Our Commitments
Practical AI with human judgement, accountability, and clear business purpose.
Raeburn Consulting helps organisations adopt AI in a practical, responsible, and human-led way. We do not believe in automation for automation's sake. AI should be used where it improves quality, reduces friction, increases visibility, or saves time without compromising fairness, privacy, accountability, or human judgement.
Last reviewed: June 2026
Why This Matters
AI can improve operations, but it also changes how decisions are made, how data is handled, and how people experience work. Responsible implementation keeps purpose, oversight, and accountability visible.
What We Commit To
- Human oversight for important decisions
- Clear business purpose before automation
- Privacy-conscious data handling
- Bias awareness in recruitment workflows
- Transparent use of AI where appropriate
- No unnecessary automation
- Measurable outcomes
- Practical implementation over hype
Practical Actions
- Map the business problem before recommending tools
- Keep people involved in important recruitment decisions
- Review candidate-facing automation for fairness and clarity
- Document workflows, prompts, and handover processes
- Measure whether implementation improves quality, visibility, or time saved
Evidence, Certification & Progress
- Responsible AI commitment published
- Client AI principles in development
- Recruitment-specific AI guidance included below
Current Status
- Status
- Policy in development
- Evidence
- Responsible AI principles published on this page
- Certificate or badge
- Responsible AI commitment
- Last reviewed
- June 2026
- Next step
- Publish client AI principles
- Next review
- June 2027
Recruitment-Specific Responsible AI
- AI should support recruitment decisions, not blindly replace human judgement.
- Candidate screening should be fair, explainable, and reviewed.
- Automation should improve communication, not dehumanise candidates.
- Recruitment data should be handled carefully and lawfully.