Morgan is HieCOR's Revenue Growth AI. Every day, Morgan reads your real customer data — purchase history, service records, engagement patterns, and campaign response history — and surfaces the customers most ready to hear from you, what to say, and when to say it. Review requests at the right moment. Winback campaigns that feel personal. Service reminders that convert.
What Morgan Does
Morgan works across the full customer revenue lifecycle — from the review request after the first visit through the winback campaign 18 months later.
Morgan analyzes your historical review response data by job type, customer segment, and send time — and sends each request at the timing that generates the most responses for that specific customer type.
Morgan identifies customers approaching their historical repeat purchase interval and surfaces them as ranked outreach opportunities.
When your team needs to send a campaign, Morgan drafts the copy from the customer's actual equipment and purchase context — not a generic template.
Morgan monitors your customer database for customers who have gone quiet — past their historical purchase interval — and surfaces them as winback opportunities ranked by lifetime value.
Morgan checks every completed job for unresolved tickets, open disputes, complaint history, and partial payments before triggering a review request.
Morgan tracks which review requests converted to reviews, which reminders resulted in booked jobs, which outreach resulted in sales.
Morgan in Action
Morgan reads the full customer intelligence record — purchase history, service visits, lifetime value, engagement signals, and preferred contact channel — and uses all of it to surface the right outreach at the right time. Every message Morgan drafts is built from what this specific customer has actually done.
A Day With Morgan
Morgan works alongside your sales, service, and marketing teams — finding and acting on revenue opportunities every day.
Daily revenue opportunity brief
Morgan surfaces today's revenue actions: 8 customers due for repeat purchase outreach, 3 service reminder campaigns ready to fire, 12 post-service review requests queued with optimal timing, and 2 customers flagged for winback after 14 months of silence.
Your team starts the day with specific, ranked actions — not a blank marketing calendar.
Review request qualification
Last night's service completions produced 14 eligible review request candidates. Morgan checks each one. 11 pass. 3 are held — one has an unresolved service issue, one an open invoice dispute, one made a partial payment.
11 review requests fire at AI-optimized timing. 3 customers go to the service manager first.
Winback campaign draft
A Smartlist of 47 customers who haven't returned in 13+ months is ready. Morgan groups them by product category and drafts a segment-specific message for each group with the customer's last purchase referenced.
Marketing team reviews 3 draft messages. Campaign approved and launched in under 20 minutes.
Service reminder fire
90 days after installation, 23 HVAC customers cross the filter check threshold. Morgan drafts personalized messages with each customer's model and installation date.
23 personalized service reminders sent. 7 customers reply to book within 48 hours.
Commercial reorder signal
A commercial account orders industrial cleaning equipment every 11 weeks. It's been 10 weeks. Morgan surfaces the account and a draft reorder message.
Account manager sends the message. Client confirms the reorder by end of day.
Where Morgan Works
Morgan connects to every customer touchpoint where revenue opportunity exists.
Review Requests
Morgan manages the full review request workflow — qualification, timing, delivery, reply monitoring, and performance tracking.
Explore Review Requests →Service Reminders
Morgan fires service reminder campaigns from real service events and tracks which reminders convert to booked jobs.
Explore Service Reminders →Marketing Automation
Morgan is the AI engine behind marketing campaigns — drafting copy from real context and optimizing send timing.
Explore Marketing Automation →CRM & Smartlists
Morgan reads the full customer CRM record to rank and time every outreach opportunity.
Explore CRM & Smartlists →Customer Follow-Up
Morgan triggers post-sale follow-up workflows — review requests, warranty reminders, and repeat purchase signals — automatically.
Explore Customer Follow-Up →Reporting & Analytics
Morgan's revenue attribution data feeds the growth reporting dashboard.
Explore Reporting & Analytics →FAQ
Does Morgan send messages automatically?
No. Morgan prepares recommendations, drafts messages, and queues campaigns — but every outgoing message requires team review and approval before it sends.
How does Morgan optimize review request timing?
Morgan analyzes your historical review response data by job type, customer segment, time of day, and day of the week — and sends each request at the timing that has historically generated the most responses for that specific customer type.
How does Morgan identify customers ready for winback?
Morgan monitors the full customer database and flags customers past their historical purchase interval without re-engaging — ranked by lifetime value with a personalized outreach recommendation.
What context does Morgan use when drafting campaign messages?
Morgan reads the customer's name, most recent purchase, equipment brand and model, service or delivery date, and prior communication history — drafting a message that feels personal rather than generic.
How does Morgan qualify customers before review requests?
Morgan checks every completed job for unresolved service tickets, open disputes, complaint history in recent messages, and partial payment status. Only customers with confirmed positive completions receive the review request.
Can Morgan help with commercial account retention?
Yes. Morgan tracks commercial account reorder patterns and flags accounts approaching their historical reorder window — with the prior order context included in the drafted outreach.
Most businesses who go through a HieCOR demo immediately see where Morgan would change their daily workflow — and how many tasks currently falling through the cracks would get handled automatically.
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See how all 7 AI employees create measurable value across the business.
No commitment required · US-based implementation team · Average onboarding: 45 days