AI assistant for HR: automating screening interviews, assessing skills, building candidate profiles, integrating with ATS, and standardizing hiring.
Our clients
The AI interview assistant conducts first-round interviews instead of a recruiter: it asks structured questions based on your competency model, clarifies details, records answers, evaluates soft and hard skills, and sends HR the final candidate profile with recommendations for the next stage. It works 24/7, integrates with ATS and HRM, and takes hiring context - job profiles, checklists, procedures - from Sloy, KT.Team corporate memory.
First-round screening becomes consistent: the same questions, unified scales, automated answer analysis - without interviewer subjectivity and without irrelevant HR calendar calls.
Runs first-round interviews 24/7: asks competency-based questions, clarifies details, records answers, and immediately compares the candidate with role requirements. Reduces HR workload by up to half.
Analyzes answer content, experience examples, self-assessment, and the candidate's confidence. Applies your competency matrices - interviewer subjectivity is eliminated.
Creates a structured card: strengths, risks, requirement match, skill level, and questions for the second stage. The hiring manager compares comparable profiles.
Automatically creates the candidate profile, attaches the interview report, updates statuses, notifies the recruiter, and builds the shortlist - with no manual data transfer.
The interview assistant runs on Sloy - working memory for AI agents, the KT.Team product.
Job profiles, competency models, and hiring procedures become machine-readable company memory: short Markdown pages with change history in the corporate Git.
The assistant reads pre-prepared context instead of searching for random fragments at answer time, so the questions and evaluation criteria match your procedures, not the model's "average" assumptions.
The originals - job profiles, checklists, interview recordings - remain the source of truth: the evaluation in the candidate profile is based on verifiable pages with links to the sources, and knowledge of the hiring process is not lost when people change.
How the memory works - in the case study Sloy: memory for AI agents.
The assistant works according to your hiring rules, so formalized criteria are needed to start - the rest is added during implementation.
We discuss the job flow, screening stages, and expected outcomes: where first-round interviews consume HR time.
We study job profiles, competency models, and the candidate journey to determine what to automate first.
Interview scripts tailored to your competencies, integration with ATS and HRM, a pilot on one opening, and scaling.
We train the team, monitor assessment quality, and support the system after launch.
Interview scripts are built around your competencies and job profiles, evaluation is based on answers and role criteria, and results go to ATS, HRM, and the corporate CRM without manual transfer. For HR, that means fewer irrelevant calls and faster filled roles; for the hiring manager, comparable candidate profiles and ready-made questions for the second stage.
FAQ
First-round interviews, screening, requirements assessment, follow-up questions, basic skills checks, data collection, and creation of the final candidate profile. Can the assistant be adapted to specific competencies? Yes.
The assistant works with your competency models, checklists, job profiles, and hiring team requirements - they are stored in the Sloy corporate knowledge base and updated together with the policies. How are assessment accuracy and objectivity ensured? Your evaluation criteria, standardized questions, unified scales, and automated answer analysis are used - without interviewer subjectivity. The assessment is based on verifiable memory pages with links to source materials. Does the assistant integrate with HR systems? Yes.
Supported systems include ATS, HRM, CRM, HR systems, and job portals. The assistant creates candidate records and updates statuses automatically. How safe is it to work with candidates through AI? The assistant runs within the corporate perimeter or in a secure cloud, data is encrypted, and access is role-based. How much does implementation cost? We provide pricing after diagnosing the hiring process: the scope depends on the number of openings, integrations, and perimeter requirements. We measure the impact of changes, not just hours.
Consultation
We will review your hiring process, job profiles, and HR systems, show how the assistant conducts a first-round interview based on your criteria, and create a launch plan with stages and timelines. Contact us directly: clients@kt.team.
Testimonials
The KT.Team team is a mature development partner. The delivery process is very clearly organized, and the smooth collaboration within the engineering team deserves special mention. When the team sees that the development process needs fine-tuning, it does it. During discussions, the team digs into the essence of the tasks and seeks to understand the business context. The work is aimed not at formally fulfilling the specification but at solving the real problem. Thanks to strong engineering expertise and product thinking, the team can be trusted not only with implementation but also with the architecture of the entire system.
The Muztorg group of companies has been working successfully with the KT.Team team for more than two years. The high professionalism of our partners helps us a great deal, as does their ability to combine well-structured project management with minimal formal constraints. I would especially like to note the friendliness and openness of the KT.Team staff.
You set a high standard for working with contractors. After you, dealing with others leaves a feeling of falling short of expectations.
We have been working with kt.team for more than a year, and in that time we have come a long way — from quickly launching a small website to an introductory catalog and several integrations. The team responded promptly to our requests and additions to the specification; together we tested several hypotheses and chose the ones that worked best. None of this prevented us from jointly creating a project with a modern design and functionality convenient both for users and for Maxxium employees.
We came to KT.Team with a request to set up a platform to easily connect clients, carriers and WMS in FM Logistic France. The result was successively achieved, and by now we have onboarded a big client on the new platform — it's a great result! I'd like to especially note very good reactivity and professionalism of the project managers, devs and ops who always help us.
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