Line drawing of a rocket interstage with its shell cut away to show trussed rings and feed lines running around a central tank.

AI marketing automation for teams that need more from every campaign.

Campaign ideas live in one tool, customer data in another, and nobody can explain what happens after a lead fills out a form. Phos AI Labs connects the research, content, campaigns, reporting, and handoff so marketing creates demand the sales team can actually use.

AI marketing automation uses AI to research audiences, plan and produce content, manage campaign workflows, analyze performance, and route qualified demand to sales. Phos AI Labs connects those tasks to your customer data, brand rules, and existing tools, so marketing can learn from each campaign and move the next one forward with less manual coordination.

OpenAI Select Partner and Claude Partner Network

Claude (Anthropic) Partner, CCA-F certified team

  • 40+ AI systems

    shipped to production in the last 6 months

  • 707 qualified leads

    surfaced from a dormant pipeline for LOW/CODE Agency

Trusted across 450+ builds

  • American Express
  • Coca-Cola
  • Sotheby's
  • Medtronic
  • Dataiku
  • Margaritaville
  • Zapier
  • Whitecoat Planning

Why does marketing work so hard without creating a clear sales path?

The work is spread across strategy docs, ad platforms, content tools, spreadsheets, and reporting dashboards. Each piece runs. The handoff between them does not.

  • Content is disconnected from demand

    The team publishes because the calendar says to publish. Nobody can point to the customer question, buying signal, or sales conversation the work was meant to create.

  • Campaign data arrives too late

    A report explains what happened after the budget is spent. By then, the team has already repeated the same pattern in the next campaign.

  • Good leads lose context at the handoff

    A form submission reaches sales with a name and an email. The research, content, source, and reason for interest stay behind in another tool.

  • The team spends the week moving information

    Marketers copy data between platforms, rewrite the same brief for different channels, and build reports that answer last month's questions.

What we do - What you get

The best marketing automation connects decisions, content, and measurement.

Phos AI Labs maps how your team turns market insight into campaigns and campaigns into sales conversations. We then build the workflows that remove repetitive coordination while keeping strategy, creative direction, and brand judgment with your team.

What you walk away with

  1. 01

    Marketing workflow map

    The real path from audience research to campaign brief, production, launch, reporting, and sales handoff.

  2. 02

    Audience and ICP context

    The customer segments, signals, objections, and buying situations the system should understand.

  3. 03

    Campaign brief generator

    A structured brief built from the objective, audience, offer, channel, proof, and constraints.

  4. 04

    Content production workflow

    Research, outlines, drafts, repurposing, review, and publishing tasks connected in one process.

  5. 05

    Brand and claims library

    Approved language, proof, examples, exclusions, and review rules that keep generated work usable.

  6. 06

    Demand capture workflow

    Forms, conversations, lead magnets, and campaign responses routed with the context sales needs.

  7. 07

    Marketing reporting layer

    Campaign, content, traffic, and conversion signals assembled into a report the team can act on.

  8. 08

    Experiment register

    Hypotheses, changes, results, and decisions recorded so the team stops repeating the same tests.

  9. 09

    Lead handoff rules

    Clear conditions for when marketing owns the next step, when sales owns it, and what information travels with the lead.

  10. 10

    Content and knowledge search

    A searchable layer for past campaigns, customer research, case studies, and approved positioning.

  11. 11

    Human review gates

    Approval steps for claims, brand risk, regulated language, paid media, and outbound communication.

  12. 12

    Owner handoff

    Documentation, workflows, prompts, and measurement rules your team can maintain after launch.

What actually happens once you start?

We follow the three Phos AI Labs phases. The audit finds the marketing bottleneck, the foundation gives AI the right context, and implementation connects the workflows to real campaigns.

  1. Step 01

    AI Readiness Audit

    We review the customer segments, campaign history, content process, reporting, lead sources, and sales handoff. We find where work stalls and where the data can support a better decision.

  2. Step 02

    AI Foundation

    We organize the brand rules, customer context, offers, proof, approved claims, and measurement definitions the system needs to produce useful work.

  3. Step 03

    AI Implementation

    We connect the first workflow to the marketing stack. The starting point may be campaign briefing, content production, reporting, lead capture, or the handoff into sales.

  4. Step 04

    Run the workflow on a live campaign

    Your team reviews the outputs against a real launch. We correct the process where the system misses a customer nuance, produces unsupported claims, or adds work instead of removing it.

  5. Step 05

    Measure what changed

    We track production time, campaign speed, lead quality, reporting time, response time, and the signals that matter for the business. The next workflow follows the evidence.

What else does Phos AI Labs handle around a marketing system?

The demand marketing creates has to keep moving once it reaches sales, and the models behind the content have to be chosen with care.

  1. AI Sales Automation

    Qualification, CRM updates, proposals, and follow-up built around the way your team sells, so the demand marketing creates keeps moving.

  2. Generative AI Consulting

    Choosing the right model and prompt architecture for each job, so accuracy holds and the hours it saves actually show up.

  3. Chatbot Consulting

    Chatbots that answer from your own documents, cite their sources, and turn a website conversation into a qualified lead.

Why does the right marketing system depend on the market you serve?

A staffing firm markets expertise differently from a manufacturer. A healthcare company carries different review rules from a software business. The workflow has to understand the buyer and the claims the business can support.

Don’t see your industry?

If your team has customer knowledge, campaign data, and work that still moves through spreadsheets, there is usually a useful first workflow.

Book a call

What does AI marketing automation actually change?

The goal is a marketing team that learns faster, carries context into sales, and spends more time making good decisions.

  1. 01

    Campaigns move faster

    Research, briefing, drafting, review, and reporting have a defined path, so the team spends less time restarting work in a new tool.

  2. 02

    Content has a job

    Each campaign and asset connects to an audience, an offer, a customer question, or a sales conversation. The calendar becomes easier to defend.

  3. 03

    Measurement leads to a decision

    The report does more than describe traffic and clicks. It records what changed, what the team learned, and what should happen next.

  4. 04

    Sales receives usable context

    A qualified response arrives with the source, content, customer question, and relevant history attached, so the handoff starts further ahead.

Does this work create demand the business can use?

Marketing automation earns its place when it improves the link between a market signal, a campaign decision, and a sales opportunity.

Payroll Mexico

17 years of client history turned into the context for an AI Sales Analyst that reads market signals and delivers qualified prospects.

I set up two recurring tasks, one daily, one weekly. The daily scrapes LinkedIn job postings, the weekly tracks press releases about companies expanding to Mexico. We have a bunch of leads to follow. I don't know how Phos AI Labs does this. I am amazed.

Franklin Delano Frith II, Owner, Payroll Mexico

Read the full story →
  • 3–4 / day qualified prospects delivered
  • ~$300K projected new ARR from the outbound channel

LOW/CODE Agency

Old pipeline data turned into a demand source: 2,400 dormant contacts read, scored, and drafted for re-engagement.

Every proposal needed me in the room. The sales team couldn't move without me, which meant I was the bottleneck in my own company. Now the AI handles the routine ones. I review the complex cases. That's the job I should have had all along.

Jesus Vargas, Founder & CEO, LOW/CODE Agency & Phos AI Labs

Read the full story →
  • 707 qualified leads surfaced, drafts ready for review
  • 2,400 dormant contacts analyzed

HRM Mexico

A specialist agent that answers buyers' labor-law questions and captures the details sales needs inside the same conversation.

The results from our increase in lead generation are outstanding. This is the perfect example of the importance of moving forward with an AI strategy. We feel very fortunate to have chosen Phos AI Labs as our partner. It has been a positive game changer for us.

Franklin Delano Frith II, Owner, HRM

Read the full story →
  • 250% more leads vs. the prior year
  • 24/7 answers and lead capture

Why Phos AI Labs over an AI content vendor?

  1. 01

    We connect marketing to the business

    Content volume is easy to increase. The harder job is connecting customer context, offers, proof, campaigns, reporting, and sales handoff so the work supports a real commercial process.

  2. 02

    We build around your evidence

    Your best customer stories, sales conversations, campaign history, and internal knowledge give the system something specific to work with. Generic prompts produce generic work.

  3. 03

    We can build past the marketing layer

    When the right workflow touches CRM, operations, customer support, or internal data, the same team can connect the whole path instead of handing the hard part to another vendor.

How much does AI marketing automation cost?

The cost depends on whether the first problem is strategy, content operations, campaign reporting, lead capture, or the handoff into sales. Phos AI Labs scopes the audit, foundation, and implementation separately.

  • AI Readiness Audit

    from $10,000 fixed

    A focused review of the marketing process, customer context, tools, campaigns, reporting, and highest-value opportunities. The standalone audit takes about two weeks.

    Start here
  • First marketing workflow

    from $15,000 /mo.

    We build and embed the first production workflow, with the scope set by the systems, data, review rules, and campaign requirements involved.

    Book a call
  • Embedded AI marketing team

    up to $50,000 /mo.

    An ongoing engagement for companies that need several marketing workflows built, measured, and improved over time.

    Talk scope

Keep going

  1. 01

    AI Readiness Scorecard

    Find the marketing and operating workflows where AI may create the most value.

    Explore →
  2. 02

    AI Consulting

    Start with the broader audit and roadmap when the right entry point is still unclear.

    Explore →
  3. 03

    AI Employees

    See how Phos AI Labs builds role-specific AI employees around real work.

    Explore →
  4. 04

    Case studies

    Read how Phos AI Labs connected data, workflows, and demand signals for real companies.

    Explore →

In partnership with

  • Anthropic
  • OpenAI
  • Zo
  • Make

FAQs

What is AI marketing automation?
AI marketing automation uses AI to research audiences, plan and produce content, manage campaign workflows, analyze performance, and route qualified demand to sales. Phos AI Labs connects those tasks to your customer data, brand rules, and existing tools, with review points where accuracy and judgment matter.
Does AI marketing automation mean generating more content?
Content can be part of the system, but more output is not the goal. Phos AI Labs connects research, positioning, campaign decisions, production, measurement, and sales handoff so every workflow has a business reason and a way to learn from the result.
Can you work with our existing marketing tools?
Usually. Phos AI Labs starts by mapping the tools, data, permissions, and handoffs already in place. The implementation may connect your CRM, analytics, email platform, CMS, forms, ad data, project tools, or internal documentation. The stack determines the final design.
How do you protect our brand and claims?
We create a brand and claims library with approved language, proof, exclusions, and review rules. The workflow can require human approval before publishing or sending anything that carries legal, financial, regulated, or reputational risk.
Will this replace our marketing team?
The system handles research, coordination, first drafts, reporting, and repetitive data work. Your team keeps strategy, creative direction, customer understanding, and the decisions that shape the market position.
How long does it take?
A standalone AI Readiness Audit takes about two weeks. A production marketing workflow takes longer because Phos AI Labs has to map the process, prepare the context, connect the tools, test live campaigns, and train the people who will use it. The final timeline depends on scope.
How much does AI marketing automation cost?
The audit starts at $10,000. A first production workflow starts at $15,000 per month, and an embedded AI team can reach $50,000 per month. Phos AI Labs confirms the exact scope and price after reviewing the marketing process and systems involved.

The fastest way to know whether we're the right fit, is a conversation.

STEP 1/2 · ABOUT YOU