AI Automation Setup
We build the machine. You run the business.
We audit where your team's time is going, identify the 10–15 places AI can replace repetitive work, then build and train the systems that run it. The result: more output, less overhead, and tools your team actually uses.
Most teams recover 8–15 hours per week in manual execution tasks in the first 30 days — time that goes back into sales, delivery, and growth.
Built for founder-led teams with 1–3 people handling marketing, sales, and delivery — where every hour recovered is an hour you can put back into growth.
Build. Train. Deploy.
Before: you're not sure which AI tools are worth your time. After: a custom architecture built around your actual workflow — not a generic stack.
Use case discovery and workflow audit. Tool selection based on your actual needs (not trends). Custom AI assistant architecture. Workflow design mapped to your operation.
Before: AI output sounds like everyone else's. After: custom assistants trained on your brand voice, your clients, and your offers.
Brand voice training so every AI output sounds like you. Knowledge base setup with your products, services, clients, and processes. Prompt engineering tuned for on-brand, on-target outputs. Data curation and quality review.
Before: manual tasks your team is too busy to fix. After: systems running automatically, fully documented so they run without us.
Internal tools launched and connected. Team training (2 sessions). Prompt library delivered. 30-day optimization support. Everything documented so it runs without us.
Common automations we build
Common questions
What AI tools do you work with?
Writing and content: Claude Projects, ChatGPT custom GPTs. Research: Perplexity, Claude. Automation: n8n, Make, Zapier. Image: Midjourney, DALL-E. Video: Descript, Runway. Productivity: Notion AI, Fireflies, Otter.ai. We use what fits your workflow and what your team will actually adopt.
How is this different from just using ChatGPT?
ChatGPT out of the box knows nothing about your business. Our process trains custom assistants on your brand voice, products, services, client profiles, and processes. The output sounds like you and knows your business from day one.
Does my team need to be technical to use the tools?
No. Every system is built for non-technical teams. We run two training sessions, leave full documentation, and build dashboards simple enough for anyone to use.
What if we already use some AI tools but they're not connected?
That's the most common starting point. We audit what you have, identify gaps, connect what's worth keeping, and replace what isn't. You don't need a clean slate — you need a plan.
Can you build customer-facing AI tools (chatbots, support assistants)?
Yes. Customer-facing tools are scoped separately based on complexity. Mention it when we talk and we'll include it in the proposal.
Ready to build the
machine?
Book a discovery call. We'll audit your current workflow and show you exactly where AI creates the most leverage.
Book a Discovery Call