How AI Is Transforming Customer Service Efficiency — Insights from Gartner
Customer service leaders face a clear challenge: delivering greater efficiency while maintaining high-quality experiences. With personnel costs representing around 64% of customer service budgets, operational optimisation has become a top priority.
According to one of the latest Gartner® Market Trend reports, advances in Generative AI (GenAI) and Agentic AI are reshaping how contact centres achieve that balance. These technologies are expanding the scope of interactions that can be automated — and helping organisations identify, measure, and execute efficiency gains with far more precision than ever before.
Data Foundations for the Next Stage of Automation
Gartner® highlights that the success of AI-driven automation depends on strong data hygiene and knowledge management. Over the next 18 to 24 months, organisations investing in data readiness will be best positioned to adopt GenAI and Agentic AI for customer-facing use cases.
Clean, structured data and accessible knowledge repositories allow AI systems to deliver accurate responses and autonomous actions. This is what transforms customer service automation from a theoretical goal into a measurable, scalable capability.
Odigo supports this transformation through its data orchestration and knowledge management frameworks, helping organisations prepare their contact centres for sustainable AI integration.
Precision Over Blanket Automation
Not every customer interaction is suitable for automation — and Gartner is clear that a targeted approach is essential.
Interactions differ in complexity, sensitivity, and business priority. Low-complexity, low-sensitivity cases — such as FAQs, delivery updates, or account status checks — are well-suited for AI-driven self-service.
High-value, emotionally charged, or critical cases should remain with skilled agents, supported by AI tools that provide real-time insight and context.
By mapping interactions across these three dimensions, organisations can prioritise automation initiatives that maximise both efficiency and customer satisfaction. Odigo’s intelligent routing and omnichannel design are built around this principle — ensuring each query reaches the most effective resolution path.
Quantifying the Value of Automation
The Gartner® research underscores the growing expectation for data-driven justification of AI investment. Service leaders now demand quantifiable ROI from automation projects.
Benchmarking data shows that customer service automation can generate substantial operational savings as automation maturity grows. Gartner’s model projects that as automation containment rises — reaching up to 40% of interactions by 2029 — organisations will unlock significant cost-efficiency gains.
The key is transparent value demonstration. Providers must show how automation delivers measurable outcomes across efficiency, speed, and customer satisfaction. Odigo enables this through performance dashboards and predictive analytics that translate AI outcomes into actionable business metrics.
From Efficiency to Empowerment
While automation drives measurable efficiency, Gartner® notes that agent enablement remains critical. In scenarios where human expertise is required, AI can still enhance performance — summarising cases, surfacing insights, and suggesting next-best actions.
This balance between automation and augmentation ensures that the contact centre of the future isn’t just more efficient — it’s more intelligent, resilient, and human-centred.
Odigo’s AI-powered assistive tools empower agents to deliver faster, more informed service, creating a collaborative relationship between people and technology.
Conclusion
The Gartner® 2025 Market Trend report makes one thing clear: automation success depends on strategy, data, and precision. Organisations that identify the right use cases, prepare their data foundations, and measure ROI effectively will lead the next wave of customer service transformation.
With Odigo, contact centres can realise these benefits responsibly — combining the agility of automation with the empathy of human expertise.
