Nova handles employee queries, leave management, onboarding workflows, and HR policy lookups through natural conversation — no forms, no queues, no HR backlog for questions that should be instant.
How many days of leave do I have left? What's the policy on work-from-home? Who approves my shift swap? Employees ask. HR answers. Manually. Every single time.
The cost isn't just HR team bandwidth — it's the delay employees face waiting for answers that should be instant, and the compliance risk that comes from inconsistent, informal responses.
See the SolutionRepetitive leave, policy, and onboarding queries flood HR inboxes and Slack channels every day — consuming time that should go to strategic work.
Without a single enforced source of truth, employees get different answers to the same policy question depending on who they ask and when.
New hires wait days for basic information — access requests, document checklists, policy overviews — that should be available the moment they join.
Manual, informal HR processes create gaps in documentation and audit trails — a significant risk as organisations scale across geographies.
Nova handles the full employee HR surface — policy lookups, leave flows, onboarding, shift coordination, and intelligent escalation — through a structured, state-aware conversation.
Employees ask questions in plain language. Nova queries the HR knowledge base — grounded in actual policy documents — and returns accurate, citable answers in seconds.
Leave requests, balance checks, and approval routing all flow through conversation. No forms. No email chains. The request is logged, routed to the right manager, and tracked automatically.
New hires are guided through every onboarding step — document submission, access requests, team introductions, policy acknowledgements — in a single guided conversation, from day one.
Employees check schedules, request shift swaps, and receive confirmations through a structured state-managed conversation — eliminating the manual back-and-forth between managers and staff.
When a query exceeds Nova's scope, it routes to the correct HR contact with full context — conversation history, query type, and urgency — so no case ever restarts from scratch.
Nova is available 24/7 across timezones, with every interaction logged for a full audit trail. All responses are grounded in approved HR policy — no improvisation, no inconsistency.
Nova is engineered on Azure AI Foundry with a state-machine conversation core, knowledge-grounded responses, and enterprise-grade security from the ground up.
Nova runs a deterministic state machine that tracks exactly where each employee is in a workflow — GREET → QUERY_TYPE → RESOLVE → ESCALATE or CLOSE. Every state transition is logged and auditable.
Nova's answers are grounded in the organisation's actual HR policy documents, org chart, leave calendars, and employee handbooks — retrieved via Azure AI Search at query time, not baked into the model.
Deployed on Azure with Azure AD SSO for identity, role-based access control per query type, end-to-end encrypted conversations, and a full per-session audit trail for compliance review.
The core HR query and leave management modules are in prototype. We are accepting a small cohort of enterprise design partners for early access.
Current build status across Nova's primary capability areas:
We are accepting up to three enterprise organisations as early design partners for Nova's pilot programme:
The build plan from core query engine to a fully integrated enterprise HR intelligence layer.
Policy lookup, leave management, and onboarding workflows shipped as the foundational layer. Chat channel with Azure Bot Service. Pilot partner deployment and feedback cycle.
Voice input via Azure Speech Services — employees interact with Nova by voice as well as chat. Direct API connectors to SAP SuccessFactors and Workday for live leave balance reads and payroll lookups.
Workforce insights dashboard: absence pattern detection, peak leave demand forecasting, and policy FAQ analytics showing which questions repeat most — so HR teams can proactively close knowledge gaps.