Systems | Development | Analytics | API | Testing

As consumer expectations rise, loyalty is becoming a top priority. In fact 67% of brands plan to significantly increase investment in strengthening consumer loyalty over the next year, according to a recent report by Apadmi, Europe’s leading digital product consultancy and longstanding Bitrise customer.

Most organizations are swimming in data, but still struggle to turn it into clear decisions. AI-powered analytics bridges that gap by automating routine analysis, surfacing hidden insights, and making data accessible to everyone through natural language. Instead of just looking at what happened, teams can understand why it happened and what to do next. The result is faster, smarter decision-making and a stronger competitive edge. Provide your users with the latest AI-powered analytics features.

Retrieval-Augmented Generation (RAG) lets LLMs deliver current, context-rich answers by fetching live data—customer records, knowledge articles, metrics—from SQL Server, MySQL, and PostgreSQL. Reports suggest RAG can boost answer accuracy dramatically (in some cases up to 90%), making it compelling for BI, support, and operations. The challenge: enabling on-the-fly retrieval without opening security, compliance, or scalability risks. Executive takeaway: Don’t let LLMs write SQL.

Financial institutions face growing operational demands in an environment defined by regulatory complexity, legacy system inertia, and the rapid evolution of customer expectations. At the same time, IT leaders are under pressure to not only maintain infrastructure but also demonstrate value to their operations counterparts. The opportunity is clear: use technology to drive operational agility without disrupting existing systems. This is where Appian excels.