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Turn credit evaluation into a collaborative process powered by AI agents—automating analysis, integrating internal and external data, and consolidating insights across corporate credit underwriting.
AI-Powered HR Assistant
Empowers HR teams to deliver fast, accurate, and personalized employee support 24/7 — powered by a living knowledge graph of your organisation, conversational AI, and seamless integration with your existing HR tools.
#Employee Self-Service #Knowledge Management #HR Automation #Compliance Assurance
Business Challenge
Modern HR teams face a growing volume of employee queries and repetitive cross-functional processes — from onboarding and country transfers to policy questions and expense approvals — that strain resources and lead to inefficient service delivery. Information is scattered across multiple systems, and the knowledge needed to resolve requests often lives in documents, in people's heads, or in fragmented wikis that are never quite up to date. As organisations expand, the gap between what employees need and what HR can deliver keeps widening. What is missing is not more headcount, but a shared, structured understanding of how the organisation works — one that AI can actually act on.
Solution Overview
The AI-Powered HR Assistant is built on the concept of making HR independent through a dedicated platform: intelligent AI workers that understand your organisation, know the steps to follow, and act safely inside your existing tools — asking a human only when a real decision is needed.
At the heart of the solution is a knowledge graph that encodes your organisation's roles, policies, processes, and relationships in a machine-readable ontology. This is not a static document repository: the ontology is built and maintained directly in the platform, starting from your existing HR documents, then reviewed and promoted to an official shared map that every AI assistant uses to reason and respond. The result is that every answer, every action, and every workflow is grounded in a consistent, curated understanding of your business — not in generic AI guesswork.
On top of this knowledge foundation, the HR Assistant operates across three modes matched to the nature of each HR task. As a conversational assistant, it engages employees in natural language, gathers context, takes action, and explains what it is doing at every step — handling self-service requests, policy questions, and ticket creation within a single interface personalised by role and location. As a scheduled assistant, it runs quietly in the background to handle periodic tasks such as data hygiene, compliance checks, or proactive notifications, delivering outputs where they are needed without manual triggering. As a pluggable skill, it exposes focused HR capabilities — looking up a payslip, validating a policy, raising a ServiceNow ticket — that any larger enterprise agent can call on demand, extending existing workflows without rebuilding them.
The platform integrates natively with HR systems, document repositories, and service desks through open MCP (Model Context Protocol) support. Connecting a new tool — SharePoint, ServiceNow, Microsoft 365, Slack, or any internal system — takes minutes, not weeks. Once connected, its capabilities are immediately available across every workflow in the platform.
For HR teams, a dedicated back-office environment makes it possible to build and evolve the knowledge graph without technical expertise. A guided wizard helps curate the organisational ontology from existing documents, while an analytics dashboard tracks request volumes, resolution times, human escalations, and knowledge gaps — giving HR the insight to continuously improve the assistant based on real usage.
By grounding AI assistants in a shared, structured map of your organisation and connecting them to the tools they need to act, the solution reduces administrative burden, improves employee satisfaction, and scales with organisational growth.
Technical Implementation
Knowledge Graph and Organisational Ontology A structured knowledge graph encodes your organisation's roles, processes, policies, and relationships. The ontology is built from your existing documents in a guided wizard, reviewed by your team, and promoted to a shared authoritative model that drives reasoning across all assistants — ensuring every answer is grounded in how your organisation actually works.
Conversational AI
Engages employees in natural language, personalising responses by role, location, and organisational context drawn from the knowledge graph.Three Interaction Modes
Supports conversational, scheduled/batch, and skill-based operation, so the right mode is matched to the right HR process — from real-time employee queries to overnight data tasks to pluggable capabilities for broader agent workflows.Dynamic Knowledge Management
HR teams can upload, edit, test, and version documents and FAQs through an intuitive back-office interface, with changes reflected immediately in the ontology and in assistant behaviour — no technical expertise required.Native MCP Integration
Open-standard connectivity to any MCP-compatible tool (ServiceNow, SharePoint, Microsoft 365, Slack, and custom internal systems), with a live-test catalogue that shows available capabilities before committing any connection.Multilingual Support
Employees can interact in multiple languages, ensuring consistent support across a global workforce.Human-in-the-Loop Controls
Every sensitive action — policy exceptions, personal data changes, escalations — pauses for explicit human approval before proceeding.Full Auditability
Every action is logged and explained, supporting compliance, governance, and continuous improvement.Privacy by Design
Personal information is processed responsibly and anonymised where appropriate, with rigorous data privacy measures embedded throughout.
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