The same engine — ranked decisions, executed with guardrails — tuned to each CXO's world. Three scenarios show how Epsilon shifts decisions left.
Clinical trial site performance — shift decisions left before patient dropout compounds. Ranked on site velocity, patient retention and enrollment lag.
A CCRO running 40 trial sites across 12 countries gets a monthly site-performance report. By the time Site 17 in Poland shows an enrollment lag, the protocol-amendment window has passed, dropout has compounded, and the timeline has slipped six weeks. Epsilon connects to the CTMS and ODS, ranks sites daily by enrollment-velocity deviation, dropout and protocol-deviation frequency — enriched with coordinator responsiveness and external benchmarks.
Outcome: reduction in trial duration
Real-time decisioning across working-capital and transactional finance — agents handle the transaction, humans own the judgment.
Outcome: DSO reduction
IT landscape rationalization — reimagined service delivery and an AI-native operating model, not a collection of AI tools bolted onto legacy processes.
Surface the applications, vendors and overlaps that matter most — ranked by cost, risk and redundancy across the estate.
Approved consolidation and remediation steps run via agents or HITL, with every action traceable.
An evolved operating model that compounds efficiency, rather than adding to SaaS sprawl and tech debt.
Outcome: YoY efficiencies and time-to-market