Most AI projects fail because they're bolted onto broken workflows. We map your operations first, redesign what's slowing you down, then deploy agents on the parts that are ready.
For operators, founders, or CXOs looking to have the agentic era measured so outcomes can be owned.
Take 30 minutes to help your business enter the agentic era.
You run a department in a $10M-$500M company with agents already running across your team: vendor, shadow, internal. You can't tell leadership what they cost or whether they're safe. You've been through one vendor disappointment, you have authority on a six-figure spend, and you're done buying tools that need a translator.
30-300 people, post-Series-A, pre-PE. Your founder is still close enough to feel a $1M decision personally. The org is small enough that one trusted operator compounds across marketing, ops, and engineering without org-chart friction. Workflows codified by reflex; ICP definitions still soft.
CEO, COO, CMO, or VP of Data Ops with a board meeting on the calendar. Teams have prototyped with prompts, accumulated vendor agents, and produced no measurable ROI. The next budget cycle has to answer for it. You need a CFO-defensible AI narrative and a CISO-approvable agent layer underneath it.
Operator, founder, or executive: the question is the same. What are agents actually worth to your P&L? Give us 15 minutes and we will show you where the seven figures hide.
15 min Ask us how to save 7 figures →Anyone can build an agent. We build the house it works for.
Every agent action carries a policy check. Approval rails, redaction rules, and audit trails by default.
Per-agent, per-task, per-dollar accounting. You see what each agent did, what it cost, and what it produced.
Outcomes, not tasks per hour. Agents priced on credits consumed against ROI delivered. No shelf-ware.
New outcomes, same payroll.
Process before prompts. Always.
Map → Build → Operate. One operator. One audit trail.
An agent only ships if it pays for itself. We size that upside before you leave scoping, never as a multi-year projection.
Four engagements. Four industries. One pattern.
Three engagement shapes. Each ladders to the next. The container is what we leave behind. Never the door you walk through.
Stakeholder alignment, agent-sprawl mapping, security and compliance discovery, first workflow build. ROI hypothesis identified by Day 30.
Fixed-fee. You leave scoping with the upside mapped and the build already paid for.
Start the Map →Workflows live in production on an extensible layer you own. Governance and observability instrumented, your team trained to run it. Ladders from Map.
Most run $125K–$250K. A fraction of the ROI we map.
Scope a Build →Continuous tuning, expansion across functions, custom build vs. buy decisions, leave-behind ownership of AgentHouse.
Scales with the resources and deliverables you need each month.
Continue with Cloon →Software stays behind, not a bill. Every engagement leaves you with a governed agent layer your team owns, not a vendor you're locked into.
Already had the Map call, or coming in on a referral? Message us on LinkedIn or email info@cloon.consulting.
Talk to us →Andrew Medearis. Fractional COO & Agentic Operator. Embeds in your operations, finds where agents create undeniable ROI, and builds them. 4+ years agentic development.
10+ years cybersecurity. Founding team at the first macOS-native security agent. Your CISO doesn't need a translator.
The person you meet is the person who builds. No off-shore. No junior consultants. No team handoffs.
Three most recent field notes from the LinkedIn calendar. Auto-pulled, never stale.
Three speeds are running through every company right now. Developers want to move at the pace of Claude Code. Business units want to move at the pace of vision. CISOs want to move at the pace of safety…
Read essay → 4 min readSoftware can be copied. Hyperscalers will ship governance tools. Open source will keep evolving. The moat is translation: decades of CI/CD, data ops, and security expertise delivered in the language of ROI…
Read essay → 5 min readAI fails on top of broken systems. We fix your operations first, then add agents where the economics are undeniable. Here's the three-step diagnostic we ran with an industrial customer this quarter…
Read essay → 6 min readSpend 30 minutes with the founder. Walk away knowing what to fix, what to automate, and what to leave alone.
Compliance, day 0. Wired into the orchestrator. Agents are excellent at audit-trail authorship. Humans are the only thing that can sign data-governance policy. We bake the first into the orchestrator's response and put a name next to the second.
