RShift deploys agentic AI that connects to your SAP systems, Jira boards, meeting notes, and internal docs — turning trapped institutional knowledge into autonomous workflows that drive revenue.
Every procurement decision, supplier negotiation, and demand signal gets captured somewhere — SAP transactions, Jira tickets, meeting notes, Slack threads. But it stays trapped, siloed, and invisible to the people making decisions right now. RShift extracts this context and feeds it to Claude, creating AI agents that understand your supply chain as deeply as your best planners.
Years of PO history, supplier performance, inventory movements — locked in T-codes your planners can't query fast enough
>> contextEvery supply disruption, every workaround, every escalation pattern — buried in tickets no one reads twice
>> contextSupplier negotiations, demand signals, inventory decisions — made in meetings, forgotten by Monday, never reaching the floor
>> contextWhy that PO was delayed, why that supplier was blacklisted, why that SKU was discontinued — buried in a thread from 2022
>> contextAgents that monitor SAP purchase orders, detect anomalies, surface supplier risk from historical patterns, and draft POs for approval — cutting manual processing time from days to minutes.
SAP MM → Claude → ActionWe pipe your Jira, Confluence, meeting transcripts, and SOPs into Claude via MCP — so your planners can ask "why did we stop using Supplier X?" and get a real answer in seconds.
Jira + Notes → RAG → AnswersCustom AI copilots that combine ERP signals with external demand context — improving forecast accuracy, flagging stockout risk before it happens, and recommending reorder actions.
ERP + Context → Claude → DecisionsWe audit your SAP modules, internal tools, and communication channels to identify where the highest-value context lives — and where AI agents can create the most impact.
Using MCP and custom integrations, we connect Claude to your enterprise data sources — creating a rich context layer that makes AI agents as knowledgeable as your senior team.
We deploy, monitor, and iterate on AI agents in production — with human-in-the-loop controls, audit logging, and continuous optimization based on real outcomes.