Capability areas
Built for rail organisations that need stronger control, visibility and evidence.
TRAC supports a broad range of operational learning, competence and assurance activity. It can be used to strengthen existing processes or form the foundation of a more structured competence and learning ecosystem.
Competence assurance
Manage competence evidence, development actions, assessment records and review cycles in a consistent, auditable structure.
Risk and compliance oversight
Support assurance activity by linking competence, learning, risk controls, operational behaviours and compliance evidence.
Structured learning delivery
Deliver CPD, briefings, development modules and scenario-based learning through TRAC-Learn.
Manager and assessor workflows
Support driver managers, instructors, assessors and operational leaders with structured evidence, reviews and interventions.
Audit-ready evidence
Build clearer records for internal assurance, external review, standards compliance and management governance.
Human factors and NTS
Develop and evidence situational awareness, communication, workload management, decision making and professional behaviours.
Incident learning
Turn incidents, near misses and operational learning into meaningful development, reflection and evidence-led improvement.
Fatigue and fitness for duty
Support awareness, learning and evidence around fatigue risk, alertness, shift work and professional responsibility.
Route and operational risk
Use structured learning and competence evidence to support route knowledge, degraded working, local risk and operational readiness.
Management information
Create clearer visibility of competence status, training completion, outstanding actions and assurance gaps.
Information security by design
Designed with access control, audit trails, data governance and ISO 27001-aligned thinking at the centre of the platform.
Continuous improvement
Use learning, assessment and competence evidence to identify trends, close gaps and strengthen operational performance over time.