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AI-Powered Talent Intelligence

Find the Right Candidate —
Not Just Keywords

Go beyond exact-match search with contextual AI that understands skill relationships, discovers adjacent talents, and shows probability-based match scores — built natively on Microsoft Dynamics 365.

See Live Demo How It Works
94% Match Accuracy
500+ Skill Relationships
D365 Native
dynamics.com / hr / intelligent-search
AI Search
PythonMachine LearningAzure MLData Science+ Adjacent Skills
AI-Ranked Candidates
JR
Jordan R.
Data Scientist · 5 yrs
94%
PythonAzure MLTensorFlow
Adjacent: scikit-learn, Power BI
MS
Maya S.
ML Engineer · 4 yrs
88%
PythonPyTorchDocker
Adjacent: Azure Databricks, Spark
AT
Alex T.
AI Specialist · 3 yrs
76%
PythonNLPLLMs
Adjacent: FastAPI, HuggingFace
94%
Match Accuracy
Faster Shortlist
500+
Skill Nodes
60%
Less Time-to-Hire
0
% Candidate Match Accuracy
Faster Shortlisting
0
% Reduced Time-to-Hire
500+
Skill Relationships Mapped
Semantic Query UnderstandingSkill Knowledge GraphProbability Match ScoreAdjacent Skill DiscoveryReal-Time Ranked ResultsBias-Aware MatchingRecruiter AnalyticsConfigurable Taxonomy Semantic Query UnderstandingSkill Knowledge GraphProbability Match ScoreAdjacent Skill DiscoveryReal-Time Ranked ResultsBias-Aware MatchingRecruiter AnalyticsConfigurable Taxonomy
The Process

How Contextual AI Search Works

Three intelligent layers that transform how you find the right person for every role.

1
Semantic Query Understanding
The AI interprets your search intent — not just keywords. "Senior Python developer with cloud experience" is understood as a full skill profile, not a text-match string. Natural language queries become structured skill maps.
2
Adjacent Skill Graph Traversal
A knowledge graph maps thousands of skill relationships. Python → pandas, numpy, scikit-learn, Azure ML. The system automatically surfaces candidates with adjacent expertise, expanding your talent pool without lowering standards.
3
Probability Match Scoring
Every candidate receives an AI confidence score (0–100%). The score combines direct skill matches, adjacent skills, experience alignment, and role context for transparent, explainable ranking every time.
Real-World Applications

Use Cases Across Your Organisation

From external hiring to internal mobility, AI search powers smarter talent decisions at every stage.

🎯
External Candidate Recruitment
Search job applications and external talent pools with contextual AI. Surface candidates who have the right foundation even when they don't match every keyword. Rank by AI confidence score before human review.
Talent Acquisition
🏢
Internal Talent Mobility
When an internal role opens, identify current employees with adjacent or transferable skills. Reduce external hiring costs and improve retention by promoting from within based on AI-scored capability alignment.
HR / People Ops
Project & Team Assembly
Building a cross-functional team for a new project? The AI identifies the best skill combinations across departments, suggesting individuals whose adjacent skills complement each other for maximum effectiveness.
Resource Planning
Staffing Agency Operations
Staffing agencies instantly match client requirements to their candidate database. AI adjacency search surfaces hidden gems — candidates who can step into roles they haven't directly held but are clearly capable of.
Staffing & Recruiting
Platform Capabilities

9 Intelligent Features Built for Scale

Every feature is designed to reduce bias, improve accuracy, and give recruiters genuine AI superpowers.

Contextual AI Engine
NLP-driven query understanding translates natural language role descriptions into structured skill profiles for precision matching across your entire talent database.
Skill Knowledge Graph
500+ skill nodes with weighted adjacency relationships, continuously updated from real-world hiring data and industry trends. Extendable with your own taxonomy.
Probability Match Score
Every candidate ranked 0–100% with transparent breakdown: direct skill score, adjacent skill bonus, experience fit, and role context alignment. No black-box decisions.
Adjacent Skill Discovery
Automatically surfaces candidates with related, transferable, or complementary skills — expanding your talent pool without lowering standards or compromising quality.
Real-Time Ranked Results
AI-ranked shortlists generated in seconds across thousands of profiles. Recruiters review the best matches first, every time — no manual sifting required.
Dynamics 365 Native
Runs natively within D365 HR, Talent, and CRM modules. No separate system, no data migration — your talent data stays where it lives, fully secure.
Bias-Aware Matching
Skill-based scoring with configurable diversity controls ensures your shortlists reflect capability, not just credential pattern-matching or demographic proxies.
Recruiter Analytics Dashboard
Track search quality, match rate trends, skill gap analysis, and time-to-shortlist metrics in a purpose-built D365 dashboard. Measure ROI from day one.
Configurable Skill Taxonomy
Extend the built-in skill graph with your industry-specific skills, internal competency frameworks, and custom adjacency weights — fully tailored to your hiring context.
Performance Benchmarks

Measurable Outcomes

Metrics from production deployments across enterprise HR and staffing organisations.

Contextual Match Accuracy97%
Adjacent Skill Discovery Rate94%
Reduction in Time-to-Shortlist89%
Hiring Manager Satisfaction92%
Industry Coverage

Built for Every Industry That Hires

The AI adapts its skill graph to your industry's specific talent landscape.

Technology & IT
Healthcare
Banking & Finance
Manufacturing
👥Staffing & Recruitment
Education & Public Sector
Implementation

Go Live in 5 Focused Weeks

A structured, low-disruption deployment that has your team running AI-powered searches fast.

1
Week 1
Discovery
Audit current search workflows and define skill taxonomy requirements.
2
Week 2
Environment Setup
D365 environment prep, Azure AI provisioning, and security baseline.
3
Week 3
Configuration
Skill graph customisation, AI model tuning, and UI integration.
4
Week 4
UAT & Training
Recruiter training, hiring manager demos, and A/B match quality testing.
5
Week 5
Go-Live Support
Hypercare support, performance monitoring, and first-month optimisation.
Business Impact

ROI on Your First Hire

Clients report these outcomes within 60 days of go-live across all industry verticals.

94%
Candidate match accuracy from day one
Faster shortlisting vs keyword search
60%
Reduction in overall time-to-hire
500+
Skill relationships auto-mapped at launch
FAQ

Frequently Asked Questions

How is contextual skill matching different from keyword search?
Traditional keyword search only finds exact matches. Our AI understands skill relationships — knowing that a Python developer likely knows pandas, numpy, and data science, even if not explicitly listed in their profile. You find qualified candidates keyword search would miss entirely.
What does the match percentage score mean?
The match score is a probability-based AI assessment combining direct skill matches, adjacent skills, experience level alignment, and contextual role fit. 90%+ indicates an excellent fit; 75–89% indicates a strong candidate worth a closer look.
Can it handle internal candidate searches?
Yes. The accelerator integrates with Dynamics 365 HR modules to search your internal talent pool, identifying employees with transferable skills for open roles — supporting internal mobility and succession planning at no extra licence cost.
Which industries is this suitable for?
Any industry with skill-based hiring: IT, healthcare, engineering, finance, manufacturing, staffing agencies, and professional services. The skill graph is fully configurable for any domain's specific terminology and competency frameworks.
How does adjacent skill discovery work?
The AI maintains a knowledge graph of skill relationships trained on millions of job profiles. When you search for 'React Developer', it also surfaces candidates with Vue.js, Angular, or TypeScript expertise as adjacent matches — expanding your pool without lowering standards.
What is the typical implementation timeline?
Standard deployment takes 4–6 weeks: 1 week discovery, 1 week environment setup, 2 weeks configuration and AI training, 1 week UAT, and 1 week go-live hypercare support. More complex enterprise deployments may extend to 8 weeks.
Get Started
Find the Right Candidate — Every Time
See how AI contextual search transforms hiring quality and speed in a live personalised demo. Built natively on your existing Dynamics 365 investment.