The enterprise software firm IFS, headquartered in London and recently appraised at €15bn (£12.6bn), is shifting its entire business approach to focus primarily on artificial intelligence (AI) as it aspires to achieve a remarkable $100bn valuation by 2029.
Focusing on asset-driven sectors like energy, manufacturing, aerospace, and telecommunications, IFS is directing more investments into AI-enhanced automation. The company is revamping everything from recruitment to customer service and software creation, positioning itself as an innovator in the traditionally sluggish enterprise resource planning (ERP) software realm.
During a recent IFS Connect UK & Ireland event, CEO Mark Moffat openly discussed the company’s transformation. “Everything is up for evaluation,” he remarked — indicating the integration of AI across all business functions and signaling IFS’s intention to lead the AI charge.
A crucial aspect of this transformation begins with recruitment. Moffat disclosed that IFS now employs an internal ‘AI test’ for every new position: essentially, prior to hiring, the firm assesses if the role’s functions can be automated. “We will still increase our workforce,” he informed City A.M., “but AI can aid in managing that expansion.”
The company’s strategy aligns with broader market trends, as organizations reevaluate job functions in light of advancing technologies. A recent International Monetary Fund report suggests that as much as 60% of roles in developed economies could be affected by AI — with both positive productivity implications and concerns about job displacement.
Though IFS emphasizes that the transition is not centered around layoffs, internal efficiencies remain a priority. Moffat indicated that over half of the firm’s research and development (R&D) expenditures are now aimed at AI advancements. These include integrated tools for predictive maintenance, agile scheduling, and automated workflows — features particularly beneficial in intricate industrial settings.
The company’s latest solution, dubbed Nexus Black, allows clients to create and implement custom AI applications in weeks — a notable shift from conventional enterprise software timelines that usually span months or even years. Moffat noted that interest in the initiative has already surpassed initial forecasts by ten times, highlighting a strong demand for customized, AI-centric solutions among businesses.
The firm asserts that it can keep up with demand without sacrificing quality, pointing to its expanding number of AI-skilled employees and its focused industry approach. Nevertheless, analysts highlight the potential pressure on engineering teams as these customized projects increase and clients seek faster rollouts.
“AI isn’t mere corporate performance,” Moffat stated. “It’s about achieving actual, measurable outcomes.” IFS seems intent on setting itself apart from traditional ERP providers, which Moffat characterized as “overloaded, sluggish, and excessive.” In contrast, IFS is investing in modular, specialized solutions expressly designed for capital-intensive clients who demand zero downtime.
This strategy appears to be yielding positive results. Japanese tech leader Konica Minolta reported a 25% increase in productivity and 83% automation of scheduling after implementing IFS’s optimization engine — resulting in a 4% return on investment within a year. You can view the complete case study on the IFS website here.
IFS has also secured significant clients, including Rolls-Royce Power Systems and the US telecommunications giant Comcast. The firm has surpassed €1bn in annual recurring revenue (ARR), with approximately 14% directly linked to AI-driven products — a percentage Moffat anticipates will grow swiftly as adoption progresses.
To achieve its $100bn vision, IFS is pursuing a mix of organic growth and acquisitions. Its future, however, hinges not only on revenue figures but also on how effectively it can fundamentally reshape enterprise software — from its construction to its staffing.
This paradigm shift raises not only technical and operational challenges but also cultural ones. While Moffat affirms that IFS is not initiating widespread layoffs, the company’s AI-first hiring approach and drive for automation evoke legitimate concerns regarding the long-term roles of human employees in knowledge-based industries.
“People need to engage,” Moffat advised. “If you’re not utilizing AI 20 times a day, you’re already lagging.”
As generative AI transforms the software landscape and investor enthusiasm for AI integration reaches new peaks — UK tech investment soared to £24 billion in 2023, with AI startups securing an increasing share — IFS is committed to avoiding the pitfalls that once befell industry-defining companies like Kodak and BlackBerry.
If it can blend operational accuracy with the speed required by its industrial clients, IFS may not only secure its future — it
