**Spent a bunch of time and money on AI with no results?

Or just curious, want to try some ideas you have but not burn a hole in your pocket?**

Pain Point

As you likely know, most AI pilots tend to fail for a variety of reasons. The most common reason is that they’re inadequately staffed, or worse, have leadership who is either already task-saturated or simply not the right mix of AI exposure with domain and functional expertise critical to your organization.

Pod Composition

Role Focus
Fractional Executive Owns the outcome, experienced leader in your vertical domain and function.
Agentic AI / LLM developers Responsible for implementing workflows and integrations using tools such as Zapier, N8N, etc., and integrating with your data sources.
Full-stack expert Deeply familiar with either the LAMP stack, Microsoft stack, Lo-code/no-code tools, etc.

How the Pod Works

Day 0–10 Discovery, establishing objectives and deliverables.

Day 11–30 Implementation starts, deliver quick wins.

Day 31–60 Established patterns and infrastructure to churn out more automations.

KPI Lift

Pre-Pod 60-day mark
Manual processes, Day dreams of automation Productivity gains ≥ 20 %
List of possible automation opportunities,Hand-wringing Automation factory in place

ROI Snapshot

Annual cost for you to allocate internal engineers X 2: > $60K per quarter

AI Pod cost (1 fractional leader, 2 engineers): $45K per quarter

Risk free offer: Deploy our Agentic AI Pod for 1 quarter:

Automation Highlights