About Orchard Tree Consulting Ltd.
What We Do
Stuck between AI ambition and measurable impact?
Worried today’s AI shortcuts will become tomorrow’s HR problems?
Feel like AI is moving faster than your organisation can keep up?
- Orchard Tree Consulting can help you get it right.
AI feels full of potential — but for many organisations, it hasn’t quite landed yet.
Sometimes that’s because the technology has moved faster than the organisation. Sometimes teams are experimenting without a clear sense of what “good” looks like. Sometimes people still need the clarity, language, or confidence to engage with AI. And sometimes the harder questions — about risk, responsibility, and oversight — haven’t been answered yet.
- That’s where Orchard Tree Consulting comes in.
Our Services
Practical AI Enablement
Responsible AI Governance (FACT™ Framework)
Responsible AI Governance (FACT™ Framework)
Practical training and enablement for leaders and teams who are already encountering AI at work and want to use it with confidence and good judgement.
We focus on:
- How AI fits into day-to-day workflows
- Where human judgement is needed
- Responsible use of AI at work
Designed for non-technical audiences, these workshops provide transferable
Practical training and enablement for leaders and teams who are already encountering AI at work and want to use it with confidence and good judgement.
We focus on:
- How AI fits into day-to-day workflows
- Where human judgement is needed
- Responsible use of AI at work
Designed for non-technical audiences, these workshops provide transferable skills and decision-making confidence.
What changes:
Teams move beyond experimentation and start using AI in consistent, sensible ways — with fewer mistakes and less anxiety.
Responsible AI Governance (FACT™ Framework)
Responsible AI Governance (FACT™ Framework)
Responsible AI Governance (FACT™ Framework)
Using the FACT™ framework (Fairness, Accountability, Culture, Transparency), we help organisations put practical responsible AI use guidelines in place.
We focus on:
- Proportionate governance that reflects how AI is actually being used
- Accountability and decision boundaries
- Aligning principles and policies with day-to-day practice
- Prov
Using the FACT™ framework (Fairness, Accountability, Culture, Transparency), we help organisations put practical responsible AI use guidelines in place.
We focus on:
- Proportionate governance that reflects how AI is actually being used
- Accountability and decision boundaries
- Aligning principles and policies with day-to-day practice
- Providing leadership and board-level assurance
What changes:
AI use becomes safer, more intentional, and easier to manage — internally and externally — without creating unnecessary bureaucracy.
Embedded & Fractional AI Advisory Support
Responsible AI Governance (FACT™ Framework)
Embedded & Fractional AI Advisory Support
Advisory support for organisations moving from early AI use to sustained, responsible adoption.
We focus on:
- Advising leaders as new AI questions and risks emerge
- Supporting teams as capability and governance mature
- Acting as a trusted sounding board across strategy, people, and risk
What changes:
Organisations make better AI decisions o
Advisory support for organisations moving from early AI use to sustained, responsible adoption.
We focus on:
- Advising leaders as new AI questions and risks emerge
- Supporting teams as capability and governance mature
- Acting as a trusted sounding board across strategy, people, and risk
What changes:
Organisations make better AI decisions over time — with less rework, fewer surprises, and growing internal confidence.
From Strategy to Scale: Consulting Support for HR Teams
From Insight to Impact: An AI Adoption Partnership Package
Orchard Tree Consulting offers From Insight to Impact: An AI Adoption Partnership Package. This packaged service guides HR teams through four key stages of AI adoption. Each phase is customised to your needs and has defined activities and outcomes, ensuring transparency and steady progress so that you see results at each step along the way.
1. Discovery
We begin by understanding your current state, goals for AI use and pain points which AI is suited to solve. This includes:
- Executive and frontline employee workshops to identify high-impact areas
- Development of a list of initial AI use-case ideas with a focus on quick wins
- Measures of success and feasibility to show the potential return on investment
2. Design
We move to a deep-dive into the top AI use case(s), mapping out requirements, identifying staff up-skilling needs and measures of success. This includes:
- A solution blueprint for the top AI use cases, including process changes, AI model or tool selection, and a data preparation plan
- A pilot plan with a defined scope, timeline, resources and success measures
- A change management plan with training needs for users
3. Pilot
We deploy the AI solution on a small scale (e.g. one department or process) to ensure a working AI Pilot which solves the business problem as intended. This includes:
- Iterating and refining the solution based on real data and feedback
- Measuring results v. expectations (e.g. user uptake and experience, efficiencies gained)
- Train staff and integrate into existing workflow with minimal disruption
4. Scale
We integrate the AI solution across the broader team or organization or add additional use cases. This includes:
- Rolling out training for the wider user base and adjusting processes as needed
- Establishing guidelines and governance for transparent and ethical use
- Outlining a continuous improvement framework (regular check-ins, updates)