Marketing agents
that actually run.
Every CMO has seen the demo. Few have seen agents survive their first month at a Fortune 500. We build the second kind. Six agents that handle the work between briefs and decisions — watched closely, audited cleanly, on top of a data foundation that compliance signed off on.
Six agents. Each one replaces work nobody enjoyed doing.
Each ships as an autonomous loop with reasoning traces, guardrails, and clean handoffs to humans when policy says so. They share a context layer, so what one learns the others use. Click any card for a live demo.
Portfolio Optimization Agent
Stops you from leaving money on Google to die in Programmatic. Moves it in minutes, not weekly reviews.
- Real-time CPA, ROAS, LTV monitoring across every active network
- Cross-channel reallocation bounded by your floor / ceiling rules
- Auto-execute under threshold, escalate above
- Every dollar moved gets an audit entry
Creative Performance Agent
Spots fatigue the day it starts. Generates the replacement. Uploads it before your media buyer notices.
- Frequency, CTR, CVR-drop pattern recognition
- Multi-agent handoff to image / video generation
- Brand-safety and asset QA on every variant
- New test flight live the same day fatigue was detected
Audience Management Agent
The second a customer converts, every network knows. No more awareness ads chasing people who already bought.
- Live CDP event stream from Segment or your warehouse
- Parallel exclusion push to Meta, Google, TikTok in milliseconds
- Lookalike seed refreshes itself as Champions cohort grows
- Stalled cohorts move automatically into retention re-targeting
Copy Matrix Agent
Stops you from testing 3 headlines. Tests 24. Finds the persona × pain combination that wins, then writes Round 2.
- Learns from 90 days of historical creative performance
- Full Persona × Pain Point matrix, brand-voice compliant
- Pattern detection across rows and columns
- Auto-generates Round 2 around the winners
Guardian Agent
When your /apply page 404s at midnight, this is the agent that pauses the ads and files the ticket. You find out from the resolution, not the wasted spend.
- 60-second health checks across every endpoint, pixel, budget
- Auto-pause on 404s, pixel drops, suspected typo'd budgets
- Auto-revert when the change history says someone added a zero
- Native PagerDuty + Jira + Slack — fits how engineering already works
Performance Narrative Agent
Reads what the other five did all week. Writes the briefing your CMO would have spent Sunday on. Then tells the other agents how to do better.
- Ingests from all five operational agents continuously
- Weekly exec briefings as narrative prose, not dashboards
- Surfaces the why, not just the what
- Closes the loop: writes next-cycle prescriptions back to the agents
Building six agents is a weekend project. Making them work together at a bank is what you pay us for.
Most "AI agent" pitches stop at the agent. The hard part is what sits underneath — the definitions, the data contracts, the governance. Without a shared semantic layer, agents make decisions on inconsistent inputs and contradict each other in production. We build the foundation before we build the agents. Every engagement.
The foundation we build first. Customer, campaign, conversion, channel, attribution credit — defined once, used everywhere. Also the thing that makes the agents auditable when model risk shows up.
See featured case study →A top-10 U.S. retail and commercial bank.
Twelve months from kickoff to a marketing organization where every dashboard, every notebook, and every AI agent reasoned against the same definitions. Twenty-two competing metrics resolved. Conversational analytics approved by model risk on the first pass. We wrote up the whole thing — including the parts that were politically harder than technically hard.
"The number of competing definitions in active enterprise reporting was reduced from 22 to zero. Quarterly business reviews stopped beginning with reconciliation discussions."
We don't deliver decks. We deliver running agents.
Eight weeks to your first agent in production. Six months to all six. Co-built with your team, owned by your team, supported by ours. Honest annual scope review — if you don't need us, we'll say so.
Discover
Stakeholder mapping, definitional conflict register, governance proposal. We surface what's broken before we propose what to build. Most clients are surprised by what we find.
Design
Semantic layer specification, agent specs, guardrail policies. Reviewed by your data, compliance, and marketing leadership before a line of code gets written.
Build
Foundation first, then agents in priority order. Co-built with your engineering team so they own it on day one. Not handed over with a runbook.
Operate
Your team runs it. We provide quarterly review, roadmap guidance, and expansion to additional agents. If you don't need us next year, we'll be the ones to say so.
The right time was a year ago.
Anyway.
Thirty minutes with our team. No deck. We'll talk through your marketing data foundation, where agents would have the highest leverage, and what a first 90 days actually looks like.
Book 30 minutes