Delivery asset packPopular
AI Diagnostic & Use-Case Assessment
Turns "we should do AI" into a prioritized, actionable list.
7 min read
GTM CASE STUDIES · AI TRANSFORMATION · APAC
See how others use AI forgrowth. You can too.
CodeLeo indexes GTM and AI adoption case studies from APAC and worldwide — some delivered by our own team — each labelled with its evidence tier and sources. See what others did, then plan your own move.
- 13
- Cases indexedCASES
- 13
- Delivered by usFIRST-PARTY
- 100%
- Available in all 3 languagesTRILINGUAL
- 4
- GTM models coveredGTM MODELS
- Hong Kong team
- Our own delivery plus public cases
- Evidence tier and sources on every case
EDITOR'S PICKS01 / 03
Start with a play you can copy
Read time
Freight Forwarding & Customs Brokerage Firm
GTM model
AI-native Growth
Market
North America
Evidence · First-party deliveryReplicability · Medium
First-party delivery cases · metrics reported by the engagement team, not independently audited
EDITOR'S SUMMARY
Read the bill of lading, invoice and packing list together, cross-check them, then draft the customs entry: complex imports went from 40–60 minutes to under two, with the entry writer still signing off.
This is our editorial summary of the case — not a client quote or testimonial.
How much of this play could your team replicate?
Companies and brands in the case library
Companies in the case library include: Freight Forwarding & Customs Brokerage Firm, Financial Services Firm, Heavy Equipment Manufacturer, Fertility Care Organization, Bay Area Automotive Group, Dealership Group, Cross-Border Trade Company, Food & Beverage Distribution Group, Logistics & Supply Chain Company, Discrete Manufacturer, Atlanta Medical Device Company, Energy Exploration & Production Company, LA Surrogacy Agency
These are the companies each case is about; some are anonymised at the client's request.
WHAT THESE CASES TELL USView all news →
3 dividing lines for mid-sized companies, drawn from 13 case studies
The window for AI transformation is narrowing.; It's not a lack of tools. It's a lack of systems that ship.; Teams that can engineer delivery are rarer than teams that can demo.
01 — Timing
The window for AI transformation is narrowing.
Mid-sized companies that put AI into production first are opening a structural efficiency gap over their peers.
Strategy: commit to a 90-day validation window
02 — The real problem
It's not a lack of tools. It's a lack of systems that ship.
Most enterprise AI pilots stall at POC, blocked by private data governance and system integration.
Way forward: a low-intrusion agentic gateway
03 — Delivery
Teams that can engineer delivery are rarer than teams that can demo.
CodeLeo's in-house engineering team takes you from business diagnostic to production launch.
Core principle: source code is handed over with delivery. No black boxes.
CapabilitiesThe methods and assets worth reading first
The methods and assets worth reading first
From decision frameworks to action checklists you can use now.
Sheet 01 · Opportunity ScoringPreview only · not final
OpportunityFitValueScore
Customer service8.4
Knowledge retrieval7.1
Sales ops6.2
Unlock full · scorecard + priority matrix
Capabilities
Understand the method before choosing the build
Decision guide
Enterprise AI transformation: ten things leaders must understand
Ten shared decisions for leadership teams, spanning business problems, knowledge assets, operating boundaries, and governance.
8 min read
Delivery asset pack
Agentic Workflow Redesign
Breaks multi-step manual workflows into a clear human-agent division of labor.
7 min read
Use-case guide
AI commercialization use-case selection guide
Screen for AI opportunities that are valuable, buyable, and repeatable using value density, data availability, and delivery boundaries.
7 min read
OPPORTUNITY COST · DO THE MATH
How much is repetitive work burning each year?
A rough annual cost of repetitive manual work, from three numbers. Runs locally —nothing uploaded.
Share of their work that is repetitive
EstimateHK$ / year
ConservativeHK$ 450,000
Full automationHK$ 750,000
Conservative HK$ 450,000，Full automation HK$ 750,000
A rough estimate from public benchmarks, for order-of-magnitude judgment only; actual returns depend on the diagnostic and acceptance criteria.
Take the 3-question diagnostic to find where to reclaim itReading others' cases is good.
Diagnosing your own is better.
Based on your industry and stage, we'll prioritize where AI should go first and map out a phased engineering timeline.
No commitment · No data upload · Work directly with our Hong Kong team
FAQ
Frequently asked
The five questions we get asked most about sourcing, access and delivery.
Something else on your mind? Email usAre CodeLeo's cases reliable?
All cases are compiled from public third-party reporting and company disclosures. Each is labeled with an evidence rating and sources, and noted as not independently audited by us.
Are the case breakdowns free?
Yes. All 13 breakdowns are free to read. Subscribe to the dispatch for new cases and industry signals each month.
Is the AI diagnostic free?
The online diagnostic is free, with results in 3 questions. For a one-on-one consultant review, book by email.
Which regions do you serve?
Our team is based in Hong Kong and primarily serves enterprise clients across APAC.
Who owns the source code after delivery?
That's defined by the contract. Our preference is to hand source code over to the client with delivery, avoiding black-box dependency.
CASE DISPATCHES