AI Workforce Skills Intelligence

    Manage Skills.Build the AI Workforce.

    The AI era runs on skills, not titles. We map, measure, and activate the capabilities your workforce needs to work with AI: from AI literacy and prompting to judgment, workflow redesign, and responsible use. A skills first operating system for talent decisions.

    The Skills Operating System for AI Era Work

    A modern skills platform does four things at once: creates a unified skills graph, powers skills based decisions, identifies and closes gaps, and personalizes development for every employee.

    Skills Graph for the AI Era

    Build a unified skills taxonomy that covers AI capabilities, domain expertise, and human skills. One source of truth for hiring, mobility, and development.

    Skills Based Matching

    Match people to roles, projects, and career paths based on what they can actually do, including their AI readiness and adjacent skills.

    Skills Gap Intelligence

    See exactly where AI capabilities are missing or uneven across teams, roles, and geographies. Prioritize investment where it moves the business.

    Personalized Skills Development

    Turn every skills gap into a clear growth path. From prompt engineering labs to workflow redesign challenges, development is targeted and measurable.

    Skills lifecycle

    A Full AI Skills Cycle, Tailored to You

    We adapt every step to your skills taxonomy, AI transformation roadmap, and talent strategy. From skills discovery to skills activation, the cycle closes in one platform.

    01
    ~1 week

    Map AI Era Skills and Roles

    Align on the skills that define AI augmented roles in your organization and what this cycle must achieve end to end.

    • Define use cases: skills mapping, AI readiness, reskilling, promotion, mobility, succession, hiring.
    • Map current and target skills for each role family in an AI augmented operating model.
    • Lock the cycle stages, evaluation rules, and reporting model.
    • Set the timeline for the full skills cycle.
    02
    ~1 week

    Build the AI Skills Assessment

    Refresh the evaluation instrument so it measures the skills that matter in AI augmented work.

    • Add AI skills dimensions: AI literacy, prompting, judgment, workflow redesign, responsible use, impact.
    • Validate coverage across every role family undergoing AI transformation.
    • Align language to your skills framework, values, and target behaviors.
    03
    ~1 week

    Configure Skills Intelligence

    Set up the skills platform and design the evaluation map for this cycle.

    • Adapt the digital skills system to your taxonomy and AI era model.
    • Build the evaluation map: employees, evaluators, and the relationships between them.
    • Resolve edge cases: matrix evaluations, tenure in role, indirect evaluations, and AI native squads.
    04
    ~1 week

    Enable Skills Based Conversations

    Bring managers and employees into the cycle with a shared language for skills and AI readiness.

    • Refresh communication assets for the new cycle and the AI skills layer.
    • Run an evaluator workshop on feedback craft, behavioral tools, and how to coach AI skill building.
    05
    2 to 4 weeks

    Run Skills Evaluations

    Execute the full cycle in a virtual workspace, with skills signals baked into every profile.

    • Managers assess skills for their teams, including the AI capability dimensions.
    • Employees complete self assessments covering both performance and AI skills.
    • All participants run end to end in the virtual platform with role based access.
    • Managers hold structured feedback conversations using the skills based playbook.
    06
    ~2 weeks

    Analyze, Present and Activate Skills

    Turn skills data into clear narratives leadership can act on, with AI readiness front and center.

    • Analyze skills data and AI capability signals once the cycle closes.
    • Produce an organizational deck with comparisons to the previous cycle where possible.
    • Deliver unit level decks and a workforce AI skills map on demand.

    Indicative Timeline

    Step 01
    Map AI Era Skills and Roles
    ~1 week
    Step 02
    Build the AI Skills Assessment
    ~1 week
    Step 03
    Configure Skills Intelligence
    ~1 week
    Step 04
    Enable Skills Based Conversations
    ~1 week
    Step 05
    Run Skills Evaluations
    2 to 4 weeks
    Step 06
    Analyze, Present and Activate Skills
    ~2 weeks

    Skills Activation Support

    We build a skills development plan based on the findings and accompany you through implementation. Several parallel development programs can be built, tailored to the different populations in the organization and to the results of the skills cycle.

    Manager Development Program

    Targeted growth paths for managers identified through the cycle, leadership, feedback craft, decision quality.

    Talent and High Potential Track

    A dedicated program for identifying, retaining, and accelerating top talent across the organization.

    AI Capability Program

    Role specific upskilling tied directly to the AI gaps surfaced by the assessment, with measurable outcomes.

    Skills Gap Engine

    Detect Skills Gaps. Close Them.

    Traditional talent data tells you where people sit. We add a skills layer to every profile so you can see what your workforce can do today, what it needs for AI augmented work, and how to close the gap with precision.

    AI Literacy

    Does the employee understand what modern AI can and cannot do, and where it fits in their role?

    Prompting and Tool Use

    Can they get high quality outputs from copilots, chat assistants, and domain specific AI tools?

    AI Judgment

    Do they evaluate AI outputs critically, catch hallucinations, and apply the right level of trust?

    Workflow Redesign

    Are they rethinking their workflow around AI, not just bolting AI on top of the old one?

    Responsible Use

    Do they handle data, privacy, IP, and compliance correctly when using AI in real work?

    Impact and Velocity

    Is AI use translating into measurable outcomes, faster cycles, higher quality, new capability?

    How We Close Skills Gaps

    Step 1

    Diagnose

    Map each employee on an AI capability profile across literacy, tool use, judgment, and workflow integration. Benchmark against role expectations and peers.

    Step 2

    Prioritize

    Identify the highest leverage gaps per team and per role family. Separate quick wins from deeper capability shifts that need a structured program.

    Step 3

    Develop

    Match employees to personalized AI upskilling paths, prompt practice, tool specific labs, role based playbooks, and on the job challenges.

    Step 4

    Embed and Measure

    Re assess after each cycle. Track progress in real workflows and connect AI capability growth to business KPIs.

    92%
    Predictive Reliability for AI Skills
    8x
    Faster than Manual Skills Mapping
    60%
    Lower Cost per Skill Decision
    24h
    Time to First Skills Insight
    AI Skills Ranking

    Where Your Workforce Stands on AI Skills

    An anonymized view of the AI skills that matter most in your organization, ranked from largest gap to strongest capability. Track skills progression cycle over cycle and connect it to business outcomes.

    Workflow Redesign Around AI
    2.6
    Prompt Engineering Depth
    2.8
    Critical Evaluation of AI Output
    3.0
    Human AI Collaboration
    3.1
    Data and Context Literacy
    3.2
    Continuous Learning Velocity
    3.3
    Cross Functional Orchestration
    3.4
    Problem Framing with AI
    3.5
    Communication of AI Driven Insight
    3.6
    Judgment Under Uncertainty
    3.7
    Cognitive Flexibility
    3.8
    Initiative in AI Adoption
    3.9
    Resilience Under Rapid Change
    4.0
    Responsible and Ethical AI Use
    4.1
    Domain Expertise Applied to AI
    4.2
    Customer and Stakeholder Empathy
    4.3
    0Scale 0 to 55
    AI Interview Output

    Per Skill, Per Person

    Every assessment produces a structured breakdown by skill, with a transparent score and evidence based summary that managers and talent teams can act on directly.

    AI Tool Fluency

    2.9

    Familiar with mainstream copilots; not yet redesigning workflows around them.

    Prompt Engineering

    3.1

    Writes functional prompts; growth opportunity in chaining, context, and evaluation.

    AI Judgment

    3.4

    Catches obvious hallucinations; deeper verification habits still forming.

    Human AI Collaboration

    3.6

    Delegates well to AI; sharper hand off design would multiply output.

    Workflow Redesign

    3.2

    Bolts AI onto existing process; not yet rethinking the process itself.

    Learning Velocity

    4.1

    Picks up new AI tools quickly and shares patterns with the team.

    Responsible AI Use

    4.0

    Strong instincts on data, privacy, and IP boundaries in AI workflows.

    Impact and Velocity

    3.5

    Delivering measurable time savings; outcome quality lift still emerging.

    Role Profile Comparison

    Match Skills to AI Era Roles

    Compare a person's skills profile against the reference profile of any role. Surface mismatches, mobility opportunities, and hidden AI talent in minutes instead of months.

    AI Tool FluencyPrompt EngineeringWorkflow RedesignCustomer EmpathyInitiativeCognitive FlexibilityProcess DisciplineData Quality ControlResponsible AI UseContinuous Learning
    AI Native Sales Profile

    Strong in AI tool fluency, prompt engineering, workflow redesign, and customer empathy. Lower on rigid process discipline.

    AI Augmented Operations Profile

    Strong in process discipline, data quality control, and responsible AI use. Lower on initiative and workflow reinvention.

    Smart Routing Insight

    When an operations employee shows an AI native sales skills profile, the system flags a mobility opportunity, with a recommended AI upskilling path to close the residual gap.

    Personal Performance Report

    An Honest Skills Snapshot for Every Employee

    Each employee receives a structured skills profile combining a composite score, AI capability breakdown, and a narrative summary, ready for coaching and career conversations.

    Composite Score
    3.7
    Sample illustrative profile
    AI Tool Fluency
    3.6
    Prompt and Workflow Design
    3.2
    AI Judgment and Verification
    3.5
    Human AI Collaboration
    4.0
    Responsible AI Use
    4.2
    AI Narrative Summary

    Strong human AI collaboration and responsible use habits, with measurable velocity gains across recurring workflows. Highest leverage growth areas are prompt and workflow design, well within reach through a focused twelve week AI capability track.

    Adapted to Every AI Transforming Industry

    The framework flexes to your sector, role families, and the specific shape AI is taking in your business. A few of the worlds we adapt it to:

    Banking and Financial ServicesInsuranceTelecomHealthcare and PharmaTechnology and SaaSRetail and E commerceManufacturing and IndustryEnergy and UtilitiesPublic SectorProfessional ServicesEducationLogistics and Supply Chain

    Ready to Build a Skills First AI Workforce?

    Let us design your AI skills taxonomy and connect it to hiring, mobility, development, and workforce planning.