Step 1: Know
The SaaS audit maps your stack, what it costs, and what AI changes. You leave with a sequenced plan.
Symptom it solves: You do not know what your stack costs.
What we do: We audit your SaaS stack end to end — every tool, what it costs, what it overlaps, and what AI changes about the need for it.
What you walk away with: A clear map of your stack and a sequenced plan for what to redesign, consolidate, and automate first.
Which costs come down (directional): Redundant and underused SaaS licenses surface immediately — the first line items that come down.
Learn more: /saas-audit/
Step 2: Redesign
AI-native workflow redesign strips the steps that exist to serve tools and designs the work around what AI can see and carry.
Symptom it solves: Your processes are shaped by tool limitations.
What we do: We strip out the steps that exist only to serve your tools and redesign the work around what AI can actually see and carry.
What you walk away with: Workflows designed for outcomes, not for the software — fewer handoffs, fewer manual steps, less swivel-chair work.
Which costs come down (directional): The point tools that only existed to bridge broken handoffs stop earning their seat.
Learn more: /ai-workflow-redesign/
Step 3: Consolidate
The context layer build moves your working data into governed Notion databases, synced with the systems of record that stay.
Symptom it solves: Your data is scattered across ten tools.
What we do: We move your working data into governed Notion databases, synced with the systems of record that stay — one context layer agents can read.
What you walk away with: A single, governed context layer your team and your agents share, instead of data trapped in ten disconnected tools.
Which costs come down (directional): Overlapping databases, document stores, and niche trackers collapse into the context layer.
Learn more: /ai-ready-context-layer-build/
Step 4: Operate
Context-aware Claude agents go to work on top: reading the layer, carrying the busywork, accelerating your team.
Symptom it solves: Your AI pilots demo well and then go nowhere.
What we do: Context-aware Claude agents go to work on top of the layer — reading it, carrying the busywork, and accelerating your team in production, not in a demo.
What you walk away with: Agents that act on your real context and survive contact with production — pilots that ship instead of stalling.
Which costs come down (directional): The manual labor and stopgap automation tools the agents replace come off the books.
Learn more: /run-on-claude/
- Run Your Day on Claude (/run-your-day-on-claude/) — Start at one desk.
- Run Your Business on Claude (/agent-fabric/) — Govern agents across systems.
- Run on Claude (/run-on-claude/) — The full architecture.
An AI operation is not a project that ends. The Connected AI Organization Program runs it for a monthly fee: monitoring, new agents as needs emerge, workflow upkeep, and governance. The program wraps stages 2 through 4 — Redesign, Consolidate, and Operate. Most customers fund it from the SaaS line it retires.