Understand the business first, don't push tools
Observe real processes, identify owners, triggers, inputs, blockers, success and stop conditions.

Enterprise FDE Talent Development
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.

FDEs go deep into the business site, understanding tasks and organizational constraints, connecting systems themselves, and taking responsibility for results after launch.
Observe real processes, identify owners, triggers, inputs, blockers, success and stop conditions.
Understand permissions, interfaces, fields, failure paths, and existing technical debt. Turn solutions into runnable versions.
Distinguish between actions AI can complete, prepare, and those that must be done by humans, and design human takeover.
Use evaluation, monitoring, rollback, runbooks, and knowledge transfer to ensure the company can sustain the system long-term.

AI System Architecture
Training and project delivery happen simultaneously. Every step has tasks, deliverables, mentor feedback, and company confirmation. No simulations replace production responsibility.
DIAGNOSE
Interview business owners and users, documenting current processes, data, systems, exceptions, and decision boundaries.
DESIGN
Define triggers, inputs, AI and human division of labor, tool calls, outputs, stopping conditions, and representative samples.
BUILD
Connect necessary sources and tools, preserving references, status, failure fallbacks, and human confirmation, and complete validation with real samples.
SHIP
Complete identity, permissions, logging, monitoring, rollback, support window, and usage instructions, and open to specific users.
HANDOVER
Company engineer leads review, handles real changes, explains metrics, and plans the next cycle; mentor shifts to review support.
Capability is not listening duration, but runnable systems, verifiable evidence, and methods the company can continue to use internally.
Deliver a runnable AI workbench or workflow for the agreed task. Don't use demos as a substitute for real connections.
Document completed tasks, evidence, risk boundaries, and next training focus across six capability dimensions.
Retain test samples, launch thresholds, monitoring, exception takeover, rollback, and support methods.
Completed by company personnel, including demos, architecture explanations, change handling, and retrospectives, to verify that capabilities truly remain in-house.
Choose one real process you participated in recently. Only check capabilities you can prove with actual deliverables or records.
Current capability starting point
Not yet assessedCheck the conditions you already have, then see the next steps.
0 / 6 items in placeResults are calculated only on this page and are not uploaded or stored.Read the capability map, workflow blueprint, and latest enterprise FDE updates, then bring a real process into project discussions.
6 items total
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 updateDesign 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 guideUse 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 guideRecord 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 updateEstablish 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 guideCompare 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
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.