Direction & capability assessment
Assess goals, use-case priorities, data and technology, governance, talent, and operating readiness; output a gap map and roadmap.
Solutions & Services · Organizational capability
AI Transformation Planning & Assessment, and Trainings & Workshops
Clarify the direction of AI transformation, assess data, technology, process, governance, and people readiness, then design role-based trainings that leave judgment, practice, and operating capability inside the business. Existing AI projects that have stalled or missed expectations can also start with diagnosis and improvement.
Assess before training
Most businesses do not need another generic course
Leaders make investment decisions. Employees need safe practice. Business experts must translate experience. Project teams must deliver and operate. Training should connect these decisions.
Layered training & workshops
Choose modules by role and stage. Every engagement leaves a decision checklist, task card, ruleset, evaluation set, or Runbook.
Convert learning into a real project
Use foundations training to find people and scenarios, then move mature scenarios into 7-day validation or a 2–4 week standard pilot.
Six-layer training system
Different people need to learn different decisions
01
Leadership AI decisions
Opportunity ranking, investment conditions, data and security, accountability, and outcome metrics.
02
Company-wide foundations & tool practice
Low-risk tasks, data boundaries, verification, and when not to trust AI.
03
Department role workshops
Break down real sales, service, finance, or operations work and leave a scenario list.
04
Business knowledge translation
Turn experience into rules, cases, evaluation items, and human boundaries.
05
Department AI lead development
Find workflows, maintain knowledge, organize evaluation, collect errors, and route issues.
06
Delivery & operations training
Update knowledge, run Evals, release changes, handle incidents, and roll back.
What capability looks like
After the course, the team should be able to do something real
Understand
- Know AI’s boundaries, opportunities, and risks
- Decide whether a scenario should continue, change, or stop
- Route questions to business, IT, security, leadership, or FFDE
Operate
- Complete a real or simulated task
- Maintain knowledge, run evaluation, and handle exceptions
- Take over the workflow without FFDE operating it for them
See the full training system → · Explore the FFDE 5·6·7 methodology →
AI Project Diagnosis & Improvement
Understand what is blocking the result before deciding what to change
If an AI project has stalled, underperformed, or struggled to gain adoption, the next step is not automatically a new model, a new provider, or a rebuild. First establish what the evidence shows and what is worth keeping or changing.
AI Project Review & Improvement Workshop
Best for: Business, technical, and management teams that do not yet agree on the goals, actual outcomes, or next investment.
How it works: Review real work using the original goals, task examples, and usage records; clarify expectations, outcomes, responsibilities, and questions that need verification.
Deliverables: A facts-and-assumptions list, responsibility gaps, prioritized actions, and a recommendation to continue, adjust, or stop.
Boundary: This is a review and decision workshop. A meeting alone does not establish technical root cause and does not include code fixes by default.
In-Depth AI Project Diagnosis & Improvement Plan
Best for: Teams that need to investigate causes further or decide whether an existing system is worth retaining and improving before investing more.
How it works: Within the agreed access scope, examine real tasks, data, configuration, interfaces, and operating records to assess barriers across business goals, technology, process, adoption, and operations.
Deliverables: Evidence-based findings with stated limitations, recommendations on what to retain or change, an improvement roadmap, investment estimates, and acceptance criteria.
Boundary: Diagnosis does not include implementation by default. The report can be used by your team or another implementation partner.
Choose either service independently or combine them; the workshop is not a prerequisite for an in-depth diagnosis. Scope and timing depend on the project and available materials. If evidence is insufficient, we will state the limits of the findings and what additional validation is needed; we do not promise to identify every cause within a fixed number of days.
Recommendations may be to retain, repair, adjust, replace, narrow the goal, or defer investment. A rebuild or successful rescue is never assumed or promised. Any code fixes, implementation, production operations, or ongoing support are scoped separately, with their own budget and responsibilities.
Design from your current stage
Start with leadership alignment, capability assessment, a role workshop, project diagnosis, or delivery and operations training.
Discuss planning & training