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Efficiency, scalability, and adaptability are key to sustained business success. At True Worth, we help organisations assess, streamline, and optimise their operating models, delivery processes, and governance frameworks to drive continuous improvement.
We also provide specialist AI readiness assessments to help businesses determine whether they have the right processes, data structures, and systems in place to leverage AI effectively.
Optimising Operations for Scalable Growth
We offer a structured AI discovery day with John Welsh, where we assess whether your business is ready for AI adoption. We evaluate your processes, data landscape, and operational structure to determine the best path forward.
AI will change the way you work as well as what your customers expect. For help on navigating this or just knowing what to consider (including the potential pitfalls) we provide AI Educate, for all levels of your organisation.
Align your ways of working with your strategic goals. We analyse, refine, and optimise processes to reduce waste, improve efficiency, and enhance business performance.
Case Studies
High Growth SME
Background
A Cheshire-based financial services company was encountering high growth, however their technology systems and platforms were struggling to keep up. Frequent Line of Business (LoB) application outages, lack of accurate MI, and a large product backlog were all symptoms of this; affecting the business’ ability to make decisions and scale efficiently.
Solution
An initial review of processes and technology was carried out, which produced an analysis of gaps and proposed improvements alongside prioritised recommendations to alleviate the current and future challenges.
It was agreed to implement a selection of the recommendations, and working with the in-house team and third-party partners we embarked on a digital transformation that provided quick initial wins as well as setting them up for future growth. A 3-year technology roadmap was also produced helping to understand what was important to the organisation and how to efficiently deliver this.
Application stability was greatly improved (reducing service interruption by 80%), and clear MI was delivered into the business to help them understand where further work was needed, and which commercial areas presented the most opportunity. This allowed the company to undergo treble-digit growth over the next 3 years.
AI-Powered Transformation
Background
Mojo CX, a company specialising in contact centre software solutions, wanted to increase their delivery capabilities to eliminate manual processes, delays, and scalability limitations. The company wanted to improve development cycles, quality assurance, and ensure they had the ability to meet growing customer demands efficiently. To address these challenges, Mojo CX partnered with True Worth to implement AI-powered automation solutions, streamlining its development pipeline and improving overall operational effectiveness.
Solution and Benefits
True Worth proposed a modular, phased approach to transforming Mojo CX’s delivery processes, prioritising the highest-value areas first: Quality Assurance (QA) and Requirements. AI-driven automation was integrated into code review, speech-to-text capabilities during requirements gathering and refinement, and JIRA workflows. This enabled faster requirement cycles, improved testing efficiency, and reduced the rework burden. Additionally, the AI-powered tools enhanced initial requirements analysis and user story creation, reducing manual efforts and refining the development process.
The implementation resulted in substantial efficiency gains. Requirement cycles became up to 40% faster, while manual testing time was cut by 50%, allowing developers to focus on innovation rather than repetitive tasks. The automation of debugging and testing also significantly reduced production defects, improving overall software reliability. With over 30% increase in development capacity, Mojo CX was able to deliver new features at a faster pace while maintaining high quality standards.
Cost savings were another major benefit. Streamlined processes and AI assistant agents reduced operational overheads, lowering maintenance expenses and enhancing development output without requiring additional resources. By adopting a managed service model for ongoing AI performance monitoring and optimization, Mojo CX ensured long-term sustainability and adaptability to future demands. The AI-driven transformation positioned Mojo CX for scalable growth, allowing them to better serve their expanding customer base while maintaining efficiency and cost-effectiveness.