“Today, algorithms process claims in seconds, but it’s easy to overlook the human voice on the other end that just makes people feel better. For insurance companies, the challenge is knowing when to let people take the lead.”
Technology is rapidly changing insurance underwriting, claims, distribution, and service. AI models organize claims, chatbots answer policy questions, predictive analytics drive risk selection, and straight-through processing is the new standard.
Most executives still find that efficiency alone isn’t enough to build loyalty. Automating processes isn’t building trust, as shown by the still-high numbers of unhappy insurance customers who see faster service.
Insurance companies need the magic bullet that delivers faster, more efficient business operations and happier clients. This situation is where balancing technology and people can be the answer, where technology scales operations, but human-to-human contact creates customer loyalty.
Let’s take a look at where the human touch is the most impactful at insurance companies to produce this magic bullet.
Claims – When Empathy Drives Retention
AI flags fraud, estimates damage from photos, and approves less severe claims in seconds. McKinsey estimates that AI can reduce claims processing time by up to 70%.
This reduction is a huge improvement for families and businesses that experience a fire or a major loss. Clients don’t remember how quickly the claims process moves, but they do remember how the insurance company treats them.
This aspect is where the human touch matters:
- Complex or high-severity claims
- Sensitive life events such as death, disability, major illness
- Escalations and disputes
- Gray-area coverage interpretation
One study finds that increases in sympathy and clear communication strongly influence how happy customers are, and their willingness to stay with an insurer. Technology speeds up processes, yet can’t replace emotional intelligence.
Design workflows with a “pass to a human trigger” that starts when there’s a sign of vulnerability or negative customer feedback. It should automatically go to a specially trained human specialist who can make judgment calls.
Speed is good for the routine, but you need humanity for the meaningful.
Underwriting Goes Beyond the Judgment Model
Analytics transforms underwriting by leveraging risk models that use telematics and other data sources. AI underwriting improves loss ratios and pricing accuracy, especially in personal lines.
Each model still has its blind spots, so this is where the human eye still matters:
- Novel or emerging cyber and climate-adjacent risk exposures
- Small commercial and specialty lines
- Cases with little data
- Considering ethical or reputational risks
Algorithms may reject these items due to past loss trends, but the experience of human underwriters makes it easy for them to spot unique factors and lower risk. This aspect makes it clear to a human that rejecting these underwriting opportunities hurts a long-term customer relationship.
Human intuition connects the dots between a statistical probability and business strategy, so invest in an augmented underwriting process that keeps the human eye in the loop. Provide underwriters with AI recommendations, but remind them they are the responsible final decision-makers.
This process requires:
- Continuous training in model interpretation
- Clear override rules
- Feedback processes between underwriting and data science teams
Models deliver information to humans to help them make a final decision.
Automation Doesn’t Produce Trust in the Customer Experience
Digital self-service is a customer expectation that doesn’t replace the need for human reassurance. Clients need that personal connection to a person now more than ever, for:
- Explaining policies during major life changes
- Discussing confusion in a billing dispute
- Finding a coverage gap after reporting a loss
- Resolving complaints
Policyholders want clear answers from someone who takes responsibility during moments of confusion. Insurance is a promise business, with trust built into the product.
Know your “moments of trust” for your company that identify where policyholders feel the most uncertainty and concern:
- First claim
- Policy renewal with rate increase
- Coverage denial
- Major life event updates
Ensure these moments stay with well-trained, empowered professionals, not just scripted call center agents. AI makes insurance operations more efficient, and humans build client loyalty.
Crisis Response and Reputation Management
Natural catastrophes are more frequent and severe. In 2023, the U.S. had 28 separate billion-dollar weather and climate disasters.
During these disasters, visible leadership matters more than anything else, and people provide the faces of this leadership:
- Regular public communication during catastrophes
- Quick deployment of field teams
- Public participation and regulatory communication
Insurance company reputations stem from how they handle payouts and how readily they are available to policyholders who suffer a loss. Executives who show up in disaster areas to visit affected areas, support frontline teams, and support clients send a message that no algorithm can match.
So, design a “people-centered” catastrophe playbook:
- That identifies lead executive spokespersons
- Confirms regional response ambassadors
- Establishes cross-functional decision war rooms
- Provides for real-time monitoring of customer sentiment in the disaster zone and in all company market areas
AI Adoption Ethics and Rules
AI’s influence is growing across many systems, so moral oversight is essential. The National Association of Insurance Commissioners (NAIC) principles on the use of AI stress fairness, accountability, and transparency.
But with AI still not able to do these things, we still need people to understand reputational risk, weigh public perception, or determine changing social norms to address:
- Bias monitoring and remediation
- Regulatory interpretation
- Model risk management
- Tactical deployment decisions
We need to empower them to put fairness first when necessary.
Talent, Culture, and Change Management
We often overlook the internal human aspects of digital transformation. Employees have automation anxiety, demands for new skills, and changing workflows.
Nearly 50% of employees worldwide will need reskilling due to technological change. Technology doesn’t transform organizations; people do.
Where Humans Still Matter:
- Change communication
- Leadership transparency
- Skill development and upskilling
- Cultural alignment
If employees view AI as a threat rather than a helpful tool, adoption will slow. Present AI as a way to support employees, not replace them.
- Publicly celebrate employees’ success stories effectively using AI.
- Tie performance measures to human-centered outcomes, not just automation rates.
- Invest in training that builds analytical judgment, not just system proficiency.
A culture that empowers employees works better than one that replaces them.
Finding the Balance with Practical Steps for Insurance Executives
Balancing innovation and humanity isn’t just philosophical; it’s practical. Here are practical steps leadership teams can take:
Audit Your Human Touchpoints
Map every major customer journey and identify:
- Fully automated steps
- Hybrid steps
- Fully human steps
Ask yourself, “Are we automating the right things?”
Create Escalation Intelligence
Use AI to spot emotional signs like repeated calls, negative sentiment, or serious claims and trigger human help.
Redefine KPIs
Move beyond:
- Average handle time
- Straight-through processing rate
Add metrics, for example:
- Customer confidence scores
- Post-claim retention
- Escalation satisfaction ratings
What you measure influences behavior.
Train for Judgment
Upskill staff in:
- Empathy-based communication
- Moral judgment
- Model interpretation
- Multifunctional collaboration
The workforce of the future will need emotional intelligence just as much as technical skills.
Lead Visibly
During times of change or crisis, executives need to be visible through town halls, transparent updates, and open Q&A sessions. Shape culture during difficult times by being visible.
Insurance will continue to digitize, automation will increase, and AI will become more advanced. But at its core, insurance is still about protecting people in periods of vulnerability.
Technology can process claims in seconds, but it can’t comfort a grieving family. Algorithms can accurately price risk, but they can’t weigh long-term customer relationships.
Automation can reduce costs, but it can’t build trust. The real question is, “Where will you intentionally protect and strengthen the personal element?”
The companies that succeed won’t be the most automated, but the ones that know when to let their people take the lead. Welcome to the future of insurance that runs at the speed of now.
Agility Holdings Group (AHG) invests in innovative InsurTech, HealthTech, and related companies that aim to revolutionize access to insurance products, establish patient care, and improve health outcomes. Please visit our LinkedIn page for more information about AHG.