Custom AI automation services built for one process, not a template

We build automation around your own processes: n8n workflows and AI agents that route data, update systems and handle repeat tasks. It is custom because we scope your real systems first instead of selling a template.

Yes. Most first builds are one narrow workflow. The free call tells you whether it should be a workflow, an agent, or left manual.

We map your current workflow, identify the highest-friction manual steps, and show which processes are worth automating first.

No. We use n8n where it is the fastest reliable path, then add custom code, APIs, agents, and infrastructure when the workflow needs more control.

Yes. We usually connect CRMs, internal databases, spreadsheets, Slack, email, payment tools, and private APIs rather than forcing a new stack.

Simple workflow builds can ship in days. More complex automation systems usually take a few weeks depending on integrations, data access, and testing requirements.

Yes, same work. Custom automation and custom AI automation services describe the same engagement: workflows and agents built around your specific processes, not a fixed template applied to every client.

Both. n8n is our default for orchestration, but the solution is whatever fits: custom code, direct API integrations, or an AI agent layered on top, scoped to what your process actually needs.

A template automation applies the same pre-built steps to every customer regardless of how their process actually works. Custom automation starts from your process, your edge cases, and your data, then builds the workflow or agent logic to match, instead of forcing your business into someone else's template.

Pricing is scoped after the audit call, based on how many systems the automation touches, how much logic it needs to handle, and how much testing the workflow requires before it goes live. There is no fixed package price because no two processes need the same amount of engineering.

We only connect to the tools you grant access to, credentials live in the platform you choose (self-hosted or cloud n8n, or your own infrastructure), and nothing built for one client is reused or shared with another.

Yes. We monitor the automation after it goes live, fix edge cases that show up under real usage, and extend the workflow as your process changes. See our automation maintenance service for details on ongoing coverage.

Custom automation is for one process that needs bespoke logic or an AI agent built around it, such as ticket triage that reads context before acting. Custom workflow automation connects the tools you already run so data moves between them without manual copying. If the pain is judgment inside one process, start here. If it is data stuck between apps, see our custom workflow automation page.

Use an agent when a step needs to read context before acting, like a support ticket, an inbound email or a messy form. Use a fixed n8n workflow when the rules never change. Most builds mix both: the workflow handles triggers, retries and system updates, and the agent handles the one step that needs judgment.

If the task is simple and lives in a single tool, a no-code template is faster and cheaper. Custom work pays off when the logic branches, needs conditional steps, or has to talk to more than two systems. Sometimes the honest answer on the call is that a process should stay manual for now, and we will say so.

We run it against real cases from your process before it touches production, including the edge cases your team already knows about. Failures get retries and error handling in the build itself. After launch we keep monitoring, fix edge cases that show up under real usage and extend the logic as the process changes.

An in-house hire is slow to find, expensive to keep senior enough to build past basic scripts, and a single point of failure when they leave. With us, one senior engineer directs a fleet of AI agents through audit, build, integration and support, and the automation stays monitored after launch instead of depending on one person.

Bring a plain description of the process: what triggers it, which tools it touches, who does it today and where it goes wrong. Screenshots or a sample record help. You do not need a spec. On the call we map the process with you and score which steps are worth automating first.

Yes. Most first builds are one narrow workflow, and the same four phases (audit, build, integration, support) apply when you extend it into a multi-agent system later. Because we monitor it after launch, new edge cases and process changes feed straight into the next iteration instead of a new project from zero.

No. It takes over the repeat steps, such as data entry between systems, ticket routing and scheduled reporting, so your team spends its hours on the work only humans should do. Where a decision is risky, we set the agent to draft and a person approves before anything is sent or changed.