Why your AI investment needs Change Management from day one
If your organisation is investing in AI transformation, the technology is only half the story. The real test is whether people can trust it, use it confidently and change the way work gets done around it.
That’s why change management needs to start on day one. Not once the platform is live. Not when adoption is already patchy. Not when leaders are asking why return on investment isn’t showing up. From the moment AI moves from a nice new idea to a polished business case for AI transformation, the people element has to be designed in. Without this, technology moves ahead of the people, and you’ll already be playing catch up.
We’ve supported many businesses from a variety of sectors to implement new digital systems (check out our recent delivery of SAP S/HANA for PA Media). But AI is different,it changes judgement, roles, workflows and confidence, all things that link directly back to your people. It can remove manual effort and free colleagues to focus on higher-value work but only if there is a clear understanding of what will change and why. Without that, people can quickly split into three rough groups: those who are excited, those who are skeptical and those sitting firmly on the fence. All three need support in slightly different ways.
The common mistake is to treat AI transformation as a technology project with a communications plan attached. That usually means the system gets built, a launch message goes out, a few training sessions are booked and everyone hopes adoption follows. It rarely works like that, AI tools are different to what we have experienced before – they are growing/changing at a rapid pace which will feel like a fundamental cultural shift for many organisations. People need to understand how AI fits into their role, what it will and will not do, how quality will be controlled, what policies apply and where human judgement still matters because it absolutely does!
For CIOs, CTOs and IT leaders, this is not a soft issue. AI transformation investment without investment in change management creates adoption risk and you could fall victim to engaging huge amounts of time and effort without seeing much return on both financial and people investment. You want to avoid approaches that can lead to low confidence, inconsistent use, duplicated processes and frustration across the business. That is where value quietly leaks away. So, how can you get a good picture of whether you’re truly digitally ready for AI implementation?
Before implementation gathers pace, leaders should be asking a few practical questions:
- Which processes and workflows are genuinely ready for AI?
- Where will roles, responsibilities or decision-making change?
- How confident are teams in using AI safely and effectively?
- What does successful adoption look like beyond usage figures?
- How will we measure whether AI is improving outcomes, not just creating activity?
The answers you gather from this should shape the programme from the start. This is a very top-level assessment of your digital readiness but a more in-depth view can highlight process gaps, operating model issues, workforce concerns, and change capacity before they become expensive problems. It also gives leaders a clearer view of where support is needed most, informing decision making and priorities for the implementation from the outset.
At Nine Feet Tall, we describe this as ‘people-first AI’. Sometimes people will misunderstand this as something slowing innovation down but it’s quite the opposite. We’re talking about some frontloaded effort, making sure the organisation is ready to turn innovation into something tangible so that we can create lasting and impactful change. Technology partners can build and configure the system, but change specialists help the organisation become ready to use it well, ultimately avoiding losing the personal touch and ensuring overreliance on AI doesn’t occur.
The organisations that get the most from AI will not be the ones that just move fastest. They will be the ones that create trust, build capability, manage adoption and keep value in focus after go-live.
If AI is part of your transformation agenda then we recommend you:
- Start with readiness.
- Understand the impact.
- Bring people with you early.
- Measure adoption properly.
- Keep change management close to the heart of the programme from day one.
People think that AI will just deliver value because it exists, we think of it as delivering true value when people are ready, confident and equipped to use it well.
If you’re at the beginning of your AI transformation journey and want to make sure you’re do it right, then you need to complete our free Digital Readiness Assessment and understand where you’re at in your change journey. If you want even deeper insight, you can always talk to one of our experts. Get in touch today.
