
HR teams answer the same policy questions repeatedly and spend hours on recruiting admin: screening applications, scheduling interviews and sending updates. An AI assistant can take this routine work while people make the hiring and people decisions.
This is an example project. It shows how we would approach this kind of work in human resources; it does not describe a specific client. Results depend on your process and data, and we agree on how to measure them with you before starting.
We set up a Vera HR assistant connected to your HR system, policies and calendars. It answers employee questions from approved documents, organises applications against the criteria you set, schedules interviews and runs onboarding checklists, with every hiring decision made by your team.
Agents used: Vera virtual HR assistant
Map the current process, systems and data, agree on the baseline numbers and how success will be measured.
Build and connect the agent for one scope: employee policy questions or one open role. Set permissions, guardrails and hand-off rules.
Run on real cases with a person reviewing the agent's work, tuning it until results are reliable.
Compare results with the baseline and extend to more teams, sites or tasks only if the pilot clearly pays off.
Timings are indicative and depend on your systems and scope.
We record these before the pilot starts and compare them afterwards, so you can see whether it worked.
Tell us about one process that takes too much of your team's time. We'll tell you honestly whether AI can help and what a pilot would look like.