ALX tells Lagos business leaders AI adoption must start with staff, not software
- ALX Enterprise hosted a Lagos roundtable on how companies can move AI from experiments to real business results.
- Business and HR leaders heard that staff training and clear leadership matter more than buying new tools.
- The firm outlined six principles, including betting on people and diagnosing needs before choosing solutions.
Companies chasing artificial intelligence (AI) are spending on platforms and tools, but the real test is whether their people are ready to use them, according to ALX Enterprise.
The firm made the point at an executive roundtable in Lagos themed "How the Intelligent Enterprise Runs on AI and Smarter Talent", where business and human resources leaders discussed why many AI projects stall after the pilot stage.
According to the discussions, employees are already experimenting with generative AI tools on their own, sometimes before their organisations have written any rules on what is allowed. That leaves managers unsure which tools are appropriate, what data can be shared, and how to measure success.
ALX argued that treating AI purely as a technology purchase rarely works. Without clear ownership, governance and investment in staff, even promising initiatives struggle to move beyond experimentation, it said.
What it means for Nigerian workers
The message matters for Nigerian employees and job seekers, who increasingly hear that AI will reshape offices, banks, media and small businesses. The roundtable's takeaway was that workers need practical training and room to practise, not just a login to a new platform.
An interactive simulation at the event showed how choices on governance, quick wins and workforce training could decide whether a company's AI plans gained ground or stalled under pressure.
ALX said AI adoption cannot be left entirely to IT teams or handled as a one-off training session. It needs active leadership and coordination across departments.
The firm set out six principles for leaders:
- Secure a clear mandate, with defined ownership and leadership backing.
- Lead the adoption, not the tool, by focusing on real business problems.
- Bet on people, not just tools, through ongoing training and support.
- Earn credibility by communicating openly about expectations, limits and risks.
- Diagnose before prescribing, by assessing readiness and gaps first.
- Sustain the coalition, with continued collaboration and regular reviews.
ALX described its own approach as a four-stage method: Diagnose, Design, Deliver and Measure, which ties learning programmes to business challenges.
Ruby Igwe, Regional Director for West and Central Africa at ALX, was listed alongside the article.
For ordinary Nigerians, the debate is less about which software a company buys and more about whether workers get the skills to keep their jobs and do them better as AI spreads.
