AIBotDevelopment(Chat/Voice)
Executives, business leads, and customer support owners looking to replace customer and internal touchpoints with conversational AI
Conversational AI for web chat, voice bots, Slack, and beyond — turning every touchpoint into an intelligent LLM interface
Chatbots and voice bots don't get useful by calling an LLM API — they stop at "smart FAQ." A genuinely useful bot requires operations design: which decisions to delegate, which information to surface, when to hand off to a human. Web chat, Slack, phone IVR, internal helpdesk — each channel demands a different design. We build with an agent hierarchy in mind: bots that decide, skills that execute, with a clear boundary between them. Whether to build on Claude Code is an implementation question. The substance is dialogue design and business integration.
Is This For You?
- Add a chatbot to our website
- Hand off first-line phone response to AI
- A bot in Slack that answers internal FAQs
- Replace customer support with an LLM-based interface
- Rebuild our IVR with AI
If this sounds like your situation, please reach out for a free consultation. Contact us
What We Solve
What we solve
Inquiry handling, internal FAQs, first-line phone response — some touchpoints can’t be replaced by text UI, and others are out of reach for static FAQ pages or full-text search. A chat bot needs to understand intent, synthesize knowledge, and return a coherent response. A voice bot needs a stable STT–LLM–TTS loop that holds up under real call conditions.
This service covers both text chat bots and voice/phone bots. We handle everything from scenario definition and knowledge structuring through LLM response control, hallucination mitigation, citation enforcement, human escalation paths, and phone integration (SIP and similar).
The responsibility of this service is not “a bot that calls and returns LLM output” — but a conversational interface that actually runs as a business operation.
After State
First-response handling is completed by AI, and humans focus exclusively on exceptions and high-judgment decisions.
Phases & Deliverables
Use case definition
Agree on the target channel (text / voice / phone), dialogue scenarios, and evaluation metrics.
Knowledge preparation and dialogue / voice design
Structure the reference knowledge and design conversation flows and fallback paths. For voice, also define STT/TTS selection and phone integration approach.
Implementation
Build the LLM connection, UI, and evaluation harness — or the phone integration and voice loop.
Verification and tuning
Iterative tuning for hallucination mitigation, response quality, and call quality.
Launch and operations
Production release, call activation, log analysis, and continuous improvement.
Timeline & Pricing
A PoC engagement starts at From JPY 1.5M, with an MVP (production-ready quality) starting at JPY 3M–10M. Actual cost varies significantly by number of agents and scope of existing system integrations. Contract types: Lump sum or Time-and-materials.
Indicative estimates only. Actual cost varies with the number of dialogue scenarios, voice quality requirements, and concurrent call volume. Contact us for an accurate quote.
For detailed pricing, contract structure, payment timing, and NDA, please refer to the FAQ (Pricing & Contract).
FAQ