AI Is Only as Good as the Data Behind It
We prepare your infrastructure for AI and implement the predictive capabilities that turn insights into action.
Everyone Wants AI. Almost No One Is Ready for It.
AI readiness isn't about algorithms. It's about infrastructure. Clean data. Unified profiles. Consistent events. Real-time access.
Get that right, and AI becomes transformative. Get it wrong, and you're just automating your mistakes.
AI initiatives stall in 'data prep'
Everyone wants AI. Almost no one is ready for it. Projects get stuck cleaning data instead of delivering predictions.
Models train on incomplete pictures
Your data is fragmented, so AI learns from partial customer views. Predictions apply to ghosts, not real people.
Predictions never reach production
Data science builds models that work in notebooks but never connect to campaigns, journeys, or customer experiences.
You're automating your mistakes
If you feed AI garbage, you get garbage back—just faster and more confidently. Bad data at scale is worse than no AI at all.
AI Infrastructure That Actually Delivers
We prepare your data foundation for AI and implement predictive capabilities that connect directly to action—no data science team required.
AI Readiness Assessment
We evaluate your data infrastructure against AI requirements. Where are the gaps? What needs fixing before predictive models work? You get a clear roadmap from current state to AI-ready.
CustomerAI Predictions
We implement Twilio's out-of-the-box predictive models: Likelihood to Purchase, Predicted LTV (90 days), Churn Risk, and Custom Predictions trained on any event you track.
Predictive Audiences
We configure pre-built and custom audiences powered by predictions. High-value prospects. At-risk customers. Likely converters. Discount-sensitive buyers. AI-powered segments, ready to activate.
Recommendation Engine
We implement Twilio's AI-powered product and content recommendations. Show the right product to the right customer based on behavioral patterns—not just rules.
Generative Audiences
We enable natural-language audience creation. Describe the segment you want in plain English. AI builds it. Your marketing team gains superpowers without learning SQL.
Foundation Remediation
We fix the issues that block AI effectiveness. Identity resolution. Event standardization. Data quality enforcement. The unsexy work that makes AI possible.
Predictions That Power Real Business Outcomes
Smarter Acquisition
- →Build lookalike audiences based on high-LTV customers
- →Suppress low-propensity users from paid campaigns
- →Improve ROAS with AI-powered targeting
Proactive Retention
- →Identify churn risk before customers leave
- →Trigger automated win-back campaigns
- →Prioritize high-value at-risk customers for outreach
Personalization at Scale
- →Recommend products based on predicted preferences
- →Personalize messaging based on lifecycle stage
- →Tailor offers based on price sensitivity
From Assessment to Ongoing AI Enablement
Predictions get better with more data and tuning. As Twilio releases new AI capabilities, we evaluate and implement what's relevant to your business.
Planning & Setup
We start with an AI readiness assessment—evaluating your data quality, profile completeness, and event consistency against what predictive models require.
- →Remediate foundation gaps first (garbage in, garbage out)
- →Configure Predictions and build initial predictive traits
- →Connect predictions to your activation tools
Ongoing AI Enablement
We monitor model performance, expand capabilities, and help your team act on the insights.
- →Add new predictive traits as use cases emerge
- →Expand AI-powered audiences across channels
- →Evaluate and implement new Twilio AI capabilities
What Changes When AI Actually Works
