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AI for Marketing Operations

Ship marketing campaigns
10x faster with AI workflows
that reach production.

Modus Ops designs, builds, and operates AI workflows for performance marketing teams running €100k+/month in paid media. From audit to production in under 60 days.

modus ops — campaign_engine v2.4
5 flows running
Automated Workflows
live · updated just now
All systems healthy
sitelink_generation.flow
running
2.1s
campaign_reporting.agent
done
1.4s
meta_to_bigquery.pipeline
running
0.8s
landing_page_localization.bot
queued
rsa_variant_generation.agent
done
3.2s
Built on the platforms your team already uses
The problem

Your AI experiments aren't reaching production.

Manual asset production. Slow campaign launches. Reporting that consumes your analyst layer. Your team has tested AI tools — none of them reached daily production. This isn't a tooling problem. It's an operational engineering problem.

See what we automate
Common pain points in marketing ops
01
Slow campaign launches
Briefs sit in queues; copy and assets bottleneck every launch
02
AI pilots that don't ship
Experiments stuck between "we tried it" and production reality
03
Reporting consumes analysts
Senior people lost to spreadsheet assembly across Google, Meta, GA4
04
Scale without quality
More variants, more localizations, more brand risk on every output
AI agents

Agents that know your campaigns, your brand, your stack.

Generic AI doesn't know your brand voice, your campaign rules, or your platform constraints. We build agents trained on your performance marketing operations — embedded team members that ship variants, generate assets, and run reports inside your stack.

See our services
Agent conversation — campaign asset generation
You
Generate 20 RSA variants for the Q2 conversion campaign — DACH market, premium tier positioning.
AI
Done. 20 variants generated using your DACH brand voice guide, tested against your top-3 performing RSAs from last quarter. Pushed to draft state in Google Ads. 3 flagged for senior review — character count edge cases. Want me to localize for AT and CH next?
AI
How we work together

Three engagements. Each produces something measurable.

01 — Audit

Marketing AI Audit

A workflow audit across campaign creation, asset production, reporting, and QA. We deliver an opportunity register scored by impact and effort, plus a 90-day roadmap your leadership can defend.

→ 2 weeks · fixed price
02 — Build

Pilot Build

One AI workflow into production, end-to-end. Common scopes: RSA and sitelink generation, automated reporting, landing page localization, brief-to-launch pipelines. Documented and owned by your team.

→ 4–6 weeks · fixed price
03 — Operate

Managed AI Ops

Your AI marketing operations, run as infrastructure. Ongoing workflow expansion, prompt iteration, model upgrades, and quarterly roadmap reviews. Senior implementation engineering, not a ticket queue.

→ monthly retainer
Methodology

Method, not magic.

Every engagement runs through the same six phases, grouped into four stages. We map before we build. We ship before we declare done. We measure against metrics agreed at kickoff — not metrics we invent at the end.

01
Week 1
Discover & Diagnose

Workflow interviews, stack inventory, opportunity scoring by impact and effort. We surface what's actually broken — not what looks broken on a dashboard.

02
Week 2
Design

Solution architecture, build-vs-buy decisions, integration plan, quality control layer. We design before we code so the system survives contact with your real workflow.

03
Weeks 3–6
Deliver

Two-week sprints with weekly demos. You see progress, redirect if needed, own the code from day one. No big reveal. No black box.

04
Ongoing
Drive Adoption & Measure

Documentation, training, internal champions, monthly metrics reviews. The phase most consultancies skip — and the reason their builds don't stick.

0
Hours per week typically reclaimed
by an automated reporting workflow
0
Asset throughput increase typical
for AI-assisted campaign generation
0
Days from kickoff to first
production AI workflow
0
Phase methodology applied
to every engagement
“Most AI consultancies stop at the build phase. The work that matters happens in adoption and measurement — that's where most projects quietly die.”
From the Modus Ops methodology
Audit
2 weeks · fixed price · 90-day roadmap
Build
4–6 weeks · one production workflow · owned by you
Operate
monthly retainer · expansion, iteration, reliability
Case studies

Outcomes, not testimonials.

Detailed case studies with verified outcomes will be published as engagements complete and clients approve disclosure. Every published case includes the workflow built, the integration scope, success metrics agreed at kickoff, and measured results.

In progress
First case studies — Q3 2026

For prospective clients evaluating Modus Ops: we will share anonymized engagement details and reference conversations under NDA during the discovery process. Honest proof matters more than aggregated marketing claims.

Reference calls
Available on request during discovery

Every Modus Ops engagement begins with success metrics defined and agreed in writing — typical metrics include hours saved per workflow, throughput increase, quality scores by senior reviewer pass rate, and cost per output.

Measurement first
Defined at kickoff, reported monthly

No fabricated testimonials. No invented metrics. Real outcomes published only when clients approve disclosure.

Get started

Ready to ship
something measurable?

Book a 30-minute discovery call. We'll map your highest-impact AI opportunity in marketing operations and tell you whether we're the right fit to build it.

Book a discovery call
No commitment required
Outcomes-focused conversation
Response within 1 business day