AI automation for business, pointed at the steps that actually need judgment

Start with the uncomfortable part. Most of what gets asked for as "AI automation" is a deterministic workflow wearing a costume. If the task is routing a ticket to the enterprise queue because the customer is on the enterprise plan, that's an if-statement, and an if-statement runs in milliseconds, costs nothing, and returns the same answer every time. A model returns a probability and a bill. We say this on first calls regularly, and it costs us work.

Models earn their place on judgment applied to unstructured input. Sentiment Analysis for Support is a real one: no rule reliably separates a frustrated customer from a merely terse one, and having a human read every ticket doesn't scale. Intelligent Ticket Routing beats keyword rules for the same reason, once the taxonomy grows past about eight categories. Smart Document Summarizer earns it because pulling renewal terms and obligations out of a signed contract is genuinely a reading task. The shape is always the same: the model handles the one step that needs interpretation, and deterministic code handles everything before and after it.

Every model call in our builds returns structured output against a schema, and that schema gets validated before anything downstream touches the result. Validation fails, the run stops, a human sees it. It does not guess and proceed. Anything that writes to a system of record or sends a message outside the company passes an approval gate first. That's why AI Email Drafter drafts and doesn't send, and why AI Proposal Writer produces a Google Doc with the CRM fields it pulled marked up, so the AE can check the numbers before a client ever sees them.

Agents, the multi-step kind, deserve the most caution. AI Sales Outreach Agent works because the risky action, hitting send on a personalized email, is gated, and because the research step writes into structured fields instead of free text. AI Research Agent has the same shape. What we won't build is an agent with write access to your CRM and no gate on it. The failure mode there isn't one wrong answer, it's forty wrong answers written to forty records overnight with nobody watching.

n8n is the default here. It's self-hostable, so for regulated work the prompts and the payloads stay inside your own infrastructure rather than transiting a vendor's queue. Pricing is hours times $150 and it's published. Smart Email Triage, or Smart Document Summarizer against a single document type, is Starter work at $900 to $1,800. Internal Knowledge Base Bot across Notion, Confluence, and Drive runs Workflow to Orchestration, $2,400 to $13,500, and the spread is almost entirely about how messy your permissions model is. Project minimum is $2,500. If what you want turns out to be an if-statement, we'll build the if-statement and bill the smaller job.