What is Intelligent Automation or Intelligence Infused Automation?
Intelligent Automation (IA) = RPA + AI
In simple terms,
Intelligent Automation spans the entire automation journey –
Discovery,
Automation and
Optimization
Digital Dialogues Season 3
Presented by StrategINK & Sponsored by Automation Anywhere
EPISODE 1 SUMMARY
EPISODE 2 - Powering Automation with Cloud
Date: 11 November 2020
Time: 11:30 AM onwards
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How Does IA Work?
The outputs are a self-adjusting, end-to-end automation of any ‘fungible’ business process, that helps to reduce exceptions and bot management over time.
What are the benefits of Intelligent Automation?








What are some of the typical Industry Use Cases of Intelligent Automation?
Business Process Outsourcing (BPO) sector is using IA for delivering economies of scale to their customers.
Financial Services companies are using automation for stock trading, payment processing and back-office reconciliation functions.
Healthcare providers are using IA for patient record management, billing, surgical processes, improving post-op recovery outcomes and so on.
The Insurance sector is using automation for speedier claims processing, remittances, and statutory reporting.
The Life Sciences industry is deploying automation solutions for accelerating research on life-saving drugs and improving the functioning of medical devices and equipment.
The Manufacturing sector is employing automation tools to help human workers in inventory management, order reconciliation, transportation, invoicing, and numerous administrative tasks.
The Telecommunications industry is using IA for delivering remote/automated service, installation of software patches and updates, and predictive maintenance of equipment.
Governments are using automation for speeding up processing of permits, licences, benefits applications and producing reports.

Call to Action! – Adopting Best Practices for Adoption of RPA
Six suggested best practices that can be adopted while implementing RPA solutions are listed below for IT and business leaders –
1) Plan Broadly – Not only have a clear set of IT/digital transformation objectives that your organization wants to achieve out of automation, develop a strategic plan for change management. Consider all the important details of the current situation and appoint change champions to deliver successful outcomes.
2) Select the Process/Processes to be Automated Smartly – Select those business processes that are best suited to automation by identifying:
- Predictable and well-documented activities with defined operational costs
- Processes with low exception rates, not needing complex human intervention
- Activities where the benefits/savings can be easily quantified in terms of cost savings, better accuracy, faster response time etc.
- High volume/high frequency processes.
3) Lay Stress on Collaboration – Be careful not to leave the robotics implementation on the IT team members/developers alone. For successful implementation, organizations must include end-users who are proficient in the actual processes undergoing automation.
4) Provide Sufficient Training – Explain to your employees what your automation project is to be used for, how software bots will be designed to assist in their day-to-day responsibilities and increase the value of their output. It works well to first ‘train the trainers’ and then let them spread the message to the rest of the staff, including what automation can deliver and what it cannot.
5) Establish a Core Team – A senior executive with a ‘bird’s eye view’ of all the business functions and processes should be appointed to head a Core Automation Team to decide ‘what to automate, when, for what outcomes’. The core team should include external consultants, especially in the case of large, company-wide projects, to bring in objectivity into the planning and implementation cycle and evaluation of results.
6) Do create a Test Plan and a ‘Plan B’ – Develop the proposed automation solution and test under different environments (for example, remote location users), before seeking approval for full-scale deployment. A fall-back path to success in the form of a ‘Plan B’ should also be prepared in case new insights/feedback require a rework of the RPA solution.
Recommended Readings:
- “AI Superpowers: China, Silicon Valley and the New World Order” by Kai-Fu Lee
- “Coders: Who They Are, What They Think and How They Are Changing Our World” by Clive Thompson
- “Own the A.I. Revolution: Unlock Your Artificial Intelligence Strategy to Disrupt Your Competition” by Neil Sahota and Michael Ashley