Identifying over £800k of savings through automation

Automation diagram

Client:
Business energy providers

Industry:
Energy & Utilities

Technologies:
MS Power Apps, Junifer, Nexus

Ten10 Capabilities:
Intelligent Automation/RPA Discovery Phase over 10 days

The Goal

A business energy provider partnered with Ten10 to enhance their automation capabilities, transitioning from unsupported Python scripts to a sustainable and manageable automation framework that could streamline business processes and improve efficiency.

Our RPA Discovery Phase identified:

Over £800k of savings

Over 41,500 annual hours saved

Equivalent of 24.7 FTEs automated

The Project

The client faced a major operational challenge when their partnership with a third-party provider was unexpectedly terminated. This left them with unsupported automation scripts, built in a niche tool, that were critical to two key business processes—yet they lacked the in-house expertise to manage or maintain them.

Compounding the issue, limited documentation and staff turnover meant there was little understanding of what these automations were doing. As a result, key customer-facing processes had to be handled manually, creating inefficiencies and operational risks.

Beyond stabilising their existing automations, the client sought to expand their automation capabilities with a focus on supportability, scalability, and improved efficiency. Their challenges included:

  • Manual processing of customer transactions and account configurations, leading to inefficiencies and errors
  • Inconsistent application of rules and policies, increasing compliance risks and unnecessary costs
  • Data inaccuracies and discrepancies going undetected, impacting financial integrity and decision-making

By addressing these challenges, the client aimed to modernise operations, reduce manual effort, and enhance the overall customer experience.

programmers writing code on multiple devices

The Solution

Ten10 conducted a tailored ten-day discovery phase to address the client’s specific requirements. The approach included three key steps:

1. Review

  • Analysed the client’s short-, medium-, and long-term objectives.
  • Evaluated current processes to identify key requirements and success metrics.
  • Recommended an appropriate toolset and detailed “To Be” solutions for each process.
  • Provided detailed effort estimations and ensured the organisation could support the solution in-house post-development.

2. Feasibility Study

  • Assessed the effort required to automate three manual processes and migrate two Python-based processes to a scalable enterprise solution.
  • Collaborated with stakeholders to identify pain points and optimise processes.
  • Recommended solutions while ensuring transparency and stakeholder involvement throughout the process.

3. Business Case

  • Delivered a comprehensive business case outlining the feasibility of each automation initiative.
  • Presented proposed solutions and their potential return on investment, along with key financial and non-financial benefits.
  • Recommended tools capable of supporting both UI and API automation at an accessible price point.
  • Emphasised governance, documentation, and education to empower the organisation to independently manage future changes effectively.

The Results

  • Identified three manual processes suitable for automation and demonstrated how the two Python-scripted processes could be hosted on a low-code/no-code platform.
  • Recommended Microsoft Power Automate as the enterprise solution, citing its cost efficiency and seamless integration with the client’s Microsoft ecosystem.
  • Highlighted potential annual savings of over £800K through automation, with each project requiring no more than 43 days to implement.
  • Enabled the client to independently automate two of the five reviewed processes by providing clear, step-by-step walkthroughs.

By addressing these challenges and delivering scalable, maintainable solutions, the client is now equipped to streamline operations, enhance customer satisfaction, and achieve substantial cost savings.

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