Myosin · Revenue EngineeringStart with the audit
Revenue Engineering — Forward-Deployed
The state layer beside your CRM · Myosin
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YOUR CRM SHOWS WHO YOU'RE TALKING TO. NOT WHO'S READY TO BUY.
Stage: 3 · Proposal
Last touched: 41 days ago
Score: 72
Next step: —
Lifecycle: MQL
Owner: typed once
Symptom 01 / 06 · Forecast
"OUR CRM DOESN'T REFLECT REALITY."
Symptom 02 / 06 · Adoption
"WE HAVE INTENT SIGNALS BUT SALES DOESN'T USE THEM."
Symptom 03 / 06 · Automation
"WE BOUGHT AN AI SDR AND IT DIDN'T WORK."
Symptom 04 / 06 · Trust
"OUR REPS DON'T TRUST THE SCORING."
Symptom 05 / 06 · Attribution
"TONS OF ACTIVITY. NO IDEA WHAT'S DRIVING PIPELINE."
Symptom 06 / 06 · Alignment
"SALES AND MARKETING HAVE DIFFERENT DEFINITIONS OF QUALIFIED."
Six sentences. One cause.
Why it happens / 03
01
A CRM HOLDS CURRENT STATE.

Who we are talking to, which deal is open, what needs scheduling. It stores what a salesperson typed once. The market moves whether or not anyone updates the field.

02
ENRICHMENT MADE POTENTIAL STATE CHEAP.

You can now load every company you could sell to, with people, sites and filings, for almost nothing. A CRM was never built to hold thousands of accounts nobody has spoken to.

03
AI BOLTED ON TOP OF THE GAP FAILS.

An agent that cannot tell which accounts changed sends more of the same. Reps ignored scores they could not inspect. Buyers recognized the mail.

0to0%AI SDR churn, 2026
NOT A NEW CRM.
Yours stays. Your team keeps working where they already work.
NOT ANOTHER TOOL.
You have enough. Most of what you need is already in your stack.
NOT AN AI SDR.
Machines watch and prepare. People decide and send.
NOT A DECK.
We build it with your team and leave it with them, documented.
The state layer
A LAYER BESIDE
YOUR CRM.
It knows what is true about every account, notices change, and hands your team the next action. Built by revenue engineers embedded with you for ninety days. Yours after that.
The state layer
THE STATE LAYER, LIVE.
01 · Know everyone you could sell toEvery account you could sell to, loaded and enriched: people, sites, filings, the signals that matter in your industry. Hover any account.

Your CRM

Open deals 2
Next step Founder
Next step AE
Owned accounts 4
Next step AM
Stages (reporting)

The state layer 3,218 accounts

Cold2,904
Aware212
Researching41
In conversation9
Customer38
Dormant14

Your channels

Warm intros
Content + proof
Site + ads
Your sender
What you get / 06
FIVE PARTS. ALL OF THEM STAY WITH YOU.
01
THE STATE MODEL

Every account in a defined state, with evidence, not a stage a rep picked.

You getThe state map and the rules that move an account.
02
SIGNALS THAT MATTER

Hires, funding, site visits, replies, product usage. Stacked and tiered, suppression first.

You getThe signal list and the tiers.
03
RULES YOU OWN

What happens when, who acts, what never gets automated. Plain English, signed by the revenue leader.

You getThe rulebook.
04
ACTION WITH GUARDRAILS

The right person or agent for each move. Approval flows. Human-only sending where it matters. Warm paths before anything cold.

You getThe channel and approval map.
05
MEASUREMENT AND LEARNING

Which states predict revenue, which actions cause movement, fed back into the rules every month.

You getThe baseline and the learnings log.
The arc / 07
NINETY DAYS EMBEDDED. THEN IT RUNS.
Weeks 1 to 4
AUDIT AND DESIGN
  • The six-question audit, on your data
  • Account states and rules, with your sellers
  • What we build first
Weeks 5 to 10
BUILD AND WIRE
  • The state layer beside your CRM
  • Change detection on site and market
  • Rules live, human gate on every send
Weeks 11 to 13, then monthly
RUN AND HAND OVER
  • Your operator runs the weekly cycle
  • Documentation, recordings, maintenance guide
  • Optional: we stay to tune the rules
A FORWARD-DEPLOYED PAIR. ONE OPERATOR ON YOUR SIDE.

Two of us embedded with your revenue team for the build. One person on your team who runs it every week after, trained while we are still in the building.

The door / 08
START WITH THE AUDIT. NO FEE.

Thirty minutes, six questions, one page back the same week. It ends with the first thing to fix.

  1. 01
    What does your company actually know about its market?
  2. 02
    What can it tell about each account right now?
  3. 03
    What changes can it detect?
  4. 04
    How does it decide what happens next?
  5. 05
    Who acts, a person or a machine?
  6. 06
    Does it learn whether the action worked?

If the one page says your stack is fine, you keep the page and we part as friends. If it does not, you know exactly what to fix first, and who would do it with you.

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