If you’ve ever dealt with an insurance claim, you know how frustrating and time-consuming the process can be. For insurers, it’s no less of a headache. Manual claims processing often means endless paperwork, long wait times, and a higher chance of mistakes slipping through the cracks. For policyholders, that translates to delays and, honestly, unnecessary stress.
This is where claims automation steps in to save the day. Thanks to innovations in insurance tech like AI and machine learning, the insurance landscape is changing fast. These tools are cutting through inefficiencies, unclogging bottlenecks, and bringing much-needed speed and accuracy to claims handling. Today, insurance software developers and life insurance tech companies are building innovative, automated solutions to tackle what used to be painfully slow, manual tasks.
The benefits are hard to ignore. Companies using custom insurance software development are now catching errors before they happen, flagging fraudulent claims in real-time, and giving policyholders a much smoother overall experience. Whether it’s life, auto, or healthcare insurance automation, insurers see how technology can transform their operations into something faster, smarter, and more customer-friendly.
It’s not just about tech, for tech’s sake. This shift toward automation is helping insurers lower costs, save time, and free up their teams to focus on what really matters–their customers. And in an industry as crucial and personal as insurance, this is a win for everyone involved. This article will answer the critical question: How claims automation cuts costs and improves insurance efficiency?
Read about DevOps transformation for the insurance company here.
Imagine a world where filing an insurance claim doesn’t feel like pulling teeth. No endless back-and-forth, no repeated calls for updates, and no delays in getting what you’re owed. That’s the promise of claims automation, a game-changing approach helping insurers deliver faster, smoother, and more accurate outcomes for their customers.
At its core, claims automation is all about using technology to handle the nitty-gritty of the claims process. Instead of manual reviews and checks—which can be slow and error-prone—insurers are turning to powerful tools like AI, machine learning, and digital claims management systems.
These solutions speed up approvals and help spot potential fraud, ensuring that legitimate claims are processed efficiently and fairly. The industry is seeing a surge in more ingenious ways to handle claims, from custom insurance software development to AI-powered claims automation software.
Why does this matter so much? Well, in today’s fiercely competitive market, speed and accuracy can make or break a business. Policyholders don’t just want their claims to be processed quickly; they expect it. And when insurers can’t deliver, customers are often quick to look elsewhere. On top of that, because modern insurance is increasingly global and complex, scalability is a huge factor.
With claims automation, leading InsurTech companies and insurance software developers give insurers the tools to process more claims in less time without sacrificing quality.
Trends like the rise of InsurTech and advancements in insurance tech are driving this shift. The InsurTech industry is buzzing with innovative solutions that combine AI, predictive analytics, and fraud detection to create seamless customer experiences. Whether it’s real-time claim assessments or automated workflows that reduce bottlenecks, technology is reshaping how insurers handle claims. These advancements benefit even niche areas like healthcare insurance automation and automotive insurance digital tools.
For insurers, the message is clear. Investing in insurtech and fintech solutions isn’t just about staying ahead of the curve but transforming how they do business. Speed, accuracy, and scalability aren’t just buzzwords anymore—they’re critical elements that help insurers survive and thrive in a fast-evolving market. And with claims automation leading the charge, the future of insurance is looking brighter, faster, and smarter for everyone involved.
If there’s one thing everyone agrees on about the insurance claims process, it’s that waiting is the worst. The lag time in claims handling can be frustrating for insurers and policyholders. Fortunately, we’re living in a time when technology—not paperwork—is becoming the backbone of the insurance sector, and automated workflows are a big part of this transformation.
Read the case about the transformation of legacy medical claims application!
Automation is like a supercharged assistant for insurers. It cuts out the repetitive, manual tasks that slow things down and creates a smoother, faster claims process. With AI and machine learning tools, modern insurers can now process claims in record time. How? By using real-time data processing to remove bottlenecks and speed up decision-making.
For example, insurance software developers are creating intelligent systems that can flag issues, validate information, and send approvals faster than any human could manage alone.
Imagine a claim for a car accident. Traditionally, you’d have paperwork traveling back and forth between adjusters, verification officers, and policyholders. This could take days, even weeks. Now, thanks to automation, several steps are streamlined.
Need to collect documents? Automated systems like those advanced by custom insurance software development services can request and organize digital copies immediately.
Do you need to check if the data matches the policy details? AI handles that task in seconds rather than hours. Even claims approvals are being automated, with intelligent tools evaluating all the data and making quick, accurate recommendations to insurers.
What about errors? With systems doing the heavy lifting, there’s much less room for mistakes. Forget about lost forms or misfiled data. Fraud detection tools built into modern claims automation software can even scan for red flags while processing everything in real-time. This lets insurers act quickly to protect themselves against risks while keeping their honest customers happy and stress-free.
The rise of insurance tech, led by innovative InsurTech startups and insurance software development companies, is rewriting the claims processing rules. Beyond speed, it’s about creating workflows that scale. Whether you’re processing a handful of claims or thousands, automation is the key to staying agile, efficient, and competitive.
Fields like healthcare insurance automation and automotive insurance digital solutions already benefit from these tools, allowing insurers to focus on delivering better customer care.
At its heart, automated workflows aren’t just about cutting down the hours in claims processing; they’re about giving insurers and their policyholders a better overall experience. Insurers can save time and costs while customers avoid the dreaded waiting game. It’s a win-win, and as new technology continues to evolve, the process will only improve. Automated workflows take the insurance industry from “hold on to your patience” to “we’ve already got it handled.” And honestly? It’s about time.
When it comes to insurance claims, accuracy is everything. An error in their claim can feel like an extra hurdle for policyholders at an already stressful time. For insurers, inaccuracies cost money, time, and customer trust. The good news? Automation tackles these challenges head-on, bringing precision and reliability to a historically error-prone process.
One of the biggest roadblocks in manual claims handling is human error.
Picture this: an employee working through dozens of claims daily, manually entering data, toggling between multiple systems, and piecing together policy details. Mistakes, whether it’s a small typo or a miscalculated payout, are almost inevitable.
But automation changes the game with its reliance on advanced insurance software development services. By automating tasks like data entry and claims assessments, insurers can eliminate many risks tied to manual work.
AI-powered systems take things a step further. These technologies excel at spotting anomalies and inconsistencies that the human eye might miss. For example, machine learning algorithms can comb through claims in real-time, flagging anything unusual—even patterns that hint at fraud. Imagine a life insurance company using predictive analytics to detect a surge in identical claims from the exact location. This insight isn’t just fast; it’s smart, helping insurers avoid costly payouts on fraudulent claims while ensuring legitimate ones are handled fairly and accurately.
Fraud detection is another area where automation truly shines. Machine learning in insurance is helping pave the way for smarter, more secure claims processing. With fraud detection systems, insurers can analyze an enormous amount of data—from previous claims histories to external databases—to identify signs of deception. For instance, a custom insurance software system might notice that a policyholder exaggerates the value of lost items in a home insurance claim. These tools bring objectivity to the process, protecting insurers and their honest customers.
It’s not just about catching mistakes or fraud after they happen. Automation helps insurers get it right from the very start. Systems can validate information as it’s being entered, cross-checking for accuracy against policy data and industry standards. This proactive approach reduces the chances of mistakes snowballing into bigger problems further down the line. AI-driven tools also ensure payout calculations are precise, taking into account all the policy’s fine print without any oversight gaps.
The adoption of insurance tech is making a big difference across sectors, from healthcare insurance automation to commercial insurance claims processes. Under the umbrella of innovative InsurTech services, insurers realize that automation isn’t just a tool but an essential ingredient for modernizing claims management. The result? Faster, cleaner, and more accurate claims handling that keeps customers satisfied and makes insurers more efficient.
By reducing human errors and improving payout accuracy, automation is creating a stronger, more trustworthy insurance landscape. It’s not about replacing people but giving them the tools they need to deliver better results. And in an industry built on trust and reliability, that’s a win for everyone involved.
Running an insurance company means keeping a constant eye on the bottom line, and claims management has long been one of the costliest parts of the business. The expenses can quickly add up between labor-intensive processes and financial losses from inaccuracies like overpayments. But that’s where automation steps in—not just to streamline operations but to make them more cost-efficient.
Think about the countless hours teams spend on repetitive tasks like data entry, document verification, and sender-to-receiver claims communication. These processes aren’t just time-consuming; they’re expensive. By automating these tasks, insurers can significantly cut down on labor costs. With insurance software developers designing systems that handle these workflows seamlessly, human teams are freed up to focus on higher-value tasks like customer service and strategic planning. This doesn’t just reduce costs; it makes the entire process more strategic.
That’s not all. Automating claims management helps insurers eliminate unnecessary payouts stemming from human error.
For example, an error in manual data entry could lead to a payout being approved much higher than it should be. However, with AI in claims processing and fraud detection software for insurance, systems can cross-check and validate amounts in real-time. A policyholder files a healthcare claim with inconsistent details about treatment dates or costs; automation tools could flag this immediately, avoiding overpayment and saving money.
Many leading companies are already seeing tangible savings thanks to automation. Take, for instance, an insurance software company that worked with an auto insurance provider to implement a telematics insurance technology program. By automating claim approvals for straightforward fender bender cases using real-time accident data, the insurer drastically reduced their processing times and saved money on labor costs. Or consider a life insurance tech company that uses machine learning to predict fraudulent claims before they’re approved. By catching these ahead of time, they’ve saved millions annually in lost payouts.
Another example is the InsurTech startups transforming medical insurance technology and healthcare insurance automation. These innovators use AI to quickly validate medical codes and treatment plans, ensuring the claims align with the patient’s policy coverage. Not only does this speed up the approval process, but it also minimizes errors that could result in unnecessary payouts. And because these systems scale so well, insurers can handle more claims with fewer resources, further cutting overall costs.
It’s also important to mention that automation reduces the reliance on paper-based processes, saving money on printing, storage, and mailing expenses. This might feel like a small detail, but these savings can be monumental over time for large insurers handling thousands of claims each year.
Adopting insurtech and fintech solutions has made cutting costs more achievable than ever. With tools like custom insurance software and cloud technology, insurers are investing in efficiency without compromising on quality. By reducing human involvement in tedious tasks, companies can focus on providing better service while enhancing their profitability.
At the end of the day, claims automation is more than just a cost-cutting tool. It’s a complete shift in how insurers operate, allowing them to work smarter, not harder, while delivering better experiences for their policyholders. And that’s the kind of win-win solution every business loves.
The insurance industry is evolving rapidly, and technology plays a starring role in this transformation. Among these advancements, AI and machine learning (ML) are spearheading a revolution in claims automation. These aren’t just impressive technologies; they fundamentally reshape how claims are handled, boosting efficiency, accuracy, and customer satisfaction. Here’s how AI and ML are transforming the space, step by step.
Two standout technologies in claims automation are Natural Language Processing (NLP) and predictive analytics.
By combining these tools, insurers can process claims faster and extract more profound, actionable insights, enhancing the overall claims management experience.
AI doesn’t just improve efficiency; it makes decision-making smarter.
These tools also shift claims assessment from reactive to proactive, equipping insurance teams with data-backed risk insights before claims occur.
Natural disasters and peak times have traditionally meant delays and overwhelmed claims teams. AI, however, changes the equation.
During crises like hurricanes or hailstorms, AI systems can triage claims. Simple, low-risk claims might be automatically approved, while more complex cases are flagged for human review. This allows insurers to maintain speed without sacrificing accuracy.
One real-world example is an auto insurer leveraging AI tools during a hailstorm. Hundreds of minor claims were processed and approved within hours, ensuring customers quickly received their payouts. Meanwhile, complex claims received human attention, striking the perfect balance between speed and accuracy.
At its core, AI isn’t just about automating claims. It’s about building trust and delivering better customer experiences. Insurers are strengthening their relationships with their policyholders by leveraging machine learning for fraud detection, predictive tools for proactive decisions, and NLP for seamless communication.
These tools showcase their value during peak periods or disasters by ensuring insurers remain reliable and responsive—even in high-pressure situations.
AI and machine learning are no longer futuristic ideals. They are here, playing an essential role in modern claims processing. Whether it’s simplifying everyday accident claims, enhancing risk assessments, or handling crises, these technologies are driving progress in the insurance industry.
With efficiency, accuracy, and smarter decision-making, insurers are improving processes and transforming how customers experience claims entirely. These tools foster trust and agility, and the future of claims management is undoubtedly AI-powered.
Let’s be honest. No one enjoys the stress of waiting for a claim to be resolved, especially during an already difficult time. That’s why fast and accurate claims processing is more than just a nice-to-have; it’s now essential for creating happier, more loyal customers. And thanks to automation and digitized claims systems, companies are finally delivering on these expectations.
One of the biggest wins for customers is faster claim resolutions. Imagine you’ve been in a car accident or your home has faced storm damage. The last thing you want is a drawn-out claims process where you’re left guessing and worrying. By using automated workflows and AI-driven technologies, insurers resolve claims more quickly and reduce customer stress.
For instance, AI-powered systems can often process and approve low-risk claims in hours. Automated assessments and real-time data validation speed up the entire process, meaning customers can get the funds they need to recover faster. The result? A process that feels less like a chore and more like a stable, reliable lifeline.
Faster processing times also mean fewer bottlenecks for insurance teams, allowing them to handle more claims in less time. That’s a win-win for everyone.
Another standout feature of digitized claims systems is the ability to offer 24/7 support. Most insurance customers don’t have the luxury of waiting until standard office hours to check on a claim or ask questions. Enter chatbots and automated updates.
Having access to these tools boosts customer satisfaction and helps insurers appear modern, responsive, and trustworthy.
At their core, digitized claims systems are about putting the customer first. Beyond speed and convenience, they foster a smoother, more reliable experience. For example:
Take, for instance, a homeowner who files an insurance claim after a burst pipe. Through a mobile app, they can upload photos of the damage, communicate seamlessly with claims adjusters, and track approvals from anywhere. With automated tools reviewing the details in the background, they may have a resolution in days instead of weeks.
Speed and accuracy are redefining claims processing, but how these benefits translate to customer experiences truly matters. Faster resolutions, 24/7 support, and transparent updates all make customers feel valued and secure. Combine those with the personalized, hassle-free touch of digitization, and you have a recipe for lasting customer loyalty.
Insurance may not be the first thing people associate with “great customer experiences,” but with these advancements, it’s clear that insurers are leveling up. Faster claims processing isn’t just improving operations; it’s changing how customers perceive insurance. And that’s the kind of transformation everyone can get behind.
Claims automation is no longer just a buzzword; it’s making significant waves across the insurance industry. By eliminating repetitive tasks, leveraging AI, and streamlining operations, insurers see enhanced efficiency, improved customer satisfaction, and substantial cost savings. Let’s explore some real-life and hypothetical scenarios that illustrate the tangible benefits of claims automation, with a focus on industries like automotive and property insurance.
The automotive insurance sector is one area where claims automation has shown incredible results. Here, quick resolutions are critical, as delayed claims processing can impact vehicle repairs, rental car arrangements, and overall customer satisfaction.
The general information: A leading auto insurer reduced its claim inspection time by 70% after implementing an AI-powered image recognition tool. Traditionally, damage assessments required a physical inspection by an adjuster, which could take days. With automation, customers can now upload damaged vehicle photos via a mobile app. The AI software analyzes these images almost instantly, determining the extent of damage and estimating repair costs.
Results: Claims that once took up to 5 days to process now receive initial assessments in under 24 hours. This improvement slashed operational costs and boosted their customer satisfaction score by 15%.
Hypothetical scenario: Imagine an auto insurer managing claims after a major hailstorm. Using predictive analytics, they anticipate a spike in claims and allocate additional resources in high-impact areas. Meanwhile, an automated system categorizes claims by severity, fast-tracking minor damages for approval. This ensures faster payouts, reducing customer frustration during a challenging time.
Automation in auto insurance turns a traditionally slow and cumbersome process into a fast, seamless experience, proving especially valuable during emergencies.
Property insurance claims often involve significant complexity, especially after large-scale weather disasters like hurricanes or floods. With automation, insurers are finding ways to simplify the process and reduce bottlenecks.
The general information: A property insurer adopted a digitized claims platform featuring Natural Language Processing (NLP) and AI-driven analytics. When hurricanes hit, claims poured in, but instead of overwhelming their staff, the system helped triage incoming claims. NLP tools analyzed written descriptions submitted by policyholders to identify high-priority cases, while AI detected discrepancies in reported damages to flag potential fraud.
Results: The insurer reported 40% faster processing times and 20% cost savings from improved fraud detection and resource allocation.
Hypothetical scenario: A homeowner files a claim after a kitchen fire damages their property. Through a mobile portal, they upload videos and receipts for damaged appliances. The automated system reviews the information in minutes, comparing market data to determine replacement costs. The claim is approved the same day, and funds are deposited into the homeowner’s account within 48 hours. What could have been weeks of anxiety becomes a stress-free, transparent experience.
Property insurance automation helps insurers handle surges in claims while maintaining accuracy and building trust with their customers.
Though it may not be as headline-grabbing, healthcare insurance is another field where automation has proven highly effective in cutting costs and enhancing the customer experience.
The general information: A healthcare insurer integrated Robotic Process Automation (RPA) to improve how they processed claims involving medical records and billing codes. RPA bots streamlined the matching of medical procedures with policy coverage, which previously required hours of manual checks.
Results: Claim-processing times dropped by 35%, reducing administrative overhead costs by 25%. Additionally, automation allows customer service reps to spend more time on complex cases rather than routine tasks, resulting in better customer care.
Hypothetical scenario: Imagine a patient filing a reimbursement claim for an ER visit. The system extracts details from the uploaded bill, verifies the policy coverage, and calculates out-of-pocket costs automatically. Within 24 hours, the patient receives an update that their claim has been processed, showcasing the value of speed and precision.
The healthcare industry proves that even traditionally paper-heavy sectors can achieve remarkable improvements with claims automation.
Claims automation doesn’t just reduce handling times; it delivers measurable cost savings for insurers. Across industries, automation’s impact is clear:
These results showcase how automation transforms bottom lines while enhancing operational efficiency and customer confidence.
Claims automation isn’t just a technological upgrade; it’s a game-changer. By speeding up processes, reducing costs, and creating transparent systems, insurers can focus more on customer satisfaction rather than being bogged down by administrative inefficiencies.
Industries like automotive and property insurance, which often deal with surges of claims due to accidents or disasters, particularly benefit from automation’s ability to scale operations without compromising quality. The result? Happier, more loyal customers and significant cost reduction for insurers.
If these examples prove anything, claims automation enhances processes and redefines efficient, customer-centric service in today’s insurance industry.
Automation in claims management is a game-changer for the insurance industry. From speeding up processes to cutting costs, it promises massive benefits. Yet, as with any significant transformation, it doesn’t come without challenges. Whether it’s the daunting cost of implementation or navigating outdated legacy systems, insurers may face roadblocks on their automation journey. But here’s the good news: these barriers can be overcome with thoughtful strategies and the right support. Let’s unpack the challenges and explore how insurers can move past them.
#1 Implementation costs: Investing in claims automation often requires significant upfront costs. This includes purchasing new technology, upgrading systems, and training staff. The financial hurdle can feel overwhelming for smaller insurers or those already grappling with tight budgets.
#2 Legacy systems: Many insurers rely on older systems that are not designed to integrate with modern tech. These outdated infrastructures can make transitioning to automation feel like trying to fit a square peg into a round hole, forcing insurance companies to address compatibility issues or risk entire system overhauls.
#3 Employee resistance: Change can be intimidating, especially for teams accustomed to working a certain way for years. Employees may worry that automation will replace their jobs or disrupt their workflows.
#4 Data challenges: Claims automation thrives on clean, structured data. However, insurers often deal with inconsistent, incomplete, or siloed data, making it harder for automation tools to function properly.
These obstacles can make automation feel less of an opportunity and more of a headache. But with the right approach, insurers can overcome these hurdles.
#1 Phased adoption strategies: Adopting automation incrementally is one of the most effective ways to manage implementation costs and complexity.
Phased adoption keeps costs manageable and reduces the pressure on teams, making the transition much smoother.
#2 Leverage partnerships: Insurers don’t have to go it alone. Collaborating with technology providers can ease the burden of automation.
Partnerships aren’t just about technology; they’re about gaining access to insights and expertise that can make all the difference.
#3 Modernize legacy systems piece by piece: Rather than overhauling entire legacy systems, insurers can focus on gradual modernization.
Legacy systems don’t have to be a dealbreaker; they just need a thoughtful approach to modernization.
#4 Engage employees early: The people using these systems daily are critical to automation’s success. Building confidence and trust among employees makes a massive difference.
Employees who see that new technology is designed for their benefit are far more likely to champion the change.
#5 Clean up data: Since good data is the lifeblood of automation, ensuring data is accurate and well-organized should be a top priority.
Strong data foundations create a smoother pathway to automation success.
Transitioning to claims automation isn’t without roadblocks, but every obstacle has a solution. Insurers can leap confidently by taking a phased approach, modernizing thoughtfully, and working closely with employees and technology partners.
What’s more, the benefits of overcoming these barriers are crystal clear. Faster claims processing, lower operational costs, and better customer experiences aren’t just perks; they’re the future of staying competitive in the insurance industry.
Automation doesn’t mean leaving behind what works. It means building on what’s already great and making it even better. And with the right steps, insurers will be equipped to keep up and lead the way.
Automation is changing everything, making the entire process easier, faster, and more accurate. It’s not just about new tech; it’s about creating a better experience for everyone involved. From cutting-edge AI to connected devices like smart cars and homes, the future of claims automation promises some incredible changes. But what does all this mean for you and the industry? Well, grab a coffee, and let’s break it down.
You’ve probably heard people throw “AI” as a buzzword, but it’s not just hype in insurance. AI is about making claims smarter, faster, and more fair.
Imagine this. A customer has just been in a car accident. Typically, this would mean phone calls, paperwork, and delays. But with advanced AI, here’s what could happen instead:
Pretty cool, right? It’s not a pipe dream. AI is heading in this direction and will soon become the new standard.
Insurance fraud has been an ongoing battle, but here’s where automation steps in as the hero. Right now, fraud detection often happens after the fact. A claim gets flagged suspiciously late, and investigators scramble to determine what went wrong. With real-time detection, though, those days could be behind us.
Picture this. Someone submits a claim for a stolen vehicle, but the insurer’s automated system gets suspicious because the GPS tracker in the car shows it’s parked safely at an airport. Or maybe biometric authentication spots that their photo ID doesn’t match their selfie verification when they file the claim through the app. Boom. Instant red flag!
The beauty here is that insurers don’t just save money. Honest customers aren’t stuck paying higher premiums because of someone else’s dishonesty. Everybody wins except the fraudsters, of course.
Thanks to the Internet of Things (IoT), our homes, cars, and even gadgets are getting smarter, and this tech is about to change how claims are processed.
Imagine this example. A smart water sensor detects a leaking pipe in your home. Before you even get home to see the mess, the IoT system has alerted your insurance provider. They’ve dispatched a plumber, reduced the damage, and started processing your claim.
Or what about cars? Telematics devices (those little gadgets that track your driving behavior) could send real-time data about an accident to your insurer. The time, location, and impact are all logged instantly, leaving no room for disputes or delays. This means no more tedious back-and-forth trying to prove the details of your claim.
With IoT feeding insurers accurate, real-time information, claims could go from being a headache to something you barely think about.
This brings us to InsurTech. The insurance world is buzzing with new players using technology to shake things up, and traditional insurers can’t afford to sit still. By leaning into automation, they stay competitive and offer services that customers genuinely appreciate.
Take, for example, personalization. Automation lets insurers cater to every individual. Someone who drives their car once a week might get cheaper, usage-based premiums, while a frequent driver gets instant claim approval for minor repairs. These kinds of tailored experiences build loyalty.
And there’s scalability. Whether the insurer handles claims during a small local storm or a major hurricane, automation systems ensure that no one’s claim gets left behind. Fast, consistent service becomes the norm, even in tough situations.
Claims automation offers undeniable benefits for insurers, from reducing costs to increasing efficiency and minimizing errors. By streamlining claims processing, automation can create a smoother, more reliable experience for insurers and their customers. It’s an opportunity to make processes smarter, simpler, and more effective.
At Hicron Software, we specialize in crafting claims automation solutions tailored to meet insurers’ unique needs. Our goal is to provide tools that make your operations easier while helping you adapt to the changing landscape of the insurance industry.
If you’re curious how claims automation could work for your business, now might be a good time to explore the possibilities and contact tech experts. It’s all about taking a step toward processes that are not only more efficient but also future-ready. With thoughtful planning, the path forward can lead to real improvements for your organization and the customers you serve.
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The IT system supporting the work of retail outlets is the foundation of our business. The ability to optimize and adapt it to the needs of all entities in the PSA Group is of strategic importance and we consider it a step into the future. This project is a huge challenge: not only for us in terms of organization, but also for our partners – including Hicron – in terms of adapting the system to the needs and business models of PSA. Cooperation with Hicron consultants, taking into account their competences in the field of programming and processes specific to the automotive sector, gave us many reasons to be satisfied.
