MagMutual: Asserting Efficient Workflows using Appian AI
Physician-owned healthcare insurer MagMutual has partnered with Appian, an AI-centred software platform that offers efficient workflow solutions.
MagMutual has successfully built a self-service quoting platform into its operations, optimising wait times with Appianās AI software.
The self-service platform has standardised underwriting processes and improved claims workflow. Mark Poling, Chief Customer Officer, MagMutual, says: āPeople got their policy within hours of us making our quoting portal available, and we got to US$1 million in revenue very, very quickly ā without even advertising it.ā
The portal has vastly improved in efficacy, with wait times for policies dropping from weeks to minutes.
The company has already reported a growth of US$1m owing to the new platform, with estimates that revenue will grow by up to 20%.
Policyholders are receiving a more efficient process as MagMutual as a result of the company running core insurance processes through Appian AI.
MagMutualās mission is to deliver healthcare liability insurance nationwide in the US.
Through the implementation of Appian for their core insurance operations, the organisation has achieved enhanced service delivery and improved policyholder experience.
The system has eliminated the requirement for staff to navigate between multiple platforms, thereby streamlining workflows and reducing operational friction.
The solution leverages Appian's data fabric technology to consolidate three legacy systems whilst integrating data from Salesforce, Oasis, and MagMutual's proprietary internal systems.
Additionally, the deployment of Appian Process HQ utilises AI to identify process bottlenecks and facilitate continuous operational improvement.
The Appian platform has enabled MagMutual to expedite its acquisition processes whilst minimising service disruption for customers.
Notably, complex policy migrations from legacy systems, which previously required three years to complete, have been reduced to a single year timeframe. Sheila Evans, Chief Product and Solutions Officer at MagMutual, says: āUtilising Appian AI, I see a ton of opportunity to help us continue to deliver against our strategic plans.ā
The rise of AI in the insurance industry
AI has already been portrayed as a transformative force, enabling insurers to automate and accelerate the claims process.
The technology is also a double-edged sword in the fight against fraud; while criminals can use AI to generate fake evidence, insurers are deploying AI-powered tools to enhance verification, profile fraudsters, and predict the risk of fraudulent activities.
AI has also helped insurers treat customers as individuals rather than numbers, which in turn can increase customer loyalty.
Despite some consumer mistrust in AI decision-making, the industry is increasingly embracing AI, with a focus on leveraging the technology to improve efficiency, productivity, and the overall customer experience.
Insurers and AI: then and now
A Goldman Sachs report in 2024 stated that 73% of insurers are leveraging or exploring AI to cut operational costs.
McKinsey published a report also in 2024 suggesting that AI could potentially deliver up to US$1.1tn in additional value to the insurance sector annually by 2030, while a PwC survey found that 68% of insurance companies use or plan to implement AI in their operations.
Covernet recently published a report, stating that insurers are frustrated with technology not keeping up with demands.
Insurance companies must urgently prioritise digitalization, as Covernet reports that an overwhelming 97% of insurers are already using digital platforms in some capacity.
Nasa and Planette AI has recently teamed up to improve extreme long-range weather predictions.
The use of AI will be fundamental to underwriters setting criterions for parametric insurance.
