Author: Agile Brand Guide

For the better part of a decade, enterprise marketing leaders have championed a singular cause: the frictionless customer experience. We’ve invested millions, if not billions, in optimizing the path to purchase, streamlining checkouts, and crafting generous, customer-first policies.

The 2026 AI Commerce Readiness Index by Aidō Lighthouse, which analyzed over 345 retailers across ten industry categories, used a proprietary D/U/T Framework—Discoverability, Understandability, and Transactability—to assess site readiness. The findings underscore an urgent need for senior marketing and CX leaders to re-evaluate their digital infrastructure to prepare for…

New Google Ad Manager integration increases advertiser demand for marketplace ad inventory

When you strip away the vendor superlatives, a clear pattern emerges: the industry is bifurcating between organizations that are embedding AI into the actual connective tissue of their marketing operations (data, identity, and workflow orchestration), and those still bolting AI features onto legacy stacks and calling it transformation.

This AIMG Benchmark Study, conducted in March 2026, synthesizes insights from 2,048 enterprise decision-makers and 150 AIMG experts to assess this evolution, highlighting that the central challenge for leaders is no longer if to adopt AI, but how to scale it for transformative impact.

Double Good, the fundraising app that enabled nearly 75,000 youth organizations to raise more than $125 million in 2025, today introduced new capabilities to improve fundraiser performance by giving organizers more flexibility in how they run their fundraisers. 

Yesterday’s press releases paint a picture that is simultaneously encouraging and sobering for CMOs navigating their brand’s AI adoption journeys. The dominant theme is not AI adoption — that battle is largely over. According to AIMG’s new benchmark study, 87% of enterprises are already using AI and 70% have…

Today, we’re going to talk about what happens after the initial hype cycle of generative AI. We’re moving past the novelty of prompting for images and into the far more complex challenge of operationalizing AI at enterprise scale. This isn’t just about adding a new tool; it’s about re-architecting…

A recent Zapier survey involving 542 U.S. C-level executives and decision-makers, reveals a significant dependency on AI vendors. Nearly three in four enterprises anticipate operational disruption if an AI vendor’s services are terminated, highlighting an urgent need for robust strategies to ensure flexibility and resilience.

Newly certified FedRAMP High design tool helps U.S. agencies rapidly transform aging applications for more efficient operations