Mobile Intelligence SaaS Company
Real projects. Real results. Names anonymized, outcomes factual. These are companies that faced the same scaling constraints, the same brand identity concerns, and the same internal readiness gaps – and decided to act.
“We were spending 80 hours a week on work AI could do – but only if it sounded like us.”
The case
A mobile app intelligence company needed to scale its research article output. Analysts spent over 80 hours per week manually writing market intelligence articles – each one requiring 8-12 hours of data mining, analysis, and editorial work. They’d tried AI writing tools. The output was generic, factually unreliable, and sounded nothing like their established analytical voice. Their fear: automation would dilute the brand authority they’d built over years.
The challenge:
The manual process couldn’t keep pace with market demand. Article quality varied by analyst. The company needed to produce 20-30 articles per year across multiple market sectors while maintaining data accuracy and their distinctive analytical voice. Hiring more analysts wasn’t feasible at the pace the market demanded.
What we've built:
- A modular system of 6+ interconnected workflows totaling 300+ automated steps
- Knowledge capture from existing analyst content to encode the company’s methodology, editorial voice, and analytical framework
- Multi-layer data architecture feeding unique market intelligence – user metrics, shareholder KPIs, competitive data – into each stage
- A dual QA pipeline we designed ourselves: automated Analyst QA checks data accuracy (99%+), then Editorial QA validates writing quality, with automatic retry logic when standards aren’t met
- Modular design allowing expansion to new market sectors without rebuilding
Operational Impact:
- Article production time reduced from 8-12 hours to under 5 minutes per article
- Manual analyst workload reduced from 80+ hrs/week to oversight and review
- 99%+ data accuracy through automated verification
- Consistent editorial voice matching the company’s established standards
- New market sectors added through configuration, not rebuilding
The outcome
What the client owns:
The complete system. All workflows, all data architecture, all documentation. No ongoing dependency on DX3 Labs to operate it.
Fear addressed:
Brand identity loss, cost of scaling, workforce readiness (analysts freed to do higher-value analysis instead of production writing).
Ready to get started?
Your first step is a conversation. We’ll learn about your business, identify the highest-value automation opportunities, and show you exactly how we’d approach them. No commitment. No sales pitch.