True CyberSkills development
Customized AI training anchored to your organization's policy, approved tools, specific roles and priorities, with proficiency measured through real work.
Capability statement v5.4
True CyberChampion at a glance
Customized AI training, AI engineering and AI governance for government and commercial organizations. Everything a contracting officer or program lead needs, in one place. Copy codes with one click or take the two-page PDF with you.
You can outsource learning to AI, but not understanding.
We teach people how to learn with AI, so their judgment grows instead of shrinking. Every program teaches people how to learn, question and verify, so AI makes them sharper rather than more dependent.
Who we are
True CyberChampion helps organizations adopt AI with confidence. We turn AI policy into everyday practice with customized, role-based training; we build and test AI systems that work in secure environments; and we give leaders the governance and evidence to stand behind every AI decision.
Your policyYour workforceYour risksYour scenariosCustomized training
3practices: skills, engineering and governance
Every roletasks analyzed, skills built for each job family
20 yearsleadership experience across government, big tech and consulting
Our methodology
Why we are unique
We did the research before we built the training. Studies of how adults learn, how skills transfer to the job and how people actually work with AI all point the same way: awareness does not become capability on its own. So we built a method around that evidence, the Capability Proof SystemTM.
- Training transferSkills move into work only when practice looks like the job.Our design: Work-Twin scenarios built from your roles
- Active learningPeople learn more by producing work than by watching an expert.Our design: DRILL labs: do first, then critique and improve
- Human–AI workAI helps on some tasks and quietly hurts on others; over-trust is the risk.Our design: Delegation Grid and planted-error trap tasks
- Spaced practiceSkills practiced once fade; spaced practice keeps them.Our design: 30/60/90-day micro-drills and check-ins
- Evaluation scienceSatisfaction scores say little about behavior or results.Our design: Proof Framework: before-and-after work samples
- Adult learningAdults learn best when training respects their expertise and solves real problems.Our design: Professionals adding a tool to their craft, with facilitators who show how they judge output
Our answer
The Capability Proof SystemTM: six stages, four integrated frameworks
From awareness to evidence. Every engagement moves through six stages in sequence, each ending with a quality check, while four integrated framework components run in parallel underneath. Select a stage to see how it works and which frameworks are at work.
↺ Evidence from each cohort informs the next
Stage 1 of 6
Policy, roles, baseline
Outcomes and emphasis
Work-Twins and traps
DRILL labs
Measured before/after
30/60/90 reinforce
Role SignatureTM — who needs what, and where AI can safely help
BELGICTM — what skills, weighted per role
DRILLTM — how skill is built
Proof FrameworkTM — baseline, trap catch rate, launch ledger, Evidence Report
Do · Reflect · Improve · Learn · Launch
Every stage ends in a quality gate that must pass before the next begins, and success is defined up front in a signed Outcome Contract.
Four integrated framework components
| Framework | The question it answers | What it produces |
|---|---|---|
| Role SignatureTM | Who needs what, and where can AI safely help in this role? | Role profile, task inventory, Delegation GridTM, Work-TwinTM scenarios |
| BELGICTM | Which AI capabilities matter most for this role? | Weighted capability emphasis per role group; learning objectives |
| DRILLTM | How does a capability become a habit inside a session? | Time-boxed practice cycles; principles written by learners; launched work |
| Proof FrameworkTM | Did it work, for whom, and how do we know? | Before-and-after work samples, trap catch rate, Launch Ledger, Evidence Report |
Role SignatureTMidentifies what matters
BELGICTMdecides which capabilities to develop
DRILLTMbuilds them through repeated practice
Proof FrameworkTMmeasures what learners can actually do
These four components work together as one integrated training framework. ↺ Continuous improvement: evidence from each training cohort informs the next, allowing us to continuously refine the curriculum, improve delivery and strengthen learning outcomes.
Why our methodology is unique
How our training methodology differs from other AI training
Most AI training on the market falls into three categories. Each has a place. None is built to produce and prove role-specific capability.
| Dimension | Awareness training | Tool training | Technical bootcamps | True CyberChampion’s Capability Proof SystemTM |
|---|---|---|---|---|
| Built from | Generic examples | Product features | Technical curriculum | Your roles, tasks and policy |
| Learner activity | Watch and listen | Follow along | Code | Produce, critique, improve, launch |
| Customization | Logo and examples | None | By skill level | Role profile, Delegation GridTM, Work-TwinsTM |
| Risk and policy | A slide of rules | Product settings | Varies | Practiced decisions with trap tasks |
| Audience | Everyone, the same way | Tool users | Developers | Every role, differently |
| Proof of impact | Completion, satisfaction | Completion | Projects | Before-and-after work samples, catch rate, launches |
| After the session | Nothing | Help articles | Alumni network | 30/60/90 reinforcement and a 90-day review |
The Outcome Contract
A one-page agreement signed in the Design stage that states what success means for each cohort in measurable terms, such as a target trap catch rate, the share of participants with a completed launch at 30 days and the improvement in work-sample quality. Targets are set with you from the baseline, not promised in advance.
Every participant leaves with three things they did not have that morning
- A launched work productA real memo, summary, analysis or draft, finished with AI under your rules.
- A personal Role PlaybookThe prompts, checks and principles they wrote themselves.
- A measured before-and-afterTheir own score on time, quality and safety on a task from their job.
Built on research in training transfer, active learning, spaced practice and human–AI work; measured with the Kirkpatrick model and the Success Case Method. See the full methodology, or page 2 of the capability statement PDF.
Three practices
AI engineering
Rapid prototypes, LLM and RAG systems, NLP, and independent AI test and evaluation, in cloud, air-gapped and classified settings.
AI governance
Responsible AI, NIST AI RMF alignment, AI return on investment, privacy in AI, algorithmic auditing and AI use-case management.
AI training for every role
We analyze the tasks each role performs, then build the AI skills that role needs, in person, virtual or hybrid. Select a role to see how we work.
What sets us apart
- Built around your organization.Your own AI policy, tools and job roles, not a generic course.
- Skills you can see.People practice on real tasks; we measure what they can do, not who attended.
- A proven, repeatable method.Our Capability Proof System, with BELGIC and DRILL, designs, delivers and proves AI skills.
- Government experience.Federal agencies, including small and micro agencies with lean teams.
- Builders, not only trainers.Our engineers build and test real AI systems.
Past performance
PBGCFederal agency
Developed the AI enablement strategy for the Pension Benefit Guaranty Corporation. We help the agency’s Enterprise Cybersecurity Department adopt AI responsibly, through role-based training and by identifying operational processes AI can optimize to improve the accuracy and consistency of work products while saving time and cost.
ISACATraining provider
As an ISACA training provider, trained auditors, executives, managers, IT leaders and many other roles, from organizations across sectors, on AI governance, risk and compliance.
IndustryContributions
BELGIC Framework (AI skills framework), DRILL Method (AI skills delivery), iCRAFT Prompts (AI prompting platform) and GUAF (GenAI use-case privacy and risk assessment).
AI engineering and assurance
Where building meets proof: we build AI systems and test them independently, so you can deploy with evidence.
Representative work
- AI TEVV lead for a generative-AI retrieval effort
- NLP pipeline to reduce analyst workload
- Legacy C/C++ to Python modernization with knowledge-graph LLMs
- Locally hosted LLM and RAG in AWS GovCloud with CAC sign-on
- Temporal knowledge graph with natural-language chat
- Clinical imaging AI built with a practicing neurosurgeon
Founder research
Machine learning model to detect cyberattacks on the US smart gridDr. Beza Lefebo
AI model to detect fake information onlineDr. John Kuk
Liquid neural network model to detect attacks on medical IoTDr. John Kramarczyk
Credentials
- D.Eng., Cyber Analytics and AI (The George Washington University)
- M.Eng., Policy and Compliance
- CISSP, CISM, CDPSE, ACCISO
- 20 years in federal government, big tech and consulting
- Key engineering personnel: TS/SCI with CI polygraph (active)
Environments
Cloud / hybridAir-gappedClassifiedCustomer SCIF/SAPF
Contracting codes
Search by code or description, and copy what you need.
| NAICS | Description | |
|---|---|---|
| 611430 | Professional and Management Development Training | |
| 611420 | Computer Training | |
| 541611 | Administrative Management and General Management Consulting Services | |
| 541690 | Other Scientific and Technical Consulting Services | |
| 541715 | Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) | |
| 541511 | Custom Computer Programming Services | |
| 541512 | Computer Systems Design Services | |
| 541519 | Other Computer Related Services | |
| 518210 | Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services |
PSC
We engage with: Federal, state and local, commercial, SBIR/STTR, non-profit research. Also doing business as DrBeza.ai.
Point of contact
Dr. Beza Lefebo
VP, AI Strategy and Workforce Development
11393 Columbia Pike #D10, Silver Spring, MD 20904