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The intelligence layer

Voice in. Signals out.

Your reps already see the signals — the competitor pressure, the expansion hint, the buyer who just left, the account that went quiet. The intelligence layer is what catches all of it from a 30-second voice note and turns it into revenue you can act on this week, not next quarter.

Voice transcript · 0:34 · Marcus J.

"Just left Hendricks. Brent heard Samsara pricing again — third time this month. He also mentioned they're looking at a third location in OKC for Q3. New fleet manager — Kelly Reed — replacing the GM. Wheel paint complaint from one of their drivers. Need to send the fleet rate sheet by Friday."

Six signals extracted · ranked · routed
Competitor
Samsara — 3rd mention / 30d at Hendricks
Urgent
Expansion
3rd location, OKC — Q3 timeline
Action
People
Kelly Reed → new GM at Hendricks
Action
At-Risk
Wheel paint complaint — driver-level frustration
Watch
Product
Fleet rate sheet — send by Friday
Action
AI Pattern
4th account this week mentioning fleet cost pressure
Pattern
The cost of a missed signal

Your reps already see them. You're seeing them three months late.

By the time most signals make it to your dashboard, they've already cost you a deal. The intelligence layer exists to close that gap — from voice note to actionable signal in the same week the conversation happened.

Pattern 01

The competitor was in the account in March. You found out in June.

A buyer mentions a competitor rep was just there. The rep nods, drives to the next stop. The pricing pressure builds for ninety days before it shows up in your bookings — by which point your renewal conversation is already a defensive one.

90 days · average lag from first mention to leadership visibility
Pattern 02

The expansion hint went to whoever called back first.

A customer mentions they're opening a second location. The rep means to flag it. It doesn't make it into the CRM. Three weeks later, the materials package gets quoted by a competitor your team didn't even know was in the conversation.

1 in 3 · expansion mentions that never reach the deal team
Pattern 03

The at-risk account went quiet, and nobody noticed.

The reorder is forty-two days late. Their typical cycle is twenty-one. The rep's last visit note said they were "evaluating options." Nobody put those three facts together — until the cancellation email arrived.

$87K · representative annual value of one stalled account
The six signals

Six things your reps hear every week. All of them, now visible.

Every signal type maps to a revenue moment your team is already aware of — and currently losing because the moment never makes it past the rep's truck. Each one is captured, ranked, attributed back to a voice note, and routed to whoever can act on it.

Competitor

Catch competitive pressure the week it shows up.

Every time a rep hears a competitor's name in an account, the mention is captured and ranked by recency and frequency. You see pressure building across the territory in real time — and respond on the next quote, not the next renewal.

Example "Komatsu pricing aggressive at Henderson Gravel — 3rd mention this month. Routed to pricing team + account exec."
Expansion

Turn passing comments into pipeline.

Buyers mention growth in conversation constantly — second location, second shift, new contract. Each one is sized, tagged, and routed to the team that can quote it the same day — before a competitor's rep hears the same comment on their next visit.

Example "Tilton Concrete — landed Hwy 41 expansion, adding 2nd shift. $200K fleet maintenance opp. Routed to inside sales."
People

Know the day a buyer changes — not the day the renewal goes sideways.

When a contact leaves, your relationship resets. Voze catches every personnel change the moment the rep hears it, surfaces the new contact's role and background, and flags accounts where the relationship needs to be rebuilt.

Example "Mike Torres → new fleet mgr at Regional Paving. Replacing Dave (retired). Came from a Cat dealer."
Product

Capture demand with the SKU, the timing, and the context.

Product interest shows up in passing — a budget mention, a spec question, a sample request. Each one gets tagged with the right SKU, the right timing, and the rep's voice context, so inside sales has everything they need to quote without a follow-up call.

Example "Henderson Gravel — loader purchase Q3. Model interest: E50. Operator preference confirmed. Quote due Friday."
At-Risk

Catch silent churn risk before it's a cancellation email.

At-risk signals come from two places at once: what reps hear (frustration, complaints, "evaluating options") and what Voze detects (reorder cycle lapses, visit gaps, account quiet time). Together they surface accounts weeks before they leave — while you still have time to send a manager.

Example "Bauer Construction — no reorder in 42 days. Typical cycle 21. Last note: 'evaluating options.' $87K annual."
AI Pattern

See what no single rep would ever see.

Some signals only exist when you look across the whole territory. When four accounts mention the same competitor in a week, or three regions show the same price pressure, Voze surfaces it as a category-level signal — not buried in fourteen separate voice notes nobody had time to read.

Example "4 accounts mentioned fleet cost pressure this week. Cross-rep pattern. Surfaced to leadership."
AI Patterns

The signals no single rep would ever see.

Most signals come from one rep, one account, one moment. AI Patterns are different — they only exist when you look across the whole territory, the whole week, the whole product line. They're the signals your reps physically can't produce on their own, no matter how good they are.

  • Cross-account themes — four customers mention the same competitor in a week. One mention is anecdotal. Four is a category-level signal worth a pricing conversation.
  • Trend detection — three regions show the same buyer concern. Inside one note it sounds like a one-off. Across the territory, it's a product or supply issue you can act on.
  • Silent-account detection — accounts that have gone quiet against their own normal pattern, not against a generic threshold. Bauer's 21-day reorder cycle is different from Henderson's 60-day one. The model knows the difference.
  • Evidence on every claim — every AI Pattern shows you the underlying notes that produced it. You can defend it in a leadership review without "the AI said so."
Active patterns · this week
AI Pattern
4 accts
Fleet cost pressure mentioned in Henderson, Tilton, Premier, Bauer over the last 7 days. Category-level pricing conversation worth surfacing to leadership.
3 reps
Komatsu aggressive pricing reported by Marcus, Sarah, and Kyle across the Southeast and Central territories. Recommend pricing team review by Friday.
7 accts
Reorder cycle drift across the parts portfolio — 7 accounts past their typical reorder window. Combined annual exposure: $412K.
2 regions
Operator preference shift — Northeast and Central reps both reporting customers asking about E50 specifically over the past 14 days. Demand signal worth aligning inventory to.
Every pattern links back to the source notes that produced it
No black boxes

Every signal is defendable in a leadership review.

"The AI flagged it" doesn't survive a board meeting. The intelligence layer is built so every signal — and every pattern across signals — traces back to the rep, the account, the date, and the voice note that produced it.

01 · Source attribution

Every signal links to the voice note that produced it.

Click any signal and you see the original capture — the rep, the timestamp, the account, the 30 seconds of audio, and the transcript. You can defend the call to a customer, a board member, or a regulator.

02 · Confidence on every flag

Urgent, Action, Watch, Pattern — each one is a calibration claim.

An Urgent flag means we're confident enough that delay costs the deal. A Watch flag means we're not. The action layer is a separate quality metric from classification — and we publish how often each flag is right.

03 · Tuned to your vertical

The same model. The signal weights, tuned per industry.

A spec-change signal in HVAC distribution doesn't carry the same revenue weight as a retread cycle in commercial tires. Voze weights each signal type to how revenue actually moves in your industry — calibrated with your team, not assumed.

What it feeds

One brain. Three surfaces.

The intelligence layer isn't a separate product you buy. It's the shared brain underneath everything Voze does — the same model feeding the rep's day, the manager's dashboard, and the systems your team already runs on.

Voze Pro · Mobile

Reps see their day already organized.

The pre-visit brief, the auto-extracted tasks, the account history — all of it is the intelligence layer working before the rep ever opens the app. Reps don't think about signals. They just notice the day got easier.

See Voze Pro
Voze Web · Desktop

Managers see signals routed and ranked.

The live territory feed, the at-risk accounts, the coaching prompts, the AI Patterns no single rep would see — every surface in Voze Web is fed by the same intelligence layer, surfaced before your first coffee.

See Voze Web
Your DMS & ERP

Your existing systems stay current automatically.

Account updates, contact changes, tasks, and signals flow into Karmak, CDK, MaddenCo, Procede, Eclipse, P21, NetSuite, and NDS — without your reps logging into a second system. Native connectors plus Zapier for everything else.

See integrations
FAQ

Questions a decision maker should ask.

How is this different from a CRM that's added AI features?
A CRM with AI bolted on still requires reps to log activity for the AI to have anything to work with. The intelligence layer starts upstream — at the voice note the rep was already going to give. Nothing for the rep to type, nothing for the manager to chase. Adoption isn't a change-management project, it's the rep noticing the day got easier.
Does the model actually understand our industry's jargon?
Yes. The model is trained on industrial field-sales speech specifically — Karmak part numbers, fitment codes, fleet rate conversations, demo-unit logistics, contractor spec changes. When you onboard, we calibrate the signal weights to your vertical alongside your sales leadership, so a spec change in HVAC carries the right weight versus a retread cycle in commercial tires.
What happens when a signal is wrong?
Three things. One, the user can dismiss it directly in the feed — that dismissal becomes training data for that account and that signal type. Two, action-flag accuracy is tracked separately from classification accuracy — if Urgent flags are wrong more than a set threshold, we surface it as a quality issue before reps lose trust. Three, every signal links back to the source voice note, so the rep or manager can always see what produced it and judge for themselves.
Do we own our data?
Yes. Your voice notes, transcripts, accounts, contacts, signals, and patterns are your data. Voze is the system of record's enrichment layer — your DMS and ERP remain your systems of record. You can export everything in CSV or via API at any time, and contractually we don't use your data to train models for other customers.
How does Voze handle security and compliance?
SOC 2 controls, SSO via your identity provider, data residency in the US, and role-based access at the account, territory, and rep level. Voice notes are encrypted in transit and at rest. We'll share the full security packet during the technical review portion of your evaluation.
How fast do reps trust the signal flags?
Most reps trust the Action and Watch flags within the first two weeks because every flag links back to their own voice note — there's no "the AI said so" surprise. The Urgent flag takes longer because we hold it to a higher accuracy bar; we'd rather Urgent stay rare and meaningful than common and ignored. Adoption typically passes 80% by week 6 across multi-branch rollouts.
What does a technical evaluation look like?
A 30-minute platform demo, followed by a technical deep-dive (45 minutes with your IT, security, or RevOps lead) covering integrations, data flow, security controls, and signal calibration. We bring sample signal output sized to your verticals, and we don't ask you to fill out a security questionnaire blind — our SOC 2 packet and standard responses get you 80% of the way there.
Intelligence layer · Demo

See the signals. Defend the calls.

A 30-minute demo with sample signal output sized to your verticals — Competitor, Expansion, People, Product, At-Risk, AI Pattern. Then a technical walkthrough with your IT or RevOps lead if you want one.

No credit card · 30-min call · We come prepared