AI CAPABILITY LEARNING PATH
From AI Access to Practical Productivity
Helping organisations move from Assessment → Confident adoption → Microsoft 365 productivity → Process automation → Measurable impact
1
Assessment Phase
Consultative
Review current usage, business processes, risks, opportunities and priority use cases.
→
2
AI Awareness & Confidence
Half Day
Build confidence, reduce uncertainty and understand safe AI use.
→
3
Microsoft 365 AI Modules
1/2 Day Modules
Focused practical sessions across Word, Excel, Outlook, PowerPoint and Teams.
→
4
Role-Based Application
1–2 Days
AI applied to PMO, engineering, leadership, operations and business teams.
→
5
Business Process Automation
Advice + Implementation
Identify where AI can automate, streamline and improve real business processes.
The core idea: Most organisations do not need more AI theory. They need a structured way to help people use AI confidently, consistently and productively in real work.
AI Capability Learning Path
Moving from access to practical productivity.
Many organisations have already introduced AI tools such as Microsoft Copilot, ChatGPT or other AI platforms.
The challenge is no longer simply giving people access.
The real challenge is helping teams use AI confidently, consistently, responsibly and productively in their day-to-day work.
The Ratio AI Capability Learning Path is designed to help organisations move beyond experimentation and into practical adoption across Microsoft 365 applications, business workflows and role-specific tasks.
This is not generic AI theory.
It is practical capability development focused on real work, real productivity gains, stronger outputs and responsible human oversight.
“The value of AI appears when people know how to apply it properly inside the tools and workflows they already use every day.”
Assessment Phase
Understanding where AI can create the most value before training begins.
Before recommending a training route, we can support organisations with an AI assessment phase.
This helps identify where AI can create the greatest practical value across teams, Microsoft 365 usage and business processes.
The assessment may include:
• Review of current AI and Microsoft Copilot usage
• Identification of high-value business processes
• Analysis of repetitive administrative tasks
• Workflow mapping across teams and departments
• Assessment of risks, governance and human review points
• Recommendations for priority use cases
• Advice on where AI can support automation, productivity and better decision-making The aim is to avoid generic AI adoption and instead focus on where AI can genuinely improve work, reduce effort and support measurable productivity gains.
• Review of current AI and Microsoft Copilot usage
• Identification of high-value business processes
• Analysis of repetitive administrative tasks
• Workflow mapping across teams and departments
• Assessment of risks, governance and human review points
• Recommendations for priority use cases
• Advice on where AI can support automation, productivity and better decision-making The aim is to avoid generic AI adoption and instead focus on where AI can genuinely improve work, reduce effort and support measurable productivity gains.
Practical AI Across Microsoft 365
Focused 1/2 day modules across the applications your teams already use.
The Microsoft 365 element of the pathway is delivered through focused 1/2 day practical modules.
Each module is designed around real workplace productivity, helping teams apply AI within the applications they already use every day.
Modules can be delivered individually or combined into a wider programme.
Microsoft Word
• Document drafting, summarisation, structure, tone, audience and review.
Microsoft Excel
• Data analysis, trend identification, reporting, insight generation and validation.
Microsoft Outlook
• Email drafting, thread summarisation, follow-ups, tone refinement and communication quality.
Microsoft PowerPoint
• Presentation creation, executive updates, storytelling, structure and audience-focused messaging.
Microsoft Teams
• Meeting summaries, action capture, decision tracking, collaboration and follow-up. The focus is not simply learning features. The focus is helping people use AI to save time, improve quality, reduce low-value work and remain in control of the final output.
• Document drafting, summarisation, structure, tone, audience and review.
Microsoft Excel
• Data analysis, trend identification, reporting, insight generation and validation.
Microsoft Outlook
• Email drafting, thread summarisation, follow-ups, tone refinement and communication quality.
Microsoft PowerPoint
• Presentation creation, executive updates, storytelling, structure and audience-focused messaging.
Microsoft Teams
• Meeting summaries, action capture, decision tracking, collaboration and follow-up. The focus is not simply learning features. The focus is helping people use AI to save time, improve quality, reduce low-value work and remain in control of the final output.
Step 1 – AI Awareness & Safe Adoption
Half-Day Session | Building confidence and control.
This is the entry point for organisations that want to introduce AI in a clear, accessible and responsible way.
The session helps people understand what AI is, where it can support their work, and how to stay in control when using AI-generated outputs.
Topics typically include:
• What AI is and what it is not
• Where AI is already being used in everyday work
• Common concerns and misconceptions
• Safe and responsible use
• Human review and accountability
• Examples across Microsoft 365 and business workflows Participants leave with greater confidence, clearer understanding and a practical sense of where AI can help.
• What AI is and what it is not
• Where AI is already being used in everyday work
• Common concerns and misconceptions
• Safe and responsible use
• Human review and accountability
• Examples across Microsoft 365 and business workflows Participants leave with greater confidence, clearer understanding and a practical sense of where AI can help.
Step 2 – Practical AI Productivity
1-Day Hands-On Workshop | Applying AI across Microsoft 365.
This stage takes participants from awareness into practical use.
The workshop is highly hands-on and focuses on using AI to improve productivity across everyday work tasks.
Participants learn how to use AI to support:
• Document drafting and summarisation
• Email communication
• Meeting preparation and follow-up
• Reporting and analysis
• Presentation development
• Research and decision support A key part of this stage is learning how to create better prompts, provide clearer context, validate outputs, and avoid over-reliance on AI responses. Participants leave with repeatable techniques they can apply immediately in their day-to-day work.
• Document drafting and summarisation
• Email communication
• Meeting preparation and follow-up
• Reporting and analysis
• Presentation development
• Research and decision support A key part of this stage is learning how to create better prompts, provide clearer context, validate outputs, and avoid over-reliance on AI responses. Participants leave with repeatable techniques they can apply immediately in their day-to-day work.
Step 3 – Role-Based AI Application
Applying AI inside real teams and job roles.
Generic AI training can be useful, but the greatest value appears when AI is applied to real roles and real responsibilities.
This stage helps teams apply AI to the specific work they actually do.
Examples include:
AI for Project Managers & PMO
• Planning, reporting, RAID reviews, stakeholder communication, governance and delivery control.
AI for Software Engineering Teams
• Coding, testing, debugging, documentation, standards, review and AI-assisted engineering workflows.
AI for Leadership Teams
• Decision support, strategic thinking, communication, planning, governance and risk.
AI for Business Functions
• Finance, HR, operations, customer communication, reporting and workflow productivity. This helps organisations move from individual experimentation to structured, role-specific capability.
• Planning, reporting, RAID reviews, stakeholder communication, governance and delivery control.
AI for Software Engineering Teams
• Coding, testing, debugging, documentation, standards, review and AI-assisted engineering workflows.
AI for Leadership Teams
• Decision support, strategic thinking, communication, planning, governance and risk.
AI for Business Functions
• Finance, HR, operations, customer communication, reporting and workflow productivity. This helps organisations move from individual experimentation to structured, role-specific capability.
Step 4 – Advanced AI Workflows & Automation
2-Day Programme + Post-Course Project | Moving from usage to measurable impact.
Once individuals and teams are using AI more confidently, the next stage is to embed it into structured workflows.
This stage focuses on:
• Designing repeatable AI-supported workflows
• Improving handovers, reporting and collaboration
• Automating low-value repeatable tasks
• Integrating AI into Microsoft 365 workflows
• Maintaining quality, consistency and governance
• Identifying where human review must remain central Participants can also complete a post-course project, applying AI to a real workflow, reporting process or team challenge. This helps turn learning into practical productivity improvement and measurable impact.
• Designing repeatable AI-supported workflows
• Improving handovers, reporting and collaboration
• Automating low-value repeatable tasks
• Integrating AI into Microsoft 365 workflows
• Maintaining quality, consistency and governance
• Identifying where human review must remain central Participants can also complete a post-course project, applying AI to a real workflow, reporting process or team challenge. This helps turn learning into practical productivity improvement and measurable impact.
Business Process Assessment and AI Automation Advice
Identifying where AI can improve, streamline or automate real work.
For organisations looking to move beyond individual productivity, we can also support business process assessment and AI automation planning.
This focuses on identifying processes where AI can help reduce manual effort, improve consistency and support better outcomes.
Typical areas include:
• Reporting workflows
• Meeting and action management
• Document production and review
• Customer or internal communication processes
• Project and PMO reporting
• Finance, HR and operations workflows
• Knowledge management and information retrieval
• Repeatable administrative tasks We help organisations understand which processes are suitable for AI support, where automation may be appropriate, and where human judgement, approval and governance must remain central. The result is a more practical route to AI adoption, focused on real productivity improvement rather than isolated tool usage.
• Reporting workflows
• Meeting and action management
• Document production and review
• Customer or internal communication processes
• Project and PMO reporting
• Finance, HR and operations workflows
• Knowledge management and information retrieval
• Repeatable administrative tasks We help organisations understand which processes are suitable for AI support, where automation may be appropriate, and where human judgement, approval and governance must remain central. The result is a more practical route to AI adoption, focused on real productivity improvement rather than isolated tool usage.
Why This Approach Works
A practical route to AI adoption that builds confidence, capability and control.
Many organisations either allow AI adoption to happen informally, or delay adoption because they are unsure where to begin.
Both approaches create risk.
Informal adoption can lead to inconsistent use, poor output quality and weak governance.
Delayed adoption can leave teams underprepared while AI usage grows anyway.
The Ratio AI Capability Learning Path provides a balanced route.
It starts with assessment and awareness, moves into practical Microsoft 365 productivity, supports role-based application, and then helps organisations scale AI into workflows and business processes where appropriate.
This makes it easier for teams to use AI safely, practically and in ways that genuinely improve performance.
Designed For
Relevant across technical, delivery, leadership and business functions.
The pathway can be applied across a wide range of teams and sectors.
It is particularly relevant for:
• Project Managers and PMOs
• Software Engineering Teams
• Technical Leaders and Architects
• Senior Leadership Teams
• Operations Teams
• Finance Teams
• HR and People Teams
• Customer and Business Support Functions The pathway can be tailored for organisations that want a single AI capability approach with role-specific routes underneath it.
• Project Managers and PMOs
• Software Engineering Teams
• Technical Leaders and Architects
• Senior Leadership Teams
• Operations Teams
• Finance Teams
• HR and People Teams
• Customer and Business Support Functions The pathway can be tailored for organisations that want a single AI capability approach with role-specific routes underneath it.
The Outcome
Helping people turn AI from a tool they have access to into a capability they can use well.
The organisations seeing the strongest results from AI are not simply the ones with the most licences.
They are the ones helping people use AI properly.
The intended outcomes of the pathway include:
• Improved productivity across Microsoft 365
• Reduced low-value administrative effort
• Better communication and reporting quality
• Stronger prompting and review skills
• Improved confidence using AI tools
• More consistent adoption across teams
• Clearer governance and responsible use
• Stronger human judgement around AI outputs
• Better identification of business processes suitable for AI support or automation The goal is simple: help teams move from occasional AI use to confident, consistent and productive application in real work.
• Improved productivity across Microsoft 365
• Reduced low-value administrative effort
• Better communication and reporting quality
• Stronger prompting and review skills
• Improved confidence using AI tools
• More consistent adoption across teams
• Clearer governance and responsible use
• Stronger human judgement around AI outputs
• Better identification of business processes suitable for AI support or automation The goal is simple: help teams move from occasional AI use to confident, consistent and productive application in real work.
Talk to Us About Your AI Capability Journey
Whether you are at the assessment stage or already looking at Microsoft 365 productivity, workflow integration and business process automation, we can help you take a practical, structured approach.
AI CAPABILITY LEARNING PATH
From AI Access to Practical Productivity
Helping organisations move from Assessment → Confident adoption → Microsoft 365 productivity → Process automation → Measurable impact
1
Assessment Phase
Consultative
Review current usage, business processes, risks, opportunities and priority use cases.
→
2
AI Awareness & Confidence
Half Day
Build confidence, reduce uncertainty and understand safe AI use.
→
3
Microsoft 365 AI Modules
1/2 Day Modules
Focused practical sessions across Word, Excel, Outlook, PowerPoint and Teams.
→
4
Role-Based Application
1–2 Days
AI applied to PMO, engineering, leadership, operations and business teams.
→
5
Business Process Automation
Advice + Implementation
Identify where AI can automate, streamline and improve real business processes.
The core idea: Most organisations do not need more AI theory. They need a structured way to help people use AI confidently, consistently and productively in real work.
AI Capability Learning Path
Moving from access to practical productivity.
“The value of AI appears when people know how to apply it properly inside the tools and workflows they already use every day.”
Assessment Phase
Understanding where AI can create the most value before training begins.
Practical AI Across Microsoft 365
Focused 1/2 day modules across the applications your teams already use.
Step 1 – AI Awareness & Safe Adoption
Half-Day Session | Building confidence and control.
This is the entry point for organisations that want to introduce AI in a clear, accessible and responsible way.
The session helps people understand what AI is, where it can support their work, and how to stay in control when using AI-generated outputs.
Topics typically include:
• What AI is and what it is not
• Where AI is already being used in everyday work
• Common concerns and misconceptions
• Safe and responsible use
• Human review and accountability
• Examples across Microsoft 365 and business workflows
Participants leave with greater confidence, clearer understanding and a practical sense of where AI can help.
Step 2 – Practical AI Productivity
1-Day Hands-On Workshop | Applying AI across Microsoft 365.
Step 3 – Role-Based AI Application
Applying AI inside real teams and job roles.
Step 4 – Advanced AI Workflows & Automation
2-Day Programme + Post-Course Project | Moving from usage to measurable impact.
Business Process Assessment and AI Automation Advice
Identifying where AI can improve, streamline or automate real work.
Why This Approach Works
A practical route to AI adoption that builds confidence, capability and control.
Designed For
Relevant across technical, delivery, leadership and business functions.
The Outcome
Helping people turn AI from a tool they have access to into a capability they can use well.
Talk to Us About Your AI Capability Journey
Whether you are at the assessment stage or already looking at Microsoft 365 productivity, workflow integration and business process automation, we can help you take a practical, structured approach.