连接与治理
接通你的系统、政策与知识，让 AI 在你的规则之内工作，而不是绕过它们。
/ Knowledge & Governance /
Your organisation knows more than it can find.
Connect your documents, systems and expertise into a governed knowledge layer that anyone in your organisation can query — and trust.
The problem
Knowledge trapped in files nobody can find
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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.
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Every team rebuilds the same information
Without a shared knowledge layer, teams duplicate research, produce conflicting answers and make decisions on outdated information.
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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.
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Answers without accountability
Ungoverned retrieval surfaces confident but wrong answers. There is no trace to sources and no path to correct what people rely on.
How it works
从信号到成果——治理内置
自动化与辅助
让工作流上线：分流、起草、解决或升级，全程带完整上下文与审计追溯。
度量与改进
跟踪运营 KPI、质量与风险——再和你的团队一起调优剧本。
流程序列会适配你的工具、渠道与风险态势。
Your organisation knows more than it can find.
What's included
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.
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Results
What changes when this runs in production
Results vary by knowledge base size, document quality and access control complexity.
–80%
time searching internal policy, at a professional sports club
Real Thinkia case, anonymised — published in our whitepaper “The company with memory”.
–70%
cross-repository search time across a 200K-PDF corpus, at a global fund platform
Real Thinkia case, anonymised — published in our whitepaper “The company with memory”.
90%+
Source-grounded responses vs. hallucinated answers from ungoverned tools
Orientative — confirmed in discovery; depends on the starting point.
How we work
From search boxes to answers grounded in how your company works
Corpus audit
Corpus audit
Week 1–2
Repositories, permissions, and stale content policies are mapped before anything is indexed.
RAG & safety
RAG & safety
Week 3–5
Retrieval, citations, and PII handling are tuned; red teams probe leakage and drift.
Function pilot
Function pilot
Week 6–9
Support, sales, or engineering uses the assistant; deflection and time saved are measured.
Enterprise scale
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.
Go deeper
Enterprise knowledge, search, and RAG
Ideas, trends, and tools to stay ahead
Get started
Ready to scope this for your context?
We start with a focused session—no commitment—to map constraints and a sensible path.