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Dry Ground AI Setup Guide
Dry Ground AI builds AI-native companies. They optimize the process first (Lean Six Sigma), then embed adaptive, agentic systems across departments—so AI disappears into the work instead of becoming another unused SaaS login.
Best for mid-market operators, executives, and teams that have outgrown duct-tape workflows and want measurable 90-day outcomes—not slide decks. Start with a consultation via partners.dryground.ai/skowers.
Book Dry Ground View Tool ListingWhat Dry Ground Is (And What Gap It Closes)
Roughly 90% of companies plan to adopt AI, but only about 5% become AI-native—and that top group captures outsized revenue and cost gains. Dry Ground positions clients in that group by refusing the common failure mode: bolting AI onto broken processes.
- Process first: Lean Six Sigma optimization before any model or agent goes live.
- Adaptive: systems mold to how your team already works—not the reverse.
- Agentic: digital teammates that take initiative, use tools, and finish workflows.
- Ambient: the goal is AI that disappears into daily work instead of another dashboard.
Services Map — Pick Your Entry Point
AI Consulting
Assess operations, rank highest-impact AI opportunities, and build a practical roadmap with hands-on implementation—not advisory theater.
AI Velocity
Embed AI department by department in 90-day outcome cycles. Six tiers from pilot to full enterprise transformation, always tied to business metrics.
Adaptive AI Management
After deployment, keep systems monitored, optimized, and evolving so agents do not decay into shelfware.
Custom AI Solutions
Voice agents, multi-agent swarms, custom models, and application builds tailored to your workflows and systems.
Products On The Dry Ground Stack
- CompanyClaw — your company's AI operator. A private, autonomous operator for executives and department leaders. It runs calendars, triages inbox, generates briefings, manages workflows, and takes action across the business—built on OpenClaw and the Dry Ground Stack.
- Nexa — the AI consultant's platform. Design, architect, and deliver AI solutions with engagement precision closer to top-tier firms.
- Dry Ground Stack — CORTEX, SENTINEL, CONVERGE. The AI factory underneath deployments, designed for sovereign infrastructure you control—not shared endpoints exposing client data.
How To Get Started
- Book a consultation through the Skowers partner link—no pitch theater; map opportunities first.
- Bring one painful workflow (inbox ops, tickets, inventory, order-to-cash) with clear baseline metrics.
- Let the team run Lean Six Sigma process diagnosis before any agent is specified.
- Choose AI Velocity tier for a 90-day outcome cycle, or pilot CompanyClaw for executive operator workflows.
- Define success metrics up front: cycle time, cost avoidance, CSAT/NPS, ticket volume, revenue lift.
What Good Looks Like (Benchmark Outcomes)
- 20–50% efficiency gains from less manual work across departments.
- 10–35% customer satisfaction lift with more consistent experiences.
- 10–20% revenue growth from better opportunities and channel optimization.
- Real case patterns: supply-chain cost avoidance, regulatory agent swarms, voice AI absorbing call volume, self-healing process mining.
90-Day Rollout Playbook
Days 1–14 — Diagnose & prioritize. Map the value stream, find friction and handoffs, pick one high-ROI workflow, and lock baseline KPIs. Decide data sovereignty needs early.
Days 15–45 — Design & build. Optimize the process, then introduce agents/actions (CRM, inbox, ops systems). Validate with simulation or supervised runs before full autonomy.
Days 46–75 — Launch with humans in the loop. Go live on a contained queue or department. Measure containment, cycle-time, error rates, and operator trust weekly.
Days 76–90 — Expand & manage. Add the next department, tighten prompts/policies from real failures, and hand ongoing care to Adaptive AI Management so systems keep evolving.
Clickthrough Links
How To Evaluate Fit
- Confirm they start with process diagnosis—not a prompt library bolted onto chaos.
- Ask which 90-day metrics they will own and how Adaptive AI Management continues after launch.
- If you need an executive operator first, pilot CompanyClaw against real inbox/calendar load for two weeks.
- Validate sovereignty requirements: dedicated infrastructure vs shared endpoints for your data class.
- Compare engagement cost to the cost of inaction—manual capacity, churn, and delayed AI maturity.