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Companies are strongly focusing on the day-to-day business benefits of IA for processes and workflows. But, before deploying automation, they should focus on developing strong strategies to help them align the processes and tools.
Automation is critical for any digital transformation roadmap. So, a plan that helps deploy an IA platform supports the enterprise’s transformation. They need to build a smart roadmap and robust strategies for this deployment.
But first, what does an intelligent automation platform do for business?
Why Businesses Need Intelligent Automation (IA)?
The need for digital transformation has enabled automation of the business process. Some of the reasons for its adoption are:
- Expansion of business in a digital-first environment
- Adoption of technology to match the development pace of the industry
- Improve customer service and experiences
Intelligent automation (IA) has also helped businesses align processes, optimize operation costs, and scale efficiently. In short, IA has disrupted how businesses run. Its adoption is a business imperative for all brands to stay competitive.
Why is IA so critical for businesses?
- It improves productivity: The workflows of IA are faster, more accurate, and more reliable. Its accuracy and efficiency depend on accurate data. So, enterprises need relevant data, which is the core component of automation. In most cases, it’s a circular process- IA provides data that fuels its processes.
- Easy to Deploy: The user-friendly interfaces, platforms, and software make automation easy to use. Also, the deployment of software is easy as compared to other deployments.
- Reduces operational costs: As IA automates workflows, it automatically reduces operational costs. It eliminates manual processes and does multi-tasking, thus saving time.
- Accuracy and compliance: IA systems ensure the accuracy of business tasks and operations. Furthermore, its accuracy meets compliance standards.
So, these are some factors companies should consider for deploying IA into their processes. However, to proceed with this, business leaders should have plans and strategies to decide how automation will work.
Strategies for Intelligent Automation Deployment
1. Set clear goals and objectives:
Companies should analyze their processes and identify potential areas where automation will benefit the most. Most importantly, they should make sure it will integrate with the existing processes. In addition, companies should also determine:
- Business impact by implementing intelligent automation (IA)
- If the tools are suitable to achieve the outcomes
- If the RoI is satisfactory
2. Establish an Automation Center of Excellence (CoE)
It is a library of business units that coordinates all automation initiatives within a company. Including this in strategy building for IA will be helpful for enterprise-wide efforts by:
- It will standardize intelligent automation practices across the business
- It will reduce the gaps between implementing the automation technologies and business decision-making with data.
- It will help with tracking performance and identify improvement opportunities
- It will coordinate all automation functions across different departments in an organization
3. Use process intelligence
It’s important to use process intelligence before implementing automation to a specific process. This will help leaders ensure that they are automating the right processes and that optimization is done properly.
Process intelligence is technology businesses can use to test existing workflows and processes. It includes data processing, optimization, and alignment, which are useful for automating the required workflows. It includes tools like:
- Digital twin
- Process mining and Process modeling
- Task mining
4. Determine the right tools
Determining tools for automation is necessary. This is usually one of the challenges for a successful deployment. However, by testing processes, leaders can determine the right tools to deploy to initiate intelligent automation.
So, for this, business can look up for these aspects:
- Cognitive abilities
- Low/no code bot creation capability
- Process mining capabilities
- Self-learning bots
- Integration with other enterprise software
Companies will need better vendor collaboration strategies within an intelligent automation strategy to meet these attributes.
5. Employee engagement is necessary
This step is very important to build a strong, intelligent automation strategy. It encourages employee engagement by skilling them with the latest automation technologies and tool usage.
Employee engagement will help companies deploy IA faster and more accurately as they are more aware of how workflows and processes need to align. To boost this, companies should conduct workshops and events that will give exposure to employees to learn and adopt automation mechanisms.
Intelligent Automation Tools and Software to Use
Companies can find several IA software and tools from the marketplace. However, the most preferable enterprise-level tools are available, such as:
1. Robotic Process Automation (RPA) tools
Intelligent automation integrates RPA with AI capabilities. Its job is to:
- Automate complex tasks
- Structure the data within unstructured data
- Drive data-based decisions
- Build bots
2. IPaaS
An integration platform-as-a-service includes tools like adaptors, APIs, connectors, and servers used to create automation infrastructure.
3. Conversational AI
It is used to build chatbots for apps, websites, and other business platforms and gain data to automate tasks and customer interactions.
It also helps access data for developing personalized services and products for clients and end users.
4.Optical character recognition (OCR) tools
These tools are embedded within systems to read texts from images. They accurately identify texts and scan documents to conduct different tasks.
Also Read: Intelligent Automation- Transforming Business Process
Conclusion
Automation is a cornerstone for driving digital business at its best. Companies should invest after considering the required benefits and costs of automation and technologies to implement it successfully.
However, putting a strong strategy in place to build an automated workflow is extremely important. This will help to proceed in a systematic way to implement IA.
In the long run, companies need careful planning for budgeting, investments, employee skills, and business readiness for a successful IA implementation.
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