AI Automation Agency for Business Workflows

Most agencies sell a Zapier rebuild with a chatbot stapled on. We build real business process and workflow automation on the same n8n + agent stack we run our own company on — operations, finance, PM, and SEO. You get the architecture we already trust with our own business, not a slide deck.

I want to finish my MVP
You built the vision. We bring the structure, scale, and support to launch it.

What an AI automation engagement actually looks like

Triage and draft inbound — leads, support, internal asks

Inbound from forms, inboxes, Calendly, and lead ads lands in one place. An agent reads it, enriches against your CRM and the web, scores it against your ICP, drafts the first reply, and routes it to the right human with context attached. Humans start from a draft, not a blank page.

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Reconcile data across Stripe, QuickBooks, CRM, and Linear

Stripe, QuickBooks, Upwork, and CRM data live in different systems and disagree at the margins. A scheduled agent pulls both sides, matches what should match, flags what does not, and posts a clean exceptions summary to Slack. Finance reviews exceptions instead of doing data entry.

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Scheduled reports drafted in your voice, one-click approve

Project status, weekly metrics, campaign performance — the data exists, but pulling it together takes someone half a day every week. A reporting agent pulls the data, drafts the report in your voice, and queues it for one-click approval. Half a day becomes ten minutes of review.

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The Tools We Use to Finish and Polish Your MVP

The stack we build on — and run our own company on

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n8n

Self-hosted, version-controlled workflows. Cron triggers, webhooks, conditional branches, retries, and error handling — the skeleton that makes every run observable.

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Anthropic Claude

Custom AI agents wired into your systems for classification, drafting, decisions, and summarization — with explicit tool access and tool-call ceilings.

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Slack + Linear

Where humans live. Agents draft into Slack threads and file Linear tickets so reviewers and engineers act in the tools they already use every day.

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Supabase

Postgres-backed state for run logs, queues, and audit trails. Every input, tool call, model output, and cost recorded so you can replay any decision the agent made.

Stop renting Zapier. Own the automation.

What we build

Concrete deliverables we ship over and over again. Most engagements combine two or three of these on the same n8n + agent backbone.

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Lead intake + routing agents

An agent classifies, enriches, scores, and routes inbound from every channel — forms, inboxes, lead ads. Humans respond in minutes with full context.

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Back-office reconciliation pipelines

Stripe ↔ QuickBooks, CRM ↔ email, Linear ↔ GitHub. A cron-triggered agent pulls both sides, compares, and reports exceptions. Highest ROI per build hour.

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Scheduled reporting + client updates

Friday morning, the agent pulls the week, writes the brief in your voice, and posts to Slack with one-click approve or edit. The pattern most clients ask for first.

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Onboarding + offboarding workflows

Fifteen to thirty steps across Linear, Slack, GitHub, Notion, Drive, and CRM. An onboarding agent runs the checklist and only escalates steps that need judgment.

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Internal Slack copilots

Slack-native copilots that answer questions against your data, draft messages, and trigger workflows — so your team stays in Slack instead of context-switching.

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Cross-system sync flows (CRM ↔ Linear ↔ Notion)

Keep CRM, Linear, Notion, and Sheets in sync without ripping and replacing. Agents read from one system, transform, and write to the next on a schedule.

Frequently Asked Questions

Common questions about how we scope, build, and hand off AI automations.

What does an AI automation agency actually do?

An AI automation agency designs, builds, and operates business process automation and workflow automation systems for companies that have outgrown off-the-shelf tools. At Revex that means n8n for orchestration, custom AI agents for reasoning, and your existing systems for the data — wired together so repetitive work runs without human babysitting.

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How is this different from Zapier or Make?

Zapier and Make are great for simple if-this-then-that flows. They break when the work requires judgment — classifying a message, drafting a reply, reconciling messy data, deciding when to escalate. That is where AI agents come in, and that is what we build on top of n8n.

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Do you replace our team?

No. Every workflow we build has explicit human-in-the-loop checkpoints. The goal is to remove the parts of the job that should not have been a human's job in the first place — data entry, routing, drafting from a template — so your team spends time on the parts that need judgment.

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What is the AI Opportunity Assessment?

A scoped, fixed-fee engagement where we map your workflows, identify the highest-ROI automation candidates, and produce a written plan with a build estimate. It is the entry point for working with us. If the ROI is not there, we tell you and you do not build.

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How long does a typical automation build take?

Most single-workflow builds ship in two to four weeks once the assessment is approved. Larger programs ship in phases, highest-ROI workflow first.

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Who owns the code and the workflows?

You do. n8n workflows live in your instance, agent code lives in your repo, and model API keys are yours. We build it, hand it over, and stay on retainer only if you want help evolving it.

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