People for the moments that matter.
Give complex conversations the judgment, empathy and ownership they need.
- Resolve a disputed charge
- Help a frustrated customer
- Handle a difficult exception
For businesses outgrowing their customer service
Customer Service.Rebuilt.
Human expertise.AI efficiency.One seamless experience.
Give customers a clear answer without adding more complexity to your team. Prime Ad Solutions connects human agents, AI, voice, chat and email in one managed operation.
Example interaction
Incoming
Chatnow
Orchestration
- 1
Intent detected
Order status
- 2
Request classified
Routine · order lookup
- 3
Resource selected
AI agent
Resolution
AI resolves immediately
Working…
- CRM updated—
- Client dashboard—
Start with the work, not another hire
Keep your people focused.
Give routine work a faster route.
When every request reaches the same queue, simple questions compete with customers who need real help. Build the operation around the work each interaction requires.
AI for the requests that repeat.
Handle familiar questions through connected workflows, with a clear path to a person.
- Check an order’s status
- Confirm an appointment
- Answer a common question
Try the operating model
Choose a request. See who handles it.
Routine questions move to AI. Sensitive conversations reach people with the context they need. Select an example below to follow the handoff.
AI agent
Immediate, consistent, always on. Full system access to look up, book, verify and update.
AI or human, by complexity
AI starts, collects context and resolves what it can. Anything disputed or unusual hands off with the transcript attached.
Human agent
Judgment, empathy and authority. Receives the customer, the history and a recommended next action.
Order status. Resolved immediately with order-system access.
See How the Conversation Stays ConnectedOne customer, one conversation
They shouldn't have to explain it again.
Phone.Chat.Email.SMS.
One customer history.One continuous conversation.
Sarah is your customer. When she switches from phone to chat, the agent sees the whole story — order, prior contact, history — before saying hello.
Phone · MondayMon 10:14
Where is my order?
three days later
Chat · ThursdayThu 18:02
I received it, but something is missing.
Agent view
Waiting- Previous conversation—
- Current issue—
- Previous interactions—
- Customer since—
- CRM—
Close the gaps in your coverage
24/7 support.
Without automatically building a 24/7 payroll.
Instead of automatically staffing an entire night shift for occasional demand, the operating model combines AI coverage with human escalation based on actual contact volume.
After hours
00:000006121824
Daytime
- Human agents + AI
After hours
- 01AI first response
- 02Resolve appropriate requests
- 03Capture information
- 04Schedule follow-up
- 05Escalate urgent or complex requests
Contact volume across a typical 24 hours. Night demand is real, but rarely enough to justify a full shift.
Before your next hire
Before you hire another support team.
Everything an internal team requires you to own — against what a managed operation absorbs.
In-houseYou own
- Recruitment
- Payroll
- HR
- Training
- Supervision
- QA
- Scheduling
- Software
- Turnover
- Coverage planning
- After-hours staffing
Every line is a manager’s week: hiring against turnover, building rotas around coverage gaps, buying and administering tooling, and still staffing the night shift for a handful of calls.
Managed CXWe operate
- Operating partner
- Flexible staffing
- AI automation
- Human agents
- QA
- Reporting
- Management
- 24/7 options
- Scalable capacity
One operating partner, one number, one dashboard. Capacity moves with demand. AI takes the repetitive share. People stay on the conversations that need them.
Make it specific to your business
What should your customer service actually cost?
Start with three inputs below. See an indicative monthly comparison, then carry your numbers into the full analysis. You can review the assumptions before sharing your details.
Preliminary comparison · USD · defaults for everything else
Current model / month
$39k
8 agents · 50 h/week covered
Managed Human + AI / month
$22k
8 agents + AI · 168 h/week covered
- Monthly contacts8,300
- AI-handled volume35%
- Coverage gap today118 h/week
- Indicative difference−$17k / month
Refine My Cost Analysis
Full version: 18 inputs, 7 currencies, assumptions shown. No savings are guaranteed.
Industries
Customer service changes by industry.
So should the operation behind it.
01E-commerceOrders, returns & fulfillment
- Orders.
- Returns.
- Refunds.
- Delivery questions.
- Peak-season volume.
02HospitalityReservations & guest service
- Reservations.
- Guest requests.
- Changes.
- Upsells.
- 24/7 inquiries.
03SaaSProduct support & technical escalation
- Product questions.
- Billing.
- Technical escalation.
- Retention.
- Tiered support.
04HealthcarePatient coordination & scheduling
- Patients.
- Appointments.
- Eligibility.
- Coordination.
- Documentation.
05Home ServicesCalls, booking & dispatch
- Inbound leads.
- Qualification.
- Scheduling.
- Dispatch.
- Missed calls.
06Real EstateLeads, tenants & property communication
- Property inquiries.
- Leads.
- Tenants.
- Viewing requests.
- Maintenance.
07MarketplacesBuyers, sellers & disputes
- Buyers.
- Sellers.
- Transactions.
- Disputes.
- Trust.
08TravelBookings, changes & disruptions
- Bookings.
- Changes.
- Cancellations.
- Disruptions.
- 24/7 assistance.
09Financial ServicesVerification & sensitive interactions
- Accounts.
- Verification.
- Service requests.
- Escalation.
- Sensitive interactions.
10Restaurants / Food DeliveryOrders, delivery issues & peaks
- Orders.
- Delivery issues.
- Refunds.
- Reservations.
- High-volume peaks.
How it works
A clear path from first conversation to launch.
- 01
Understand
We map contact volume, channels, customer journeys, service requirements and operational constraints.
- 02
Design
We determine the right combination of humans, AI, automation, routing and escalation.
- 03
Launch
We deploy agents, workflows, integrations, QA and reporting.
- 04
Optimize
We continuously analyze conversations, costs, QA results, demand and customer behavior.
Let’s build the right operation for your customers.
Bring your contact volumes, coverage gaps or cost analysis. We’ll discuss where people add value, where AI can help, and what a managed model could look like for your business.