A board mandate meets a skeptical security team.
An illustrative playbook, drawn from how the architecture behaves in this kind of motion. Not a client case study.
The board wants agentic AI in the revenue organization this year. Security and legal, reasonably, want to know exactly what touches customer data, what can act autonomously, and who is accountable.
A transformation the board can underwrite and security can approve: one motion at a time, no autonomy setting to change, and a governance architecture that survives review.
- Agentic Readiness Assessment & phased roadmap
- Governance & human-in-the-loop architecture
- One-motion Transformation Build in production
- Executive reporting against revenue outcomes
Signal → Route → Act → Measure.
In plain terms: agents watch for the events that matter (Signal), decide who should act on each one (Route), do the work with a human making every send (Act), and log what happened so results are traceable (Measure). The same framework runs every engagement.
One agent, one job.
Every build gets the agents its failure patterns demand. Each is scoped the same way: one task, bounded permissions, its own log. The person is the only sender.
Watches one account's market surface: regulatory pressure on one monitor, buying signals on a second. Posts findings to the account's thread. Nothing else.
SCOPE: READ-ONLY · ONE ACCOUNTScores each finding for urgency and fit, and routes it to the owning rep with context. Decides priority, never content.
SCOPE: SCORE & ROUTE ONLYBuilds the context pack for one trigger: what happened, why it matters to this account, what angle is credible.
SCOPE: ONE TRIGGER PER RUNChecks the shared ledger before anyone is touched: ownership, current-customer status, open threads, and suppression, from the lists your team supplies. It never reads your CRM.
SCOPE: BLOCK OR CLEAR · NO OUTREACHResolves one verified contact, cross-checked against more than one source. Verified work emails only: a pattern guess is a failed run, not a fallback.
SCOPE: VERIFY OR DISCARDWrites one email per contact, each from a different angle, in the team's voice. No invented facts, no unsourced claims. References only if true in the record.
SCOPE: DRAFT ONLY · CANNOT SENDRe-reads the run's own output before delivery: checks the rules held, corrects what didn't, logs what it changed.
SCOPE: SELF-AUDIT PASSThe only sender in the system. Every draft arrives as a click-to-send package: review, edit, send, or discard. The click belongs to a person, always.
SCOPE: FINAL AUTHORITYBuilt to pass the meeting after the demo.
For regulated and enterprise buyers, the deployment model is the product. Five facts, in plain language.
Your workspace, your tokens.
The work arrives in your own AI workspace, and anything that touches your systems runs there, on your own connectors. We never hold a credential to any of your systems. None exists.
The Mabry engine, one interface.
The engine runs on our side. It reads public sources and the lists you give us at setup, then delivers finished work (signals, drafts, account plans) through a single scoped connection. Your conversations never leave your workspace; we can't read them.
A human approves everything.
Nothing reaches your CRM or a mailbox without someone on your team clicking approve. Enforced in the system, not by policy.
You hold every key.
Access is granted by you and revocable by you: two switches, both on your side. Your data was never anywhere else to begin with.
Every playbook on this site is illustrative: drawn from how the architecture behaves, not from a client engagement. Names, figures and sequences are representative.
Bring us the motion that matters most.
In one working session, we'll show you what it looks like rebuilt, signal to measure, before you spend a dollar. If we're not the right fit, we'll tell you on the first call.