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AI Services for Marketing Operations

Your company has an AI mandate. Someone above you decided that this is the year, the budget exists, and marketing operations is the part of the organization still working out what to do with it. That is a different problem from being convinced AI matters. You are past that. The question in front of you is narrower and harder: what is actually worth building inside Adobe Marketo Engage, Iterable, and the revenue systems around them, and who can build it without breaking the campaigns you are already running. Etumos is a B2B marketing operations consultancy. Our AI marketing operations services build and operate AI agents and AI tooling inside production marketing automation, demand generation, and revenue operations systems.

What an AI Mandate for Marketing Operations Usually Needs First

Teams buying AI marketing operations services rarely need a strategy deck. They need two or three concrete things built, running, and trusted, so the mandate has something to point at by the end of the quarter. In practice the useful projects are descriptive before they are generative. They tell you what is true in a system that has become too large to hold in your head. Idea generation is the part AI is worst at and the part your team needs least.

Where We Work

Visibility across what is scheduled

Marketing automation platforms are good at scheduling and poor at showing you the whole picture. When a newsletter, a webinar invitation, and a nurture step are built by three different people, nobody can answer what is actually going out next week. That is a reporting feature that did not exist until recently and is now straightforward to build.

Anomaly detection and reporting

Something breaks quietly, or something spikes, and the team finds out from a person rather than a system. Detection against each program’s own baseline is ordinary engineering once the data is somewhere you can query it.

Agents that act on real systems

Scoring, routing, alerting, and triage wired into Adobe Marketo Engage through governed integrations, with a human in the loop and an audit trail behind every decision the model contributes to.

How We Build It

Every engagement puts deterministic code where correctness matters and a model only where language or judgment is genuinely the product. Sequencing, routing, retries, alerting, and quota arithmetic are code, because they have to behave identically on every run. Summaries and messy classification are where a model earns its place, and those outputs are recorded as derived so a person can audit them. That split is not a philosophical preference. It is what keeps an AI project in production past its first month.

Talk to Us

If you have an AI mandate for marketing operations and are looking for a partner rather than a proof of concept, tell us what you are trying to build. Contact Etumos