Engagement path 03

AI Automation that replaces manual work

For Inada Manufacturing in Japan, our founding engineer reduced quote turnaround from 6 hours to 48 seconds. Real production AI — not off-the-shelf wrappers or Builder.ai-style theatre.

Book a Discovery Call See Inada case study

6h → 48s

Quote turnaround — Inada Manufacturing, Japan

4–6 wks

Typical delivery timeline

5 countries

Production deployments across US, JP, BE, BD, TH

What we automate

Document processing

Extract structured data from PDFs, invoices, contracts, and forms. Classify and route automatically.

Quote generation

Turn specs, RFQs, or form inputs into accurate, formatted quotes in seconds. The Inada use case.

Lead qualification

Score and route inbound leads based on criteria you define. Connect to your CRM automatically.

Support triage

Classify incoming tickets, draft first-pass responses, escalate to human when confidence is low.

Technology stack

Typical AI Automation stack:
Vision / OCR  ·  Gemini 2.5 Flash (document understanding)
Reasoning    ·  Claude 3.5 Sonnet (complex logic, structured output)
Runtime      ·  Node.js + TypeScript
Database     ·  MongoDB (flexible schema) + Redis (queue + cache)
Agents       ·  OpenClaw agent framework (custom orchestration)
API          ·  REST + Webhooks
Deploy       ·  Railway / AWS ECS
Stack is adapted per workflow. We do not recommend one model for everything.

QuoteForge — the reference build

Inada Manufacturing in Japan produces precision massage chairs and needed quotes for custom configurations. Each quote required cross-referencing specs, pricing tables, and logistics data — a 6-hour manual process per inquiry.

Our founding engineer designed and built QuoteForge: an AI pipeline that parses incoming spec documents with Gemini 2.5 Flash, applies Inada's pricing logic via a reasoning layer, and returns a structured quote in 48 seconds.

Read full case study

When AI automation is NOT the answer

We tell clients this before the proposal, not after. AI automation has a narrow optimal fit range — and we won't quote a build we don't believe will deliver ROI.

Low-volume workflows (fewer than ~50 events/month)

Irregular, unpredictable input formats

Workflows where a human decision is always legally required

Problems that a well-designed form or spreadsheet would solve faster

Have a workflow that should be automated?

Describe it on the discovery call. We'll tell you within 30 minutes whether AI is the right answer and what a build would look like.

Book a Discovery Call