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。
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Training that adapts to each person. Not to the average.
AI-powered learning that personalises content, tracks skill gaps and keeps your workforce ahead of what the business needs — without the overhead of traditional L&D programmes.
The problem
One-size-fits-all training that doesn't stick
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One-size-fits-all training that doesn't stick
Generic programmes cover what the average employee needs. They miss what each individual actually requires to perform better.
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Skill gaps identified too late
By the time a capability shortage shows up in performance data, the business has already felt the impact for months.
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L&D investment without visibility on return
Training programmes consume budget and time. Without data connecting learning activity to performance outcomes, ROI is assumed, not measured.
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Training disconnected from performance
Courses get completed but on-the-job application is not measured. Skill gaps persist despite L&D spend.
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。
Training that adapts to each person. Not to the average.
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.
Personalised learning paths
Adapts content, pace and format to each employee's role, skill level and learning style.
Skill gap detection
Maps current capabilities against role requirements and future business needs.
AI-powered content creation
Generates training materials, assessments and practice scenarios from your internal knowledge.
Learning analytics
Tracks completion, engagement and knowledge retention at individual and team level.
Performance correlation
Connects learning activity to on-the-job performance metrics to measure actual impact.
Continuous skill monitoring
Tracks capability evolution over time, not just at annual review cycles.
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Results
What changes when this runs in production
Results vary by workforce size, skill domain and existing L&D infrastructure.
+40%
Improvement with personalised vs. generic training programmes
Orientative — confirmed in discovery; depends on the starting point.
–30%
Faster skill development with adaptive learning paths
Orientative — confirmed in discovery; depends on the starting point.
–60%
Reduction using AI-assisted content creation
Orientative — confirmed in discovery; depends on the starting point.
How we work
From static courses to adaptive paths tied to skills data
Skills frame
Skills frame
Week 1–2
Competency models, LMS catalogues, and business priorities define what “good” looks like.
Content & assess
Content & assess
Week 3–5
Micro-learning, scenarios, and checks are aligned to roles; accessibility and languages are set.
Cohort pilot
Cohort pilot
Week 6–9
Completion, application on the job, and manager feedback shape the next iteration.
Scale programmes
Scale programmes
Week 10+
Curricula expand by function; analytics tie learning signals to performance conversations.
Union training requirements and vendor content licences affect integration; we phase by audience.
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.