Margin-aware targeting
Pick segments that improve economics instead of just increasing activity.
Solution | AI Native Startups
Expand margin by targeting the customer segments that actually pay back AI spend.
psi* helps AI-native startups use revenue data to find the most valuable customer segments, then use agents to research, personalize, and execute GTM work around those audiences. This is how you grow without letting inference costs and generic outreach eat your margin.
Ontology identifies the right audiences. Agent Orchestration lets your team tune prompts, tools, browser work, and cron-backed execution around them.
Workflow
Use revenue data to decide where AI GTM effort should go.
Start with customer economics, then let agents execute against the segments worth expanding.
- 01
Revenue ontology
Model customer revenue, cost to serve, and margin shape before the GTM team spends more inference budget.
find the profitable audience - 02
GTM segmentation
Choose the audiences worth expanding based on economics, not just top-of-funnel response.
segment by margin - 03
Agent research and runtime work
Let agents research accounts, use browser sessions, and act inside the runtime against those audiences.
operators plus agents - 04
Cron-backed lead generation
Turn what works into scheduled lead generation and follow-up without losing control of the motion.
scale what pays back
What teams get
Prompt and tool control
Tune the agent around the segment, the task, and the channel.
Research plus browser power
Research, browsing, and runtime actions stay attached to the same operating logic.
Scheduled execution
Once the motion works, turn it into durable, cron-backed automation.
Margin control system
Treat AI GTM like an economic loop, not just an automation loop.
Each stage improves the margin story before the system scales the motion.
AI margin loop
revenue data segmentation agent execution cron scale
Revenue ontology
GTM segmentation
Agent execution
Cron scale
customer revenue shape
cost to serve
segment economics
profitable audiences
expansion candidates
margin-aware targeting
prompt tuning
browser and research work
runtime actions
repeatable lead generation
durable run history
controlled growth
Products behind it
This solution resolves into Ontology and Agent Orchestration.
Product
Ontology
Use Ontology to identify the customer segments that can absorb AI spend and produce better margin.
See OntologyProduct
Agent Orchestration
Use Agent Orchestration to tune prompts, control tools, run browser work, and schedule durable execution around those segments.
Open Agent OrchestrationNext step