Some organizations will have AI doing the heavy lifting while humans drive strategy. Others will still be copy-pasting into chatbots.
Which future are you building?
BASED ON DANIEL MIESSLER'S AI MATURITY MODEL (AIMM)
→ 2022
2023 → 2025
2025 → 2027
2027+
2030+
0 NATURAL
The human does their work completely on their own, with no AI assistance
1 CHATBOTS
The human asks questions and gets useful answers back from an AI chatbot-like system
2 AGENTIC
Agentic platforms magnify people's effectiveness by learning tasks, context, and tooling
3 WORKFLOWS
Most work is decomposed into automatable tasks and pipelines executed by AI
4 MANAGED
AI captures current and desired state, and continuously makes adjustments
⚠Your competitors are racing along this same maturity model.
The larger the gap between you and them, the more concerned you should be.
This is how the world worked before ChatGPT. All knowledge work done by humans, using traditional tools and processes. If your organisation is still here, you're not just behind—you're invisible to what's coming.
The first AI-enabled level. You can ask difficult questions and get useful answers—but then you still have to do something with the result. The AI provides information; humans take all the actions. Most organisations are here today.
The last level that remains heavily human-focused. You ask questions like before, but now you have context about how to properly answer—and crucially, the AI can take actions.
Agents understand work using context and can go and do things with it. They're extraordinarily powerful for magnifying an individual's capability. This is where Risk Agents provides the skills, patterns, and context management that make agentic systems work for risk professionals.
All the tasks and skills from the agentic phase get turned into permanent workflows throughout the organisation. Business processes become AI pipelines that are always running. Work gets broken down into pieces, with AI identifying where humans are doing intelligent work and where AI can be substituted.
The most advanced level. AI can see the company working by watching workflows. Level 4 asks: What is our current state? What is our desired state? How do we transition from one to the other? Agents continuously gather current state, understand desired state, and make small changes to transition between them.
The recommendation is clear: move as fast as possible to Level 2. Build agentic capabilities that magnify your people. Get your context into the system—your knowledge, your goals, what you're actually trying to accomplish.
The more context AI understands about your organisation, your risk appetite, and your strategic objectives, the more powerful it becomes. Context compounds. Knowledge accumulates.
"Things are absolutely insane right now. We're living in the greatest moment of human change in probably thousands of years because of how this is going to affect human labour."
— Daniel Miessler
Risk Agents provides the skills, patterns, and context management infrastructure to accelerate your move to agentic AI in risk management.