Find the story · Build the system · Improve the business

The revenue is already in your data. The diagnostic finds it.

Three Dials helps founders, CEOs, and operators surface the revenue opportunity inside their data, cut the manual work, and build practical systems that make the business easier to run. Twenty-five years inside the rooms where getting it wrong wasn't an option.

See a sample diagnostic
Three Dials
01 Find the story Diagnostic
02 Build the system Implementation
03 Improve the business Advisory
Built inside the rooms where getting it wrong wasn't an option
The Wall Street Journal MarketWatch Dow Jones Major League Soccer Sports Illustrated TheStreet PRO The Arena Group

What I kept seeing

Smart teams. Real data. And decisions that were harder than they needed to be.

Not because people weren't capable. Because the revenue opportunity inside the data wasn't visible, and nobody had built the right system to surface it. That's the problem I built Three Dials to solve.

What we build

Tools, data solutions, and AI workflows that fit how you operate.

Tools

Built around how you actually run.

Custom internal tools that match how your business actually runs. Sometimes that's a dashboard. Sometimes it's an email at 7am or a Slack alert at the right moment. We build the thing that gets used.

Data solutions

Reporting that tells the real story.

Layers that surface pipeline health, retention signals, and growth rhythms - not vanity metrics that sit unread. The format follows the decision being made: dashboard, weekly email, alert, or scheduled briefing. Whatever fits how you actually work.

AI workflows

Hours of manual work, replaced.

Production automations that take repetitive analysis, reporting, and operational tasks off your team's plate. Built on n8n, Claude, and your existing stack. Owned by you, fully documented, extensible by your engineers.

How we work together

Three engagements. All of them ship something.

Also

AI automation builds for teams that need the workflow shipped.

Dedicated engagements for teams that need a focused AI workflow build - n8n agent systems, Claude pipelines, MCP integrations - separate from the diagnostic-led work above.

trigger classify summarize route weekly revenue brief

Three Dials also builds

The systems we recommend are the ones we run ourselves.

Three Dials runs three production products. The architectures we recommend to clients are the same ones we use in-house - which is why they hold up under real load.

Pressflow

Content publishing automation, end to end.

BuildScore

Build readiness diagnostics for engineering orgs.

Sitemark Trials

Structured experiments for clinical growth.

Case study · Composite

How a B2B subscription business found $420k of revenue already in its data.

  • IndustryB2B SaaS
  • StagePost Series A
  • ARR$9M
  • Engagement2-week diagnostic
  1. 01 · The signal

    Net retention was eroding faster than the dashboard showed.

    The CEO suspected churn was understating the real problem. Expansion was flat. The weekly operating review kept landing on the same three numbers, none of which were the right ones. The data was there. The story wasn't.

  2. 02 · The diagnostic

    Two weeks inside the data and the operating rhythm.

    We mapped the revenue stack end to end, instrumented churn cohorts against product usage, and sat in on the customer success standup. By day five we had the cohort view that the existing reporting couldn't produce. By day ten we had three quick wins ready to ship.

  3. 03 · What shipped

    Three production systems by the end of week two.

    • A weekly retention-risk brief delivered to the founders' inbox at 7am Monday.
    • Slack alerts for expansion signals, fired at the moment a CSM could act on them.
    • A one-page operating summary that replaced the dashboard nobody was opening.
  4. 04 · The outcome

    The numbers the team was already paying for, finally surfaced.

    The diagnostic ended on day fourteen. The systems stayed. The CEO took the cohort model into the next board meeting. The CRO rebuilt the expansion playbook around the alerts. None of this was new data. It was data that had finally been put in front of someone who could act on it.

$420k
modeled retention and expansion opportunity surfaced
14 days
from kickoff to working insight in production
3 systems
shipped during the diagnostic, owned by the client

Composite case. Numbers and details combined from multiple engagements; identifying specifics changed.

Closing the visibility gap

The revenue is already in your data.
The diagnostic finds it.