One bottleneck. One automation. Live in 2–5 days.
Not Zapier with more steps. AI reasoning embedded in the execution path, reading context, making decisions, drafting language, and taking multi-step actions independently.
One high-volume manual process is eating hours your team does not have.
You do not need an agentic pipeline with 100 eval stories and a CI gate. You need a specific process automated, email outreach, content repurposing, inbox management, research briefings, and you need it working by the end of the week.
We scope, build, and deploy a focused AI automation for one process. Scoped in one call. Built in 2–5 days. Handed over with documentation and a 30-day support window. No retainer required.
Team manually processes high-volume tasks, emails, content, research. Specialist time spent on work that follows a repeatable pattern.
Automation runs on schedule or trigger. AI reads context, makes decisions, takes action. Team touches the exceptions, not the routine.
How we build it.
Every stage has a defined role and a quality gate before the next one runs, the same engineering spine under every Agentix system.
- 01
Scope Call (30 min)
We map the exact process: input, decision points, output, and edge cases. This determines which tier the automation fits and what the build involves.
- 02
Build (1–3 days)
n8n workflow built with AI reasoning nodes where decisions are required. No-code where simple logic is enough. AI only where it adds value.
- 03
QA (1 day)
50+ real-scenario tests. Edge cases: malformed input, empty results, API failures, rate limits. All handled before you see it.
- 04
Deploy & Handover
Live in your environment. Documentation covers every trigger, every AI step, and what to do when something unusual happens. 30-day support included.
Delivered on
every engagement.
You own all of it, code, infrastructure and data, from day one. No licence fees, no hosted dependency.
- Fully built and deployed automation for the scoped process
- n8n / Zapier workflow with AI reasoning steps (Claude or GPT-4o)
- Integration with your existing tools, CRM, email, calendar, content platforms
- Trigger configuration, webhook, schedule, or event-based
- QA testing on 50+ real scenarios before handover
- Documentation and 30-day support window post-deployment
Not a demo. In production.
Open-source.
Self-hosted. Owned.
Built on components you can host, fork and extend. LiteLLM abstraction means you swap models without rewriting integrations.
Is this your
problem shape?
Describe what you're trying to do. We'll confirm whether this is the right system type, scope the build, and tell you what the eval harness looks like.