On paper, keeping legacy IT systems using software licenses purchased long ago seems cost-effective. After all, the tool is available to the whole company for a reasonable yearly maintenance cost.
But what is the cost of constantly pushing back business user requests for new use cases? And what about delaying process updates because the system is too rigid? What is the price of being blocked from integrating the old system with the latest applications?
Or of not being able to leverage modern AI?
Data shows that almost seven in ten IT decision-makers plan to increase cybersecurity budgets due to risks to document databases. And more than 80% of organizations say app integration issues hinder their digital transformation such as cloud migrations.
Indirect, hidden costs are hard to evaluate precisely. But chances are that they are staggering – and hurting your business more than it appears.
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The true cost of legacy systems
Legacy systems such as IBM FileNet, Hyland OnBase, OpenText Documentum or Microsoft’s SharePoint aren’t inherently bad. They were simply built with the best technology that was available at the time. These tools came to age before modern cloud architecture and generative AI emerged. For example, they offer “narrow” pre-Gen-AI tools (link). Nowadays, these systems struggle to meet evolving customer needs and market changes. Customizing them might be a time-sink as it requires lots of back-and-forth work that rarely yields productivity boosts. Upgrading them can be extremely expensive.
You might be taking significant risks if your organization fails to meet legacy systems’ complex maintenance needs. Running outdated software without vendor support exposes your business to cybersecurity threats and system failures. And paying for extended support as these systems reach end-of-life? That could drain resources that could go toward better, more productive tools.
Another potential and well-documented drawback is their lack of advanced AI features and capabilities. Legacy systems only automate to a certain extent, leaving your teams stuck doing manual tasks like categorizing and summarizing documents. It’s a massive waste of time and frustrates your staff and partners.
A smarter solution
Here’s the good news: there’s a better way. New-generation platforms like AODocs offer a reliable and cost-effective alternative. Built on a scalable, cloud-based architecture, AODocs can handle billions of documents. Users store their files securely on cloud providers like Google Cloud Storage, Azure, and soon, AWS S3.
You stay in control – but you’re no longer stuck.
With advanced and trustworthy generative AI tools used only on the right information, AODocs makes document management faster and safer. Its AI assistant categorizes, extracts, and summarizes documents so your team can access reliable info quickly. No more endless searches. No more inefficiencies.
AODocs integrates well with your business apps like SAP and Salesforce, making building integrations with other applications easy. When everything’s centralized, you gain fewer headaches, better security, and no more redundancy and pointless efforts to find that right_final_validated version of a file.
In short, the various costs of maintaining your legacy system are too high. Investing in AODocs increases productivity and positions your business for more robust, healthier and scalable growth.
