resume scored the way it did, so they can agree, disagree or look closer. HR decides who goes forward.

4. Add Candidate

HR adds the chosen candidates to the position. These are now the people who will go through interviews.

5. Interview

Your company sets the mandatory interview rounds. By default these are Technical, Managerial and HR. They run in order, and each round is unlocked only when the interviewer of the previous round marks the candidate Selected.

Within a round, the interviewer proposes a time and HR confirms it. After the interview the interviewer gives feedback on the same page. Nothing lives in a side conversation, and anyone looking at the request can see where each candidate stands.

6. Offer Creation

After every round, HR generates the offer letter directly from the request. When that offer is converted into an employee, the hire is counted against the request. The position's journey, from the first line of the requisition to the new employee record, sits in one place.

Fairness through structure

A structured process is one of the most practical ways to make hiring fairer, and Techno Team Via builds that structure in rather than leaving it to good intentions.

• Same rounds for every candidate. The mandatory rounds are set by the company, so every candidate for a role goes through the same steps.
• Rounds in order. A round cannot be skipped; it opens only when the previous interviewer marks the candidate Selected.
• Screening against the job description. Every resume is read against the same JD, with matching and missing skills spelled out, so the reasoning is visible.
• Feedback on record. Interviewers record their feedback on the request page, where HR can see it.

None of this replaces human judgement. It makes sure that judgement is applied consistently.

The Candidate Pool: good people you have already met

Every hiring round produces people who were not right for that position but might be right for the next one. In most companies they disappear into old email threads and folders of resumes. Techno Team Via keeps them in a Candidate Pool.

The pool holds everyone who has been through hiring and did not join:

• people who were screened but not taken forward,
• candidates rejected in an interview round,
• people whose offers were not taken up.

When a new position opens, HR can click Find matches. The AI compares the people in the pool with the open position and suggests Shortlist, Hold or Reject for each, with a score and a reason. As with screening, these are suggestions; HR decides who to bring back into the process.

Importantly, the comparison does not use names or contact details. It looks at what is relevant to the role, such as skills and location, so the suggestions are based on fit for the position rather than on who someone is.

Data minimisation: profiles, not resumes

Keeping a pool of past candidates raises a fair question: should a company be holding on to the resumes of people who never joined? Techno Team Via's answer is no.

For people who did not join, the Candidate Pool keeps an AI-read profile, with details such as skills and location, instead of keeping the resume itself. The company keeps what it needs to recognise a good fit for a future role, without storing every document a candidate once sent.

Keep what helps you hire well. Let go of what you do not need. That principle shapes how the Candidate Pool is built.

For HR teams thinking carefully about the personal data they hold, this is a practical step: the pool stays useful while the volume of personal documents stored for people outside the company goes down.

Who benefits

Managers

Raising a request no longer means writing a job description from scratch. Managers describe the role, refine the AI draft and send it for approval, then follow its progress on one page.

HR

HR gets approved positions instead of informal asks, screening that highlights matching and missing skills instead of a stack of unread resumes, interview scheduling and feedback in one place, and offer letters generated from the same request. The Candidate Pool gives HR a head start on every new opening.

Interviewers

Interviewers see the round assigned to them, propose a time, and record their feedback and decision where HR can act on it straight away.

Leadership

Founders and the CEO can raise requests themselves and see that hiring follows a consistent, structured path, with hires counted against the requests that created them.

A faster, fairer path from need to hire

Hiring Requests brings the whole journey, requisition, approval, screening, candidates, interviews and offer, onto a single page with a clear progress bar. AI does the drafting and the first reading, people make the decisions, and the Candidate Pool makes sure the effort that went into past hiring is not lost, while keeping only what is needed.

To see a hiring request move from requisition to offer, book a demo or explore Techno Team Via.