Claude for Business: Advanced AI Workflows and Automation
Overview
Many organisations are now experimenting with AI tools, but most use them in an informal and inconsistent way. As a result, opportunities to improve productivity, decision-making and business performance are often missed.
This practical course helps delegates move beyond basic prompting and understand how Claude can be used as a structured working environment for thinking, creating, analysing and problem-solving. Delegates will explore how to build repeatable AI workflows that improve the quality and consistency of outputs across everyday business tasks.
The course combines live demonstrations, guided activities and discussion, enabling participants to design and test practical workflows they can apply immediately in their own roles. It also considers how AI can be embedded responsibly across teams, supporting both short-term productivity gains and longer-term organisational adoption.
For the best learning experience and access to the full range of functionality, a paid or enterprise account is recommended.
Learning Outcomes:
- Use Claude effectively for content creation, analysis and business thinking
- Structure prompts and interactions to generate more consistent outputs
- Design simple, repeatable AI workflows aligned to business tasks
- Create reusable assistant-style approaches using context and instructions
- Identify opportunities to scale AI use across teams
- Recognise key risks and apply responsible AI principles
Agenda
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Registration and Welcome Address
- Introduction of trainer and participants
- Overview of course objectives and outcomes
- Reframing AI from ad hoc tool use to structured business value
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Quick Wins: High-Impact Use Cases with Claude
- Applying Claude to everyday business tasks
- Using Claude for drafting, summarising, reviewing and analysis
- Practical activity: improving a real workplace task using AI
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Break
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The Workflow Model: Prompts, Projects and Knowledge
- Moving from individual prompts to repeatable workflows
- Structuring context, instructions and source material
- Practical activity: building a simple AI workflow
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Lunch
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From Workflow to Assistant: Making AI Reusable
- Turning one-off tasks into consistent AI-supported processes
- Creating assistant-style instructions for specific roles or functions
- Practical activity: designing a reusable AI assistant
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Claude Co-Work: Scaling AI Across Teams
- Sharing workflows across teams
- Improving consistency, collaboration and quality control
- Identifying where AI can support team-level productivity
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Break
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Governance, Risk and Responsible AI Use
- Understanding risks, limitations and hallucinations
- Managing sensitive information and human oversight
- Establishing good practice for responsible AI use
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Wrap-Up and Next Steps
- Personal action planning
- Identifying immediate implementation opportunities
- Final Q&A
Get in Touch
Book Now
- Public Sector £550 + VAT
- Private Sector £620 + VAT
- Voluntary Sector £480 + VAT
Need to book for 6 or more people?
We are now taking bookings for our wide range of training packages in-house; we also offer bespoke packages tailored for your organisation.
For more information or to discuss the available option please call 0203 926 5674 or email info@gov-pd.co.uk
Trainer
Emma Ellse is an experienced business trainer, mentor and AI adoption specialist with more than 25 years’ experience across marketing, digital, business growth and leadership development.
As founder of AI Business Growth Academy, Emma helps leaders, teams and SMEs use AI in practical, responsible and commercially useful ways. She has supported more than 2,000 people through AI training, workshops, talks and adoption programmes, helping organisations identify where AI and automation can improve productivity, streamline workflows and support better decision-making.
Her practical AI training includes the use of generative AI tools such as ChatGPT, Claude and Gemini, alongside workflow automation, advanced prompting, AI-assisted content creation, custom AI tools and productivity systems. She has also helped organisations assess when a task is best suited to AI, when automation is the more appropriate solution, and how these approaches can be embedded into day-to-day working practices.
Emma has delivered AI adoption programmes including the Business Lincolnshire AI Adoption Accelerator, supporting businesses to identify suitable AI use cases, develop proofs of concept and introduce AI into real operational processes. Her work also covers responsible AI adoption, including security, governance, ethical use and the development of practical organisational policies and boundaries.
Alongside her AI expertise, Emma is an ILM Level 7 qualified business mentor, a Fellow of the Association of Business Mentors, and a former Senior Lecturer and Fellow of Advance HE. Her combination of commercial experience, teaching expertise and practical AI implementation enables her to make complex technology accessible and relevant to non-technical audiences.
