Skills are invisible at scale.
We make them legible.
A capability signal infrastructure for the AI-native workforce
DKCP is a platform that measures how effectively individuals operate AI-enabled systems — producing verifiable capability signals at scale.
Official Partnership — MINICT Rwanda
Deployed under the National Digital Talent Strategy · 2026
THE PROBLEM
Skills are measured by certificates. Not by evidence.
Employers can't trust credentials they can't trace. Governments can't invest in skills they can't see. Learners can't improve without a signal.
Credentials without evidence
Certificates show completion, not competency. Employers have no way to verify what a candidate actually knows.
No signal at the national scale
Governments cannot see capability gaps across sectors. Investment decisions rely on surveys, not data.
AI capability has a short half-life
The ability to operate AI-enabled systems changes faster than any credential can track. Yesterday's measurement is already stale.
The model of work has changed
AI systems now perform execution. Humans are responsible for guiding, validating, and controlling them — but we have no way to measure that capability.
THE SOLUTION
A capability signal infrastructure.
DKCP does not replace your systems. It provides the measurement layer across them — capturing, evaluating, and publishing a verifiable capability signal from real-world execution.
THE SHIFT
Work is no longer defined by tasks.
It is defined by system operation.
Modern professionals do not execute every step. They orchestrate intelligent systems that do.
As AI systems take on execution, human responsibility shifts to orchestration, validation, and control.
Capability is no longer what you know.
It is how effectively you operate intelligent systems.
Orchestration
Guide AI systems toward the right outcome — defining objectives, constraints, and validation criteria.
Validation
Evaluate AI-generated outputs for correctness, safety, and fitness for real-world deployment.
Control
Operate AI systems reliably under adversarial conditions, edge cases, and production constraints.
"This is what must be measured."
Who can guide, validate, and control AI systems in real environments.
CAPABILITY PROFILES
Capability is not a job title.
It is not a course.
A Capability Profile defines what it takes to operate a system in practice. Each profile represents a structured set of competencies required to execute real work in an AI-enabled environment.
Each profile is measurable. Each profile produces a signal.
EXAMPLE PROFILE
AI-Assisted Application Refactoring
Measures the ability to:
- Orchestrate coding agents toward a defined refactoring goal
- Validate AI-generated code for correctness and safety
- Refactor legacy systems without breaking existing behaviour
- Maintain system integrity across automated changes
EXAMPLE PROFILE
LLM API Integration
Measures the ability to:
- Design prompt structures for reliable, reproducible outputs
- Evaluate and select models for production use cases
- Handle failure modes, hallucinations, and latency constraints
- Instrument and monitor LLM behaviour in live systems
EXAMPLE PROFILE
AI Security & Red-Teaming
Measures the ability to:
- Identify prompt injection and adversarial attack surfaces
- Design mitigations for known LLM vulnerability patterns
- Conduct systematic red-team exercises on AI pipelines
- Document findings in audit-ready format
We don't measure knowledge. We measure execution.
DKCP is the measurement layer across your workforce systems.
WHAT WE MEASURE
Five signal layers. One verifiable score.
Every Capability Profile is evaluated across five signal layers — producing a composite score that is auditable, explainable, and comparable.
Outcome Correctness
Did the solution meet the stated objective?
AutomatedTrajectory Quality
Did the reasoning path reflect sound problem-solving?
LLM-as-JudgeEfficiency
Was the solution completed within acceptable resource constraints?
ProfiledSafety Adherence
Did the approach avoid harmful or insecure patterns?
Red-TeamedCode & Prompt Quality
Does the output meet professional quality standards?
ReviewedSignal Layer Averages — Rwanda Cohort April 2026
Composite scores across all assessed learners
WHO IT'S FOR
Built for every stakeholder in the skills ecosystem.
A national skills thermometer.
For the first time, governments can see — in real time — where national competency stands, where the gaps are, and where to direct investment.
MINISTRY DASHBOARD
🚨 Critical Gap Detected
AI/LLM Security · Cybersecurity Track
THE PLATFORM
One platform. Three perspectives.
Ministry officials, employers, and learners each see a tailored view — all derived from the same underlying competency signal.
HOW IT WORKS
Measure once. Signal everywhere.
Three phases convert a raw challenge attempt into a verifiable, multi-stakeholder signal.
Define
Competencies mapped to industry evidence, reviewed by practitioners, calibrated with empirical data from real job performance.
Assess
Challenges run in a controlled sandbox. Every action is trace-captured — not just the result. Multi-layer scoring is applied: automated, LLM-as-judge, and human review.
Signal
Results flow to the learner profile, ministry dashboard, and employer pool simultaneously — all from a single submission.
TRUST TIERS
Not all certifications are equal.
Each tier represents a different level of evidence behind the capability signal — from self-assessed to government-endorsed.
Rwanda’s digital economy requires talent that can be measured, not just described. Leanovated gives us — for the first time — a living signal of where our national workforce stands, competency by competency.
METHODOLOGY
Transparent by design. Defensible by evidence.
Open competency framework
Every domain and competency is published, versioned, and open for public review. No black box — the scoring criteria are documented.
View Framework →Empirically calibrated
Competencies are revised if they don't differentiate between performers. Scoring rubrics are calibrated against real practitioner performance.
View Methodology →Every score is traceable
Employers can navigate from a percentage score down to individual step-level evidence. Auditors can verify the entire chain.
See the Platform →Join the first national talent signal network.
Whether you govern it, hire from it, or earn your place in it — there’s a starting point for you.
Deploy at the national scale
Establish a sovereign workforce intelligence platform — free in grant-funded deployments. Get a national competency dashboard and a credential your citizens can trust.
Access the validated talent pool
Get employer access to the growing pool of certified, signal-backed candidates. Post role profiles, set competency thresholds, and receive matched shortlists — not CVs.
Earn a signal employers can read
Start with a free Bronze assessment in any of six technical tracks. See exactly where you stand, what to improve, and which employers are looking for your profile right now.