Integrated In Your Stack

Custom-Built

Made For Scale

AI Agents

We design and deploy custom AI agents that execute, optimize, and scale your marketing operations, without adding tools or headcount.

astronaut looking at the Earth from far away
astronaut looking at the Earth from far away
astronaut looking at the Earth from far away

Overview

What Are AI Agents and What is Their Role in Marketing?

Overview

What Are AI Agents and What is Their Role in Marketing?

AI agents are autonomous software systems designed to achieve a goal.

Unlike traditional automations that follow a rigid A → B script, AI agents can interpret inputs, make decisions, and choose the next best action based on context.

Instead of blindly moving data from one place to another, an AI agent can notice when something doesn’t look right, pause the process, request human input, and then resume work with that feedback. It is given an objective and a set of tools, and figures out how to reach the outcome on its own.

Benefits

What Are the Benefits for a Commercial Team

Benefits

What Are the Benefits for a Commercial Team

01.

Faster Decision-Making

01.

Faster Decision-Making

02.

Less Manual Work, More Strategic Focus

02.

Less Manual Work, More Strategic Focus

03.

Continuous Progress

03.

Continuous Progress

04.

Scale Through Systems

04.

Scale Through Systems

Overview

What Are AI Agents and What is Their Role in Marketing?

AI agents are autonomous software systems designed to achieve a goal.

Unlike traditional automations that follow a rigid A → B script, AI agents can interpret inputs, make decisions, and choose the next best action based on context.

Instead of blindly moving data from one place to another, an AI agent can notice when something doesn’t look right, pause the process, request human input, and then resume work with that feedback. It is given an objective and a set of tools, and figures out how to reach the outcome on its own.

Benefits

What Are the Benefits for a Commercial Team

01.

Faster Decision-Making

02.

Less Manual Work, More Strategic Focus

03.

Continuous Progress

04.

Scale Through Systems

AI Agents Use Cases in Marketing

AI Agents Use Cases in Marketing

SEO & Content Agents

Content agents support teams by drafting first versions of content based on strategic inputs, performance data, and brand guidelines.

SEO & Content

Automate metadata generation, content updates, and discover new keyword opportunities with AI-driven insights.

Lead Engagement Agents

Evaluate incoming leads in real time, enrich them with external data, and decide the appropriate next step (research, outreach, or escalation).

Lead Engagement Agents

Evaluate incoming leads in real time, enrich them with external data, and decide the appropriate next step (research, outreach, or escalation).

Customer Journey Agents

Journey agents observe user behavior across touchpoints and adapt messaging accordingly, rather than relying on fixed journey maps.

Customer Journey Agents

Journey agents observe user behavior across touchpoints and adapt messaging accordingly, rather than relying on fixed journey maps.

Reporting & Insight Agents

These agents consolidate data from multiple platforms, interpret performance trends, and surface actionable insights the team can act upon.

Reporting & Insight Agents

These agents consolidate data from multiple platforms, interpret performance trends, and surface actionable insights the team can act upon.

AI Agents Use Cases in Marketing

SEO & Content Agents

Content agents support teams by drafting first versions of content based on strategic inputs, performance data, and brand guidelines.

Lead Engagement Agents

Evaluate incoming leads in real time, enrich them with external data, and decide the appropriate next step (research, outreach, or escalation).

Customer Journey Agents

Journey agents observe user behavior across touchpoints and adapt messaging accordingly, rather than relying on fixed journey maps.

Reporting & Insight Agents

These agents consolidate data from multiple platforms, interpret performance trends, and surface actionable insights the team can act upon.

How We Work

How We Build AI Agents

At Lumina Studio, we don’t just propose another tool. We design custom AI agents aligned with your strategy, your audience, and the realities of your data and internal workflows.

How We Work

How We Build AI Agents

At Lumina Studio, we don’t just propose another tool. We design custom AI agents aligned with your strategy, your audience, and the realities of your data and internal workflows.

How We Work

How We Build AI Agents

At Lumina Studio, we don’t just propose another tool. We design custom AI agents aligned with your strategy, your audience, and the realities of your data and internal workflows.

01

Step

01

Discovery & Goal Mapping

We begin by understanding your business objectives, current operating model, and where work slows down or breaks. This ensures each agent is designed around measurable outcomes, not generic capabilities.

01

Step

01

Discovery & Goal Mapping

We begin by understanding your business objectives, current operating model, and where work slows down or breaks. This ensures each agent is designed around measurable outcomes, not generic capabilities.

Step

01

Discovery & Goal Mapping

We begin by understanding your business objectives, current operating model, and where work slows down or breaks. This ensures each agent is designed around measurable outcomes, not generic capabilities.

02

Step

02

Agent Blueprinting

Agents are embedded into your existing stack: CRM, email, analytics, content, and internal tools. They are trained on your data, brand guidelines, and operational context to ensure relevance and consistency.

02

Step

02

Agent Blueprinting

Agents are embedded into your existing stack: CRM, email, analytics, content, and internal tools. They are trained on your data, brand guidelines, and operational context to ensure relevance and consistency.

Step

02

Agent Blueprinting

Agents are embedded into your existing stack: CRM, email, analytics, content, and internal tools. They are trained on your data, brand guidelines, and operational context to ensure relevance and consistency.

03

Step

03

Integration & Training

You’ll receive a tailored proposal and a live demo of your first automation — built around your digital marketing & strategy goals. Test it first for free, keep it only if it fits your need.

03

Step

03

Integration & Training

You’ll receive a tailored proposal and a live demo of your first automation — built around your digital marketing & strategy goals. Test it first for free, keep it only if it fits your need.

Step

03

Integration & Training

You’ll receive a tailored proposal and a live demo of your first automation — built around your digital marketing & strategy goals. Test it first for free, keep it only if it fits your need.

04

Step

04

Testing & Deployment

Before launch, we simulate real-world scenarios to validate decisions, edge cases, and failure modes. This phase ensures agents behave predictably, safely, and in line with your governance requirements.

04

Step

04

Testing & Deployment

Before launch, we simulate real-world scenarios to validate decisions, edge cases, and failure modes. This phase ensures agents behave predictably, safely, and in line with your governance requirements.

Step

04

Testing & Deployment

Before launch, we simulate real-world scenarios to validate decisions, edge cases, and failure modes. This phase ensures agents behave predictably, safely, and in line with your governance requirements.

05

Step

05

Optimization & Iteration

Post-deployment, agents are continuously reviewed and refined based on performance and feedback. As your strategy evolves, agents are adjusted to support new priorities, channels, and growth targets.

05

Step

05

Optimization & Iteration

Post-deployment, agents are continuously reviewed and refined based on performance and feedback. As your strategy evolves, agents are adjusted to support new priorities, channels, and growth targets.

Step

05

Optimization & Iteration

Post-deployment, agents are continuously reviewed and refined based on performance and feedback. As your strategy evolves, agents are adjusted to support new priorities, channels, and growth targets.

Why Now

Measurable Impact of AI Agents

Some of the results our clients see are:

An n8n Ai Agent

10+

hours saved/week

per team member

An n8n Ai Agent

10+

hours saved/week

per team member

30%

faster campaign & content turnaround

Meaning earlier launches & larger output without increase headcount

a colored marble background

Quality

Agility

Reliability

Executive Visibility

Greater Scalability

Better Pipeline Quality

Lower Cognitive Load

Less Bottlenecks

Fewer Handovers

Consistent Execution

Clear Communication

a colored marble background

Quality

Agility

Reliability

Executive Visibility

Greater Scalability

Better Pipeline Quality

Lower Cognitive Load

Less Bottlenecks

Fewer Handovers

Consistent Execution

Clear Communication

+20%

in lead quality indicators

Comparison

Traditional Marketing Ops vs. AI Agents

Rethinking Marketing Operations with AI Agents

Traditional Operations

Work progresses in handoffs between roles and teams

Decisions require manual review at each step

Teams pause when inputs are incomplete or unclear

Scaling means adding people and coordination

Context and knowledge live in scattered documents

Reporting is periodic and manual

Work progresses continuously through AI-supported execution

First-level decisions are handled by agents, with human oversight

Insights are generated continuously and surfaced proactively

Context is embedded directly into systems and workflows

Scaling happens through systems, not headcount

AI Agents-Enabled Team

Why Now

Measurable Impact of AI Agents

Some of the results our clients see are:

An n8n Ai Agent

10+

hours saved/week

per team member

30%

faster campaign & content turnaround

Meaning earlier launches & larger output without increase headcount

a colored marble background

Quality

Agility

Reliability

Executive Visibility

Greater Scalability

Better Pipeline Quality

Lower Cognitive Load

Less Bottlenecks

Fewer Handovers

Consistent Execution

Clear Communication

+20%

in lead quality indicators

Comparison

Traditional Marketing Ops vs. AI Agents

Rethinking Marketing Operations with AI Agents

Traditional Operations

Work progresses in handoffs between roles and teams

Decisions require manual review at each step

Teams pause when inputs are incomplete or unclear

Scaling means adding people and coordination

Context and knowledge live in scattered documents

Reporting is periodic and manual

Work progresses continuously through AI-supported execution

First-level decisions are handled by agents, with human oversight

Insights are generated continuously and surfaced proactively

Context is embedded directly into systems and workflows

Scaling happens through systems, not headcount

AI Agents-Enabled Team

Meet our AI Agents Engineers

Anna & Martin from Lumina Studio Marketing

Anna &

Martin

We operate at the intersection of marketing and intelligent systems.
Our AI agents are the engine behind how work gets done: supporting decisions, driving execution, and delivering measurable outcomes that scale with your team.

Meet our AI Agents Engineers

Anna & Martin from Lumina Studio Marketing

Anna &

Martin

We operate at the intersection of marketing and intelligent systems.
Our AI agents are the engine behind how work gets done: supporting decisions, driving execution, and delivering measurable outcomes that scale with your team.

Frequently Asked Questions

AI Agents for Marketing FAQs

Frequently Asked Questions

AI Agents for Marketing FAQs

How long does it take to deploy an AI agent?

How long does it take to deploy an AI agent?

Will AI agents replace my marketing team?

Will AI agents replace my marketing team?

How is this different from automation or AI tools we already use?

How is this different from automation or AI tools we already use?

Who is responsible for decisions made by the agents?

Who is responsible for decisions made by the agents?

Do we need new software?

Do we need new software?

Is our data safe and compliant?

Is our data safe and compliant?

How do you ensure brand consistency and quality?

How do you ensure brand consistency and quality?

Frequently Asked Questions

AI Agents for Marketing FAQs

How long does it take to deploy an AI agent?

Will AI agents replace my marketing team?

How is this different from automation or AI tools we already use?

Who is responsible for decisions made by the agents?

Do we need new software?

Is our data safe and compliant?

How do you ensure brand consistency and quality?

See the Impact of AI Agents

AI agents designed to scale marketing operations without added complexity.

See the Impact of AI Agents

AI agents designed to scale marketing operations without added complexity.

See the Impact of AI Agents

AI agents designed to scale marketing operations without added complexity.