Accelerating enterprise platform development with AI engineering
Accelerating enterprise platform development with AI engineering

Accelerating enterprise platform development with AI engineering

We combined AI-assisted development with engineering expertise to help an enterprise software provider deliver faster, improve critical workflows, and continue evolving a complex SaaS platform.

Accelerating enterprise platform development with AI engineering

Ivana Roksandic Categories: Business Insights, Case Studies Date 23-Jun-2026 4 minute to read

    Our client is a software company that builds solutions for organisations in the accommodation, education, and events industries.

    Their platform helps teams manage some of their most important daily operations – from customer journeys and communication to bookings, payments, reporting, and service management.

    Over the years, the platform has grown together with their customers’ needs, supporting more markets, more integrations, and increasingly complex workflows.

    To continue scaling their product, they needed to introduce new capabilities faster, modernise parts of their technology ecosystem, and improve user experiences – without affecting the organisations already relying on their software every day.

    Building new features is rarely simple when thousands of people already depend on your software.

    The client’s platform had been evolving for years, combining established systems with newer technologies. 

    As their customers’ expectations changed, they needed to continue improving the product while making sure every update worked seamlessly across different applications, integrations, and customer environments.

    They wanted to:

    • introduce new integrations required by their customers
    • better understand how people interact with the platform
    • improve important workflows and reduce the risk of unexpected issues
    • continue modernising their technology foundation

    The challenge was balancing speed with stability. Every improvement had to respect existing business logic, protect sensitive information, and support customers across different markets.

    The collaboration included several workstreams focused on helping the client scale their product and improve the experience for their customers.

    Building integrations that support future growth

    As the platform expanded, the client needed to connect with more external systems and services that their customers rely on.

    Our team helped design and implement new integrations that could work within their existing multi-customer environment. This included creating secure authentication flows, managing sensitive information, synchronising data between systems, and building reusable components that could support similar integrations in the future.

    Instead of solving only immediate requirements, the focus was on creating a foundation that would make future development easier and more efficient.

    Helping product teams make better decisions with data

    The client wanted a clearer understanding of how different users interact with their platform.

    We helped introduce analytics capabilities across multiple applications, giving their product teams better visibility into user behaviour and opportunities for improvement.

    Since the platform manages sensitive information, privacy and control were considered from the beginning. The solution included anonymisation, permission management, and configuration options that allowed customers to stay in control of their data.

    Improving the reliability of critical user journeys

    Some areas of the platform supported time-sensitive processes where delays or unexpected issues could directly affect end users.

    Our team improved these workflows by making failures easier to identify, track, and resolve.

    By introducing better validation, monitoring, and recovery mechanisms, we helped transform processes that could previously fail silently into more transparent and manageable workflows.

    By combining AI-assisted development with strong technical expertise, we helped the client accelerate product development across a large and complex platform.

    The client was able to introduce new capabilities faster while maintaining the quality, security, and stability expected from a mature product.

    Key improvements included:

    • faster delivery of new integrations and platform capabilities
    • improved ability to work across a large, complex codebase
    • better visibility into user behaviour across different applications
    • stronger foundations for future integrations
    • improved reliability of important customer-facing workflows
    • continued product modernisation without disruption for existing users

    One complex integration was delivered in under a week by combining AI-supported development practices with experienced engineering oversight,  significantly accelerating a process that traditionally required much more engineering effort.

    The tech stack

    .NET
    C#
    Angular
    TypeScript
    SQL
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