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Your reps are working a list.
Your market is sending signals.

Maestro watches for the moments that make an account worth a call, scores them, routes them to an owner, and drafts the outreach against what actually happened.

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sales_agents.py — magnetiz
STATUS: RUNNING EVALS: PASSING
Ln 1, Col 1

What sales leaders are
actually dealing with

The forecast you can’t trust.

01

The CRM blows it up

Outdated close dates, stalled deals, and last-minute updates. The number changes and nobody can say which deals moved it.

02

Reps are feeding it, not selling

More of the week goes to admin, data entry, and CRM upkeep than to the customer.

03

Coverage that is really air

A deal you spent nine months on resets when the champion leaves. People and priorities change mid-sale.

The sales agents

Signals in, scored, routed to an owner with the context attached.

signal_to_pipeline/ — magnetiz
1
01_Capture.py </>

Visitors identified, hiring activity, leadership changes, funding, product usage, and what your accounts say on earnings calls.

2
02_Enrich.py </>

Deduplicated against your records, filled from a provider waterfall, verified before anything gets used.

3
03_Score.py </>

A 100-point model across title fit, company fit, signal strength, and engagement. High scores route to outreach, middle to nurture, the rest stay monitored.

4
04_Execute.py </>

Account summaries, outbound drafted against the triggering signal, meeting prep, proposals. Every send clears an eval gate first.

STATUS: READY ROUTING: 3 tiers
4 modules loaded

Two days of research becomes a half-hour review

Mapping one account ran an estimated twelve to twenty hours, so nobody mapped whole accounts. Four signals now hand a clean-energy analytics team finished research on every project, with a named contact and a drafted email.

4

Signals watching public buying triggers, unattended

30 min

Human time per account, reviewing finished research

12-20 hrs

Estimated manual research now handled unattended

You don’t pay in full unless
the work takes less time.

The target is decided before we build. You verify it in your own systems.

Kickoff to production in 30 days.

The same path on every Maestro engagement.

kickoff_runbook/ — magnetiz
1
01_Map.py </>

The workflow carrying the most manual load gets timed end to end, and the target outcome is defined in numbers your team already tracks.

2
02_Build.py </>

Built inside the systems you already own, with an evaluation gate on every step. Nothing reaches a customer without clearing it.

3
03_Ship.py </>

First workflow in production within 30 days of kickoff. It runs supervised first and earns autonomy on real work.

4
04_Transfer.py </>

Documentation, the runbook, and training where the work happens. A named owner on your side runs it.

STATUS: READY MILESTONE: DAY 30
4 steps loaded

See if Maestro fits

terminal — magnetiz
magnetiz.ai  $ 
STATUS: READY MODE: maestro
awaiting input...

Thirty minutes. You tell us where the time goes, we tell you if we can help.

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