Service 02 · Implementation
We build the systems, not the slides.
Plenty of consultants will tell you what AI could do. We build the thing, wire it into how your team already works, and hand it over running. Production infrastructure, not demos that die after the pilot.
What gets built
Whatever the workflow actually needs.
We're not locked to one platform. The tool follows the problem:
- n8n pipelines
- Claude API integrations
- Power Automate flows
- Custom GPTs
- HighLevel automations
- Canva workflows
- Programmatic video systems
- Full-stack web applications
Engagement shapes
Priced by scope, not mystery.
Entry build
From $1,500Flat entry package for common, well-understood use cases. One workflow, built properly, running in production.
Scoped projects
$250 to $300/hrComplex or multi-part builds, scoped by hours with expansion provisions built in as the engagement evolves.
Ongoing retainer
CustomContinued builds, advisory, or embedded collaboration after the initial engagement. Scope-dependent, around $300/hr baseline.
Every build starts discovery-led: we scope from your real workflows, so you're never paying for capability you don't need. See how scoping works →
The difference
Built to run without us.
- Production-ready: live tools in real workflows, not prototypes on a shelf
- Fits your stack: built around the tools your team already uses
- Handover included: your team can see it, steer it, and keep it running
Questions we actually get
The questions worth asking first.
What can AI actually automate in my business?
Usually the repetitive work sitting between your tools: the copying, chasing, formatting, and re-keying nobody was hired to do. We start from your real workflows rather than a tool list, then build what the work needs, whether that's an n8n pipeline, a Claude API integration, a Custom GPT, or a full application.
Why do most AI projects never make it to production?
Published research puts the failure rate somewhere between 80 and 95 percent, and the model is almost never the reason. Pilots die on data access, on integration with the systems you already run, and on the fact that nobody was named as the owner once the demo impressed everyone.
What is the difference between an AI demo and a production system?
A demo only has to convince people in a meeting. A production system needs authentication, storage, access control, deployment, monitoring, and someone to maintain it. That engineering is exactly what the pilot skipped and the budget forgot. We build the second kind.
How much does it cost to build an AI workflow?
Common, well-understood use cases start at $1,500 as a flat entry package. Complex or multi-part projects are scoped by hours at $250 to $300 per hour, with provisions built in for expansion as the work reveals what it actually needs.
What if AI isn't the right answer?
Then we don't force it in. Plenty of problems are best solved with a plain deterministic tool: no model, no unpredictability, just code that does the job the same way every time. AI is always part of how we build. It only ends up in the product when the product actually needs it.
Do you build it, or do you just tell us what to build?
Both, and you can stop after either one. Some clients want the blueprint and hand it to their own developers. Most want the thing running in their workflow by the end. What we hand over is live infrastructure, not a prototype for someone else to finish.
Have a workflow in mind? Let's scope it.
Twenty minutes to see whether it's a two-week build or a bigger one, and what it's worth either way.