LIFEWOOD
Ready100
Delivery Methodology

A 6-Stage Workflow

Lifewood delivery methodology: Intake, Semantic Audit, Pillar Execution, QA, Deployment, Performance Reporting. Predictable enterprise data delivery, end-to-end.

Stage 1 — Intake

Discovery, scoping, and SOW. Lifewood captures business objective, model spec, language and modality coverage, accuracy SLA, regulatory constraints, and procurement timeline. Output: signed SOW with phased acceptance criteria.

Stage 2 — Semantic Audit

Lifewood reviews customer data taxonomies, prior labeling guidelines, and downstream model behavior. We surface ambiguity and edge cases in advance rather than mid-production, where rework cost is highest. Output: a calibrated guideline set and a coverage map for the GENO Matrix dimensions relevant to the engagement.

Stage 3 — Pillar Execution

Production runs against the calibrated guidelines. For AEO/GEO engagements, execution maps to the four pillars — Entity Canonicalization, Provenance Engineering, Semantic Hygiene, Signal Engineering — with weekly progress across each. For data programs, execution runs against per-language and per-modality plans.

Stage 4 — QA

Dual-layer human-in-the-loop QA per the Lifewood QA process: independent first pass, audit second pass, statistical sampling, and rework gating. 95%+ accuracy SLA (99.9% for AV), with timestamped approvals.

Stage 5 — Deployment

Validated data or AEO/GEO assets are released to the customer environment through agreed delivery channels — secure cloud transfer, customer-managed annotation platforms, or direct API. Deployment includes acceptance testing and a hand-off briefing.

Stage 6 — Performance Reporting

Monthly performance reports with relevant KPIs: accuracy and rework rate for data programs; share of answer, citation rate, and entity correctness for AEO/GEO. Reports become the input to the next sprint cycle.

Methodology leadership

The methodology itself is set at executive level: Founder and CEO Ronald Cheung is the architect of Lifewood's industrial AI data approach, and Chief Knowledge Officer Eric Kang owns the process design and production methodology that make it reproducible across sites. Execution is overseen by senior leads across our Hong Kong, Cebu, and Malaysia hubs, whose credentials are available on request as part of enterprise procurement onboarding.

Walk through our delivery process

Book a 30-minute briefing with our delivery leads. We will tailor the methodology walkthrough to your model program.

Request a delivery briefing