Everyone’s investing in AI; few are winning.
Despite heavy spending and widespread rollout, just 29% of organizations are seeing significant returns from generative AI, according to Writer’s 2026 Enterprise AI Adoption Survey.
Mission Cloud, a CDW company, says the issue isn’t a lack of enthusiasm; it’s that leadership teams often have too many AI ideas floating around and no real process for figuring out which ones are worth pursuing.
To address that, the company announced Wednesday that it’s rolling out five new AI offerings designed to guide organizations through every stage of the journey, from selecting the right project to running it in production.
Breaking the AI logjam in 90 Minutes
Many organizations find themselves paralyzed by a surplus of ideas but zero direction on how to execute them. Mission Cloud’s remedy to this is AI on Mission (AIM), a complimentary 90-minute workshop that serves as the entry point for the entire suite.
Powered by the AWS AI Roadmap Prioritization (AIR) framework, AIM brings cross-functional leaders together and requires absolutely no prior technical experience to map out practical use cases directly tied to business goals.
Ted Stuart, President and COO at Mission Cloud, highlighted the framework’s accessibility.
“AWS built a rigorous framework for helping organizations think clearly about AI investment with AIR,” Stuart said. “What we’ve built around that framework is a session where any leader, regardless of their technical background, can walk in, think freely about the possibilities, and leave with a concrete plan.”
Stuart added that the company’s objective is to coach teams through the possibilities and map a clear path to deployment.
“Whether you have zero knowledge of AI or are an expert, this will be a fruitful conversation for you,” he noted.
Sprints, MVPs, and autopilot agents
For businesses ready to act on their newly minted roadmaps, the remaining four products in the suite act as chronological stepping stones:
- Quick 5x5x5: A partner-funded, five-day sprint tailored for analytics. It sets up Amazon Quick for five users across five data connectors, creating a searchable knowledge base and automated workflows.
- Fixed-Fee Chatbot MVP: A production-ready, AWS-native conversational AI built in three weeks at a locked price. It uses Retrieval-Augmented Generation (RAG) to safely search the company’s internal data. Crucially, the customer owns the infrastructure from day one with zero per-seat licensing fees.
- Agent-Enabled Chatbot Limited Pilot: Taking AI from a passive assistant to an active worker, this six-week pilot adds agentic capabilities. Up to two AI agents link directly to backend APIs to complete tasks, utilizing human approval safeguards for any writing actions.
Safe grounding for AI operations
Deploying individual AI applications can quickly lead to fragmented, broken systems if they aren’t managed properly.
Mission Cloud’s final piece of the puzzle is the AI Landing Zone.
This is the foundational environment where all deployed AI agents live. Built around AWS best practices, it handles the less glamorous but utterly vital pillars of enterprise tech: security, cost governance, application delivery, and observability.
By standardizing the environment, businesses avoid chaotic one-off deployments and gain consistent, auditable operations that can actually scale.