Automation for the teams closest to the customer
Sales and customer-service teams spend much of their time on cross-system lookups, status updates, and form filling — work that has nothing to do with the customer conversation itself. Primo deployments handle that supporting work so agents and reps spend more time on what only a person can do.
Handle time isn't about agent skill — it's about how many systems an agent has to open.
Customer-facing teams operate in a fragmented system landscape: CRM, ERP, billing, OMS, WMS, payment gateways, ticketing, knowledge bases. Resolving even a simple customer issue often requires pulling context from four or five of these, then updating two or three on the way back. Most of the agent's time goes to navigation, not judgment.
The same pattern shows up in sales: quote preparation requires data from product catalogues, pricing tools, contract repositories, and credit systems. Onboarding a new customer requires data movement across CRM, billing, fulfillment, and compliance systems. Each of these steps is well-defined, but the cumulative time across all of them stretches the cycle.
Primo deployments in sales and service run inside the customer environment, with the same access to CRM, ERP, and supporting systems as the agents themselves. See deployment architecture →
Typical workflows we automate in sales and customer service
Each pattern below is a recurring scenario across our customer-facing deployments. The focus here is what gets automated and how — typical outcomes across all patterns are aggregated in the section below.
- 01
Customer onboarding across systems
Bringing on a new customer — corporate, retail, or B2B — typically requires data movement across CRM, billing, fulfillment, credit, and compliance. Each system needs the same identity and account data but pulls it on a different schedule.
What Primo automates
- Reading new-customer data from CRM, web, or partner channels
- Identity, account, and credit setup across CRM, billing, and ERP
- Compliance checks (KYC where applicable, sanctions, internal watchlists)
- Onboarding-task assignment to sales, service, and fulfillment queues
- Status tracking and exception flagging for incomplete records
- 02
Quote-to-cash workflow support
Preparing a quote, getting it approved, converting it to an order, billing it, and posting the cash all touch different systems with different approval chains. The slow points are usually data assembly and inter-system handoffs, not the decisions themselves.
What Primo automates
- Quote data pull from product catalogue, pricing tools, and customer history
- Approval routing through configured workflow with full context attached
- Conversion of approved quotes to orders across CRM and ERP
- Invoice and billing handoff with reconciliation to revenue and AR systems
- Status visibility back to sales, finance, and customer-facing teams
- 03
Service request routing and resolution
A service-request agent resolving a single ticket may need to check order status in OMS, inventory in WMS, payment in the gateway, shipping in the carrier portal, and account history in CRM. Most of that lookup is mechanical and well-defined, but every system added stretches handle time.
What Primo automates
- Inbound ticket classification across email, chat, voice, and contact-form channels
- Cross-system data lookup for order, payment, shipping, and account context
- Drafting of standard responses for high-volume categories
- Routing to specialist queues for complex issues, with full context attached
- Status updates back to customers and into CRM
- 04
Returns and customer compensation
Returns and goodwill compensation cases require validation against the original transaction, condition or eligibility assessment, refund or credit decisions, and posting to several systems. Each step lives in a different platform, and the rules vary by channel, product category, and customer segment.
What Primo automates
- Return or compensation intake from web, agent, and carrier channels
- Validation against original order, payment, and policy rules
- Refund, credit, or replacement decisioning with exception routing
- Posting to inventory, finance, and customer-record systems
- Returns and compensation analytics back to merchandising and service teams
- 05
Customer status updates and proactive outreach
Customer-facing teams spend a meaningful share of their day pushing status updates outbound — order status, service progress, billing changes, contract renewals. Most of this is data already in the systems; the work is getting it to the customer through the right channel at the right time.
What Primo automates
- Triggered outreach based on order, service, or billing events
- Cross-system data assembly for outbound messages
- Channel routing across email, SMS, app notifications, and portal updates
- Tracking of delivery, opens, and follow-up actions
- Reporting back to service and account-management teams
What sales and service teams typically see
Aggregated ranges based on industry RPA benchmarks for customer-facing operations and Primo's deployments across enterprise sales, contact-centre, and customer-service teams. For customer-attested numbers from individual deployments, see customer stories →
Reduction in handle time on customer-service tickets
After cross-system lookup is automated. Depends on ticket mix.
Faster quote-to-order conversion
Across configuration, approval, and posting.
Throughput on returns and compensation cases
Per case, comparing automated routing to manual workflow.
Reduction in cost-per-interaction in service operations
For automated workflows across triage, lookup, and outbound updates.
Ranges synthesized from industry analyst research and published RPA benchmarks for sales and customer-service operations. Individual deployment results depend on baseline maturity, process scope, and integration complexity.
Sales and service deployments typically integrate with CRM (Salesforce, MS Dynamics, internal), ERP and billing systems, OMS, WMS, and fulfillment platforms, contact-centre and ticketing tools, and customer-facing channels (portals, mobile apps, marketplaces).
Built on Orchestrator·Robot·AI Server. For deployment topology and integration patterns across CRM and customer-facing systems, see architecture.