Business Knowledge Graph & Context Intelligence
Decode your business primitives — docs, code, contracts, conversations — into a living context graph with NLP and voice-driven semantic queries.
"Your CRM, ERP, codebase, contracts, and Slack threads hold the answers — but no one can ask them as one question. Vouchstone builds the context graph that makes your entire business queryable, voice-ready, and grounded in operational reality."
What you are actually dealing with
- Truth about a single customer, product, or decision scattered across 8+ systems and file types
- Executives ask plain-English questions; analysts spend days reassembling data from siloed tools
- PDFs, contracts, and legacy code hold critical business logic no one has mapped
- Off-the-shelf chatbots hallucinate — they read documents, not your operational reality
- No semantic layer connects your metrics, entities, and business relationships into one queryable model
- Existing data warehouses capture rows and columns, not business context — contracts, obligations, decisions, lineage
How we ship it
- Context graph that maps business primitives: customers, contracts, products, metrics, decisions, code modules, and their relationships
- Multi-modal ingestion: structured data, PDFs, contracts, codebases, Slack/Teams threads, call transcripts — all decoded into graph entities
- NLP and voice-driven semantic queries: ask questions in plain English or speak them — grounded answers with citations and reasoning paths
- Governed semantic layer: metrics defined once, consumed everywhere — BI tools, AI agents, embedded apps, all from one truth
- Hybrid retrieval engine: graph reasoning + vector similarity + structured SQL — picks the right strategy per question
- Every answer is traceable: shows the nodes, edges, source rows, documents, and the reasoning path
- Drift detection: alerts when underlying systems diverge from the graph — stale entities, changed schemas, broken lineage
What we owe you when we miss
Most SI contracts only penalise you for falling behind on payment. Our Reverse SLA flips that - when we miss a named milestone, parity threshold, or budget band, we owe you in credits or refund.
Coverage
Named entities + relationships in scope; missing scope refunds proportionally
Groundedness
Every answer cites source rows / documents; ungrounded answers blocked by construction
Freshness
Named refresh SLA per source system; missed refresh credits
Semantic Consistency
Same question, same number across every consumption channel — verified by parity tests
Context Graph + Semantic Query Console
A bounded-context knowledge graph with documented schema, change-data-capture from all sources, governed semantic layer with metric definitions, NLP/voice query console, drift dashboard, and lineage maps from source systems to graph entities to consuming dashboards and agents.
Big SI playbook vs. Vouchstone
12-month "AI strategy" deck; then a chatbot bolted onto a PDF library. Semantic layer project runs separately, never connects to the knowledge graph.
8–16 weeks to working context graph with semantic layer, hybrid retrieval, voice-ready NLP queries, and grounded Q&A — all one system.
Domains your audit + compliance teams care about
Every action signed to the ledger; every signed action chained into a regulator-ready evidence pack matched to the framework controls below. One-click export, OCSF-formatted for your SIEM.
Ready to start?
Five-minute intake. Sixty-second response with a named lead, a draft scope, and a price band. No sales call needed before you see what we propose.
Other flagship engagements
Complex Data & Legacy Migrations
COBOL, ASP.NET, Oracle, mainframes, warehouses — migrated to modern cloud platforms with row-level parity proofs and zero-downtime cutover.
Cloud Cost Optimization & FinOps
AI agents that continuously right-size, reserve, and govern your cloud spend — AWS, Azure, GCP — with executive-ready unit economics powered by a cost context graph.
Multi-Agentic Ethics, Governance & Security
Coordinated AI agent teams that continuously audit, detect, and enforce security and compliance across your entire stack — ABAC policies, RACI accountability, vendor risk, and regulatory evidence, all governed by a context graph.