Internal knowledge search with citations
Give teams a search assistant that answers from approved sources and shows where each answer came from.
Why citations matter
For internal AI, trust comes from knowing the source. A citation-first workflow helps teams verify answers and avoid unsupported claims.
- Approved source sets
- Citation display
- Permission-aware retrieval
- Feedback loop for missing docs
Human review by default
For sensitive AI workflows, the system should show source evidence, confidence, suggested actions, and an approval path before anything important is sent or changed.
- Source citations
- Confidence and fallback handling
- Approval history
- Logging for AI actions
Production-minded delivery
A useful AI sprint is not a prompt demo. It needs data boundaries, user roles, retries, monitoring, security assumptions, and a clear path to integration.
- Data-source definition
- Role-based access assumptions
- API and model-provider assumptions
- Deployment notes
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.