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Home Uncategorized Explanation and benefits of Robotic Process Automation (RPA), Artificial Intelligence (AI) and Machine Learning (ML)
Explanation and benefits of Robotic Process Automation (RPA), Artificial Intelligence (AI) and Machine Learning (ML)
BusinessProcess automation

Explanation and benefits of Robotic Process Automation (RPA), Artificial Intelligence (AI) and Machine Learning (ML)

April 14, 2020

In this video, ECLEVA’s CEO Patrick Northcott explains what Robotic Process Automation (RPA), Artificial Intelligence (AI) and Machine Learning (ML) is and how, when combined, can deliver significant ROI to your business. 

Robotic Process Automation

RPA is when software bots are configured to mimic high-volume repeatable tasks that your staff perform.  

Bots can perform tasks in seconds and with accuracy close to 100% earning them the title of a true digital co-worker.     

Artificial Intelligence

Artificial Intelligence (AI) is computer automation trying to act and respond like a human. AI uses complex models that need to be trained using huge data sets.

Machine Learning

Machine Learning is the training of the AI model.

Software Vendors are releasing new cognitive services like facial, document and speech recognition which are pre-built AI models that have already been trained with machine learning, these can be used by any organisation easily.

Infusing these cognitive services into your RPA tasks can accelerate decision-making, improve customer experience and yield you significant ROI.

Talk to a certified technology consultant to help select your RPA and AI tools to free up your team to do higher order thinking while the digital co-worker takes care of the mundane tasks.

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Slide
In-Workshop
Stage 1: Discover Your Business Challenges

We begin with a short, practical introduction to AI — focused on real business value, not hype — then shift quickly into understanding your organisation.

 

Together, we explore where work feels:

• Slow, manual, or repetitive
• Difficult to scale
• Dependent on workarounds or spreadsheets

• Fragmented across systems or teams

 

This stage uncovers the real operational and process challenges behind day-to-day friction, forming the foundation for meaningful AI opportunities.

Slide
In-Workshop
Stage 2: Prioritise What Matters Most

Not all problems are equal. In this stage, your team collaboratively prioritises the challenges identified, ranking them based on business impact, urgency, and strategic importance.

 

This ensures the workshop stays focused on what truly matters — not theoretical use cases — and that every opportunity we identify is anchored to real, agreed business priorities.

Slide
Post-Workshop
Stage 3: Map AI & Automation Opportunities

Following the session, ECLEVA translates your prioritised challenges into practical AI and automation opportunities that align to your current Microsoft environment, such as:

• Microsoft 365 & Copilot
• Dynamics 365 & Business Central
• Power Platform (Power Apps, Power Automate, Power BI)

 

Each opportunity is assessed using a Value × Ease framework, clearly highlighting:

• Quick wins
• High-impact initiatives
• Opportunities requiring more planning or investment

 

We then present these findings back to your team, walking you through the prioritisation, recommended sequencing, and logical next steps. You’ll receive a clear, visual prioritisation that makes decision-making easy.

Slide
Post-Workshop + Optional Next Phase
Stage 4: Feasibility, Readiness & Next Steps

We complete a high-level feasibility and readiness check, covering:

• Data availability and quality

• System and integration readiness

• Security, governance, and compliance considerations

• Risks, blockers, and any preparation required

 

The outcome is a clear, actionable roadmap outlining recommended next steps, sequencing, and indicative effort.

 

If you choose to proceed, ECLEVA can support you through:

• Detailed solution design

• Proofs of concept or pilots
• Implementation and change enablement

 

Always at your pace, aligned to your goals.

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