• Systems integrator Celfocus pinpoints absence of cohesive strategy on AI hampering progress for businesses seeking significant gains in adoption.
  • By considering AI in the context of key business challenges, significant scalable breakthroughs can be made on customer experience, process efficiency, and workforce augmentation.
  • Efficiency gains of up to 40% are already being recorded for processes where considered solutions have been applied, with scope for replication across organisations. 

Source: Celfocus

AI changes must be measurable, scalable, and cultural for strategic success

Telecom operators and other enterprises are failing to make the most of growing AI capabilities due to lack of a clear, cohesive AI strategy, which is resulting in stalled progress, isolated successes, and a lack of scaled impact, according to systems integrator Celfocus.

However, the European data, AI, and automation specialist sees a considerable opportunity for rapid advances in efficiency, productivity, and innovation for telcos that recognise AI has advanced beyond peripheral competitive advantage to instead become a strategic necessity to embed within organisational culture.

Principal areas where AI is primed to make business‑wide impact are identified as:

  • Improving customer experience.
  • Reshaping business processes to deliver greater efficiency.
  • Providing tools that lighten the administrative load on the workforce.

In a recently published white paper, Celfocus identifies tangible gains already being achieved when AI initiatives focus on solving identifiable, and measurable, business challenges. These include:

  • Cutting call handling time by 15% for a communication service provider.
  • Automating 66% of procedures in the underwriting process for an insurance industry client.
  • Reducing query search times by up to 40% for the IT team of a European stock exchange.

Celfocus advocates for a collaborative co‑creation model for introducing effective AI‑driven solutions that starts with business case validation, sees flexible implementation that encourages wider adoption and integration, and features robust governance to ensure reliability and close alignment with organisational security, ethics and procedures.

Download the full AI Business Efficiency white paper now.