Customer case study

How a Global Fintech Provider Pre-Qualified $1M+ Pipeline Opportunities Autonomously

A payment infrastructure and card issuance company replaced a static contact form with the Docket AI Marketing Agent, turning its highest-intent buyer moments into a self-running qualification engine.
100%
Buyer conversations
37
Pre-qualified leads
32 hrs
Sales time recovered
30 days
Time to results
Company Snapshot

The Team, Motion & Problem

Industry
Financial Technology: Payment Infrastructure & Card Issuance
Company Size
1,600–1,700 employees
Use Case
Replace static form-based inbound with autonomous buyer engagement, discovery, and lead pre-qualification
Key Result
532 buyer conversations · 37 pre-qualified leads · First booked AE meeting in 4 days · 32 hours of sales time recovered, all  in 30 days
The Challenge

High-Intent Buyers Were Hitting a Dead End

The company had an inbound traffic problem that looked, on the surface, like a volume problem. It wasn't. Buyers were arriving with real intent, developers asking about APIs, LATAM operators researching geographic coverage, enterprise prospects explicitly sharing budget ranges between $1M and $2M. They came with real questions.
26% of all website conversations were pricing and demo inquiries. These weren't casual browsers,  they were buyers in active evaluation mode. And what they got was a redirect to a contact form: no answers, no context, no momentum. The highest-intent moment in the buyer journey was the one with the worst response.
"The highest-intent moment in the buyer journey was the one with the worst response rate."
Qualification also had to happen in the conversation itself. Waiting for an SDR to follow up hours later wasn't a lag, it was a leak. High-intent buyers don't stay in evaluation mode overnight.
Why Docket

Precision Answers, Qualification, and Routing

Their  product is complex. Buyers arrive with scenario-specific questions: API compatibility, geographic licensing, compliance requirements, program setup timelines. A scripted chatbot breaks the moment a buyer goes off-script. The team needed an agent that could reason through those moments, not redirect them.
Speed to deployment was another deciding factor. With buyers actively evaluating the platform, every week of implementation drag had a direct pipeline cost. They needed to be live fast,  not in a proof-of-concept, but in production, on the website, handling real conversations.
Implementation

How They Set Up Docket on the Website

  1. Build the Knowledge Foundation
    The team connected the AI Marketing Agent to the main marketing website and 532 pages of technical documentation — product guides, API references, compliance documentation, and integration specs. No engineering tickets. No months-long implementation. The agent read from the same sources a solutions engineer would reach for on a customer call.
  2. Iterate in Days, Not Weeks
    As early conversations surfaced gaps, the team expanded the knowledge base with an additional 223 pages of supporting guides. The knowledge layer grew with what buyers were actually asking — iteration happened in days, not weeks.
  3. Connect Salesforce for Automatic CRM Sync
    Every conversation outcome — qualification status, intent signals, use case details, contact information — landed in the pipeline automatically. No manual entry. No blank fields on the rep's end.
  4. Enable Spanish & Portuguese from Day One
    With LATAM already showing up as a significant traffic segment, the agent was configured to engage buyers in their language before the first month of data was even in.
1
Build the Knowledge Foundation
The team connected the AI Marketing Agent to the marketing website and 532 pages of technical documentation: product guides, API references, compliance docs, integration specs and went live without a single engineering ticket.
2
Iterate in Days,
Not Weeks
As early conversations surfaced gaps, the team expanded the knowledge base with an additional 223 pages of supporting guides. The knowledge layer grew with what buyers were actually asking,  iteration happened in days, not weeks.
3
Connect Salesforce for Automatic CRM Sync
Every conversation outcome, qualification status, intent signals, use case details, contact information, landed in the pipeline automatically. No manual entry. No blank fields on the rep's end.


4
Enable Spanish & Portuguese from Day One
With LATAM already showing up as a significant traffic segment, the agent was configured to engage buyers in their language before the first month of data was even in.
Results

Conversion, Qualification, and Sales Readiness Improved Across the Board

532
Buyer conversations from 235+ unique orgs
37
Pre-qualified leads identified
10
Flagged for immediate sales action
18.2%
Multi-session return rate
40+
LATAM visitors across 6 countries
Multiple leads proactively shared budget context, with ranges frequently between $1M and $2M. The AI Marketing Agent handled initial discovery autonomously, removing the need for human involvement at each qualification step and recovering 32 hours of sales time in the first month alone.
Nearly 1 in 5 engaged visitors returned for a second conversation, a 18.2% multi-session return rate that signals buyers found the interactions genuinely useful, not just transactional.
Before & After

What Changed on the Website and in the Pipeline

Before Docket
Pricing questions redirected to a Contact Us form
Agent answered in real time, in the conversation
Discovery handled manually by AE on the first call
Discovery completed by agent before the first human touchpoint
Reps re-asked questions buyers had already answered
Reps arrived with full context: use case, scale, intent, fit
After Docket
No visibility into what the market was actually asking
Conversation theme data across 532 interactions in 30 days
Response dependent on rep availability — could be days to weeks
4 days: first conversation → booked AE meeting
Zero structured LATAM engagement
40+ LATAM visitors engaged across 6 countries
The Moment That Changed Things

When Buyers Got Real Answers

A prospect from Ecuador arrived on the website with a very specific question: could the platform support a remittance-to-investment use case for 20,000 users? Within minutes, the AI Marketing Agent had captured the organisation type, user count, specific use case, and contact email. It confirmed API fit and surfaced relevant documentation — without a human in the loop. The lead was routed and upgraded immediately. Four days later, a formal discovery call was booked with an Account Executive.
On that call, the AE re-asked every question the agent had already answered. The call that should have opened with deal-making opened with discovery instead. That gap between what the agent captured and what the rep had in front of them became the clearest argument for closing the loop between the AI Marketing Agent and CRM handoff. When it closed, first calls stopped being discovery sessions. They became deal-making ones.
Market Intelligence

What Buyer Behaviour Revealed About the Market

One outcome the team didn't fully anticipate: the agent became a direct window into what the market actually wanted to talk about. Across 532 conversations, five themes dominated — not survey data or analyst research, but real buyer intent captured in real time, in their own words.
173
Card Program Launch
Setup requirements, timelines, and costs for new entrants
157
Geographic & LATAM Expansion
Coverage inquiries, licensing clarity, non-US markets
141
Pricing, Demos & Sales Inquiries
Cost structures, minimums, and how to book a demo
93
API & Technical Integration
Developer questions on APIs, PCI compliance, architecture
64
Crypto, Stablecoins & Digital Assets
Web3 integrations, stablecoin issuance, crypto-to-fiat payouts
LATAM emerged as the single largest international opportunity — 40+ visitors across Mexico, Colombia, Argentina, Peru, Ecuador, and Brazil — a pipeline segment that was nearly invisible before the agent surfaced it.
One additional signal worth watching: 1.9% of all visitors arrived via AI assistants such as ChatGPT, Microsoft Copilot, and Perplexity. These buyers had already researched the company using AI before landing on the website. They arrived further along in the buying journey, pre-vetted. As more B2B evaluations begin with an AI search rather than a Google search, having an agent ready to meet those buyers with accurate, governed answers becomes a structural advantage — not a nice-to-have.
What's Next

The First 30 Days Validated the Investment

The first month surfaced the next layer of opportunity. The team is now:
  • Enabling fully bilingual conversations in Spanish and Portuguese to convert LATAM demand into pipeline
  • Equipping the agent with pricing tiers and product-tier context to close the pricing dead-end gap
  • Building out the full context-transfer workflow so every AE walks into a first call with complete conversation history already in their CRM
The website is no longer a passive brochure. It's the first qualification step in the sales motion.
Your Website Is Doing the Same Thing - Quietly

Your Website Is Doing the Same Thing - Quietly

It took 30 days to surface 37 pre-qualified leads, $1M–$2M budgets, and a pipeline segment nobody knew existed.
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