AI Accelerated Delivery
Our AI offering is built on four pillars: Forward Deployed Engineering, expedited application development, coaching and upskilling and bespoke AI solution deployments. Utilised together, they let us move faster on delivery whilst leaving customer teams’, standards and codebases stronger than we found them.
Pace without compromise. AI-native tooling increases velocity, but it’s applied within the same quality and auditability standards that TDS sets across all our engagement models, not instead of them.
Adaptable by design. Our engagement model flexes to meet customer needs and our AI offering is no different, spanning direct deployment into technology or operational teams, accelerating service builds and uplifting capability and knowledge by utilising reusable, pre-validated methods and approaches.
Capability that outlasts the engagement. Whether it’s an embedded engineer building agentic solutions within our customers’ environments, or coaching a syllabus designed around client needs, we measure success as much by the position we leave our customers in as we do by the outputs we deliver.
Four Pillars of Engagement
Embedding AI Across the Delivery Lifecycle for a Prime Brokerage
TDS provides technical leadership and embedded engineering expertise to a leading capital markets organization. The team develops critical frontend interfaces and operational workflows used by investment professionals to view and manage live market positions where real-time accuracy and performance are essential. Over the past year, TDS led a comprehensive initiative to embed artificial intelligence across the software development lifecycle: spanning code review, active development, agile planning, and end-user product capabilities. Working alongside internal engineering teams, TDS established governance frameworks, custom tooling, and training programs to ensure scalable adoption.