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Home » Insight Collections » [Whitepaper] Agentic AI: I Just Get So Much Done Now
How autonomous AI agents will transform knowledge work in 2025.
Download our free whitepaper to discover how Agentic AI is poised to revolutionise knowledge work in the same way e-commerce transformed retail. This comprehensive guide shows you how to harness AI agents to automate routine tasks, reduce operational costs and free your teams to focus on strategic, high-value work.
What’s inside
- The Retail Revolution Blueprint: Learn practical lessons from how successful retailers navigated e-commerce disruption and apply them to your AI transformation
- Agentic AI Explained: Understand the building blocks of Agentic AI, agents and APIs – and how they work together to automate complex tasks
- Eight Key Opportunity Areas: Explore detailed use cases across administration, data analysis, customer support, legal research and more
- Practical Implementation Plan: Follow our four-step strategy to successfully introduce Agentic AI into your organisation with minimal disruption
Why this matters now
For market intelligence professionals, the parallels between today’s AI revolution and the e-commerce transformation of retail are striking. Just as traditional retailers faced disruption from Amazon and eBay in the 1990s, intelligence teams now face a fundamental shift in how work gets done.
The winners today aren’t those waiting for change, but those already leveraging these tools. Agentic AI isn’t just coming – it’s here, transforming market intelligence right now. Our whitepaper shows how leading teams are already using autonomous AI agents to automate data gathering, streamline information processing and generate reports. This shift isn’t theoretical – it’s happening across industries, creating immediate competitive advantages for early adopters who are capturing insights faster and making more informed decisions while competitors remain stuck in traditional, manual workflows.
This isn’t just about doing things faster – it’s about doing them smarter. By automating the mundane, your teams gain the freedom to think strategically, spot emerging patterns and drive business growth through deeper insights.
THE URGENT BUSINESS CASE
- 20-40% of knowledge worker’s time is spent on administrative tasks that don’t directly contribute to value creation
- 92% of decision-makers recognise information as a vital business asset, yet inefficient processes are costing companies an average of £4.4 million annually just searching for information
- 60-70% reduction in routine administrative tasks is possible through AI-powered automation, creating significant time savings for higher-value work
Real-world impact: Case Study
We’ve seen first-hand how Agentic AI transforms intelligence functions. At Deloitte’s Centre for Research Excellence, implementing AI-powered intelligence tools reduced research time by 82% – turning two days of manual research for C-Suite reports into just a few hours, without compromising quality.
The team now:
- Processes hundreds of thousands of documents automatically
- Generates thousands of unique signals from unstructured content
- Delivers proactive insights across key customers, competitors, and regulations
This isn’t just about efficiency – it’s about enabling intelligence professionals to shift from information gatherers to strategic advisors. As highlighted in our research, the traditional model where analysts spent 80% of their time gathering information and 20% analysing it is being reversed, allowing teams to identify emerging opportunities that would otherwise be missed.
Watch our webinar replay
Join Marco Andre (Marketing & AI Executive), Paul Teather (CEO, AMPLYFI) and Warren Fauvel (Chief Growth Officer, AMPLYFI) as they explore how Agentic AI is revolutionising market intelligence.
In this session, they discuss:
- How AI is shifting intelligence work from 80% data gathering/20% analysis to the reverse
- Real-world examples of organisations using AI agents to automate intelligence workflows
- Practical steps to implement Agentic AI in your existing processes
