Webinar replay

originally broadcast: Thursday 14 August 2025. 

A 30-minute deep-dive into enterprise competitive intelligence, from setting clear objectives to delivering insight that drives strategic decisions.

In this session, AMPLYFI’s competitive intelligence specialists share frameworks, practical methods, and examples from work with some of the world’s largest organisations. The conversation covers aligning intelligence capabilities with business priorities, scaling collection across global markets, integrating input from across the organisation, and using technology to improve reach and reliability.

It also examines emerging practices such as content science, AI-assisted analysis of unstructured data, and how “content plus context” will shape the future of competitive intelligence. Real-world examples highlight how disciplined processes, cross-functional collaboration, and targeted outputs can turn intelligence into a measurable advantage.

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Key discussion topics

• Defining objectives with precision
  Discover why competitive intelligence initiatives have greater impact when objectives are clearly defined and measurable. See examples of how vague goals can limit results, and learn how frameworks such as SMART keep targets relevant, achievable, and aligned to business priorities.

• Resource allocation in large, complex organisations
  Explore ways to operate effectively when team size is small but organisational demand is high. Learn how to leverage expertise from customer-facing teams, capture relevant insight without adding meeting fatigue, and apply technology to extend coverage and capacity.

• Efficient collection of qualitative insights
  Find out how to capture market and competitor intelligence from across the business with minimal friction. See how AMPLYFI’s own processes use dedicated channels and CRM integration so insights are immediately visible to strategy, product, and leadership teams.

• Technology’s role in competitive intelligence
  Learn how AI, and in particular retrieval-augmented generation (RAG), can surface relevant intelligence from multiple internal and external sources, improve trustworthiness, and make insights accessible across the organisation.

• Content science as a discipline
  Understand what content science is, why it is emerging now, and how it applies to unstructured content such as reports, patents, and research papers. Discover how automated pipelines can scale competitive analysis and bring structure to large, complex datasets.

• Analysis frameworks and discipline
  See why revisiting objectives during analysis keeps projects on track. Understand when to apply familiar models like SWOT or PESTLE, and when to create bespoke frameworks for specific challenges.

• Tailoring deliverables for different audiences
  Learn how to adapt intelligence outputs to their audience, from detailed reports for analysts to concise, decision-ready briefings for executives, while maintaining a consistent thread from source to recommendation.

• Building the case for investment in CI
  Discover how to make a compelling business case for competitive intelligence, whether by demonstrating cost efficiency, improving risk mitigation, or identifying opportunities ahead of competitors.

• Future directions for enterprise CI
  Explore how “content plus context” will underpin the next generation of CI capabilities, and the potential for agentic AI frameworks to act as context-aware intelligence assistants for decision-makers.

Essential viewing for

• Senior executives overseeing intelligence and strategy functions
• Market Intelligence & Competitive Intelligence professionals
• Strategy team members responsible for competitive analysis
• Sales enablement teams needing systematic competitor insights
• Product teams tracking competitive developments
• Marketing professionals requiring competitive positioning intelligence