Leadership needs to decide where AI fits

Rafay's internal knowledge was fragmented across Slack, Jira, and Zendesk, marketing content creation couldn't scale manually, and there was no predictive monitoring for.

Agital had deployed AI tools including ChatGPT, Copilot, and Gemini, but adoption was entirely ad hoc, siloed within teams, and untracked at the organizational level.

Construction ranks among the lowest AI-adoption sectors nationally, and generic AI training gave leaders no connection to their operational roles.

The company had failed prior acquisition attempts.

The nonprofit was operating with multiple incompatible strategic visions across its board and executive team, blocking coordinated decision-making.

One of the world's largest financial services companies needed to understand how agentic AI would reshape its marketing and advertising.

As payment actions begin to be delegated to AI agents, an enterprise needed a way to build and sustain human trust in agentic payments across the organization.

Leadership, including the COO, head of AI, head of due diligence, CFO, and deal partners, was not aligned on AI priorities and was weighing competing vertical tools.

The manufacturer had grown organically across multiple regions over decades, and its complexity had outpaced its data infrastructure.

Majestic Machine was preparing for a future sale but still operated as a founder-led business dependent on its owner.

LYNK Capital had a significant operational bottleneck that constrained its team's capacity.

With a private-equity exit on the horizon, Adams Automotive needed to prove it was a scalable, technology-first platform rather than a loose collection of repair shops.

A retail payments company was preparing to launch a new product into an increasingly crowded market.

News Corp's business units were pursuing AI independently, evaluating dozens of vendors, duplicating efforts, and buying tools without a shared framework for measuring.

An early-stage, venture-backed startup had some team members who sensed generative AI was relevant to their business but could not articulate why or how to act on that.

A top-5 national bank in Spain wanted to pursue AI but lacked a coherent strategy for where to invest.

A commodity legal services firm managing clients through a lengthy, regulated legal process recognized AI's potential to automate repetitive workflows, but when the CEO.

Southwest Airlines' marketing team relied on largely manual go-to-market campaign processes, including repetitive copy-paste actions between tools and documents.

A growth-stage creative agency in Los Angeles was poised for rapid expansion but lacked the technological infrastructure and AI expertise to scale sustainably.

A strategic marketing services firm specializing in brands navigating complex, emotionally fraught buying decisions, healthcare patients, B2B buyers, faced a crisis when.

A $20M B2B professional services firm with eight years of history appeared successful from the outside but had plateaued.

Trek’s Director of Advanced Technologies wanted to bring AI into the organization but faced a sprawling value chain, frozen budgets, hiring freezes, and post-COVID.