11/12/23, 4:43 PM
Allstate’s cloud-first approach to digital transformation pays off | CIO
Home • Cloud Computing • Allstate’s cloud-first approach to digital transformation pays off
by Paula Rooney
Senior Writer
Allstate’s cloud-first approach to digital transformation pays off
Feature
Oct 20, 2023 • 6 mins
Cloud Computing
Digital Transformation
Insurance Industry
The insurer is going cloud native by rebuilding its core applications to align with next-generation business processes tailored to enhance and
accelerate the customer experience.
CREDIT: ZULFI JEEVANJEE / ALLSTATE
Most companies’ digital journeys begin by migrating legacy applications to the cloud — the theory being that lifting and shifting workloads
can provide a fast onramp to making good on services and capabilities unique to the cloud.
But home and automobile insurance company Allstate is taking a different approach. Zulfi Jeevanjee, EVP and CIO, believes the best way to
build and align next-generation business processes and modern IT platforms is to build anew, and so he is taking a cloud-first approach to
digital transformation, dumping out all legacy infrastructure along the way.
The result, Jeevanjee says, is a technology-driven business strategy “that’s a very empowering thing.”
To fuel its transformation, the Northbrook, Ill.-based insurer has rebuilt its core application for claims processing, sales, and support, and
plans to overhaul its entire portfolio of business processes, all with the aim to enhance and accelerate the customer experience. Nearly 40%
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11/12/23, 4:43 PM
Allstate’s cloud-first approach to digital transformation pays off | CIO
of the company’s business processes have now been digitized, and filing claim time — a key measure of customer satisfaction — has been
reduced from four minutes to 43 seconds, according to the company.
Aside from digitally rebuilding its processes, Allstate has also methodically adopted a multicloud architecture based primarily on AWS for
containers and development, and Google BigQuery and Vertex and Microsoft Azure GenAI for specialized AI workloads.
Many companies are taking this same approach — using BigQuery and Vertex for generative AI pilot applications to gain new insights and
produce better business results. At Google’s recent Next conference, for instance, L’Oréal and Shopify announced they are using BigQuery in
gen AI pilots to accelerate and optimize business processes.
Allstate’s Jeevanjee credits the company’s top brass for grasping the importance of aligning its IT infrastructure with new business processes,
which had to be rearchitected to maximize the rewards and minimize the risks of its switch to digital business. And it has all been undertaken
with a cloud-first approach.
“It was built and designed to run on the cloud,” Jeevanjee says. “It wasn’t built to run on premise.”
Re-engineering how claims processing gets done
In many ways, Allstate is still at the beginning of its digital journey — only 3% to 4% of claims “on the book” are currently processed on the
cloud and much data remains in on-prem XML databases common to the insurance industry — though the advanced technology and business
modernization blueprint is rock-solid, the CIO says.
Allstate’s global IT team, with staff based across North America, Northern Ireland, and India, developed the infrastructure and new processes,
deploying them first in Allstate’s home state of Illinois for nine months to determine how customers would react to the new digital experience
before rolling it out in Tennessee. Allstate expects to be up and running in about one third of the US this year for automobile policies through
direct distribution.
“We learned a ton about how customers react to us, and this is what I mean about changing our organization,” Jeevanjee says. “Getting a fast
focus on that experience was extremely helpful in making the experience the best we possibly could.”
Allstate began moving to the cloud in 2019 and began the deployment of its curated multicloud blueprint upon Jeevanjee’s return to the
company in 2022.
As the company re-engineers and tests every aspect of its auto and home insurance applications in each state, it is building it anew on AWS
as the core workhorse, while making use of Google and Microsoft cloud services for specialized applications such as AI.
The methodical approach does not mean Allstate is a technology novice. The company deployed automation in business processes long ago
to remove manual steps and speed up the transactions.
In fact, the company has deployed several machine learning models for key applications, including claims predictions — such as determining
whether an automobile in an accident is a total loss — and more evolved homegrown-trained machine learning models that make these
recommendations independently.
Enhancing customer experience with gen AI
Allstate has also developed a generative AI application based on ChatGPT 3.3 informally dubbed MyStory, which vastly reduces the time for
customers to report a claim after an accident or incident. Rather than go over and over an account of an accident to various clerks and
adjustors, customers recount the incident once and it is summarized in a document and delivered to all necessary parties.
When a human representative calls the customer, they are fully informed and ready to move to next stages. “We put people in the flow when it
matters most,” says Jeevanjee, noting this important change in the process has vastly improved customer satisfaction.
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Allstate’s cloud-first approach to digital transformation pays off | CIO
Arun Chandrasekaran, distinguished VP and analyst at Gartner, says he is seeing similar generative AI pilots being undertaken at financial
services and other insurance companies, as well as technology, media, and entertainment organizations.
According to Chandrasekaran, insurance companies have been leading the way to implement technologies such as speech to text and
transcription to speed up claims processing and customers satisfaction, and use of generative AI, which, although presently low in the
insurance industry, is projected to grow significantly in the next 12 months, is just the latest stab at achieving these outcomes.
“These use cases have been around in the insurance sector actually for a while now,” he says. “Where language models can add value
essentially is in terms of better cognition, because they’re able to craft responses” and bring in more information to re-create events in an
effort to more accurately handle claims. “As models evolve in the future to become fully multi-modal, they [will be] able to traverse different
types of data.”
One of the four largest automobile and home insurers in the US, Allstate manages roughly 190 million policies protecting cars, homes,
motorcycles, health, disability, lives, personal devices, and identities, according to a company spokesperson.
The organization employs roughly 54,500, and supports 10,100 exclusive Allstate agents and 51,900 independent agents. About 7,000
employees are dedicated to IT throughout the company under Jeevanjee’s leadership.
The CIO’s biggest challenge in its cloud-native approach from the start is “changing the culture to become a digital company,” Jeevanjee says,
noting that getting the commitment from the entire C-suite to embrace the plan has made his job far easier. “What we’ve done is look at all of
our processes and make them digital ready.”
by Paula Rooney
Senior Writer
Paula Rooney is a senior writer at CIO.com
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