Methodology
We emphasize a complete loop from problem definition to implementation, driving AI projects with clear rhythm rather than remaining at conceptual discussion.
Diagnose
Understand business goals, organizational and system reality, data conditions, and constraints — identify what is truly worth doing with AI.
- Clarify goals and value boundaries
- Inventory organization and systems
- Assess data conditions and constraints
- Initial judgment of high-value directions
Identify
Identify high-value, deployable, low-friction AI scenarios and set priorities.
- Screen high-value scenarios
- Assess feasibility and friction
- Prioritize and sequence the roadmap
- Align scenarios with business actions
Pilot
Validate value and boundaries via PoC, prototype, or small-scope trial before scaling.
- PoC or prototype design
- Small-scope trial run
- Value and boundary validation
- Feedback and go/no-go judgment
Implement
Connect validated capability into real business processes as application systems, knowledge systems, or workflows.
- Embed capability into real workflows
- Build applications, knowledge systems, workflows
- Integrate with existing systems
- Production-grade delivery and launch
Companion support
Keep advancing through feedback, process optimization, data completion, and organizational alignment — from pilot to organizational capability.
- Usage feedback and impact evaluation
- Process optimization and data completion
- Organizational alignment and habits
- Expansion to more scenarios
Consulting + Co-Creation + Implementation + Accompaniment
CoT Network doesn't seek to apply a fixed template to all clients. We value working with clients to understand problems, identify opportunities, drive deployment, and continuously create results through real usage.
How this knowledge is produced
Content provenance and editorial process
Sourced from real engagements
Knowledge pages and material summaries are distilled from CoT Network's first-hand consulting work — the patterns, methodology stages, and client scenarios on this site are abstracted from delivered projects, not aggregated from third-party sources.
Reviewed by the editorial team
Each knowledge page is reviewed by the CoT Network editorial team before publication. The 'Reviewed by' and 'Updated' fields on every page reflect the latest editorial pass; corrections and revisions are republished with an updated timestamp.
AI-assisted, human-supervised
We use AI tools to help draft, translate, and structure long-form content, but every published page is reviewed by a human editor. Content that affects business decisions is grounded in our delivered work — we do not publish synthetic case studies or fabricated statistics.