In the race to modernize, telecom companies are under immense pressure to deliver new services faster, cheaper, and more reliably. Enter hyperautomation—one of the buzziest (and most misunderstood) concepts in tech today. But what does it actually mean? And how do we separate hype from the real benefits of hyperautomation, especially in telecom, where system complexity and regulatory scrutiny are notoriously high?
What Is Hyperautomation, Really?
Hyperautomation isn’t just about adding more bots or throwing AI at every problem. It’s a strategic approach to automating as many business processes as possible. Think less about robotic process automation (RPA) running alone, and more about a layered approach: system integration, AI, rules engines, behavioral workflows, and yes—even humans when needed.
Traditional automation focuses on system-level tasks (e.g., RPA). Hyperautomation zooms out to the business process level. It asks: “Where are the repetitive, manual tasks that bog down our ability to move fast?” Then it eliminates them.
The goal isn’t to remove humans from the loop altogether, but to let machines do what they’re good at, so people can focus on the high-value, complex tasks.
The Benefits of Hyperautomation: Less Toil, Faster Delivery
The clearest wins from hyperautomation come from eliminating rote, repetitive work. Take the classic example of paper claims processing: instead of having a person manually review and validate claim details, well-defined rules and AI models can handle most of the volume. Humans only step in for edge cases.
In telecom development workflows, it’s the same principle. Developers often spend enormous time chasing infrastructure tickets, fixing outdated library versions, or translating product requirements into test cases. None of this is writing code—and none of it should slow down delivery.
Hyperautomation removes this friction.
Use Cases in Telecom
Accelerating Software Development
Telecom software delivery hinges on what’s called the software value chain: from defining what to build, to building it, to shipping it into production. Automation can strengthen every link in that chain.
One of the most powerful examples? Infrastructure provisioning.
In immature organizations, developers submit tickets just to spin up a server. In slightly more evolved shops, there’s a self-service portal. But, both approaches rely on human intervention.
With hyperautomation, infrastructure is defined in code. A developer writes a manifest that says, “I need a database, three app servers, and 8GB of RAM.” The automation engine provisions the infrastructure, runs security scans, and tears it down when the job is done. No ticket. No waiting. No confusion about cloud provider specifics.
This doesn’t just reduce toil. It changes the developer experience entirely.
Automation in Testing
One of the biggest blockers to fast releases in telecom? Testing.
Testing is often done manually or rushed in at the end—when it’s already too late to fix much. Teams scramble to validate that the software works as intended—or worse, they don’t. And when bugs hit production, it’s a scramble to triage and roll back.
Hyperautomation flips this on its head.
Instead of creating test scripts that fail when there are minor changes, product owners describe how the system should behave using simple, readable steps like “Given-When-Then.” Those descriptions are automatically turned into code and run through the testing pipeline—no need for someone to manually click through the interface.
Generative AI takes it a step further. Feed it a product description or a transcript from a planning call, and it can generate initial user stories or behavioral tests. While a human still needs to review, the time savings are substantial.
AI and Hyperautomation = Real-Time Resilience
Hyperautomation gets even more powerful when paired with AI.
One practical use case: automated alert response. Today, when an app misbehaves, a human gets paged. Typically, at 4 a.m. They stumble through logs to find the issue and manually apply a fix.
With the right AI models, systems can detect anomalies, guess the cause (e.g., memory spike), and apply pre-approved remediation steps (e.g., allocate more RAM). The next morning, a developer wakes up to a report: the system healed itself. Crisis averted.
This isn’t fantasy. It’s a growing reality in telecom environments that embrace intelligent automation architectures.
Best Practices for Real-World Implementation
Too many companies get excited about hyperautomation, then waste time automating things that don’t matter.
The smart approach? Start with a KPI-first mindset. What outcome are you trying to drive—faster time to market, fewer defects, reduced toil? Then ask: What’s the smallest, most impactful automation we can implement to move that needle?
Also: be skeptical of promises to replace developers with AI. Generative tools are improving, but they’re still prone to confidently delivering wrong answers—especially in niche domains like telecom, where correctness is non-negotiable.
In our experience, letting AI write production code leads to harder-to-find bugs, longer cycle times, and architectures that are prone to breaking on their own. You don’t save time if you’re just debugging hallucinated logic.
Instead, use AI where it shines:
- Summarizing long documents
- Generating draft test cases
- Providing natural language search over complex developer portals
- Documenting code (not writing it)
The goal isn’t to replace developers, but rather to empower them.
Getting Hyperautomation Right
Hyperautomation, done right, is one of the most powerful levers for improving speed, quality, and developer experience in telecom. But to truly reap the benefits of hyperautomation requires thoughtful prioritization and a healthy dose of skepticism about overpromised AI.
Focus on the biggest bottlenecks in your value chain. Automate where it matters most. Use AI to accelerate, not replace. And remember: fast, reliable delivery isn’t just a tooling problem. It’s a systems thinking problem.
Telecoms that master this balance will outpace the rest. Those that don’t? They’ll be stuck waiting for someone to approve their infrastructure ticket.
