Stop doing what software should do.
We build automations on n8n, Zapier, Make, and trigger.dev — plus LLM-driven agents when the workflow needs reasoning, not just routing. Right tool, right architecture, real time savings every week.
What do we automate?
Workflow automation is not a tool choice — it is a process audit followed by tool selection. We start by mapping the manual work eating your team's week: lead handoffs, invoicing, content publishing, customer support routing, data sync between SaaS tools, internal reporting. Then we pick the right architecture: Zapier when speed-to-value matters and the integration roster is what you need; Make when the logic is visual and branchy; n8n when self-hosting, data sovereignty, or unlimited execution count are required; trigger.dev when the workflow is genuinely code-first, long-running, or needs production-grade observability and version control. For workflows that need judgment — triage, classification, drafting, summarization — we layer LLM-driven agents on top of any of those platforms, with prompt versioning and evaluation. The output is fewer manual hours, higher consistency, and a documented process your team can keep extending.
What's included
Process audit and ROI map
We sit with your team, map manual work, estimate hours per week per process, and prioritize by ROI before recommending any tool.
Tool selection
Zapier vs Make vs n8n vs trigger.dev decision matrix based on integration coverage, execution volume, data sensitivity, and team capability.
Build and integrate
Production workflows with proper error handling, retry logic, alerting, and observability. Connected to your CRM, billing, support, and analytics stacks.
AI agents where they earn their keep
OpenAI or Anthropic-driven agents for triage, classification, drafting, and summarization — with prompt versioning, evaluation harness, and human-in-the-loop checkpoints.
Documentation and runbooks
Every workflow documented in plain language. Runbooks for failure modes. Your team owns the result, not us.
Monitoring and handoff
Dashboards for execution success rate, latency, and cost. Editor or admin training so the right people can adjust workflows themselves.
How we work
Process map
Week 1. Workshop with your team to surface manual work, count hours, and identify the top 3–5 ROI candidates.
Tool selection
Week 1. Decision matrix across Zapier, Make, n8n, and trigger.dev based on integrations, volume, data sensitivity, and team skill.
Build
Weeks 2–4. Build, test, and instrument the highest-ROI workflows first. Ship early, iterate weekly.
Layer in AI agents (if needed)
Weeks 3–5. Add LLM-driven agents for steps requiring judgment. Includes prompt eval harness and human-in-the-loop where stakes warrant.
Handoff and ongoing optimization
Final week + monthly. Documentation, training, and dashboards. Optional retainer for new workflows and tuning.
Tools and platforms
n8n
Self-hosted or cloud. Best for unlimited executions, data sovereignty, and complex branching logic.
Zapier
Fastest time-to-value. Largest integration roster. Best when speed and integration breadth beat per-execution cost.
Make (formerly Integromat)
Visual scenario builder for highly branched logic. Strong middle ground between Zapier ease and n8n power.
trigger.dev
Code-first background jobs and long-running workflows. Built-in version control, observability, and durable retries — production-grade.
OpenAI / Anthropic APIs
LLM-driven agents for classification, drafting, summarization, and judgment-heavy steps. Prompt-versioned and evaluated.
Pipedream / Supabase / Postgres
When custom event sources, queues, or persistent state are needed alongside the no-code platforms.
Frequently asked questions
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Which automation tool will you recommend for us?
It depends on integration coverage, execution volume, data sensitivity, and team skill. Zapier wins on speed and integration breadth. Make wins on branchy visual logic. n8n wins on self-hosting and unlimited executions. trigger.dev wins when the workflow is code-first, long-running, or needs production-grade observability. We pick after the process audit, never before.
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When does it make sense to add AI agents instead of plain automations?
When a step requires judgment, not just routing. Classifying inbound emails by intent, drafting first-pass replies, summarizing long documents, extracting structured data from messy text. Routing a Stripe webhook to Slack does not. We use LLMs where reasoning earns its keep and stay deterministic everywhere else.
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How do you handle data privacy and sensitive workflows?
For sensitive data we recommend self-hosted n8n or trigger.dev so data never leaves your infrastructure. We use scoped API tokens with least-privilege access, rotate secrets, document data flows, and avoid sending sensitive content to third-party LLMs unless the use case requires it and the vendor terms permit it.
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How is pricing structured for these tools?
Zapier and Make charge per task or operation, which can balloon at high volume. n8n self-hosted has only your infrastructure cost regardless of execution count. trigger.dev pricing scales with run minutes. We forecast monthly cost during tool selection so you do not get surprised after launch.
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Can you connect AI agents to our existing tools?
Yes. We use function-calling and MCP-style tool integration so an agent can query your CRM, write to your knowledge base, send Slack messages, or trigger downstream workflows. The agent stays inside guardrails (allowed tools, scoped credentials) and every action is logged and auditable.
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When should I choose trigger.dev over n8n or Zapier?
Choose trigger.dev when the workflow is meaningfully code (TypeScript), runs for minutes or hours, needs durable retries that survive restarts, or requires production-grade version control and observability. Stay on n8n or Zapier when the workflow is connector-stitching that fits in a visual canvas.
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Learn moreReady to dig in?
Tell us about the project, or grab a slot on the calendar — both go to the same team.