Services
The AI Growth Engine
Four pillars, built to work together. We typically start with whichever pillar is leaking the most growth today, then expand the engine as the data and workflow mature.
Signal-Based Pipeline
We connect your product usage, marketing, and firmographic data into a single intent model. It scores every account and contact by propensity to buy, then feeds that ranking into outbound sequencing, ad targeting, and SDR routing — so effort goes where it converts.
Sales and marketing stop guessing which accounts to chase and start working a ranked, self-updating queue.
What we deliver
- Unified intent-scoring model across product, web, and CRM data
- Automated account and contact prioritization in your CRM
- AI-assisted outbound sequencing tuned to buyer signals
- Weekly pipeline-quality reporting with model drift checks
Activation Engineering
We instrument the first-session and first-week journey, then use behavioral clustering to route each new account down the onboarding path most likely to reach their activation milestone — with in-product nudges, lifecycle email, and human touch calibrated by AI risk scoring.
More trials and signups reach their "aha" moment faster, without a bigger onboarding team.
What we deliver
- Activation-milestone definition tied to downstream retention
- Behavioral clustering to segment onboarding cohorts
- Adaptive in-product and email onboarding sequences
- Time-to-value dashboard by segment and channel
Expansion Intelligence
Usage patterns almost always signal expansion readiness before an account raises their hand. We build models that detect seat pressure, feature-adoption ceilings, and usage growth, then trigger playbooks for CS and sales to act on the signal while it is fresh.
Expansion revenue becomes a predictable motion instead of a quarterly scramble.
What we deliver
- Expansion-readiness scoring across seats, usage, and features
- Automated alerts routed to CS and sales owners
- Playbooks for upsell, cross-sell, and plan-upgrade motions
- Net-revenue-retention reporting by trigger type
Retention & Churn Defense
We build account health models from product usage decay, engagement breadth, and support signals, then wire early-warning alerts into your CS workflow so intervention happens while an account is still savable — with playbooks matched to the specific risk pattern detected.
Renewals stop being a surprise and churn conversations start earlier, with more leverage.
What we deliver
- Account health scoring from usage and engagement decay
- Early-warning alerts segmented by churn-risk pattern
- Save playbooks matched to detected risk type
- Churn post-mortems fed back into the scoring model
Our process
- 01
Diagnose
We audit your funnel, data stack, and growth motions to find where AI signal is missing and where it would compound fastest.
- 02
Design
We design the specific models, workflows, and playbooks for your product — mapped to the pillars that matter most for your stage.
- 03
Deploy
Our team implements the engine inside your existing stack — CRM, product analytics, lifecycle tooling — with your team embedded throughout.
- 04
Compound
We tune the models against real outcomes every cycle, so the engine gets sharper the longer it runs.
Ready to unlock your operational potential?
Book a 30-minute discovery session. We'll analyze your existing workflows, pinpoint inefficiencies, and prioritize the highest-value automation opportunities that will transform your operations with minimal risk.