What this is
Two related but different things live here. Automations follow a fixed set of steps: when this happens, do that, reliably, every time. Agents are given a goal and a set of tools, and work out the steps themselves, deciding what to do next based on what they find along the way. Both exist to take repetitive or judgment-heavy work off your plate.
How we build it
We start by mapping the actual process as it happens today, not the idealized version. For a fixed, predictable process, we build a straightforward automation (using tools like n8n, connected to your existing apps and APIs), since that's more reliable and cheaper to run than an agent for anything that doesn't truly need real-time judgment. For a task where the right next step genuinely depends on what's found along the way, we build an agent with the specific tools it needs (looking things up, calling APIs, writing to your systems) and clear boundaries on what it's allowed to decide on its own.
Either way, we test against real, messy inputs before launch, not just the clean example case, and build in monitoring so you can see what the automation or agent is actually doing, not just trust that it's working.
Example use cases
- Lead and inquiry routing across sales channels
- Invoice, order and data entry automation
- Customer onboarding and follow-up sequences
- Appointment scheduling and reminders
- Report generation and internal dashboards
- AI agents for customer support and FAQs
- Research and data-gathering agents
- Content review, tagging and moderation workflows
Who this is for
Businesses losing hours a week to manual, repetitive tasks, teams that want an AI agent handling support, research, or operations tasks that need some judgment, and founders who aren't sure yet whether they need an automation or an agent and want that decided properly instead of guessed.
What you get
- A workflow or agent built around your actual process, not a generic template
- Clear visibility into what it's doing and why
- The right tool for the job: a simple automation where that's enough, an agent only where it's genuinely needed