To the Horizon
A new operating model for humans and AI
Don't think of AI as software
Traditional enterprise software works by automating predefined tasks.
The implementation approach is straightforward: document workflows, processes, and standards, then configure the software to execute them.
AI needs less configuration and more orientation.
What is important to the business? What outcomes are you trying to achieve? What are the boundaries and controls? Who participates in decisions?
The challenge is no longer simply deploying software. It is creating the context that allows people and AI to work effectively together.
Operating implication: Treat AI as an active participant in workstreams.
Help AI help you
Why do organizations struggle to adopt AI? For many, it's a context problem.
AI has access to a vast set of capabilities, but needs context to understand what you're looking for. Without context, its responses can be generic or off target.
Context comes in many forms: goals, constraints, prior decisions, documents, conversations, and work products.
You don't need perfect data, but you do need a way to provide AI with visibility into the broader working environment.
Context is an increasingly important asset in hybrid human+AI organizations. The more visibility AI has, the more effectively it can contribute.
Operating implication: The more context you provide, the more effective your results can be.
Don't let AI get away
AI can give too much of the wrong kind of help.
Adoption often stalls when users receive responses that are overly detailed or difficult to understand. The AI may be technically accurate, but the work it produces is not what is needed.
The issue isn't AI capability. It's role clarity.
In organizations, teams are effective when team members understand their roles. AI works much the same way.
When you give AI a specific role, it begins to respond in a way people are more comfortable with.
And the more you clarify the role you want AI to play, the more useful its contributions become.
Operating implication: Give AI a clear role, with instructions, guidelines, and boundaries, just like you would any other team member.
Start with the outcome
One of the most important principles in business applies even more strongly today:
Start with the outcome.
With humans, it's natural. Knowing the outcome helps us plan a better path, make decisions, and avoid obstacles.
Traditional software requires users to follow pre-defined processes - the same steps for every user - regardless of their intention.
AI takes us back to where we started. When it knows the outcome, it can form plans, evaluate alternatives, and present options in ways that traditional software cannot.
We just need to tell it where we are headed.
The clearer the outcome, the more effectively AI can help chart a path forward.
Operating implication: Start with the outcome.
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