Dify, n8n, or custom AI workflows
Use low-code tools where they fit, then move to custom apps, APIs, or LLM workflows when ownership, UX, security, or product depth matters.
When low-code helps
Dify and n8n are useful for prototyping internal flows, routing data, and proving whether an AI-assisted workflow is worth deeper product investment.
- Internal workflow prototypes
- API and webhook glue
- Prompt and retrieval experiments
- Operational handoff checks
When custom software wins
Custom delivery is usually better when the workflow needs branded UX, strict permissions, audit logs, owned source code, or a customer-facing product surface.
- Customer-facing web apps
- Role-based permissions
- Source-code ownership
- Security and audit requirements
Preguntas frecuentes
- How much does a DX PoC cost?
- A focused paid PoC usually starts from the Quick DX PoC range. Final pricing depends on data access, integrations, security needs, deployment environment, and acceptance criteria.
- How long does an AI automation sprint take?
- Most focused PoCs fit into 2 weeks, MVP automation sprints into 4 weeks, and production-oriented integrations into about 6 weeks.
- What data is required?
- The fastest start includes sample files, API docs, screenshots, example tickets, user roles, current workflow notes, and one owner who can join weekly demos.
- Can we start without API access?
- Yes. The first sprint can use exports, sample datasets, mocked APIs, or manual upload flows, then move toward API integration once access is approved.
- Do you support Japanese documentation?
- Yes. Engagements can include bilingual summaries, demo notes, handover materials, and meeting support through the Japan Desk model.
- Who owns the source code?
- Source-code ownership, repository handover, licensing, and reusable components are defined in the SOW before the sprint begins.
- What do we receive after 2 weeks?
- For a narrow PoC, the usual output is a working prototype or API slice, demo notes, assumptions, risks, acceptance criteria, and a recommendation to harden, integrate, expand, or stop.
- Who owns technical decisions?
- Senior engineers stay close to scope, architecture, AI-use risk, technical tradeoffs, weekly demos, and handover quality instead of hiding decisions behind layers of project management.
- What does an API sprint deliver?
- A focused API sprint can include endpoint design, an OpenAPI-style contract, auth assumptions, sample requests and responses, integration tests, logging, and handover notes.
- How do you measure whether the sprint worked?
- Each sprint starts with one measurable proof point such as reduced manual steps, successful extraction rate, API handoff success, response time, reviewer acceptance, or pilot-user feedback.