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BankOnUs, a financial comparison and direct-sales platform across the UAE and KSA, managed thousands of outbound credit-card sales calls each day. The team needed faster first contact, consistent lead qualification, and better meeting conversion without adding more agents.
PMaps eVA AI Voice Agents handled initial conversations, checked eligibility, booked document-collection meetings, and passed qualified prospects to human sales teams. Within six weeks, the hybrid AI + human model achieved 1.47× human productivity, a 25% higher meeting booking rate, and a 20% shorter average call duration.
The Challenge — Thousands of Sales Calls, Too Few Qualified Meetings
BankOnUs ran high-volume outbound sales operations for credit-card products across the UAE and KSA. Human agents contacted warm leads, explained suitable cards, checked eligibility, and booked document-collection meetings for the next stage.
The model worked, but it became harder to scale with consistency. Average calls lasted 210 seconds, which limited daily reach. Prospects were also hard to contact at the right moment. Follow-ups were often delayed or missed when call queues grew.
Sales quality varied across agents. Tone, persuasion, and eligibility questions changed from one conversation to another. Many calls ended without a clear disposition, which reduced visibility for sales managers and slowed follow-up planning.
Adding more agents would increase cost without solving these gaps. BankOnUs needed a system that improved speed, consistency, and qualified meeting volume without proportional headcount growth.
The Solution — Automating Outbound Sales with PMaps eVA
BankOnUs deployed PMaps eVA AI Voice Agents to manage the first layer of outbound credit-card sales conversations. The goal was not to replace human agents. It was to create a faster, steadier, and more qualified front end for the sales team.
PMaps eVA was configured for outbound sales conversations across the UAE and KSA, with support for regional Arabic dialects, eligibility checks, and appointment scheduling. It contacted leads quickly, understood customer responses, asked eligibility questions, presented suitable credit-card options, and booked meetings for document collection.
Key Capabilities of PMaps eVA
PMaps eVA supported Arabic dialects used across the UAE and KSA. It checked eligibility before pitching a card, which kept conversations focused. It booked document-collection meetings during the call and called from local Gulf numbers through dialer integration.
Each outcome was recorded automatically. Dispositions moved back into the dialer and CRM, giving human agents better context before follow-up.
How the AI + Human Sales Workflow Worked
The workflow followed five steps. eVA contacted the lead, verified eligibility, booked the meeting, and logged the outcome. Human agents then reviewed transcripts, Q&A history, and intent signals before completing the sale through Emirates ID and salary document collection.
PMaps eVA handled repetitive first outreach. Human agents focused on warmer, higher-value sales conversations.
The Results — 25% Higher Meeting Booking Rate in Six Weeks
PMaps eVA delivered measurable results within six weeks. It handled nearly the same calling volume as human agents, with 4,082 calls compared with 4,200 human-led calls. The pilot data showed that eVA matched human calling volume while improving speed and conversion quality. The clearest gains appeared in call duration and meeting booking performance.
How the AI + Human Model Improved Sales Operations
PMaps eVA handled first-touch calls, eligibility checks, and meeting scheduling, allowing human agents to focus on qualified prospects.
Call outcomes, transcripts, and customer intent signals were recorded in the CRM. Before following up, sales agents could review the conversation history and continue from where eVA left off.
The six-week pilot recorded shorter average calls and a higher meeting booking rate. Together, these results showed how automated outreach could support BankOnUs's human-led sales process without removing agents from critical customer interactions.
The Future — Scaling AI-Powered Sales and Customer Engagement
BankOnUs plans to expand AI-powered operations after the initial eVA pilot. The roadmap includes using AI Voice Agents for 60–70% of outbound calls, with new use cases beyond credit-card sales.
Future areas include automated loan eligibility conversations, KYC support, and document verification. BankOnUs also plans to introduce 24/7 customer engagement across voice, chat, and WhatsApp.
The first implementation gave BankOnUs a tested foundation for broader AI-powered sales and customer engagement. These areas are planned expansions, not reported live capabilities from the pilot.
Could AI Voice Agents Improve Your Outbound Sales Operations?
Similar sales challenges often appear when outbound teams depend on manual first-touch calling. Use these questions to assess whether your current process needs AI-supported engagement:
- Are your sales teams spending too much time on repetitive outbound calls?
- Are missed follow-ups affecting lead engagement and meeting bookings?
- Is inconsistent lead qualification slowing down your sales pipeline?
- Do you need to scale customer outreach without significantly expanding your team?
- Are your sales agents spending more time prospecting than closing?
PMaps eVA helps organizations automate first-touch engagement, qualify prospects, and support human sales teams with structured customer information.
Want More Qualified Meetings Without Expanding Your Sales Team?
BankOnUs used PMaps eVA to book more meetings, shorten average call duration, and build a more productive AI + human sales model. eVA handled first-touch conversations, lead qualification, and meeting scheduling, while human agents focused on qualified prospects.
When first calls decide meeting quality, delays become expensive. Book an eVA demo to see how PMaps AI Voice Agents can qualify leads faster, capture intent clearly, and give your sales team warmer conversations to close.
