Services / AI Automation
AI agents that replace the routine work.
Analytics, marketing, ads, reporting, data ops — the work that eats your week without moving the business. We train agents on how your company actually runs, then ship systems that handle it without you.
Scope an automation →Generic AI doesn't understand your business. That's why most pilots die.
You connect ChatGPT to your tools. It hallucinates your pricing, misreads your customers, can't tell a real signal from noise in your data. Two weeks later it's a tab no one opens.
The fix isn't a smarter model — it's better context. An agent that knows your products, your funnel, your numbers, your edge cases. Trained on the specifics of your operation before it touches a single workflow.
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01
Analytics & reporting
Weekly digests pulled from GA4, Stripe, your CRM, your ad accounts. Written like a human analyst, delivered to your inbox or Slack. No more "let me check the dashboard."
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02
Marketing & ads ops
Creative briefs, ad copy variants, audience builds, campaign QA, performance reviews. The repetitive work that swallows a marketer's day, handled before they open the laptop.
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03
Data work
Lead enrichment, list cleaning, deduplication, classification, summarization. The unsexy data plumbing that quietly costs you 10 hours a week.
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04
Internal copilots
Custom AI tools trained on your knowledge base. Research, document drafting, intelligent search, decision support — for the team, not for the public.
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05
Workflow automations
End-to-end flows wiring your tools together. Lead arrives → enriched → routed → notified → followed up — without anyone touching it.
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06
On-premise confidential mode
For firms that can't let data leave the building. We build stationary agents that run on your own hardware, inside your office network. No cloud, no API exfiltration, full audit log.
Before we build, the agent learns your business.
This is what most automation work skips — and it's why most automations don't survive contact with reality. An agent without context is a confident intern with full keyboard access.
We run a 2–4 week training window before any code ships:
- Voice-noting kit (rented). We ship your team voice recorders. As people work, they narrate what they're doing and why — short notes, in the moment. We transcribe and feed it into the agent's context.
- On-site immersion (optional). For complex operations, the founder can come on-site and spend time inside your office — watching how the work actually happens, where AI fits natively, where it would break.
- Process & data review. We sit with your team, walk your tools, read your docs, study your numbers. The agent's training data is the real operating manual of your business.
The deliverable from this phase isn't code — it's a context dossier. The agent we build after is calibrated to your actual operation, not a generic template.
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Step 01
Audit
30-min call. We identify the routine work bleeding the most hours and the highest-leverage place to start. If automation doesn't pay back, we tell you.
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Step 02
Training
2–4 weeks. Voice-noting kit deployed, on-site time scheduled if needed, process documentation gathered. We build the context the agent will run on.
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Step 03
Build
Agent and workflows built on your infrastructure — your accounts, your data, your hosting (or on-prem hardware if that's the mode). You own it from day one.
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Step 04
Ship & handover
Live with monitoring, escalation paths, recorded walkthroughs. We stay on call 30 days while it settles into real usage.
We pick from the tools that work, not the ones with the biggest marketing budgets.
Do we own the agent or rent it from you?
What does the on-premise / confidential mode actually mean?
Why the voice-noting training period — can't AI just read our docs?
Do you do voice agents (calling, booking)?
What does it cost to run after launch?
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