DEBCOR AI Packages · Institutional Memory
Company Knowledge Layer
Your organization's tribal knowledge — SOPs, wikis, Slack, tickets, meeting recordings, contracts, emails — is captured, structured, and queryable by employees and AI agents.
Onboarding takes months because knowledge lives in senior heads. SME departures become crises. New hires ask the same questions three levels deep. DEBCOR's Institutional Memory package captures what your company knows across every source, structures it into a governed knowledge layer, and gives your team a chat interface that answers with sources. It's also the grounding layer that makes downstream AI agents accurate.
What's in the box
The deliverables.
Connectors: Google Drive, Notion, Confluence, SharePoint, Slack, Zendesk, Gmail, Zoom, Loom
Vector store on Supabase pgvector (or Pinecone / Weaviate)
Ingestion, chunking, and re-embedding pipeline (Python)
Retrieval-augmented Q&A agent — Claude primary, model-routed for cost
Employee-facing chat: web, Slack, and Teams
Access-control layer honoring your existing IdP
Full question and answer audit log
Who buys this
Buyer profile.
CHRO
Trigger
Onboarding is too slow, retention risk on SME roles
CIO
Trigger
Knowledge silos across teams, wiki rot
CEO of a scaling firm
Trigger
The founder / SVP is the bottleneck for institutional knowledge
PE operating partner
Trigger
Portfolio-wide onboarding acceleration play
Delivery
How we deliver.
30 days to first employees on the system. Continuous expansion of sources.
01
Weeks 1–2 · Source discovery
Inventory knowledge sources, map access, agree governance.
02
Weeks 3–4 · Ingest and index
Deploy connectors, populate vector store, tune retrieval.
03
Weeks 5–6 · Rollout
Launch chat interfaces, train users, measure adoption and accuracy.
Commercial model
Fixed setup fee (30 days) + monthly per-seat runtime.
Optional · Bridge to SAP-native
The same knowledge layer powers our DEBCOR Memoria product for SAP — grounding Joule Studio 2.0 agents in your specific landscape. Sources you index today carry forward when you extend into SAP-native workflows. See the SAP AI practice.
Other packages
Also worth a look.
Trust Your Data
Data Foundation for AI
Master data your AI can actually reason over — deduped, matched, enriched, and continuously monitored.
Kill Manual Data Entry
Intelligent Document & Transaction Ingestion
Every inbound document — invoice, order, claim, contract — turns into a validated record in your system of record, with exceptions routed to humans instead of silently swallowed.
AI That Runs a Process
Custom AI Agent Development
A single bounded, governed AI agent that owns a specific business process end-to-end — humans on escalation, not on every step.
Scope this package
Talk to a senior AI architect. We'll tell you if this is the right package for your situation — or which one to start with instead.
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