Runs on cadence
No fresh prompt.
Live decision field · running now
Applied AI for B2B SaaS lifecycle and customer growth
Autonomous marketing agents that decide, check, and escalate.
Self-running agents that interpret changing customer signals, make bounded lifecycle decisions, check their own work, and escalate consequential actions for human approval.
Signals in
Evaluate · self-check
Human review
Governed action · QA
Abstract system view. Moving signals converge, the agent evaluates and self-checks, and consequential outcomes route to human review before action.
Autonomy characteristics
Retains context
Across decisions.
Uses interfaces
Inside defined bounds.
Stays within authority
Stops or escalates when required.
Reviews its work
Before progression.
Routes to a person
People retain authority.
Run the agent
Watch one governed run, start to approval.
A synthetic case moves through evaluation, self-checking and a human gate. The final decision stays with a person.
$ awaiting run…
Independent POC · Synthetic data
HUMAN APPROVAL REQUIRED
The agent has drafted a consequential action. Nothing progresses until a person decides.
Historical business credibility
Commercial experience defines the decisions worth automating.
Historical outcomes establish the business context. Independent agents show how those lifecycle decisions are approached now, with bounded autonomy, self-checking and human approval.
More than fourfold growth
Assisted-onboarding bookings increased through lifecycle redesign.
Double-digit churn reduction
Churn declined while customer coverage more than doubled.
Double-digit MRR growth
A structured partner and cross-sell motion drove the gain.
Anonymized historical professional outcomes. Agent validation remains separate. Synthetic-data results are not customer outcomes.
Lifecycle coverage
Built for the post-sale journey.
Retention and expansion agents are scheduled to run daily on a local machine. Each run analyzes data and produces a report. Onboarding & Adoption is in development.
Onboarding
IN DEVELOPMENT
Toward first value
Adoption
NEXT PLANNED
Sustained product use
Retention
RUNNING
Churn risk → response
Expansion
RUNNING
Supported upsell
Advocacy
FUTURE
Reference & referral
The agent portfolio
2 running · 1 in development
RETENTION
Churn Risk → Retention Agent
Flags churn risk, sets commercial urgency and drafts a review-ready retention response.
Churn risk and commercial priority are different decisions.
Built · Autonomous · Running daily on a local machine
Request a walkthrough →
EXPANSION
Expansion & Upsell Readiness Agent
Reads expansion readiness, protects at-risk accounts and prevents unsupported claims.
Commercial restraint is part of good growth. It knows when not to pitch.
Built · Autonomous · Running daily on a local machine
Request a walkthrough →
ONBOARDING · ADOPTION
Onboarding & Adoption Agent
The next agent will help customers progress from onboarding toward first value and sustained adoption.
In development
Development work underway
CustomerGrowthAI.com
Lifecycle & Customer Growth
Senior lifecycle judgment, applied to governed agent design.
Years of owning post-sale customer growth for B2B SaaS, now applied to autonomous systems designed with clear authority boundaries and human governance.
Ask about agents →Business problem before technology
The decision comes first. Autonomy serves it.
Evidence before customer-facing claims
Customer-facing output requires traceable support.
Value before activity
Movement toward outcomes, not volume of actions.
Validation before scale
Test and validate before broader live implementation.
Start with the agent walkthrough.
See the business decision, autonomy model, governance controls, and validation approach behind the portfolio agents.