Pain Point Before Using Giga

Capital.com faced a critical scalability problem: millions of leads were not being called. Expanding a human sales team to cover this volume was not commercially viable, leaving huge revenue potential untapped. We needed a way to adopt AI to scale faster and more efficiently than human teams, while still maintaining quality engagement.

Why We Chose GigaML Over Other Vendors

• Multiple external vendors: tested but fell short on agent quality, customization, or scalability.

• Internal build attempts: explored in-house solutions, but resourcing and time-to-market were prohibitive.

Solutions Tried Before GigaML

• Multiple external vendors: tested but fell short on agent quality, customization, or scalability.

• Internal build attempts: explored in-house solutions, but resourcing and time-to-market were prohibitive.

What Has Made This Pilot Successful

Tangible Commercial Results

• $323K+ in deposits generated in 2 months.

• High double-digit first-time deposits closed, with 77% coming from registered clients.

• One standout case: a client contacted just 1 week after registration went on to verify, deposit, and generate $50k in deposits.

Engagement Metrics

• 16,133 total calls made, with a 35% pickup rate.

• 10% transfer-to-agent rate – strong engagement, with room for optimization in handoff efficiency.

• 5,673 answered calls with an average connected duration of 62 seconds.

Scalable Roadmap Ahead

• 4 new AI agent use cases planned for Q4.

• Ongoing integrations with data systems, CRM, and Tableau for KPI tracking and real-time sales officer support.

“At Capital.com, we were faced with a massive challenge: millions of leads left uncalled because scaling a human sales team to cover that volume was simply not commercially viable. We knew AI adoption was key to scaling efficiently, and Giga has delivered.

What stood out was not just the technology, but the visibility of the dashboard and the strong partnership built from the very start – especially during onboarding. We had tried multiple vendors and even considered building internally, but GigaML was the clear choice.

The results speak for themselves: over $323K in deposits and 61 first-time deposits generated within the pilot. These results underscore the importance of speed and scale in lead outreach.

This pilot has proven that scaling with AI is not just possible, but commercially impactful. We’re confident that with Giga, we can continue to unlock growth at a pace that humans alone could never achieve.”