In today’s world of business, which is moving at an ever-accelerating pace, companies are striving to find new avenues to become more efficient and lower costs, all while trying to stay one step ahead of competitors. One game changer is hyperautomation, which brings together RPA with AI/machine learning and low-code/no-code tools to automate complex processes end-to-end. As stated in a report presented by Global Market Insights, the overall hyperautomation industry was worth $46.4 billion in 2024 and is anticipated to increase at a CAGR of 17.06% from 2025 to 2034.
Yet, despite it being ripe with potential, too many businesses miss the boat when it comes to outsource hyperautomation services & solutions. Without knowledge of the most common points to fail at, you won’t achieve implementing hyperautomation solutions in your organisation!
What is Hyperautomation?
Before we get to the drawbacks, let’s define what hyperautomation means. Hyperautomation is not like the typical automation of tasks, it automates endpoints and workflows entirely. It leverages tools like:
- RPA service provider solutions for automating routine operations
- RPA Custom development for custom automation solutions
- RPA low-code/no-code platforms for the fast track to bots with minimum coding
Pairing these tools with AI and analytics can drive greater accuracy, lower operational costs, and improved decision-making for companies.
The Most Common Reasons for Failed Hyperautomation Outsourcing
Although outsourcing can save you time and tap into expertise, there are a few areas where things can break down that can seriously compromise the success of your projects:
1. Absence of a Clear strategy and Goals
One of the most frequently cited reasons why hyperautomation initiatives fall short is a lack of understanding of goals. Businesses often make the mistake of diving into outsourcing without properly outlining:
- Which processes to automate first
- What success looks like
- Compatibility of automation with the broader business strategy
Without a blueprint, even the best hyperautomation solutions providers may struggle to get results. According to a study from Unisys, one in five organisations has seen an automation project fail because of poorly defined goals.
2. Poor Integration With Legacy Systems
The other key challenge is the integration of new automation tools into your existing legacy systems. Legacy infrastructure, non-interoperable software and siloed data can all make smooth integration hard.
- The RPA custom development can, in some cases, attempt to fill these gaps, but the risk is that you may end up creating more issues than solutions if not properly thought out.
- “When trying to automate a process that is already broken or poorly designed, inefficiencies are often born from attempting to automate in the first place,” BairesDev said.
This illustrates the need to first evaluate your IT environment prior to outsource hyperautomation projects.
3. Data Quality and Governance Issues
Hyperautomation is data-driven. Without clean and regular data, even the best of automated tools will produce errors. Common issues include:
- Missing or incomplete data
- Lack of proper governance policies
- Data silos across departments
In fact, according to research from Infosys BPM, low data quality is a top cause of failures in automated processes.
4. Resistance to Change
When you roll out hyperautomation, there is inevitably some amount of pushback from workers. Others may worry they’ll lose their jobs or struggle with new tools. But without effective change management, there is a risk that the technology will be underutilised even when it is highly developed.
Here’s how to address this:
- Conduct training programs for staff
- Get teams involved early in the automation process
- Create a culture of change for the better
Companies that can more quickly secure hyperautomation experts to help with change management also tend to adopt faster and get more out of the technology.
5. Unrealistic Expectations and ROI Miscalculations
Other companies believe hyperautomation will provide immediate results or a big ROI with little effort. This is rarely the case.
- Getting the right KPIs for measuring success Automation can make processes smoother and save money, but to gauge how well is trickier.
- One survey by Xenoss reports that hyperautomation projects are terminated because expected yields were overestimated (Xenoss Case Studies).
In order not to lose disappointment, you should always set realistic goals and see progress.
6. Lack of Skilled Resources
Hyperautomation is not just about technology — it demands specialised skills:
- RPA developers
- AI/ML engineers
- Data analysts
Without those specialists, projects may stall — or fail. By collaborating with professional hyperautomation consulting services or with enterprise automation partners, you can help avoid having your initiatives underqualified.
7. Vendor Management Challenges
One more layer of complexity comes with outsourcing is vendor management. Common pitfalls include:
- Vague contracts
- Lack of clear deliverables
- Inadequate performance monitoring
Companies that don’t get vendor management right tend to endure delays and subpar deliverables. Hyperautomation service provider and check-in sessions are one way to help reduce those risks.
8. Security and Compliance Risks
Hyperautomation initiatives frequently involve sensitive information, so security and compliance remain top of mind. Financial and reputational Data breach or regulatory violation can have dramatic financial and reputational impacts.
- Most important here is to verify that your hyperautomation solutions provider complies with industry standard safeguards on data security.
- Regular audits and compliance checks are also important.
How to Successfully Outsource Hyperautomation Projects
Although quite a lot can go wrong, it can mostly be avoided if you approach it right:
- Have a good plan before work begins on any project.
- Carefully consider vendors — Always try to look for – experience, expertise, and references matter in the leading industry.
- Invest in change management to facilitate smooth adoption along with higher efficiency.
- Focus on quality data through strong governance.
- Set achievable goals and trackable KPIs.
- Hire automation developers or hyperautomation consultants services to lead the strategy and implementation.
- Keep an eye on it — hyperautomation isn’t a set-and-forget thing.
Through these simple steps, companies can unleash the immense potential of hyperautomation services & solutions and stay ahead in the competition.
Real-Trade Case Studies on Outsourcing Hyperautomation
Real-world examples are by far the best way to explain problems and solutions.
Case Study 1: Successful Hyperautomation Outsourcing
The World Bank contracted a global hyperautomation services provider for RPA and AI-based process automation. They wanted to automate and streamline their loan approval process. Working with a defined roadmap, integrating its legacy systems and hiring hyperautomation experts when it came to the ongoing support the bank has:
- 40% reduction in process time
- 25% of savings in the first 6 months
- Ease of use by employees and higher satisfaction because of less repetition in tasks
Case Study 2: Outsourcing Failure
A medium-sized manufacturing organisation outsourced hyperautomation services without establishing specific goals or examining information quality. They faced:
- Delays due to incompatible legacy systems
- Employee’s resistance to change and adoption was slow
- Inaccurate results from poor data governance
This case illustrates the critical nature of planning, vendor selection and employee buy-in. Organisations can use such examples to help them better manoeuvre through hyperautomation service & solutions outsourcing projects.
Future Trends in Hyperautomation and Outsourcing
Hyperautomation is evolving fast and knowing what the trends will be for the year ahead can give businesses a jumpstart:
- AI-Based Decisions – Automation will be powered by AI models that can perform better not just tasks but also make decisions on the spot.
- Hyperautomation-as-a-Service – Outsourcing as a model will evolve into more subscription-based services, making it easier for organisations to leverage on-demand, scalable automation.
- More on Low-Code/No-Code Platforms -This allows business users to create automation workflows with less dependence on developers, which leads to faster and more flexible results.
- More Secure and Compliant – As data privacy laws continue to evolve, providers of hyperautomation will be forced to offer more secure, compliant solutions.
- IoT and Edge Computing – As we move toward the future, Hyperautomation will become more and more interconnected with IoT devices to automate real-time operations in manufacturing, logistics and even healthcare.
By gaining insights into these trends, organisations are able to plan more effectively, select the right hyperautomation solutions company provider, and avoid becoming lost in an ever-changing digital world.
Conclusion
Hyperautomation outsourcing can be a potent tactic, but it comes with its share of risks. From vague goals and integration problems to an unwillingness to embrace change and security fears, many organisations find themselves tripping up along the way.
Success does depend on planning, the right partnerships and continued management. And with the right hyperautomation services & solutions provider, and hyperautomation consulting services at your aid, you can boost efficiency, reduce costs and stimulate innovation.
So if you’re ready to reimagine your company, think about hiring a trusted hyperautomation solutions provider or enterprise automation partner that can help steer the good ship transformation through choppy waters and guarantee meaningful results.
