How to strategically deploy AI for long-term growth as an enterprise organization.
AI is everywhere. There seems to be a race to see who can implement as much AI functionality as possible first. Work is being outsourced to AI indiscriminately. And with that, unease is growing: “Will I still be needed?” “What will remain of my role?” “Will my team soon be automated away?” An understandable reaction. Especially at a time when the pressure to reduce costs is keenly felt, particularly in larger organizations. Profits must increase, as must efficiency. But blindly replacing people with AI agents is not the solution.
AI is an opportunity for your organization. Provided you use it wisely. That means targeted deployment where it delivers efficiency and powerful governance to limit “side effects.” Those who invest wisely in automation now will free up their people to do what really makes a difference: human attention, empathy, and an optimal customer experience.
Stop investing in people's knowledge and start structuring knowledge
The biggest bottleneck in organizations? Knowledge that is stuck in people's heads. Processes that only work as long as Kees is there. Decisions that can only be made when Marloes has time. When one of them finds a new job, their work is transferred. That transfer often consists of a single Word file with a few bullet points, an Excel file with incomprehensible codes, or an email with “everything you need to know.” Not ideal. Not scalable. And certainly not future-proof. In any case, we see that in many organizations, knowledge is recorded in various documents and is difficult to retrieve. If that knowledge relates to system integrations and decision-making processes, it is a major vulnerability for your organization.
That has to change. Especially if you feel the pressure to do more with less. Structure starts with systems that understand your processes. That know what needs to be done, when, and why. And are transparent about every step. So you can work without first having to call six people. Without getting lost in Excel files and vaguely worded transfer emails. To train AI properly, you need unambiguous information about how the organization should operate.
Automate what you can, so people can do what matters
Much of the work is predictable, repetitive, and generic. Think of tasks such as collecting documents, checking forms, and applying standard rules. Fixed steps based on fixed rules. That work can easily be automated. Let customers upload documents themselves, with immediate feedback: “this document is too old,” “page missing,” “we still need X.” That prevents unnecessary delays and keeps your team free for the real work.
And yes, some things need to be checked. But only when necessary. If you have strict business rules (“document may not be older than 3 months,” “all fields must be filled in”), then the system should simply check this itself. Without human intervention. Period.
A smart workplace doesn't leave everything to AI, but it does leave a lot to it.
AI is great, but only if you know when to use it and when not to. Often, AI is used too early. If you know that one plus one equals two, you don't ask your LLM. First of all, that's a waste of tokens and the investment in money and energy that goes with it. Secondly, with every step you outsource to AI, you have to manage the risk of hallucination. That requires extra process steps and takes work to build in. A simple business rule can automate such a step for you and requires considerably less work.
Agentic AI is fantastic, but only for the right things. At Rulecube, you start with the basics: you integrate your systems, define workflows, build forms for customers, and set up crystal-clear business rules. Without a trace of AI.
When interpretation is needed, you scale up with AI. In a targeted way. For example, to read a document, recognize what type of document it is, and find the right data. Or to assess the complexity of a file, or recognize deviations that require extra attention. That is the power: control where possible, intelligence where necessary. In addition, you surround AI with the right systems to frame undesirable behavior.
A resilient organization
Once deployed intelligently, the combination of hard business rules and AI delivers many benefits. These benefits go beyond reducing workload and shortening processing times:
- Knowledge is captured in systems, not individuals. This reduces the risk associated with staff turnover.
- The use of AI is transparent and defined. The audit trail remains intact.
- Personnel capacity can be used for a sustainable competitive advantage, rather than for generic tasks.
So don't use AI randomly, but in a targeted way as a logical step and only when you have the basics in place. In other words: first integrate, then structure, and only then scale up with AI. This way, you retain control where necessary and scale your intelligence where possible.