n8n. Zapier. AI agents. MCP integrations. API plumbing. The boring infrastructure layer that lets your team stop copy-pasting between tabs and start operating at the pace your business actually needs. We run our own automation stack daily (content engines, client ops, lead routing) and then we build yours. Not AI demo theatre. Real workflows that ship and stay shipped.
Lead comes in via Typeform. Someone copies it into HubSpot. Someone else copies it into Slack. The CSM copies the summary into Notion. The ops manager updates the spreadsheet manually every Friday. You're paying people salaries to be slow API endpoints. Every one of those copy-pastes is a workflow that should have been automated 18 months ago. The bottleneck isn't your team. It's the absence of plumbing.
The consultant gave a beautiful demo. Slides. Animated agent flow. "It just works." Then it went live, and three days later the OpenAI API rate-limited, the prompt hallucinated a customer's name, and the entire ops team is now manually fixing the agent's mistakes faster than the agent is producing them. AI without proper error handling, retry logic, and human-in-the-loop checkpoints is not automation. It's expensive theatre with a llama mascot.
You started on Zapier for 5 workflows. Now you have 40. Your bill is $800/month and climbing because every "task" charged. Three workflows broke last week and nobody noticed for 48 hours. Zapier is brilliant for small ops. It is a financial disaster at scale. The same workflows on self-hosted n8n cost a $15/month VPS bill and run 10x faster. Most agencies don't tell you this because they're Zapier affiliate partners.
You have HubSpot, Slack, Notion, Linear, Shopify, Stripe, Klaviyo, Google Analytics, a custom Postgres database, and three internal APIs. None of them share data in real time. Your reports are stitched together every Monday morning by an analyst who hates their life. The lead-to-customer journey takes 14 tools to traverse, and nobody has a single dashboard that shows it end-to-end. You don't have a tech stack. You have a tech graveyard.
The boring, critical layer. n8n for production workflows. Zapier for lighter ops automations. Lead routing, data sync between tools, scheduled reports, alerts, internal notifications, content publishing pipelines.
Built with proper error handling, retry logic, monitoring, and version control. Workflows that don't break silently at 3 AM and don't require a maintenance retainer to stay alive. Real plumbing, not duct tape.
For workflows where rules-based logic isn't enough. LLM-powered agents that classify, draft, decide, and act, with human-in-the-loop checkpoints baked in. Built on LangChain, CrewAI, or custom orchestration depending on use case.
MCP-compatible architecture so your agents can grow beyond closed platforms. Memory, tool use, retrieval, and proper observability. Real agent infrastructure, not a wrapped ChatGPT prompt with a button.
Every automation engagement is assembled from these six modules. Pick the ones you need. We'll tell you which. Most builds use 2 to 3 simultaneously. The audit clarifies which.
Our primary automation platform. Self-hostable. Open-source. Scales to thousands of executions for the cost of a VPS. Custom JavaScript nodes for the edge cases.
For workflows your ops team will own. Faster setup. Friendlier interface. Better for non-technical end-users editing flows themselves.
For workflows that need decision-making, not just rules. LangChain, CrewAI, custom orchestration. Production-grade prompt engineering with observability.
The emerging standard for AI-tool connectivity. Model Context Protocol servers that let Claude, ChatGPT, and Cursor talk directly to your tools.
The connective tissue. Custom REST integrations, middleware, webhook routing, internal API design. When the off-the-shelf integration doesn't exist, we build one.
Specialized AI workflows for content teams. SEO content pipelines, social media automation, video repurposing, asset generation. Built on the same stack we run for our own clients.
Same protocol every build. Audit, map, prototype, deploy, monitor. Real workflows on real data before any go-live. We don't ship slideware.
Ops walkthrough. Tool stack inventory. Manual-work analysis. Free. Honest call on what's worth automating and what isn't.
Workflow diagrams. Integration list. Platform recommendation (n8n vs Zapier vs agent). Signed in writing, scope and cost itemized.
Build the workflow on real test data. Edge cases identified. Error handling designed before deployment, not after the first 3 AM incident.
Production launch with monitoring. Webhook logs, error alerts, run history. Team training on how to read the dashboard and respond when things break.
Workflows fail. APIs deprecate. Prompts drift. Monthly retainer covers tuning, monitoring, and integration upkeep. Optional, never forced.
The honest answers. Including the ones most AI consultants dodge. If yours isn't here, email us. We'll answer it directly.
Free workflow audit. Honest diagnosis. We'll tell you exactly what's automatable, what isn't worth automating, and where AI actually moves the needle, before you commit to anything. No AI theatre. No demo-day slideware. Real ops impact you can measure in hours saved per week.
free audit. real workflows. real hours back.
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