Zum Hauptinhalt springen
Kontakt

/ Wissen & Governance /

Ihre Organisation weiß mehr, als sie finden kann.

Verbinden Sie Ihre Dokumente, Systeme und Fachkenntnisse in einer verwalteten Wissensschicht, die jeder in Ihrem Unternehmen abfragen und der jeder vertrauen kann.

Book a demo Zum Problem

The problem

When knowledge trapped in files nobody can find becomes the norm

  • Knowledge trapped in files nobody can find

    Years of documents, decks and emails contain critical institutional knowledge. None of it is searchable or accessible at the moment it's needed.

  • Every team rebuilds the same information

    Without a shared knowledge layer, teams duplicate research, produce conflicting answers and make decisions on outdated information.

  • Ungoverned AI retrieval creates risk

    Off-the-shelf AI tools connected to company data with no access controls, no audit trail and no accuracy layer are a compliance liability.

So funktioniert es

Find, understand, and act on institutional knowledge—with permissions intact

Schritt 1

Index with entitlements

SharePoint, Confluence, tickets, and files are ingested with the same access rules as source systems.

Schritt 2

Answer with citations

Responses quote approved passages; conflicting versions surface for knowledge owners to reconcile.

Schritt 3

Close the loop

Gaps and stale pages feed content backlogs so the corpus improves—not rots—in production.

Hybrid search blends lexical and semantic retrieval for your messy real-world corpus.

Ihre Organisation weiß mehr, als sie finden kann.

Leistungsumfang

What you get when you run this with Thinkia

A governed layer across data, workflows, and handoffs—so teams ship safely and scale with metrics.

Multi-source ingestion

connects to SharePoint, Confluence, Google Drive, Notion, internal databases and custom repositories

Access-controlled retrieval

users only surface information they are authorised to see — enforced at query time, not at ingestion

Source-grounded answers

every AI response is linked to its source document, with confidence indicators

Knowledge gap detection

identifies queries that return low-confidence answers, surfacing where documentation needs updating

Audit and compliance layer

full log of who queried what, when, and what the system returned

EU AI Act alignment

human oversight, explainability and data governance built into the architecture

Unterstützt von Thinkia Synapse

Ergebnisse

What changes when this runs in production

–65%

Reduction in average time spent searching for answers across systems

–40%

Reduction in teams rebuilding information that already exists

90%+

Source-grounded responses vs. hallucinated answers from ungoverned tools

Results vary by knowledge base size, document quality and access control complexity.

So arbeiten wir

From search boxes to answers grounded in how your company works

Corpus audit

Week 1–2

Repositories, permissions, and stale content policies are mapped before anything is indexed.

RAG & safety

Week 3–5

Retrieval, citations, and PII handling are tuned; red teams probe leakage and drift.

Function pilot

Week 6–9

Support, sales, or engineering uses the assistant; deflection and time saved are measured.

Enterprise scale

Week 10+

More sources, languages, and apps (Slack, Teams, ServiceNow) with central admin and analytics.

Permission models and content sprawl dominate effort; expansion follows trust in citations.

Loslegen

Ready to scope this for your context?

We start with a focused session—no commitment—to map constraints and a sensible path.

Book a demo Explore AI Solutions