Deploy AI agents in weeks, not years.
Askhub connects your kintone, SAP, and SharePoint data to a production AI agent in five weeks — with Japanese-language NLP tuning, audit logs, and white-glove implementation included.
From idea to deployed agent — without the integration year
Pre-built connectors for kintone, SAP, Salesforce, SharePoint, and REST APIs. Read-only access to your existing stores — no middleware, no schema changes.
Build retrieval, routing, and escalation logic in the Askhub visual builder. No-code and low-code modes. Test against real company data in a sandboxed environment before going live.
One-click deployment to your team's existing channels. No IT ticket, no new app rollout. Your agent is where your people already work — on day one.
The Askhub platform — one workspace from connector to deployed agent
Design flows, connect data sources, run QA against real queries, and push to production from a single interface. Full audit trail, role-based access controls, and Japanese-language NLP tuning are built into every tier — not add-ons.
Built for how Japanese enterprises actually work
Tier-1 support, handled automatically
Answer repetitive customer questions from your internal knowledge base, escalate intelligently when human judgment is needed.
Learn moreInstant access to every policy and manual
Give every employee answers in seconds instead of 20 minutes of searching. Policies, project records, onboarding docs — all accessible through a simple chat interface.
Learn moreBridge legacy ERP to modern workflows
Connect kintone, SAP, and internal REST APIs to agent-driven workflows — without rebuilding core systems or adding ETL pipelines. The integration complexity stays on our side.
Learn moreFrom stalled pilot to production — in five weeks
We had been in pilot mode for over a year. Our DX roadmap had the use case defined, the budget approved, and the stakeholders aligned — the blocker was always the integration work. Intersect came in, connected our kintone and SharePoint environments, and had a live agent in our Slack within five weeks. The helpdesk queue dropped noticeably in the first month.
We evaluated three platforms before Askhub. The others produced technically correct answers but the Japanese felt like translated English — keigo misapplied, company-specific terminology missing. Askhub's NLP tuning made a visible difference from the first test session. Our support staff actually use it.
Live in four steps
Week 1 — Map your data landscape, define agent objectives, connect sources.
Weeks 2–3 — Design conversational logic in the visual builder. Test with real data.
Week 4 — Validate accuracy, test edge cases, verify compliance requirements.
Week 5+ — Go live in your channel. Team training. Monitoring cadence established.
Ready to take your first AI agent into production?
In a 30-minute walkthrough, we'll map your data environment, identify one high-value use case, and give you an honest assessment of what's achievable in five weeks.