MCP-based retrieval
Agents and consultants access institutional knowledge through natural language queries, not manual search. Joule, Claude, GPT, and any MCP-aware AI client can query Memoria inline during real work.
Product
DEBCOR Memoria
MCP-based institutional memory for SAP landscapes. Patent pending.
Overview
SAP environments are knowledge graveyards. Twenty-year-old configuration decisions, post-go-live fixes, and hard-won lessons — most of it lives in tickets, spreadsheets, and the heads of consultants who've moved on.
DEBCOR Memoria pulls that knowledge back into the system. Built on Model Context Protocol (MCP) and pgvector semantic search, Memoria captures project context, configuration decisions, and operational history — then surfaces the right knowledge to the right person at the right moment.
Every consultant who joins an engagement inherits the team's full knowledge — not just what's in the ticket queue. Every engagement makes the system smarter. The value compounds over time.
Features
Built around the work.
pgvector semantic search
Sub-second similarity search across years of operational history. Find "how did we handle intercompany reconciliation in 2019?" without knowing the exact ticket number.
Cross-engagement learning
Knowledge from every project enriches future ones. Patterns recognized across multiple clients accelerate diagnosis on the next engagement.
Privacy by default
Runs inside your tenancy — SAP records never leave your environment. RBAC and audit trails are first-class.
The Challenge
Institutional knowledge walks out the door every time a senior leaves.
SAP programs are decade-spanning investments. The senior consultants who configured FICO in 2014, refactored your pricing in 2019, and rescued your hypercare in 2022 carry a body of knowledge that no wiki captures. When they roll off, that knowledge goes with them — and the next team relearns lessons your company has already paid to learn.
Memoria fixes that. Institutional memory is captured as it's created, indexed against the SAP estate, and made retrievable through MCP — by humans, by Joule, by any AI client. The knowledge becomes a compounding asset instead of a leakage point.
How it works
From inbound to resolved.
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Step 1 — Capture
Memoria captures structured memory at every consultant interaction: tickets, decisions, change records, post-go-live patches, and architecture choices. No manual documentation effort required — capture is woven into the existing workflow.
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Step 2 — Index
Every memory is embedded with pgvector and indexed against the SAP objects, processes, and business contexts it touches. Semantic search lets you find "how did we handle Chevron's intercompany reconciliation in 2019?" without knowing the exact ticket number.
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Step 3 — Retrieve via MCP
Memoria exposes its knowledge over Model Context Protocol — so Joule, Claude, GPT, or any MCP-aware AI client can query institutional memory inline during real work. Your AI has your team's history at its fingertips.
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Step 4 — Compound
Patterns surface across engagements. Recurring issues get faster fixes. New consultants reach productive output in weeks, not months. The longer Memoria runs, the more valuable it becomes.
Frequently asked questions
Model Context Protocol — an open standard that lets AI clients (Claude, Joule, GPT) query external knowledge stores during a conversation. Memoria exposes the institutional memory it captures over MCP so any AI client can pull from it without bespoke integration.
Yes. Memoria can ingest from Confluence, SharePoint, ServiceNow, Jira, and most ticketing systems. The capture layer is additive — we don't ask you to replace what you have, we make it queryable in a way wikis aren't.
Memoria can run fully in your environment — on-premises, in your AWS/Azure/GCP tenant, or in deBCor's managed infrastructure with isolation guarantees. Vector data and source memories stay where you put them. RBAC and audit trails are first-class.
Yes. Two of deBCor's three patents pending in enterprise AI cover the Memoria architecture: IntelliBridge MCP (DEBCOR-2026-004) and Compounding Organizational Memory (DEBCOR-2026-002).
Notable clients
Where we work
Industries we serve
Client experience
“DEBCOR's white-glove approach to consulting isn't just a tagline — it's the reality of their service. They've been our trusted partner for many years because of the integrity of their approach. At our request, they cleaned up our technical debt and prepared us for S/4HANA. The migration only took four months — we were down for maybe a weekend, then back to business with no loss in revenue.”
Client results
“DEBCOR's white-glove approach to consulting isn't just a tagline — it's the reality of their service. They've been our trusted partner for many years because of the integrity of their approach. At our request, they cleaned up our technical debt and prepared us for S/4HANA. The migration only took four months — we were down for maybe a weekend, then back to business with no loss in revenue.”
DEBCOR AI
AI-powered consulting for SAP Public Cloud, S/4HANA, BTP, and integrations.