Expertise

AI Workflow Developer

An AI workflow developer builds the steps where software needs judgment: reading, classifying, summarizing, drafting and deciding — embedded inside reliable business workflows, with humans approving anything that matters.

Automation with judgment built in

Classic automation moves data between systems. AI workflows go further: they understand content. An incoming email is not just forwarded — it is read, categorized by intent and urgency, matched against your knowledge, and answered with a draft that sounds like your team. A CV is not just stored — it is parsed, summarized and matched against your requirements.

Where AI earns its place — and where it does not

We add AI only where it removes real work: classification, extraction, summarization, drafting and scoring. For fixed rules — totals must match, duplicates must be blocked — deterministic logic is cheaper and safer, and we will tell you so. Every AI step is grounded in your data, given a confidence threshold, and paired with a human fallback.

Built to be trusted

AI outputs are logged, reviewable and easy to override. Draft-first rollouts mean your team approves everything until accuracy is proven on your real data. No black boxes, no silent sending, no surprises.

Deliverables

What you receive

  • AI classification and routing workflows
  • Document extraction and summarization pipelines
  • AI drafting with human approval steps
  • Knowledge-base-grounded answering
  • Lead and candidate scoring
  • Confidence thresholds and escalation logic
  • Output logging and review tooling
  • Documentation and training

Core stack: n8n · OpenAI & Claude APIs · REST APIs & webhooks · JavaScript · PostgreSQL / Supabase · Airtable · Google Workspace · HubSpot · Shopify · QuickBooks / Xero

Process

How an engagement runs

Every project follows our six-step process: a free discovery call and audit, a written proposal with a fixed price, the build on your own accounts, testing with your real data, documented handover with training, and optional monthly maintenance from $100–$500/month.

FAQ

Common questions

Which AI models do you use?

Primarily OpenAI and Claude models, connected through your own API keys. The right model is chosen per step — smaller models for cheap classification, stronger ones for complex drafting.

How do you stop the AI from making things up?

By grounding it in your documents, restricting what it may answer, testing it against your historical cases, and escalating anything uncertain to a human instead of letting it guess.

Do we need a lot of data to start?

No. Most workflows start from your existing documents, templates and past examples — a support knowledge base, a folder of invoices, your sent emails. We structure what you already have.

Services

Related services

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An intelligent inbox layer that classifies every incoming email, drafts replies in your voice, flags what is urgent, and sends you a clean daily summary.

$300–$1,500 per project
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AI Recruitment Automation

An assistant for your hiring pipeline: it collects applications, parses CVs, extracts candidate data, writes AI summaries and matches candidates against your requirements.

$500–$3,000 per project
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AI Customer Support Automation

An AI-powered support system that answers customer inquiries, pulls answers from your own knowledge base, creates and routes tickets, and escalates to a human when it matters.

$500–$3,000 per project
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Tell us which process eats your team's time

Book a free 30-minute consultation. We will audit your workflow and tell you honestly what automation can (and cannot) do for it — no obligation.

Book a free consultation