Low code is the most valuable player of our new digital age. In fact, 83% of IT leaders today plan to increase their use of low-code development tools. And as access to and building with low code has gotten easier, in some ways it has gotten harder.
Too many choices gives us decision fatigue. And testing out each solution may negate the time savings of the technology. You think to yourself, “I just want to build an app.” But with a slew of options, tech leaders are often left wondering if they made the best decision for their organization amid a huge variety of choices.
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The secret to knowing where to begin is asking the right questions.
Let AI (artificial intelligence) do the asking for you
In a low-code market expected to jump from $10.3 billion to $187 billion revenue in the next decade, it’s crucial to know where to find the best answers.
Beyond the breadth of available tools, there are added challenges to consider when building business applications, such as deadlines, lack of easy access to experts, and compliance. Oftentimes, the only way to find support is through tedious phone calls or back-and-forth meetings with a specialist.
What if when building an app, your team could be guided to decisions that immediately best served your company?
New data-driven intelligence filters your decisions through facts, not noise.
Artificial intelligence (AI) knows how to ask the right questions. While many low-code tools end with drag-and-drop capacities, the ones with built-in automation can serve your company even further.
AI in the background can detect if:
- You are building duplicate entries
- You can optimize to dynamic — versus manual — forms and processes
- You have the most current data available
- You have proper governance in place
- You are missing information
Artificial intelligence asks, “Is this most accurate? Most current? Most favorable?” on the backend, so citizen developers can get back to clicks, not code, upfront. Instead of only knowing there is a problem when something doesn’t work, AI helps you proactively recognize things to improve in real time.
Simple process leads to strategic results
One example of this is having a personalized list of recommendations for low-code developers to take as they build. This saves mental bandwidth and prevents time spent wondering what to do. It streamlines next steps and is catered to your specific company’s needs based on unique analysis.
Business users crave data. But often live dashboards are not baked into building low-code apps. Just because teams want simplicity with process doesn’t mean they want over-simplification of their data. Rich, relevant feedback loops and smart suggestions by AI help keep data relevant.
Another way to iterate with confidence is by comparing your teams’ apps against other industry benchmarks in real time. AI can help analyze your configurations so that as you build, your apps and flows are based on metrics — not guessing. Best practices are already built into the process.
Access to low-code tools alone is not the total solution. The bloated market often overwhelms more than it supports. Citizen developers need both the tools and the guidance in order to meet the company’s needs.
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