Keyword Inflation
Resumes can list "AI", "LLM" or "Machine Learning" without any evidence of hands-on capability behind them.
The ProblemResumes don't prove
Resumes don't prove
practical AI capability.
Traditional resumes can contain AI keywords without demonstrating that a candidate can actually apply them.
Example resume — skills section
SKILLS
AI / MLMachine LearningChatGPT PromptingGenerative AIData Science
Keywords alone don't confirm hands-on capability, production experience, or the ability to ship real AI systems.
No Proof of Work
A line item on a resume doesn’t show whether a candidate can actually build, evaluate or ship an AI system.
Inconsistent Signals
Certificates and course completions vary widely in rigor, making it hard to compare candidates fairly.
Skills-First HiringHire for what candidates
Hire for what candidates
can do, not just say.
ITtoAI is built around demonstrated capability — so your team can hire with confidence, not guesswork.
Beyond Certificates
Evaluate what a candidate can actually do, not just which courses or certifications they have completed.
Practical Demonstration
Candidates show their work through real, applied AI projects — not just a description of past experience.
Structured Assessment
Role-specific technical evaluation replaces generic screening questions with a consistent, defensible process.
Comparable Signal
Consistent scoring across candidates makes it easier to compare talent fairly across a hiring pipeline.
Candidate Project EvidenceJudge candidates by
Judge candidates by
what they've actually built.
Each candidate profile links to real, applied AI projects — reviewed for practical capability, not just completion.
Working code repository
Technical write-up
Reviewer evaluation notes
Example candidate projects — demo data
Enterprise RAG Assistant
AdvancedA production-grade Retrieval-Augmented Generation system for enterprise document search and Q&A.
RAGLLMsVector DBPython
AI Research Agent
AdvancedAn autonomous AI agent that uses tools to research, synthesise and report on technical topics.
AgentsLLMsToolsEvaluation
Production AI API
IntermediateA scalable, monitored AI inference API with proper error handling, rate limiting and observability.
FastAPIDockerCloud
Talent MatchingMatched on evidence,
Matched on evidence,
not keywords.
ITtoAI matches verified candidates against your role requirements using their actual skill scores, assessments and completed projects.
A match score highlights where a candidate's verified capability aligns with the role — and where a gap remains, so your team knows exactly what to probe in interviews.
Demo data — illustrative only
MATCH SCORE
Example Candidate → AI Application Engineer
MATCHED REQUIREMENTS
PythonMatched
RAGMatched
LLM EngineeringMatched
AI AgentsGap
Match scores are generated from verified skills, assessments and completed projects — not resume keyword matching.
HIRING PIPELINE
Define
Specify AI skills and role requirements
Assess
Evaluate candidates against real criteria
Verify
Review projects and evidence of capability
Match
Connect with verified AI-ready professionals
Interview
Interview pre-verified, qualified candidates
Hire
Hire with confidence in practical capability
For CompaniesHire AI-ready talent.
Hire AI-ready talent.
Not just AI-certified candidates.
AI keywords on a resume don't necessarily demonstrate practical capability. ITtoAI is designed around skills, assessments, projects and evidence — so you can hire with confidence.
EnterpriseYour workforce doesn't need to be replaced.
Your workforce doesn't need to be replaced.
It needs to be upgraded.
Help your existing technology workforce adapt to AI through skill assessment, role mapping, practical transformation and capability measurement.
Transform Our WorkforceDemo data — illustrative only
WORKFORCE AI READINESS
Technology division overview
Q3 2026
Engineering78%
Data64%
QA71%
DevOps82%
CRITICAL SKILL GAPS
RAGAI AgentsAI Evaluation