The Value of FDE: Getting the Business Clear
Scenario scoping, data facts, and knowledge semantics — once these three are clear, everything else can be done by AI. OntiCards FDE Workbench: the FDE work paradigm built for the AI era.
It is not about FDE being replaced by AI — it is about FDEs who get the business clear, using AI to accomplish the other 90% of the work. We turned that 90% into a product.
How We Work
FDE Focuses: Getting the Business Clear
FDE work concentrates on three things — judgment-intensive, and only humans can do them well.
- Scenario scoping — which business processes are worth automating? Which first? What returns?
- Data facts — what data each scenario needs, which system it comes from, what the semantics are, who maintains it
- Knowledge semantics — what business knowledge, SOPs and tacit experience to capture; how to unify terminology
AI Takes Over: Everything Else
Once things are clear, the rest is done by AI, end to end.
- Auto-written proposals — from confirmed lists, AI drafts formal, submission-ready build proposals
- Auto-pre-generated requirements — new scenarios come with AI-generated data & knowledge lists: from sorting from scratch to review-and-check
- Auto-produced skills & execution packs — skill lists, interview outlines, and implementation routes, ready for AI employees
- Auto-merged walkthrough — multi-scenario requirements merge into one table, annotated with referencing scenarios
Incremental Iterative Delivery
No one-shot global modeling — adopt a progressive approach of ship, calibrate, grow.
- Deliver one business domain's Agent + skills first
- Expand to the next domain after it works
- Continuously optimize semantics, refine new skills
- Local iteration without disrupting the whole ecosystem
Agile Iterative Delivery
Rapid Cold Start
AI auto-identifies schemas, generates data card drafts, and discovers relationships. Project starts in days — no lengthy upfront research needed.
FDE Business Calibration
FDE focuses on getting scenarios, data facts, and knowledge semantics clear: calibrate card semantics, unify terminology, clean erroneous relationships, configure permission baselines — clarity comes first.
Incremental Delivery
Deliver one business domain's Agent + skills first, then expand. Ship, calibrate, grow — reducing one-time investment risk.
Business User Participation
Empower business users to self-configure skills and adjust Agent parameters, reducing ongoing FDE dependency and letting the business truly "own" the system.
Self-Evolution + Human Review
System auto-optimizes semantics and refines new skills. FDE reviews self-evolution output to ensure business correctness. The system gets smarter with use; ops costs decrease.
Paradigm as Product: FDE Workbench
This process is now a self-service product: create a project, pick scenarios, confirm in walkthrough, and let AI generate proposals and execution packs — business teams can run the scoping and initiation themselves.
Four Core Work Domains
What the four domains share: everything requires getting clear first, before AI can execute.
Data Semantic Layer Delivery
Research business terminology, unify enterprise dictionary; calibrate AI-generated data card field definitions; clean erroneous semantic relationships, distill valid relationship cards; partition data spaces, configure permission baselines, govern data quality.
Skill Library Delivery
Map enterprise SOPs, tacit business experience, role know-how; integrate external systems via MCP/API, package standardized executable skills; define skill risk levels, exception flows, business constraints.
Agent Ecosystem Delivery
Split role-based Agents aligned with enterprise org structure; bound each Agent's data, skill, and business decision boundaries; set automation thresholds, approval red lines, exception fallback strategies.
Continuous Iteration & Governance
Track business changes, iterate card semantics, update skills, adjust Agent permissions; review self-evolution output for business correctness; empower business users to self-configure, reducing ongoing ops cost.
Core Advantages
Incremental Iteration
Ship, calibrate, grow — not one-shot global modeling
AI End-to-End
Once clear, modeling, proposals, skills and orchestration are all done by AI
Human-AI Collaboration
AI handles mechanical workload, FDE focuses on business precision
Low-Risk Changes
Local iteration without disrupting the whole ecosystem
Fast Delivery
Rapid cold start, continuous optimization, lightweight delivery
Complete Ecosystem
Deliver data cards + Agent ecosystem + skill library as a complete digital twin
Business Self-Service
FDE empowers business users to self-configure
Decreasing Costs
Self-evolution + FDE review + self-service — ops costs keep dropping
FDE Workbench: The Paradigm, Now a Product
What you have read above is not just a philosophy — it is a live system. OntiCards FDE Workbench productizes the FDE paradigm, letting your own business and IT teams complete smart-transformation scoping and project initiation without on-site consultants.
Create a Project
Choose industry, company size, and business goals.
Pick Scenarios
Check from the industry panorama scenario library (84 retail & FMCG scenarios / 98 manufacturing scenarios, each pre-loaded with data, knowledge and skill templates), or define custom scenarios with AI-pre-generated lists.
Walkthrough
After all scenarios are merged and de-duplicated, confirm item by item where data connects and where knowledge is extracted — this is where getting clear happens.
Generate Proposals
AI writes formal project proposals, exports Markdown, and produces execution packs ready to hand to AI employees.
Standing on the shoulders of the panorama: getting clear becomes a process, and everything else is handed to AI.
Deliverables
Data Card System
AI-generated + FDE-calibrated enterprise-wide semantic data map and addressing system.
Domain Agent Ecosystem
Role-aligned intelligent agents, each with clear data / skill / business boundaries.
Skill Library
Standardized atomic capability packaging of enterprise SOPs, system operations, and business experience.
Event-Driven Digital Twin Ecosystem
Agent autonomous decision-making and execution business running system.
Self-Evolution Governance Capability
System gets smarter with use, continuously optimizing semantics and refining new skills.
Business Self-Service Configuration
Empower business users to make lightweight adjustments, reducing long-term FDE dependency.
FDE Workbench
The self-service platform that turns this paradigm into a product — from scenario selection and walkthrough confirmation to AI proposals and execution packs, so enterprise teams can run scoping and project initiation on their own.
No heavy upfront investment — AI handles the mechanical workload, FDE focuses on business precision
Delivery cycle shortened by 70%+, project failure risk significantly reduced
Get the business clear, leave the rest to AI — FDE Workbench is live: fde.onticards.com
Try FDE Workbench