Case Study: Serco achieves 85% time savings and 4X faster proposal writing with AutogenAI

With AutogenAI, organizations are unlocking unprecedented levels of efficiency

Serco faced slow, resource-heavy proposal writing and knowledge management processes and turned to AutogenAI to accelerate and better ground its proposal workflow. AutogenAI supplied its Language Engines — an application-layer solution that combines LLMs with linguistic engineering (LINGs), retrieval-augmented generation, fact checking and company-specific libraries — to streamline how Serco accesses, organizes and uses institutional knowledge.

AutogenAI’s integration reduced the time and effort to access and organize crucial information by 85% and enabled writers to produce winning proposals more than 4× faster (2,209 vs. 500 quality words per hour in an independent test). The vendor also delivered measurable commercial impact: average win rates rose by over 20%, with one customer reporting a 241% increase, demonstrating AutogenAI’s clear effect on proposal speed and success.

Serco