5 Shocking Reasons Your Company's AI Is Destined to Collect Dust

The models aren’t the problem, but the way companies deploy AI is.

Read time: 2.5 minutes

Ever wondered why that flashy AI demo wowed everyone, but now nobody uses it at work? Spoiler: It’s not about the tech.

Organizations introduce new AI technologies with great enthusiasm and celebration (kick-off meetings, project road maps, and, sometimes, even dedicated Slack channels for discussion). Leadership will often talk about the transformative effects of using artificial intelligence in their company while their teams listen respectfully, but then quickly return to their regular jobs without adopting AI into their daily processes.

After weeks of being "available" for employees to use, most have moved on from using AI or have very little idea how to incorporate it into their work. In many cases, AI didn't fail... it just disappeared, leaving no memorable connections for employees and being another AI tool that sits in the background of employees' minds.

5 Brutal Truths About Why Enterprise AI Never Gets Used:

  1. AI needs to be integrated into the workflow or else it’s dead.
    Having a standalone “go use the AI tool” strategy won’t work.
    The solution: Implement a ban on all standalone AIs. Only allow them to be used for pre-authorised, submitted and/or escalated tasks according to the established workflow.

  2. If an AI requires your attention, it’s in competition with the rest of your work.
    You don’t actually interact with AIs - you endure them.
    The solution: Trigger AIs only at the point of making irreversible decisions. No other instances.

  3. Insights don’t help make decisions, but decisions help you gain insights.
    Dashboards, reports and summaries are actually just theatre for the Executive Office.
    The solution: Make your AI spit out just one thing you should do and one thing that could go wrong...nothing else.

  4. When re-organisation occurs, there’s no clear owner for AIs’ “moment of use”
    There is no true owner for an AI without a true owner for its workflow.
    The solution: Internally assign a single person responsible for each AI decision point and review each process every January.

  5. If you need training, the AI has failed.
    A training deck promotes nothing more than adding to current behaviour; it does not change behaviour.
    The solution: Hide the AI as much as possible with built-in defaults, pre-filled items and auto-checking features. No training needed.

💡Key Takeaway: 

The failure of Enterprise AI will not be due to weak technology, but rather to the additional work required of individuals using the system. Success will be achieved when the solutions developed through Enterprise AI do not seem like a 'tool' in the traditional sense, but rather create a sense of continuity for the user.

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