The adoption of artificial intelligence is moving beyond basic experimentation into structured workforce and business transformation. While many businesses have started using AI tools for productivity, the next stage requires stronger workforce readiness, clearer workflow redesign, and practical upskilling.
The key challenge is no longer whether AI tools are available, but how these tools can be integrated into daily operations without creating employee resistance, confusion, or disruption.
As accountancy continue to face rising labour costs, manpower dependency, repetitive manual work, workflow inefficiencies, task duplication, high staff turnover, skills mismatches, and limited internal capability, these pressures are accelerating the need for job redesign and technology-enabled transformation.
Funding support through the Workforce Development Grant, Job Redesign+ which is capped at $150,000 to eligible SMEs of up to 70% and non-SMEs eligible for up to 50%.
A key takeaway is that AI readiness depends on people, not tools alone. Firms need leaders and employees to develop the right mindset, adaptability, confidence, and capability before AI can deliver meaningful results. Without people readiness, workflow redesign may create resistance. Without leadership clarity, employees may be uncertain about how AI affects their roles.
The recommended approach is to start small, learn together, and scale intentionally. Instead of attempting full-scale AI transformation immediately, companies can begin with targeted use cases such as automating repetitive work, improving content creation, supporting customer engagement, strengthening reporting, or enhancing business analysis.
Workflow redesign is becoming the foundation of effective AI implementation. Firms should review existing processes before applying automation, including to identify low-value repetitive tasks, clarify where human judgement remains critical, and redesign workflows so AI supports employees rather than replacing decision-making entirely.
AI should be applied intentionally, not blindly across every process. Firms need to assess operational risks, workforce impact, and business value before deciding where AI should be introduced. When implemented well, AI-enabled workflows can help companies increase capacity, improve productivity, and take on more business without immediately increasing headcount.
However, a major barrier is the lack of skilled personnel, about 65% of users apply AI for basic use cases, while only 17% use AI for product development. We need to move beyond surface-level AI usage. AI should not only support efficiency or cost savings. It should also contribute to innovation, market expansion, product development, revenue growth, and stronger customer engagement.
Effective AI upskilling must be role-based and practical. Generic AI awareness is not enough. Employees need hands-on training that shows how AI can be applied directly to their daily work in areas such as finance, HR, management, engineering, marketing, and operations.
A broader workforce transition by hiring mid-career switchers or reskill existing employees through structured on-the-job training. Drawing from Career Conversion Programme is available for salary support up to 70% under the standard rate and up to 90% under the enhanced rate for eligible employees aged 40 and above, subject to satisfying programme requirements and caps.
The direction is clear: AI transformation should be human-led and AI-powered. Successful firms will combine leadership clarity, employee confidence, workflow redesign, and practical AI upskilling.
AI adoption is not simply about deploying new tools. It is about building an AI-ready organisation where people, governance, workflows, automation, innovation, and confidence work together. Firm should consider to start small, train their people, redesign processes, and scale with intention will be better positioned to improve productivity, strengthen resilience, and unlock new growth opportunities.