Elixir AI · Production Outcomes
Not projections. Not case studies from two years ago. These are the outcomes currently running in production on Elixir-built AI agents.
AI Hypercases are Elixir's production outcome records: not projections, not pilots, not proof-of-concept results. Every number below is from a system currently operating under Elixir Permanent Operations. The outcome was defined before the build began. The result is measured against that baseline every month.
37%
Reduction in healthcare claims processing time. Claim denial cycle cut from 14 days to under 9.
14wks
SAP S/4HANA go-live from kick-off. Named delivery lead. Zero production downtime. SLA committed and met.
11x
Faster invoice reconciliation in BFSI. Three-day manual cycle reduced to under six hours on Oracle NetSuite.
80%
POs processed without human intervention. SourcifAI and SupplierCollabAI inside SAP Ariba.
Hypercases are named for a reason. An AI project that reaches pilot produces a case study. An AI deployment that reaches production and stays there, improves over time, and delivers monthly outcome reports against a pre-defined baseline produces something different. Elixir calls those Hypercases. Every Hypercase below is currently operating under Elixir Agentic Operations with SLA-backed performance.
Production outcomes
Four sectors. Four production outcomes.
01/ 04
37%
Reduction in claims processing time
AI agent built inside SAP MedTech. Denial cycle cut from 14 days to under 9. Predictive claims routing model trained on client data: not a generic benchmark. Deployed and operating under Elixir Permanent Operations with monthly outcome reporting.
14 wks
S/4HANA go-live from kick-off
Named delivery lead. Zero production downtime. SLA committed at engagement start and met at go-live. AI-assisted testing and migration validation using Tricentis accelerated the UAT phase from twelve weeks to six. Ongoing AMS under Elixir Agentic Operations.
11x
Faster invoice reconciliation
Oracle NetSuite. Three-day manual reconciliation cycle reduced to under six hours with an AI agent handling matching, exception flagging, and approval routing. The human team reviews only the exceptions the agent flags: not every line item. Operating under Elixir Permanent Operations.
80%
POs without human intervention
SourcifAI and SupplierCollabAI deployed inside SAP Ariba. Standard non-catalog purchase requests processed end to end: intake, RFP, supplier scoring, bid evaluation, award, PO sync: without buyer involvement on 80% of transactions. Buyers focus on the 20% that require judgement.
What makes these hypercases
Three things that separate a hypercase from a case study.
Outcome defined pre-build
The metric was agreed before the build began
Every hypercase outcome was defined and agreed at the start of the engagement: not calculated retrospectively. The 37% claims reduction, the 14-week go-live, the 11x reconciliation speed, and the 80% PO automation rate were all target outcomes that governed architecture decisions during the build.
Production, not pilot
The system is currently operating at scale
Every hypercase below is a live production system operating under Elixir Permanent Operations. Not a proof-of-concept that demonstrated feasibility. Not a pilot with 50 transactions per day. A production system processing the enterprise's actual transaction volume, continuously.
Permanent operations
Elixir's team is still running the system
Every hypercase is under Elixir Agentic Operations with SLA-backed performance and monthly outcome reporting against the baseline. The system does not degrade after the initial implementation team exits. It improves as the agent accumulates production data.
Define the outcome. Build the agent. Operate it permanently.
Take the AI Readiness Assessment to identify which Hypercase category applies to your enterprise and what outcome is achievable on your platform and data in 90 days.
Current hypercases
Healthcare: 37% claims processing reductionManufacturing: 14-week S/4HANA go-liveBFSI: 11x invoice reconciliation speedProcurement: 80% PO automationPlatforms
SAP MedTech and S/4HANAOracle NetSuiteSAP AribaRelated
Agentic AI FrameworkAI-First ManifestoSourcifAISupplierCollabAIOperations model
Elixir Agentic OperationsSLA-backed performanceMonthly outcome reporting