NEW RELEASE
In an agentic world, who is the end-user?
From redefining who your customer really is to rethinking process, accountability, and outcomes, this whitepaper unpacks what you need to know, including:
The key differences between Generative AI and Agentic AI
The emerging ecosystem of personal AI companions, the non-human internet, and corporate Agentic agents
Strategic considerations for individuals and business leaders to avoid being optimised out of relevance
LATEST thought leadership
In collaboration with Orgvue, enclosed is a practical, five-pillar framework designed to prepare organisations to successfully operationalise AI, answering questions like:
Why should AI be part of your strategy?
How can you turn great ideas into scalable solutions?
What’s the best way to structure your organisation for AI success?
What steps are needed to transition to a future where humans and machines work seamlessly together?
Quantum computing is making inroads, with widespread vulnerabilities expected by 2035. Governments are now urging critical infrastructure providers and CISOs to begin adopting post-quantum cryptography to safeguard their critical systems, such as payments and trading to network security and data protection.
Recent regulations
How to identify early signs of of ‘harvest now, decrypt later’
Risk window timeline till 2040
Key encryption terms for non-technical readers
The data explosion, influenced by Gen Alpha’s tech-savvy presence and rise of Artificial Intelligence, suggests that the traditional consulting triad of People, Process, and Technology may no longer suffice. Instead, we introduce a new framework that includes;
Actors (both human and non-human participants)
Data (the foundational element of business cognition)
Governance (balanced guardrails) to meet contemporary challenges
AUDIO SUMMARY
and OUR PODCAST, generated with ai.
REQUEST FOR INVITATION
The AI Think Tank is an expert-led, invite-only forum by Alumni Services designed to engage business leaders:
Understand what really matters in today’s evolving landscape
Explore practical frameworks for scalable adoption
Learn from real-world use cases and peer insights
Facilitate honest conversations about risk, ethics and accountability
Request your invitation to join the next event.
AI IS everywhere - BUT CLARITY IS RARE.
“Instead of asking how quickly you can bring in AI, you have to first look at building your core capabilities in terms of data and people. Without this investment, AI use cases will simply burn benefits in cost.”
50%
believe AI will make the most impact by aggregating data and optimising operations.
58%
say roles will require redefining or training to integrate AI capabilities effectively.
“We need to think explicitly about knowledge transfer, and give people the opportunity to jumpstart this with AI and Machines, who will then, help us do it even faster.”
68%
are most concerned about implementing AI for independent decision-making, predictions, and forecasting.
“Even before the regulations come, you have to ask yourself, what is our worst ethical nightmare? And as a large organisation, who needs to serve on the AI ethics committee that bears this responsibility?”
