Talent Matching

Discover the right talent
through untapped insights.

Explore qualities, personality and potential to find the talent your project really needs.

AIKNOW Matching analyzes experience, interview recordings, evaluations and individual preferences alongside project requirements. It broadens the search beyond exact skill matches and explains recommendations, including inferred qualities and points to verify. Your team makes the final selection.

MATCH DEPTH
Exact match Recorded evidence of the specified skill
Equivalent skill Related skill identified in the configured ontology
Transferable skill Possible transfer from a related skill, requiring verification
Potential Adjacent experience suggests a candidate to assess, rather than confirmed readiness
CHALLENGES

Connect Fragmented Talent Information
to Project Requirements.

Project staffing requires comparing available evidence about people with the skills, roles, and conditions a project needs. Fragmented records and inconsistent terminology can make this comparison time-consuming.

01

Talent information is scattered

Skill sheets, career histories, past projects and evaluations sit in different places, so just working out who can do what takes time.

02

Skill names alone do not show fit

Fit depends on a combination of industry and project experience, roles and adjacent skills. Searching by criteria alone can miss strong candidates.

03

Search and judgment depend on individuals

The more candidates there are, the heavier the work of comparing and checking them. Deciding whether someone fits a project also depends on the experience and tacit knowledge of the person in charge.

HOW IT WORKS

Compare Requirements, Experience, and Matching Criteria.

AIKNOW Matching structures project and talent information, retrieves candidates, and compares them against configured criteria. Data sources, skill relationships, and evaluation weights are set for each deployment.

01

Structure Project Requirements

Analyzes project documents and available client history to identify stated expertise, roles, experience, and conditions. Additional requirements suggested from past projects are hypotheses to confirm with the client, rather than established requirements.

02

Analyze Talent Information

Analyzes authorized skill profiles, career histories, interview recordings, client evaluations, stated preferences, and project roles and experience. It organizes recorded information and derives candidate assessments from it. Inferred qualities, including communication or leadership, require verification against the underlying evidence.

03

Evaluates against your own criteria

Criteria and weights are configured for the project. Scores summarize alignment with those criteria and available information; they are not an objective measurement of ability or a probability of project success.

Skills | Industry and domain | Project experience | Role | Communication | Leadership | Availability

04

Recommends with reasons

Presents supporting information, recommendation reasons, concerns, and points to verify alongside the fit score. Reviewers assess the evidence and make the final selection; the system does not automatically select candidates.

WHY AIKNOW MATCHING

Explore Candidates Beyond Exact Skill Matches.

The configured skill ontology links related concepts so searches can include relevant adjacent experience. A skill relationship suggests a candidate for review; it does not establish that skills are interchangeable or that the person is ready for the role.

A skill ontology in which the candidate-side and job-demand-side skill graphs intersect
Conceptual illustration: candidate and project skills linked through configured relationships to identify possible matches for assessment.
01 / SKILL RELATIONSHIP

Understands skills through relationships

A configured network links similar skills, prerequisites and broader areas of expertise to support candidate discovery.

Similar / substitutePrerequisiteTransferableRelatedBroader / narrower
02 / POTENTIAL MATCH

Widens the search to potential

Includes candidates with related skills or similar project experience where the configured relationships support the search. Transferability, required training, and readiness for the assignment need assessment.

Exact matchEquivalent skillTransferable skillPotential
03 / EXPLAIN

Show Evidence and Verification Points

Presents the basis for recommendations and highlights gaps or concerns for review. Users should verify inferred assessments and current information before deciding; a generated explanation does not itself validate a match.

Compare recorded skills, adjacent experience, and requirements that need verification.

FROM PERSON TO TEAM

Compare Individual Candidates
and Team Combinations.

TEAM BUILDING

Build teams that complement each other

Searches by required role and proposes combinations with complementary recorded experience. Reviewers confirm role coverage, availability, working arrangements, and remaining gaps before forming a team.

From “Who is the right fit?” to “Which abilities should we combine?”
MATCHING KNOWLEDGE

Keep Profiles Current

New source information and feedback automatically update talent, client, and project profiles. The skill ontology is not updated automatically. Reviewers can use updated profiles and their supporting information when assessing recommendations.

Use updated profiles as evidence for subsequent matching and review.
BUSINESS VALUE

Three ways AIKNOW Matching creates value

01

Reduce Repeated Comparison Work

Structured profiles, candidate search, and comparison can reduce manual preparation. Time savings depend on data coverage, integration, and the review process.

02

Broaden Candidate Discovery

With the skill ontology, it searches beyond exact skill matches to similar, related and transferable practical abilities.

This can surface candidates whose relevant experience is recorded under different terminology, subject to verification.

03

Make talent selection an organizational capability

Shared criteria, supporting evidence, and project records give teams a common basis for candidate review. Updated profiles support reuse, while people retain responsibility for decisions.

USE CASES

From finding people to assignments and team building.

Applications include internal assignments, staffing services, and project team planning. Suitability depends on available records, the configured skill ontology, and the criteria and review process for the engagement.

Discovering and redeploying internal talent

Identifies internal candidates with relevant recorded or adjacent experience for review, including opportunities that may require development or further assessment.

Project assignment

Compares project requirements with people’s experience and practical abilities, and presents assignment candidates with reasons.

Project team building

Searches for candidates across multiple roles and helps form teams whose practical abilities complement each other.

Staffing and engineering services (SES)

Compares projects and candidates quickly, and supports proposals that include recommendation reasons, concerns and points to verify.

From Skills to Capability

Explore AI-Assisted Matching
for Your Projects and Teams.

Tell us about your project requirements, talent records, and selection process.
We can demonstrate AIKNOW Matching and assess the data, ontology, and review criteria needed to support assignment and team-building decisions.

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