AI workflows that become working tools

I help small teams turn repetitive browser, data, and AI review work into reliable systems with logs, retries, handoff docs, and clear human approval steps.

AI workflow loop from message input to RAG retrieval, AI draft, call log, and human review

Services

Useful first milestones, not vague transformation decks.

AI workflow integration

LLM API, RAG retrieval, Dify-style orchestration, review states, and traceable call logs.

Voice agent backend

Vapi-style tool calls, calendar and CRM routing, transcript summaries, and reusable workflow exports.

Browser and data automation

Playwright flows, CSV/Excel/PDF cleanup, API ingestion, alerts, and retryable failure paths.

Internal tool delivery

Python/FastAPI adapters, lightweight dashboards, Lark/Feishu integrations, and runbooks.

Proof you can inspect

The demo repository shows compact P0 loops: RAG review, Voice AI routing, and a mortgage-servicing slice with CSV import, event logs, and structured LLM classification.

Packages

Start small, verify quickly, then expand only when the first loop works.

Paid trial

Mock or real P0 workflow, field schema, interface notes, and handoff document.

RMB 1500-2000

Workflow MVP

One input source, one output destination, structured logs, retry path, and operating guide.

RMB 3000-6000

One-week sprint

Several connected workflows or an internal automation surface with review and monitoring.

RMB 12000+

Start with one bounded workflow

Share a redacted screen recording, sample file, API document, or process outline. I will scope the smallest paid milestone that proves the system can work.