Jon Miller, the co-founder of Marketo, has officially launched Phave, an AI-native marketing automation platform built for enterprise B2B teams. After two years in stealth, Miller told MarTech that Phave now powers marketing operations across 10 companies.
Miller, who also founded account-based marketing platform Engagio and sold it to Demandbase in 2020, is returning to the category he helped create with a sharp critique: legacy marketing automation was built for a simpler, lead-centric world and has not kept pace with how B2B buying actually works.
Why legacy MAPs fell behind
Marketing automation originally promised to help B2B companies identify, nurture and convert prospective buyers at scale. Over time, many platforms became rigid, rules-based systems that send endless email streams while ignoring the ambiguity of real purchasing decisions.
“Rules are good at what must be true, but they can’t handle ambiguity, and they can’t provide judgment about what is best,” Miller told MarTech. “And the reality is B2B buying is ambiguous and complex, and doesn’t lend itself very well to rules.”
Phave takes a different path. It treats individual contacts, target accounts and multi-person buying groups as first-class objects, each with its own intent scores and tailored buyer journeys. Rather than forcing teams to configure every edge case, the platform uses AI reasoning models to evaluate context and choose a logical next step.
From campaigns to playlists
Phave’s biggest execution shift is the “playlist.” Miller compares campaigns to albums and tactics to songs; instead of spinning up a new tactic for each person, the system mixes existing tactics in the optimal order for each individual.
The system learns from behavior. If a buyer consistently opens emails on Tuesdays but skips webinars, Phave registers those preferences and adjusts future outreach. It also acts as a centralized traffic controller. When a high-priority product launch needs to reach an account on Wednesday, an overlapping webinar invite can be rescheduled to Friday.
Built for agent-driven marketing
Phave is designed for a world where marketers and software interact through AI agents rather than manual dashboards. The platform exposes 319 tools through the Model Context Protocol (MCP), letting external agents and internal tools trigger actions directly.
- First-class objects: Contacts, accounts and buying groups get separate intent scores and journeys.
- AI reasoning: Static if-then triggers are replaced by contextual decisions.
- Playlists: Campaigns and tactics are mixed per person and adjust as behavior changes.
- Agent-ready architecture: 319 MCP tools connect Phave to external agents and workflows.
Marketing operations leaders can also build custom “skills” that encode organizational standards such as campaign naming conventions, required UTM structures and operational workflows. Instead of manually reapplying those rules each time, an AI agent executes tasks according to the established playbook. Miller said early Phave adopters report building campaigns two to three times faster.
What this means for marketing teams
Modern B2B buying is driven by buying groups, anonymous research and post-sale retention. A MAP that still treats everything as a linear lead flow creates operational drag and competing campaigns that can email the same audience. Phave’s launch is a useful benchmark for marketing operations teams evaluating whether their current stack can handle ambiguity and agent-driven work.
Teams not ready to replace their MAP can still apply the lesson: map contacts, accounts and buying groups separately, and identify the rule-based gaps where human judgment or AI reasoning is needed.
Source: MarTech
