AngelHQ Case Study · Outbound Sales & Customer Service

How an AI intelligence layer transformed a 500+ account outbound sales operation.

A multi-state wholesale distributor of consumer products ran an entirely outbound motion — five SDRs making 40–60 calls a day to win new stores and protect reorders. The velocity worked, but the business was running blind. AngelHQ unified its CRM, order/e-commerce platform, and team-messaging app into one intelligence layer driving daily decisions.

The Challenge — Running Blind

  • No real-time visibility — the weekly review cost the manager 8–10 hours and was still backward-looking.
  • No rep feedback — five reps, 40–60 calls/day, bad habits forming with no one catching them.
  • Generic, late follow-up emails — templates unused and untailored; deals cooled.
  • Static scripts in a market where regulations shifted weekly.
What the blind spot hid: only 44% of 506 accounts had ordered YTD (56% lapsed), 66% in decline at 221 days dormant, $869K of revenue sitting in the top 15 at-risk accounts, and 78% of revenue from a single rep.

The Solution — Five Workflows, One Library

The principle behind every workflow: delegate the repetitive, menial work to the platform so people focus on what needs a human.

01

Live Dashboard

Rep activity, deal type & revenue, daily — in real time.

02

Weekly Briefing

Portfolio health & actions, auto-generated in minutes.

03

Daily Coaching

Per-rep report on real calls, by the next morning.

04

Email & Intel

Call-specific emails + market signals from every call.

05

Follow-Up

Samples tracked, at-risk accounts flagged automatically.

How AngelHQ did it: the hard part of AI is integrating your data — AngelHQ's specialty — into one reliable source of truth. From there it runs on your data (no hallucinations), in your voice, human-approved, and AngelHQ keeps these workflows running continuously, not you.

Measurable Outcomes

10 hrs → 45 min
weekly management review
Next morning
coaching (was 5–7 days)
$869K
at-risk revenue made visible
62
at-risk accounts flagged / month
Minutes
to a call-specific email
MetricBeforeAfter
Weekly review8–10 hrs30–45 min
Coaching feedback5–7 days (if any)Next morning
At-risk visibilityManual, ad hocAuto daily flag
MetricBeforeAfter
Follow-up emailsGeneric, lateOn-voice, in minutes
Script updatesMonthly at bestWeekly + daily micro
Base healthUnknownKnown daily

What Stands Out — AngelHQ Discovers What Works

Most tools report what happened. AngelHQ discovers why it worked — your patterns, your voice, your winning moves — then puts them to work across the team.

Coaching compounds

Winning lines discovered & shared team-wide as updated scripts.

Your patterns & voice

Angel learns what works — in your voice — and keeps sharpening it.

Beyond “opened?”

Not just open rates — the patterns of success behind what converts.

Note-taker

Follow-ups from the call + customer history in minutes, not 10–20.

Service that acts

Not just at-risk alerts — it builds the win-back plan with you.

Who Benefited

Manager

A day of weekly data assembly → a 45-min strategy session. Coaching daily, not weekly.

SDRs

Specific feedback on their own calls by morning; email & admin handled — energy goes to the conversation.

New reps

Instant library + proven scripts; bad habits caught early. Ramp accelerated.

The business

At-risk accounts caught before churn; campaigns from real signal; same headcount, more coverage.

The weekly analysis would take me a day — cutting into my weekends. Now I have the time to review it over my fresh brew of tea.— Sales Director

AngelHQ doesn't replace the people — it removes the redundancies. Let AngelHQ do your work, while you focus on where it counts. Delegate the menial tasks, focus on what matters, more productivity, less time — a better version of everyone's workday, and a measurably healthier business.

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Case study anonymized for external use. Company name, individuals, products, brands, locations, and industry detail have been generalized; metrics reflect the documented engagement and are illustrative of the outcomes described.  ·  © 2026 AngelHQ.ai