Process Excellence in insurance: The strategic foundation for agentic AI
In order to implement agentic AI successfully, most insurers recognise that simplifying operations and strengthening customer relevance are critical priorities. Yet many struggle to achieve these goals because of the organisation's complex, historically grown operational foundation. The starting point? Their processes.
Why transformation and the creation of value from AI value often stall in insurance
Swiss insurers are operating in an environment shaped by persistent cost pressures, rising customer expectations and a sharper focus on measurable transformation outcomes. At the same time, boards and executive teams are expected to convert investments in AI, automation and digital platforms into business value.
Many organisations have already taken important steps. Yet results are often uneven. Progress takes longer than expected, benefits remain fragmented across functions, and promising initiatives struggle to move beyond isolated use cases.
In many cases, the constraint is not ambition, funding or the technology itself. It is operational complexity. Processes have evolved over time across products, channels, markets and legacy environments. Decision rights are not always clear. Data is not consistently structured. Handoffs are too manual. In these circumstances, technology can struggle to deliver value at scale.
This becomes even more critical as insurers move towards agentic AI, autonomous agents operating across workflows depend on clear process design, reliable data, defined controls and transparent ownership to perform consistently and responsibly.
Where operational complexity becomes visible
Operational complexity usually becomes visible in three places:
- Customer journeys become fragmented
Functions, channels and regions often operate with different service logic, response times and ownership models. This weakens customer centricity and makes it harder to create the consistent, friction-reduced experience that customers increasingly expect. - Operations become slower and more expensive
Manual workarounds, duplicate controls, unclear responsibilities and disjointed workflows increase cycle times and cost. They also raise operational and compliance risk. What appears to be a technology or resourcing issue is often, at its core, a process design issue. - Technology investments fall short of their potential
AI, automation and analytics can be powerful enablers, but they create the strongest impact only when they are embedded in processes that are standardised, measurable and governed end-to-end. Without that foundation, technology tends to optimise fragments rather than improving the whole.
This matters even more in an agentic AI environment, where autonomous systems rely on standardised workflows, decision rules, ownership structures and data integrity to deliver value at scale.
Process Excellence is not a support activity: It is a strategic enabler
Process Excellence is the disciplined redesign and continuous improvement of how work gets done. It combines methodologies such as Lean, Six Sigma, Business Process Management and process mining to create more streamlined, standardised and data-driven operations.
For insurers, this is more than an efficiency programme. Properly embedded, Process Excellence becomes a management discipline that connects strategic ambition with execution. It helps organisations simplify operations, clarify accountability, focus investment and build the operating readiness required for scalable transformation, including the effective deployment of agentic AI.
Five ways Process Excellence creates value
- Strategic alignment and execution discipline
Process Excellence translates strategic priorities into executable change. It connects leadership intent with frontline execution, strengthens cross-functional alignment and supports better steering through relevant operational indicators. - Customer centricity and journey consistency
When end-to-end processes are aligned with customer expectations, insurers can deliver more consistent, responsive experiences across claims, underwriting, service and policy administration. This improves satisfaction, trust and retention. - Operational efficiency and cost clarity
Simplified workflows, reduced variability and fewer manual handoffs lead to faster cycle times, lower error rates and better use of existing capacity. The result is not only lower cost, but also greater transparency about where value is created or lost. - Technology enablement, AI scaling and agentic AI readiness
AI and automation have the strongest impact when process steps, business rules, ownership and data inputs are clear. Process Excellence creates that environment. It allows insurers to deploy technology faster, with better control and a higher likelihood of measurable return. - Organisational agility and change readiness
When continuous improvement becomes part of the operating model, organisations respond faster to market change, regulatory developments and internal priorities. Teams become more empowered, and change becomes more repeatable.
Why this matters now
This has become a leadership priority because the industry is moving from experimentation to implementation at scale. AI is becoming more relevant across underwriting, claims, customer service, compliance and support functions. At the same time, expectations around speed, transparency, service quality and cost discipline continue to increase.
In this environment, the ability to deploy agentic AI effectively will depend increasingly on the strength of the underlying operating model. Process Excellence is therefore not a side programme. It is the operating foundation that enables innovation at scale with greater confidence. It improves the probability that technology investment translates into business value. It also creates more resilient operations and more coherent customer experience.
Three questions boards and executive teams should ask now
- Are our core processes designed end-to-end around current and future customer expectations?
- Do our critical workflows support consistency, speed, control and adaptability?
- Are our teams sufficiently empowered and accountable to improve processes and execution on a continual basis?
If the answer to any of these questions is no, the path forward involves embedding Process Excellence as a core capability rather than treating it as a standalone improvement initiative.
How Deloitte can support
For many insurers, the challenge is not recognising the need for Process Excellence. The challenge is turning that need into focused, enterprise-wide execution. This is where Deloitte can provide support.
We work with insurers to strengthen the operational foundations required for scalable transformation, combining business process expertise, customer journey redesign, data-driven insight and implementation discipline. Our support typically spans operating model design, end-to-end process redesign, process mining and analytics, governance clarification, and the integration of Process Excellence with data and AI priorities.
Where this is done well, insurers can achieve:
- Faster and more reliable processing across underwriting, claims and service
- Lower cost through simplification, standardisation and automation
- Stronger customer outcomes through more coherent journeys and service models
- Greater return on AI investments through clearer processes, better data and stronger operational readiness.
Conclusion
In the coming years, the leading insurers are unlikely to be those that simply invest the most in technology. They will be those that combine technological ambition with operational clarity, execution discipline and the ability to scale change across the enterprise.
Process Excellence has therefore become a strategic priority. It reduces complexity, strengthens customer relevance, improves efficiency and creates the conditions for AI and automation to generate measurable value. In an environment shaped by agentic AI, insurers will need transformation capabilities that combine deep process expertise with strong data and AI capabilities. That combination is becoming a critical ingredient for long-term success.
For boards and executive teams, the message is straightforward: if agentic AI is expected to scale, the operational foundation must be strengthened deliberately. In insurance, better transformation often starts with better processes.
Authors
- Dr. Marcel Thom, Partner, Insurance Lead Switzerland
- Dr. Madan Sathe, Partner, Forensic & Financial Crime
- Martin Gertsch, Director, Technology & Transformation
- Paul Vandrey, Manager, Technology & Transformation
- Maxime Vandierendounck, Senior Consultant, Technology & Transformation
