Specialist service
Compliance
Strategic LMS and MIS implementation to meet regulatory requirements and drive measurable business effectiveness.
Clear scope. Independent judgement. Editable outputs your team can continue to use.
The work
What’s included
- 01LMS selection, configuration and staff training
- 02MIS data quality audits and improvement planning
- 03Regulatory compliance mapping (ESFA, Ofsted, awarding bodies)
- 04AI use policy development and governance frameworks
- 05Data reporting for management information and funder returns
Connected pathway
A deliberate progression, not a generic framework.
- Signal 01
Systems audit
Mapping current LMS and MIS configuration against operational needs
- Signal 02
Compliance mapping
Cross-referencing system outputs with regulatory requirements
- Signal 03
Configuration support
Working with your team to fix gaps and improve data quality
- Signal 04
AI governance
Developing a proportionate, practical AI use policy for your organisation
- Signal 05
Staff training
Ensuring teams can use systems confidently and compliantly
The outcome
Why it matters
Data quality is compliance. When MIS records drift, funding, audit outcomes and inspection judgements drift with them — usually before anyone notices. Mapping what your systems actually produce against what regulators require turns a recurring headache into a controlled process.
System selection is rarely the hard part; adoption is. An LMS that staff avoid protects no one and proves nothing at inspection, so configuration work is paired with practical training until records are clean because they are easy to keep clean.
Providers are now adopting AI faster than their policies can follow. A proportionate AI use policy protects learners and staff, supports people rather than policing them, and gives inspectors a governance story that stands up.