The Signal Network, running.
This is what your team sees. Agents watch the market, do the research, and draft the work. A person approves every action.
Eight screens, signal to measure.
The same platform runs every deployment. Only the signals, the packs, and the output change from team to team.
Start the day with what is ready.
The overview shows what is ready to act on, what is due this week, and what the week has produced so far. Nobody has to go looking.
Work arrives in order of urgency.
Every account in the queue is scored, sourced, and tied to a deadline. The queue decides what comes first, not the loudest request in the channel.
Something happened. The agents caught it.
Standing monitors watch every named account: regulatory change, executive moves, mergers, hiring. Findings arrive structured, with a score, before anyone has to search for them.
Every fact carries a source.
Open any signal to see what happened, why it scored the way it did, where it came from, and a verified decision-maker. Unsourced never reaches a draft.
Each step is its own agent.
Research, conflict check, enrichment, drafting, and review each run as a separate agent with its own permissions and its own log. The chain halts at any failed step.
Nothing sends without a person.
Drafts are assembled from your approved templates and the sourced facts of the trigger. A person approves, edits, rejects, or sends feedback. No setting turns the gate off.
The plan keeps itself current.
Champion strength, buying group, competition, paper process, and the next action. The plan updates as new signals arrive, instead of dying in a document.
Every action on the record.
Every signal, draft, approval, and suppression is logged with its time and its result. Export it whenever you want.
Inside your systems, on your keys.
Mabry holds no credentials to your systems. Access is granted by you and revocable by you.
Four rules it never breaks.
It watches your market, researches what it finds under rules a compliance team would sign off on, drafts in your language, and hands your people finished work to approve. The platform never reads your systems. Nothing is hand-scored. Nothing sends without a person.
A person approves everything.
Nothing reaches your CRM or a mailbox without someone on your team clicking approve. That rule lives in the platform, not in a policy. No setting turns it off.
It writes to your CRM. It cannot read it.
The connection creates records and notes. It cannot look at anything already there. We hold no credential to your systems; approved work is handed to your workspace to write.
Evidence or it doesn't exist.
Every fact carries a source and a date. A job posting is not a funded project. A budget line is not a purchase. Unsourced never reaches a draft. Nothing is scored by hand.
Everything on the record.
Every action is logged and you can export the log. When we part ways, your data is destroyed and we put it in writing.
Governance isn't a policy we ask you to trust. It's how the platform is built. Your security team can see it.
One agent, one job. That's the whole trick.
Most "AI for sales" is one giant model doing everything, impossible to test or trust. We build narrow agents: one task, bounded permissions, its own log. Failures visible, fixes local. Select a layer.
Sense
Standing monitors watch every named account around the clock.
Decide & Act
A scheduled orchestration run dispatches one agent per task.
Remember
Shared databases are the system's durable memory and dedupe wall.
Govern
Hard rules and a human gate sit between the system and the world.
Standing monitors run continuously on every named account, watching for regulatory and competitive pressure and for buying signals: leadership changes, launches, funding, public commitments. Findings post into per-account threads in the team's own workspace, timestamped and sourced.
On a fixed cadence, an orchestration run picks up every new finding and dispatches it through the agent chain: triage, research, conflict check, enrichment, drafting, self-review. One agent per task, each consuming the previous agent's verified output. The chain halts at any failed step, and runs are idempotent: executed twice, nothing double-fires.
A shared data layer (companies, contacts, a triggers log, an outreach log) is the system's durable memory. Every automation reads it before acting and writes back after. Contact caps and one-thread-per-company rules are enforced in data, and the same ledger doubles as the audit trail.
Hard rules are compiled into every agent's instructions, and a human gate sits at the boundary: nothing reaches a prospect without a person's click. No invented facts, verified work emails only, and a post-run review pass that corrects and logs violations.
A sample of the agents we deploy.
Illustrative, not exhaustive: the diagnostic decides the roster. Every build gets the agents its failure patterns demand: forecast agents, hygiene agents, renewal-risk agents, enablement agents, and ones that don't have names yet because your motion hasn't been audited yet. Each is scoped exactly like these: one job, bounded permissions, its own log.
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 AUTHORITYWhy this beats a mega-agent: a narrow agent can be tested against its one job, given only the permissions that job needs, and replaced without touching the rest. Runs are idempotent: executed twice, nothing double-fires. That is the difference between automation you demo and automation you deploy.
Same pattern, pointed at the work marketing and compliance own.
Everything above is the go-to-market engine. The architecture underneath it is portable: signals, one agent per task, a ledger, a human gate. Point it at a marketing team's own workload, or a compliance team's, and the same machine runs. Tap a signal in either console to watch it.
Forecast accuracy isn't a spreadsheet problem. It's a seams problem.
Pipeline is where the pain shows up, not where it starts. Every handoff between systems and teams is a seam where revenue leaks. The operating layer stitches the seams. Walk the funnel.
Content, landing pages, campaigns: presence in the places buyers actually look.
Activity nobody connects to revenue. Content ships into the void, campaigns run on the calendar instead of the market, and no one can say what actually starts conversations.
- Signal agents read the market the way buyers experience it. Plays trigger on live events, not on a content calendar
- Every asset's downstream touches are written to the ledger, so attribution starts at the first impression, not at the form fill
Which content and which plays actually source conversations.
Content, landing pages, campaigns: presence in the places buyers actually look.
Activity nobody connects to revenue. Content ships into the void, campaigns run on the calendar instead of the market, and no one can say what actually starts conversations.
- Signal agents read the market the way buyers experience it. Plays trigger on live events, not on a content calendar
- Every asset's downstream touches are written to the ledger, so attribution starts at the first impression, not at the form fill
Which content and which plays actually source conversations.
A visitor becomes a lead: forms, replies, hand-raises, intent.
Replies sit unactioned for weeks. Intent alerts burn enrichment spend on bad fits. Leads land in the CRM with no owner and no clock.
- Inbound surfaced and routed the day it arrives, with source and owner written to the ledger
- Triage agents filter intent against the ICP before a single enrichment credit is spent
Response time, and the true capture-to-first-touch rate.
Fit and behavior say this is worth a look: the marketing-qualified line.
Scoring rules nobody trusts, MQLs handed over and quietly ignored, and no definition of 'qualified' that marketing and sales both signed.
- Triage agents score on fit and urgency against rules that are written down and inspectable
- Routing enforced in data: an ignored MQL resurfaces instead of dying in a queue
An MQL acceptance rate both teams actually believe.
Sales accepts: a real conversation about a real problem.
The handoff. Context dies between systems, follow-up depends on rep memory, and qualification is vibes dressed as process.
- The research agent's context pack travels with the lead. Nobody starts a first call blind
- Qualification runs against a documented standard; the conflict agent keeps threads deduped across teams
SQL conversion with reasons logged, not reconstructed.
An active engagement: stakeholders, process, mutual plan.
Single-threaded deals, ghost opportunities still in the forecast, stages advanced on optimism instead of evidence.
- Deal-risk agents flag missing personas and stalled motion every morning
- Meeting-prep agents brief before every conversation; hygiene passes force re-qualify or close
Pipeline that is real, and known to be real.
Paper, procurement, signature.
Quarter-end surprises: the paper process discovered in the final two weeks, the economic buyer met at the eleventh hour.
- Close plans built backward from the signature date, months out
- Qualification lives as a shared artifact the whole team updates; at-risk flags fire before risk becomes urgent
A forecast leadership can commit to without flinching.
Renewal, cross-sell, growth: the revenue you already earned once.
Renewals defended late, expansion started later, and usage signals nobody is watching until the churn call.
- Renewal-risk flags on engagement gaps: days since progress, missing exec touches
- Signal-triggered expansion plays; account plans that update from live data instead of quarterly heroics
Net revenue retention with causes attached.
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.