A conversational AI that lets recruiters query their ATS directly — powered by OpenAI LLM, AWS infra, and SQL‑writing agents with guardrails.
Recruiters waste hours sifting through CVs and databases manually. Queries require technical skills, and answers are buried in unstructured fields — slowing down hiring decisions.
We built an agentic chatbot using an AWS stack, OpenAI LLM, and business rules. A lightweight UI connects to the backend, allowing natural language queries. The agent safely writes SQL with guardrails, retrieves data, and digests results into user‑friendly answers.
User asks a natural language question in chatbot UI
LLM agent interprets intent and maps to database schema
Agent writes SQL with guardrails and executes on ATS DB
Results summarised and returned conversationally
Reusable pattern for any database search scenario
Watch how the agentic chatbot transforms database queries into natural conversations
Recruiters can instantly retrieve structured answers instead of manually filtering through thousands of CVs.
Any recruiter or hiring manager can query the database in plain language, reducing dependency on analysts.
The architecture can be applied to sales, support, finance, or any domain with a database backend.
Guardrails, audit logs, and AWS‑native infra make it safe for enterprise adoption.
"Our recruiters now query the ATS like chatting to a colleague — the time savings are extraordinary."
Deploy agentic chatbots that turn natural language into safe, actionable queries — across any domain.