FORMWEFT01
Understand the business first, don't push tools
Observe real processes, identify owners, triggers, inputs, blockers, success and stop conditions.
FDE practice: bring AI into one business workflow.
For developers and technical teams. Practise requirements, integration, evaluation and launch with checkable deliverables.
An FDE connects AI to real business workflows
Beyond prompting a model: understand the business, connect software, test results and keep the system running.
02
Connect data and systems hands-on
Understand permissions, interfaces, fields, failure paths, and existing technical debt. Turn solutions into runnable versions.
03
Put AI into bounded workflows
Distinguish between actions AI can complete, prepare, and those that must be done by humans, and design human takeover.
04
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.
Practise an inquiry workflow through concrete deliverables
This is a learning path, not an already-deployed client system. Produce a checkable document or release at every stage.
01
Map the current inquiry workflow
Record inquiry sources, responders, escalation rules and completion criteria.
Leave behindWorkflow map, owner list and five anonymised examples
ConfirmEvery example has a next action and responsible role
02
Define fields and action limits
Design IDs, summaries and states. Separate automatic intake from actions requiring review.
Leave behindField schema, state map and permissions checklist
ConfirmHandle duplicates, denied access and missing information
03
Build a minimal working version
Connect intake and records. Assign owners and prepare drafts while retaining review before sending.
Leave behindWorking version, anonymised samples and test record
ConfirmComplete intake, review and follow-up
04
Test failures, then launch carefully
Test duplicates, failed mail and access errors. Prepare rollback, logs and an owner action path.
Leave behindLaunch checklist, rollback plan and operating guide
ConfirmFailures preserve records and never bypass review
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.
01
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.
02
An engineering capability file
Document completed tasks, evidence, risk boundaries, and next training focus across six capability dimensions.
03
A set of evaluation and runbooks
Retain test samples, launch thresholds, monitoring, exception takeover, rollback, and support methods.
04
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.
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.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
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 updateWhat 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 guideEnterprise 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 guideEnterprise 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 updateWhat 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 guideWhy 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 guideBring 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.
What happens after submitting?
The team reviews your request and follows up by email. Scope, fees and timing are agreed separately; submitting does not create an order.
