Solution
AI Marketing
Apply generative and predictive AI to content production, decisioning and discovery with brand and governance controls intact.
Overview
Building ai marketing that lasts
Apply generative and predictive AI to content production, decisioning and discovery with brand and governance controls intact. That definition matters, because ai marketing is a capability an organization builds, not a product it buys — the license is necessary but nowhere near sufficient.
The organizations that get ai marketing right share a pattern: they treat identity, consent and data quality as the foundation rather than an afterthought, they connect the platforms below into one governed system instead of running them as silos, and they put named owners on the capability so quality survives team changes. The outcomes listed on this page follow from that discipline far more than from any individual product feature.
DWAO builds ai marketing programs end to end — architecture, product implementation, the integration work between platforms, and the enablement that makes the capability stick. Because we implement every product in the stack below, one accountable team covers the whole system rather than handing problems across vendor boundaries.
A typical program starts with a short assessment of your current estate and data readiness, ships a first production use case within a quarter to prove value, then extends capability in measured phases. Each phase is justified by outcomes — higher creative variant volume at controlled cost first — with the measurement built into the platform so the program reports its own return rather than claiming it.
Outcomes
What this solution delivers
- Higher creative variant volume at controlled cost
- Measurable presence in AI-mediated discovery
- Brand guardrails enforced on generated output
How we deliver it
Products plus the work between them
No single product delivers ai marketing on its own — the value lives in how the platforms below are connected, governed and adopted. Our engagements cover the products and the connective work: identity, consent, integration and enablement.
AI Marketing — frequently asked questions
What is ai marketing in practice?
Apply generative and predictive AI to content production, decisioning and discovery with brand and governance controls intact. It is delivered by combining the right Adobe products with the integration, governance and enablement work between them.
Do we need all 3 products to get started?
No. Most programs start with one or two platforms against the highest-value use case, prove the return, and extend from there. The architecture is designed for the full capability from day one so later phases build on the same foundations instead of reworking them.
How long does a ai marketing program take?
A first production use case typically ships within a quarter. The full capability is usually a twelve-to-eighteen-month roadmap delivered in phases — each phase justified by measurable outcomes, not by the roadmap's own momentum.
How do we measure the return on ai marketing?
Against outcomes agreed before implementation starts: higher creative variant volume at controlled cost is typically the headline, with supporting operational metrics per phase. We build the measurement into the platform itself so the program reports its own value.
Can you work with platforms we already own?
Yes. Most engagements start from an existing estate — some Adobe, some not. An assessment maps what you have against the target capability and produces a roadmap that reuses everything that deserves reusing.
Scope a ai marketing program
Tell us where you are and what you're trying to achieve. A certified consultant from DWAO will come back with a practical next step — not a sales pitch.
- Adobe Gold Partner with certified specialists
- Response within one business day
- Delivery teams across five countries
Thank you — we've got it.
An Adobe-certified consultant will reply within one business day.