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AI Automation · Six Sigma Process Improvement

Define. Refine. Execute.

Ottoflow brings Six Sigma process improvement to small business. We baseline the process first, build the AI automations that remove the busywork, and prove the gain with before-and-after numbers.

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Free 20-minute call, no pitch deck Fixed-scope builds, no retainers required Measured with Six Sigma rigor

Works seamlessly with your stack

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Automation that compounds into operating leverage

Purpose-built systems for the workflows that consume payroll hours — capacity grows, headcount doesn't.

Custom Workflow Automation

Automate repetitive tasks and connect your tools with powerful, tailored n8n workflows — no templates, no guesswork.

AI Chatbots & Agents

Deploy smart chatbots and AI agents that handle support, replies, and tasks — fully integrated with your stack.

AI Data Processing & Reporting

Clean, analyze, and summarize your data automatically, with reports delivered straight to your inbox.

Lead Gen & CRM Automation

Automate lead management, CRM updates, and follow-ups to keep your pipeline flowing effortlessly.

Real builds, measured results

Three production systems, with the before-and-after numbers a diligence team would ask for. Client names withheld.

Voice agent · Home services

After-hours calls, answered and booked

3× more jobs booked overnight

A voice agent that qualifies, checks live availability, and books — after-hours jobs went from 5 to 15–17 a month.

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Operations agents · Freight

Check calls and quotes, off the brokers' desks

600 → 90 check-call hours a month

Track-and-trace plus instant quoting cut response time from 45 minutes to under 5 — and lifted win rate 8–12%.

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Back-office agents · Accounting

Document chasing that runs itself

Month-end close: 11 days → 6

An escalating document chaser and history-based reconciliation cut chase hours from 190 to 35 a month.

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The DMAIC method

How we turn guesswork into a number

Every engagement follows DMAIC — the five-step Six Sigma cycle for measurable process improvement — applied to your website and operations.

Step 1 · Define

Define what quality actually means

Before touching anything, we pin down the outcome you care about and the Critical-to-Quality checkpoints that decide it — so improvement is measured, not assumed.

  • Map the process and where value leaks out
  • Agree the Critical-to-Quality checkpoints
  • Establish the baseline and the target
  • Scope the work to what moves the number
Critical-to-Quality checklist
🔒 Locked

Illustration of a Critical-to-Quality checklist with the checkpoint names hidden.

Illustrative structure — your figures are revealed live on the call.

Frequently asked questions

Straight answers about how we measure, build, and price the work.

What is a good sigma level for a website?

Around 3 sigma is typical for a small-business website. 4 sigma is strong, 5 sigma or above is best-in-class, and 6 sigma means roughly 3.4 defects per million opportunities. Below 2 sigma indicates fundamental quality problems that are usually suppressing conversions.

How is a website sigma level calculated?

The number of failed checkpoints is divided by the number of applicable checkpoints to give a defect rate, which is scaled to defects per million opportunities (DPMO). That DPMO is converted to a sigma level using the standard inverse-normal formula with the conventional 1.5 sigma long-term shift, so 3.4 DPMO equals 6 sigma.

What does DPMO mean?

DPMO stands for defects per million opportunities. It is the defect rate scaled to a million chances to fail, which makes quality comparable between websites of very different sizes.

What does Ottoflow do?

Ottoflow is an AI automation and Six Sigma process improvement company for small businesses. We measure website and operational quality as a defect rate, then build the automations that remove those defects at the source — custom workflow automation, AI agents, reporting, and CRM and lead-generation automation.

Reclaim your time with automation

Book a free 20-minute call and we'll map the automations that return the most hours — starting from a measured baseline, not a guess.