Operator-Led Businesses

AI Systems, Forward-Deployed

I work with founders, operators, and owner-led businesses to map the real workflow, find the bottlenecks, and deploy AI systems that survive contact with operations: messy data, brittle tools, human approvals, edge cases included.

Book a Call
Four ways to work together ↓

Is this the problem?

diagnostic
A tangled knot of black and red thread unspooling into a single straight red line
01

You know AI can help, but your operations are a tangled mess. Which workflow do you untangle first?

Scattered torn-paper icons for a spreadsheet, chat, folder, and note, loosely stitched together by a red thread
02

Your operation runs on spreadsheets, SaaS tools, inboxes, Slack, and tribal knowledge. None of it is AI-ready.

An arrow shattering into fragments at the moment it crosses a ground line, marked by a red impact point
03

You've tried the tools and watched the demos, but they shatter on impact with your daily operations.

A torii gate with a single red dot resting at the threshold
04

You cannot let AI near customers, money, or production without gated controls and human approval.

The Deployment Loop

framework
The Deployment Loop Six phases on a timeline from Week 0 to Day 14+: Discovery, Scoping, Embedded Sprint, Evals, Handoff, Expansion. Each phase produces a named artifact. Sprint, Evals, and Handoff happen embedded on site, and Expansion's Next-Sprint Roadmap starts the next Discovery. EMBEDDED · ON SITE the roadmap starts the next Discovery Discovery WEEK 0 WORKFLOW BOTTLENECK MAP Scoping WEEK 0.5 IMPLEMENTATION CONTRACT Embedded Sprint WEEKS 1-2 PROTOTYPE + GOLDEN DATASET Evals DAYS 8-10 EVAL SCORECARD Handoff DAYS 11-12 RUNBOOK + DASHBOARD Expansion DAY 14+ NEXT-SPRINT ROADMAP
  1. Discovery Week 0
    Workflow Bottleneck Map
  2. Scoping Week 0.5
    Implementation Contract
  3. Embedded Sprint Weeks 1-2 · on site
    Prototype + Golden Dataset
  4. Evals Days 8-10 · on site
    Eval Scorecard
  5. Handoff Days 11-12 · on site
    Runbook + Dashboard
  6. Expansion Day 14+
    Next-Sprint Roadmap

↺ the roadmap starts the next Discovery

Every deployment ships with State-machine agentsPermission-aware retrievalGolden-dataset evalsHuman approval gatesFull tracingNo new silos

Why Ben

Operator judgment. Builder execution.

I understand the operation, build the system, and stay through validation.

Real operations

I operate five short-term rentals across three countries: 4.95 stars across 423 reviews. The systems touch real guests, revenue, and daily operations.

View Stay Ikigai

Production builder

I built TurnkeyHost to run reservations, guest messaging, cleaning, and operating data across the portfolio. I maintain what I ship.

View TurnkeyHost

Complex delivery

Staff TPM at Meta, ex-Apple. I led consumer hardware from prototype to mass production across design, engineering, supply chain, and nine factory cities.

View resume

Measured results

I directed a five-facility ERP rollout that reduced net inventory 31% in seven months. Injester cut agent-facing content 81% and improved task completion 3 to 5x.

Operations proofProduct proof

Three first-place builds in 2026. View the hackathon builds.

WAYS TO WORK TOGETHER

Forward Deployment Options

Start with a call, diagnose the system remotely, bring Ben onsite to map the real workflow, or move into a deployment sprint once the problem is clear.

The Operator Call

$399

30 minutes

  • Private call with Ben
  • One decision, workflow, or system bottleneck
  • Best for founders and operators who need a fast tactical read
  • Leave with the clearest next move
Book the Call

Payment due before the call

Remote Systems Deep Dive

$2,500

90 minute working session

  • Pre-read of docs, workflow, repo, architecture, or data schema
  • Diagnosis of failure and leverage points
  • Recommended AI, agent, or automation build path
  • Written follow-up with next steps
Request a Deep Dive

Includes pre-read and written follow-up

Enterprise Onsite Assessment

$7,500

1 onsite day · 2 days $12,500

  • Stakeholder interviews and workflow shadowing
  • Systems and data inventory with KPI baseline
  • Revenue, cost, or throughput value map
  • Written assessment, pilot recommendation, and SOW outline
Request Onsite Assessment

Travel scoped separately

Forward Deployment Sprint

Starts at $30,000

2-week embedded deployment

  • One narrowly scoped operational workflow
  • Working prototype or production-ready build spec
  • Golden dataset, eval scorecard, and human approval gates
  • Runbook, handoff, and next-sprint roadmap
Apply for a Sprint

Assessment fee applied when Sprint starts within 30 days

Not sure which option fits? Start with the Operator Call or . Onsite assessments are fixed at one or two days. When a Sprint starts within 30 days, the assessment fee is applied to it. Travel is separate.

Deployments start with ground truth.

Before We Start

fit, access, outputs
What do we leave with?

You leave with a workflow map, failure points, success metric, and build path. Depending on scope, that may include a prototype, golden dataset, eval scorecard, runbook, or production system.

Is this advisory or implementation?

Both. The Operator Call and Deep Dive diagnose the workflow and define the build path. A Sprint moves into implementation, validation, and handoff.

What do you need from our team?

One accountable owner, access to the real workflow and systems, and time with the people who run it. The data can be messy, but it must be inspectable.

Will this work with our existing stack?

Usually. I start with the systems you already use and add only what the workflow requires. The goal is a working system, not another silo.

What is not a fit?

Generic AI strategy, vendor shopping, or projects without a real workflow, accountable owner, and measurable outcome.

Start Here

Bring one workflow that needs to work.

Book the Operator Call for one focused decision. Request a Deep Dive when the workflow spans multiple systems, data sources, or teams.

Book a Call · $399 Request a Deep Dive · $2,500