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 /
Institutional knowledge that stays when people leave.
Capture, structure and make accessible the expertise that lives in your people's heads — before it walks out the door.
The problem
Critical knowledge leaves with every senior departure
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Critical knowledge leaves with senior people
When experienced employees leave, retire or change roles, they take years of undocumented knowledge with them. It's never fully recovered.
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Expertise that can't be found at the moment it's needed
Even when knowledge exists, it's scattered across emails, slide decks and personal files. It's not accessible when someone actually needs it.
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Onboarding that recreates the same learning curve every time
New hires spend months discovering things that existing employees already know. The same lessons are relearned over and over.
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Documentation nobody maintains
Captured knowledge rots as processes change. Search surfaces outdated guidance and new hires learn the wrong way of working.
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。
Institutional knowledge that stays when people leave.
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.
Expert knowledge capture
Structured elicitation of expertise from senior employees through guided AI-assisted sessions.
Knowledge structuring and tagging
Organises captured knowledge into a searchable, governed repository.
Contextual retrieval
Employees find the right knowledge at the moment they need it, not through manual search.
Knowledge gap mapping
Identifies which domains have adequate documentation and which are at risk.
Succession intelligence
Flags knowledge concentration risk when critical expertise sits with one or two individuals.
Continuous capture
Integrates with daily workflows to capture and update knowledge as it's created, not just at offboarding.
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Results
What changes when this runs in production
Results vary by organisation size, knowledge domain complexity and documentation maturity.
–75%
Reduction in time to find documented expertise vs. manual search
Orientative — confirmed in discovery; depends on the starting point.
–30%
Faster ramp with structured knowledge access from day one
Orientative — confirmed in discovery; depends on the starting point.
Fully mapped
From unknown exposure to quantified and monitored knowledge risk.
Orientative — confirmed in discovery; depends on the starting point.
How we work
From expert bottlenecks to captured playbooks new hires can follow
Expert interviews
Expert interviews
Week 1–2
Critical roles and retirement/rotation risks are prioritised; SMEs agree time and format.
Structure & verify
Structure & verify
Week 3–5
Tacit steps become checklists, videos, and Q&A with peer validation—not raw transcripts.
Pilot teams
Pilot teams
Week 6–9
New joiners and backfills consume the corpus; gaps are filled from real questions.
Sustain & refresh
Sustain & refresh
Week 10+
Ownership, review cadence, and triggers when processes change keep knowledge current.
SME availability and tacit-work ratio drive scheduling; we stagger by critical function.
Go deeper
Knowledge continuity and GenAI in the enterprise
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.