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Lixing, FDE Pre-Deployment Engineering

Enterprise FDE Talent Development

In real projects, we cultivate people who can put AI into production.

Develop people inside the company who understand the business and can build AI systems. Through real project co-building, teams learn to connect software, handle exceptions, and maintain continuously.

Guanche, AI scenario insight

An FDE is not just someone who uses AI.

FDEs go deep into the business site, understanding tasks and organizational constraints, connecting systems themselves, and taking responsibility for results after launch.

Understand the business first, don't push tools

Observe real processes, identify owners, triggers, inputs, blockers, success and stop conditions.

Connect data and systems hands-on

Understand permissions, interfaces, fields, failure paths, and existing technical debt. Turn solutions into runnable versions.

Put AI into bounded workflows

Distinguish between actions AI can complete, prepare, and those that must be done by humans, and design human takeover.

Take responsibility for production results and handover

Use evaluation, monitoring, rollback, runbooks, and knowledge transfer to ensure the company can sustain the system long-term.

Zhixu, AI system architecture

AI System Architecture

A real business line is the training ground.

Training and project delivery happen simultaneously. Every step has tasks, deliverables, mentor feedback, and company confirmation. No simulations replace production responsibility.

DIAGNOSE

Select a real task

Interview business owners and users, documenting current processes, data, systems, exceptions, and decision boundaries.

Client participation
Business owners, process experts, and engineers to be trained
FORMWEFT
FDE mentor and solution architect
Deliverables
Problem map, capability baseline, and initial task scope
Confirmation point
Confirm it is worth solving and can be verified

What the training program ultimately leaves behind

Capability is not listening duration, but runnable systems, verifiable evidence, and methods the company can continue to use internally.

A real business system

Deliver a runnable AI workbench or workflow for the agreed task. Don't use demos as a substitute for real connections.

An engineering capability file

Document completed tasks, evidence, risk boundaries, and next training focus across six capability dimensions.

A set of evaluation and runbooks

Retain test samples, launch thresholds, monitoring, exception takeover, rollback, and support methods.

An internal handover within the company

Completed by company personnel, including demos, architecture explanations, change handling, and retrospectives, to verify that capabilities truly remain in-house.

Six questions to determine your current capability starting point

Choose one real process you participated in recently. Only check capabilities you can prove with actual deliverables or records.

Check the project conditions you already have

Current capability starting point

Not yet assessed

Check the conditions you already have, then see the next steps.

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Start preparing with public guidelines

Read the capability map, workflow blueprint, and latest enterprise FDE updates, then bring a real process into project discussions.

6 items total

Tech updates2 min read ·

2026 enterprise FDE trends: from tool training to on-site engineering delivery

Based on 2026 public official materials, this analyzes why enterprises are starting to cultivate FDEs from internal engineering teams, including industry scenarios, system integration, evaluation governance, and production responsibility in training plans.

View tech update
Knowledge guides2 min read ·

What should an enterprise AI workflow clarify first?

Design a verifiable, rollback-capable enterprise AI workflow using the owner, trigger conditions, trusted inputs, AI-human boundaries, output actions, test samples, stop conditions, and operational responsibility.

Read knowledge guide
Knowledge guides2 min read ·

Enterprise FDE engineer six-dimension capability map and development path

Use six dimensions - business diagnosis, data and systems, AI workflows, evaluation governance, production operations, and on-site delivery - to assess the capability starting point of enterprise FDE engineers and design a real-project development path.

Read knowledge guide
Tech updates3 min read ·

Enterprise system technology radar: adopt, pilot, observe, and hold

Record enterprise technology adoption recommendations based on business maturity, data boundaries, integration costs, evaluability, and exit costs; do not replace production judgment with vendor hype or demo performance.

View tech update
Knowledge guides2 min read ·

What metrics should a marketing dashboard clarify first?

Establish a data contract for the marketing dashboard based on timezone, currency, discounts, refunds, taxes, and fulfillment status to avoid the same number meaning different things across teams.

Read knowledge guide
Knowledge guides2 min read ·

Why do ad platforms and order systems give different answers?

Compare platform attribution, UTM, first- and last-touch points, and order sources to explain differences between ad platforms and order systems, and establish a reviewable operational decision metric.

Read knowledge guide
SuGuang, Silicon-Based Co-Creation Guide

Bring a real business problem

Describe the team you want to develop, the current systems, and the business process you plan to implement. A quick consultation leads to FDE development leads; formal projects still require registration, company association, and review activation.