璟知科技
璟知科技
JINGMIND AI
KNOWLEDGE NETWORK
Management ConsultingA Local Strategy Consulting Firm · 50+ Consultants

Industry Research Time Cut from 1 Week to 1 Day

Building a Knowledge Asset Library for a Consulting Firm

1–2 business days
Industry Research Time
75%
Knowledge Reuse Rate
6–8 weeks
New Consultant Ramp-Up Time
Half a day to 1 day
Report First-Draft Time

背景与挑战

This domestic strategy consulting firm, founded 10 years ago, has over 50 consultants and has accumulated a wealth of industry research reports, project deliverables, client case studies, and methodology documents. Yet virtually all of this valuable intellectual capital lay dormant on individual laptops, in email attachments, and scattered cloud storage folders. Whenever a new engagement began, consultants had to restart industry research from scratch, duplicating large amounts of analysis that already existed. Newly hired consultants had almost no way to learn from the firm's historical projects; their growth curve depended entirely on personal accumulation and senior mentors. In practice, the firm was spending millions in labor costs every year on repetitive knowledge production work — knowledge that could have been reused.

璟知科技解决方案

JingMind Technology built an intelligent system covering the full knowledge production lifecycle for the consulting firm:

Knowledge Asset Library — Десять years of historical project outputs (after anonymization) were structured and ingested into the system, including industry analyses, competitive landscape reports, client interview summaries, and solution frameworks — a total of 8,000+ documents — supporting natural language search and cross-project referencing.

Project Kickoff Assistant — When a new engagement begins, the system automatically matches relevant historical projects and outputs a reference package of related documents, industry data, and reusable methodologies, allowing the project team to build on the firm's 10 years of accumulated knowledge from day one.

Deliverable Generation Support — Integrated into the team's everyday tools, consultants can query the knowledge base directly while writing presentations and reports. AI auto-generates structured first drafts, freeing consultants to focus on insight development and client communication.

落地成果

Industry Research Time
5–7 business days1–2 business days

Historical research reuse + AI assistance delivers a 5x boost in research efficiency

Knowledge Reuse Rate
<20%75%

75% of foundational research at project kickoff can be pulled directly from the knowledge base

New Consultant Ramp-Up Time
3–6 months6–8 weeks

Quick access to historical projects accelerates onboarding significantly

Report First-Draft Time
3–4 daysHalf a day to 1 day

AI generates a structured first draft; consultants focus on deepening content and insights

We had 10 years of project work, but in practice it was worth almost nothing to us — because it was unsearchable and unusable. After the knowledge base launched, we finally have an institutional knowledge asset that can be passed down from generation to generation. Every new project now builds on 10 years of accumulated work rather than starting from zero.

Managing Partner

项目实施周期

Week 1–3

Historical document audit and anonymization; knowledge taxonomy design

Week 4–6

8,000+ documents vectorized and ingested; search system testing and optimization

Week 7–8

Project Kickoff Assistant goes live; integration with project management system

Week 9–10

Deliverable generation support feature launches; company-wide training

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