People Intelligence Platform

Uncover the skills, gaps, and potential your HRIS will never show you.

HR doesn’t have a tools problem. It has a data problem. Get Ikigai collects HR data, maps skills, identifies gaps, and turns every insight into a concrete next step: hire, reskill, promote, or plan — compliant by design.

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Every function has its system of intelligence. HR has a spreadsheet.

Finance, Sales and Supply Chain long ago made the jump from records to intelligence. HR is still copy-pasting from three systems into a single slide.

Finance Bloomberg
Sales Salesforce
Supply chain SAP
HR Excel & gut feel
The result

Your CEO commits to transformation without knowing what skills exist. Your CFO wants workforce KPIs. Your board asks about gaps. Meanwhile you’re consolidating spreadsheets — and talent stays invisible until it walks out the door.

Three massive shifts every people leader is already worried about.

Regulation

EU Pay Transparency Directive — June 2026

Every role needs an auditable grading justification based on competencies, effort, responsibility, and working conditions. Most companies are still running this in spreadsheets. The clock is ticking and consulting projects take 6–12 months.

Market shift

AI-generated CVs are breaking recruiting

Every application now looks perfect on paper. Keyword matching is dead. Traditional pipelines surface noise, not signal. Talent Acquisition needs a new way to actually understand candidates.

Transformation

Lacking workforce transparency hinders transformation

Economic shifts demand agility, yet internal talent visibility remains practically zero. Restructuring and upskilling are impossible without a clear understanding of the workforce’s true capabilities. Companies are forced to guess at transformation instead of strategically mapping it.

What changes when you use Get Ikigai

The outcomes that make HR measurable, strategic, and ready for what’s next.

From gut feel to data-driven decisions

Make people decisions with the same confidence finance makes budget decisions. A complete, always-current picture of every skill, gap, and potential.

From reactive to proactive

Restructuring, growth, new markets — every change hits your workforce. See the impact in real time: what capabilities you have, what’s missing, and what to do about it.

Do more with the people you have

Fill roles internally before recruiting externally. Develop instead of hiring. Invest L&D budget where it actually moves the needle.

End-to-end talent management

Need assessment, Recruiting, onboarding, development, internal mobility, compensation architecture — connected in one platform.

HR doesn’t have a tools problem. It has a data problem.

Deep, structured intelligence across your entire organisation — gathered through conversations, not questionnaires.

1

Collect

AI chat interviews replace forms nobody fills out. 15–30 minutes, asynchronous, 80%+ completion rate. Three perspectives per person: employee, manager, executive.

2

Understand

Three perspectives synthesised into one always-current picture of your workforce. Skills mapped against 3,000+ ESCO taxonomy categories. Gaps identified, weighted, and projected over time.

3

Act

Every gap triggers a concrete next step: hire, reskill, promote, or plan. No insight without action. Scenario modelling shows you build vs. buy vs. reskill — with timelines and cost.

ikigai · System overview Open in new tab →

The AI proposes. People decide.

Every insight is traceable back to its source interviews. Every action is a suggestion, not a trigger. The platform is built to work with your governance, not around it.

The AI becomes every manager’s strategic partner

Managers don’t just see dashboards — they interact with an AI that knows their team, their gaps, and their goals.

Recruiting
Transformation
Team Development
Project Staffing

Manager runs recruiting end-to-end

No more waiting for recruiters to coordinate. The manager handles briefing, reviewing, interviewing, and deciding — with AI support at every step.

1
AI Briefing: 20-min chat. AI asks structured questions, gives reality checks.
2
Internal First: System surfaces internal candidates before posting.
3
Interview Prep: Per candidate: AI-generated briefing with key questions.
4
Post-Interview: AI captures structured feedback. Ranking updates dynamically.
5
Decision: Candidates ranked by fit with all data aggregated.

What the manager gets

Realistic job requirements (no more unicorn wishlists)
Internal candidates surfaced before external search
Prepared for every interview — candidate-specific questions
Dynamic ranking that updates with each new data point
Self-sufficient — recruiter shifts from coordination to strategy

Manager navigates a transformation

Department restructuring, new technology adoption, market expansion — the AI helps the manager understand what their team can handle and what they need.

1
Strategy Chat: Manager describes the transformation goal. AI maps it to required capabilities.
2
Team Assessment: Shows which team members have relevant skills and who’s interested.
3
Gap Timeline: Which capabilities are missing, when they become critical.
4
Action Plan: Per gap: develop, hire, or borrow — with costs and timelines.
5
Scenario Simulation: “Develop all internally” vs. “hire” — side-by-side comparison.

What the manager gets

Clear picture of team readiness for the change
Gaps traced back to specific strategic goals
Quarterly action plan — not a one-time slide deck
Cost and timeline comparison for every option
Data to justify headcount requests to leadership

Manager develops their team strategically

Not generic training catalogs — personalized development plans tied to team goals and individual career aspirations.

1
Team Overview: Each team member’s profile: skills, goals, progress, and perspective differences.
2
Gap Identification: Where are they vs. role requirements? Vs. their career goal?
3
Development Plans: AI-generated personalized plans with L&D matched to gaps.
4
Progress Tracking: Completed training updates skills automatically.

What the manager gets

Knows each team member’s actual capabilities and ambitions
Spots where employee and manager see the role differently
Personalized development plans — not one-size-fits-all
L&D tied to business need
Retention signal: employees who see a path stay

Manager staffs a project with the right people

Need specific skills for a 3-month project? The system finds them across the organisation.

1
Define Need: Manager describes the project and required capabilities in a chat.
2
Cross-Team Search: AI searches across all departments based on deep interview data.
3
Availability Check: Shows current workload and manager contact info.
4
Temporary Assignment: System tracks the project loan. Both managers see the arrangement.

What the manager gets

Find talent in departments you’ve never talked to
Skill-based matching, not “who do I know” networking
Internal freelancer market — borrow before you hire
Cross-department collaboration that wouldn’t happen otherwise
See it on your data →

Faster, richer, and actually used.

Three reasons Get Ikigai delivers where traditional HR projects stall.

Faster than any HR process before

AI chat instead of forms and workshops — data in days, not months. Async, pausable, no scheduling required.

Richer than self-assessment alone

Employees, managers, and leadership in one consistent picture. Bias and blind spots counteracted and reduced.

Simple enough that people actually use it

15–30 minute chat, immediate next actionables, automated applications → Minimal friction, high interaction rates.

See what happens end-to-end.

Four scenarios. From AI interviews to findings to actions.

Sales Scaling
Career Pivot
Grading & Compliance
Cloud Transformation

VP Sales needs 5 AEs. The AI catches a problem.

Scenario · illustrative case study

Manager Interview
VP Sales: “I need 5 senior AEs with enterprise SaaS experience, fluent German/English, 50% travel, 500K+ ARR track record.”
AI follow-up: “Which of these requirements actually predict success?”
Reality Check
AI Finding: This profile = ~120 candidates in DACH. ~30 reachable at your salary band. Meanwhile, your top AE doesn’t match 3 of these 5 “must-haves.” Your requirements describe a wish list, not your success profile.
Employee Data
Interviews with current AEs: actual travel is 20% (not 50%), SaaS matters less than consultative selling, and 2 people on the Customer Success team expressed interest in sales.
Source: 8 employee + 2 CS team interviews
Actions & Result
TRANSFER Move 2 from CS to Sales (87% and 79% match)
HIRE Open 3 AE positions with adjusted requirements (pool: ~30 → ~450)
DEVELOP 4-week sales methodology onboarding for internal transfers

Result: 2 filled internally (faster, cheaper). 3 external hires with realistic requirements = faster pipeline, better fit.

Marketing analyst wants to move into data. The system finds the path.

Scenario · illustrative case study

Employee Interview
Sarah builds campaign dashboards in SQL, automates reports in Python, analyzes customer segments. She says: “I want to build the systems underneath, not just the reports.”
Matches Found
Junior Data Engineer (78%) — SQL and Python transfer directly. Gap: Airflow + cloud data services, closable in 3–4 months.

Analytics Engineer (72%) — Strong data modeling overlap. Gap: dbt + warehouse architecture, 4–5 months.
Qualifying Chat
When Sarah clicks “Express Interest”, the AI asks deeper questions: “You mentioned Python — have you worked with data quality frameworks?” This deepens her profile for that specific match.
Actions & Result
MATCH Sarah sees both roles with one-click application
DEVELOP Plan: Airflow (4 wk) + dbt (3 wk) + cloud services (6 wk)
BACKFILL Marketing reporting capacity gap flagged

Result: Sarah stays instead of leaving. Marketing gets advance notice. Hiring manager gets a candidate who already knows the data.

EU Pay Transparency compliance. 4 weeks, not 12 months.

Scenario · illustrative case study

Data Collection
AI interviews employees and managers about every role. 252 employees, ~3 weeks.
No consultants scheduling workshops. No forms.
AI Generates
Complete job architecture: 6 function families, 6 levels (P1–P6), salary bands, and an audit-ready justification for every grading.
Findings
4 pay equity issues caught:
1. Female engineers at P4 earn 8.2% less than male peers
2. Two sales roles perform identical work, banded 15K apart
3. One engineer above band ceiling
4. Sales P4 has 30% salary spread
Actions & Result
CORRECT Adjust 2 salaries: +4,800 and +6,200 EUR
UNIFY Merge two equivalent sales functions
REVIEW 4 flags in HR queue with one-click resolution

Result: Full compliance in 4 weeks. Auditable justification per role. Typical consulting: 6–12 months, 150K+ fees.

CEO says “cloud-native by 2027.” What does that mean for people?

Scenario · illustrative case study

CEO Interview
“Migrate all infrastructure to cloud-native by Q4 2027.”
Manager Interview
“My team can handle the application layer, but we have zero Kubernetes experience.”
Employee Data
2 of 14 have Docker experience. 1 used Terraform before. 3 expressed interest in cloud/DevOps.
Gap confirmed from all three sides.
Actions & Result
DEVELOP Q2: Cloud training for 3 internal candidates
HIRE Q2: 2 Senior Cloud Engineers
HIRE Q3: 3 mid-level
SCENARIO “All internal” = +5 months, -375K. “All external” = -5 months, +225K, market risk.

Result: A costed, quarter-by-quarter plan the CEO can sign off on.

Better. Faster. Leaner. Loved.

Better data

AI interviews capture what forms and spreadsheets never could — real skills, real context, three perspectives per person.

Faster results

From first interview to company-wide skill map in days. Actionable insights from day one.

Less work, not more

Data collected autonomously through AI conversations. No chasing managers, no manual aggregation.

Better experience

Employees feel heard. Managers feel enabled. Candidates feel respected.

One platform. Six ways to unlock your workforce.

See each use case live, in-product — with the data, the synthesis, and the one-click next step.

Not sure where to start? → Book a 15-min conversation

Start with your most pressing use case.

Every module is standalone. Data gathering and setup in a week. Expand whenever you’re ready — the same interview data powers every module.

Week 1

Pick your starting point

Recruiting? Pay grading? Workforce planning? Whichever is most urgent. Setup, integrations, and AI interview rollout happen in parallel.

Live in week one
Weeks 2–4

First results

Interview completion, first findings, first actions. Every finding links to a concrete one-click action.

Tangible outputs in weeks
Whenever

Add layers as needed

Add strategy input. Add more modules. Same interview data, more value. No re-implementation.

Ongoing, continuously improving

Works with the tools you already use.

SAP SuccessFactorsWorkdayPersonioGreenhouseSmartRecruitersLMS via API

Sandboxed, read-first architecture. No autonomous write-back without human approval.

Built for Europe. Compliant by design.

GDPR by Design

Data stays in Europe. No exceptions. Consent management, right to access and deletion, role-based access control, full audit trails.

EU AI Act Ready

Designed as a high-risk system from day one. Human-in-the-loop, bias detection, technical documentation. No emotion recognition — never built, never will.

Works Council Ready

Pre-approved question sets. Template Betriebsvereinbarung included. The Betriebsrat becomes an ally, not a blocker.

EU Pay Transparency

June 2026 deadline. Job architecture, grading reports, and pay gap analysis — delivered in weeks, not months.

FAQ

How long does implementation take?
Your first skill map is ready within days. No lengthy consulting project. No 6-month rollout.
What about our Works Council?
Get Ikigai includes a template Betriebsvereinbarung and pre-approved question sets. Your Betriebsrat becomes an ally, not a blocker.
Does it integrate with our existing HRIS?
Yes — SAP SuccessFactors, Workday, Personio, and others via API. Read-first, sandboxed architecture means your existing data is never at risk.
How is our data protected?
GDPR by design. Data hosted in Europe. No data used for model training without explicit consent. Full encryption at rest and in transit. Audit trails for every data access.
We already have Personio / SAP. Why do we need Get Ikigai?
Your HRIS records what happened. Get Ikigai reveals what’s possible. It’s the intelligence layer on top — not a replacement.