Energy Sector Operator

A major green energy operator was losing time and money on a legacy system too critical to replace — but too complex to operate efficiently.

Utilising our TrueAGENT solution, we created a Legacy Application Automation environment that securely and scalably utilised the UI of the legacy application to execute the required processes unchanged end-to-end within a timeframe of 1 month.

No change to the existing legacy application or processes
Use of the only ‘safe’ interface, which was the user interface of the legacy application
Minimum cost and time-to-deploy solution, suitable for all environments where there is no API available
£150K annual savings, estimated from a single £85K investment — deployed in 1 month with zero change to existing systems or processes.

Educational Establishment

Customer is a well known global educational establishment, that is using innovative online solutions to teach English to children globally.

Utilising our TruEVAL solution, we helped the customer to assess the viability of a GenAI-driven solution for curriculum creation and deployment and identify the optimal AI model to execute this activity.  This was executed using an ‘LLM-as-a-Judge’ evaluation method within a 2 weeks window and at minimal cost.

‘Ground Truth’ and training data transformation and ingestion in 3 days
Execution of judgement tuning in 2 days
Multiple evaluation runs and report product in 5 days
$180,000 annual savings identified — from a 2-week evaluation at minimal cost, using TruEVAL.

Test Management Software

Customer is a supplier of a SaaS Test Management and Automation solution, which was expanded to utilise GenAI to support its functionality and offer a more intelligent environment for the end-user.

AI-on-Cloud’s services were sought out to help validate the identified use cases where GenAI could be applied, identify additional use cases that would minimise manual user activities and optimise the use and deployment of AI Models to increase response times and scalability.

Significant improvements in performance identified
2 new use cases and related product automation explored
Improvements roadmap established and prioritized
We sincerely thank AI-on-Cloud for their exceptional work in reviewing our AI-based SaaS platform, Thumba. their deep expertise in generative AI not only helped us identify opportunities to enhance our engine’s efficiency but also offered valuable foresight into future challenges and practical strategies to address them. Their insights have significantly shaped our roadmap, and we appreciate their thoughtful, forward-looking partnership.
Jermy Jose – Testhouse
Director – Enterprise Applications & Innovation
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