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Airwave

Accelerate your AI journey with clarity. By tuning into the right wavelength, enterprises move past the AI noise, build fluency fast, and turn experiments into scalable business impact.

Airwave
Accelerate your AI Journey

Airwave is an 8-week program that accelerates enterprise AI adoption by turning ideas into tested, agentic AI solutions. Designed to cut through the noise, Airwave helps organizations build fluency quickly and create measurable impact. The program combines coaching, proven frameworks, and collaborative builds to jumpstart AI across the business. Teams capture both successes and lessons learned, fueling confidence, adoption, and momentum.

Accelerate your AI Journey

Agentic AI Solutions

These winning projects showcase how AI agents can reason, plan, and act to solve real business challenges. Each solution moves beyond experimentation to deliver measurable impact. See the possibilities in the examples below.

Agentic AI Use Cases

Accelerate AI Adoption

  • Customer-Facing Agents

    Deliver always-on support and personalized experiences that boost satisfaction and loyalty. These agents resolve inquiries instantly, streamline sales workflows, and increase conversion rates.​

  • Internal Process Agents

    Reduce manual workload by automating repetitive tasks like email, knowledge management, and approvals. Free your teams to focus on strategic, high-value work that drives impact.​

  • Insight Creation Agents

    Empower non-technical employees to access and use data without coding or complex dashboards. These agents surface insights quickly, enabling faster decisions and a more data-fluent workforce.​

  • Integration Agents

    Connect systems, bridge data silos, and orchestrate workflows across platforms. Enable interoperability and real-time visibility, creating seamless operations from legacy tools to new technologies.​
Timeline

8 Weeks to AI

  1. 01

    Kickoff & Alignment

    Weeks 1-2

    Accelerate adoption by turning experiments into outcomes. Build fluency across teams, surface quick wins, reduce risk, and create a clear path to scaling AI in your organization.

  2. 02

    Build & Test Use Cases

    Weeks 3-6

    Together, we set goals, align stakeholders, and get your teams hands-on with AI, building excitement and establishing the foundation for success.​

  3. 03

    Use Case Demos

    Week 7

    Training and sponsor feedback guide teams as they design, build, and refine prototypes into solutions with real business value.​

  4. 04

    Scale & Operationalize

    Weeks 8+

    Teams present their AI prototypes, share lessons learned, and spark new opportunities for applying AI across the organization.​

Airwave + UDig

In just eight weeks, UDig engaged 91% of employees across seven departments and prototyped 21 AI projects, building fluency quickly and unlocking real business value.

Launch Airwave
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Digging In

  • Artificial Intelligence

    Generative BI: Building a Natural-Language Analytics Engine

    Our recent exploration into generative analytics uncovered exciting possibilities for the future of business intelligence. We set out with a broad goal: to democratize analytics insights and eliminate bottlenecks by giving users a personal data analyst. The result was GenBI, an internal proof of concept demonstrating how large language models can sit on top of structured datasets, translate natural language into SQL, and generate accurate charts in […]

  • News

    UDig Announces Strategic Partnership with Coresight Research to Accelerate AI Adoption and Innovation in Retail

     Richmond, VA | December 17, 2025 UDig, a technology consulting firm focused on intuitive, adoption-first solutions that deliver measurable customer impact, announced a new partnership with Coresight Research, the leading research and advisory firm specializing in retail and technology. The relationship expands UDig’s role in the retail industry and creates new opportunities to help retailers leverage, adopt, and scale AI with greater […]

  • Retail

    Scaling Retail Resilience: 40x Faster Merchandising Performance

    Retailers have nightmares about merchandising system malfunctions on peak shopping days, causing in-store and online bottlenecks, pricing problems, and promotional errors. The potential costs from unprepared associates, confused shoppers, and lost sales can be extensive. One retailer wanted to build in system resilience to eliminate that risk.

  • Artificial Intelligence

    Agentic Commerce: Four Paths Retailers Can Take Right Now

    With over 40% of shoppers saying AI is now their primary source of insight, today’s agentic commerce tools create unprecedented visibility into consumer purchase intent and decision-making patterns. Today’s AI agents excel at surfacing clear product data and creating frictionless shopping experiences. Smart retailers already recognize agentic commerce as a differentiation opportunity, and some major […]

  • Artificial Intelligence

    From Experimentation to Enterprise: Making AI Adoption Real A Q&A with Josh Bartels, Chief Technology Officer

    Everyone’s talking about AI, but how do you actually move from buzz to business impact? We sat down with UDig CTO Josh Bartels to break down what it really takes to move beyond experimentation and build meaningful, scalable adoption across the enterprise. Q: How can organizations move beyond experimentation and start realizing real value with […]

  • Artificial Intelligence

    CNBC AI Summit – 2025 Key Takeaways

    The CNBC AI Summit in Nashville wasn’t just another tech event. It was a thoughtful showcase of where artificial intelligence meets business, art, regulation, and the future of work, all staged in a jaw-dropping venue that perfectly framed the city’s iconic skyline. Comfortable seating encouraged real conversation, and the fluid setup made it more like […]

  • Artificial Intelligence

    Paid Media Analyzer Prototype

    Built during UDig’s internal Airwave program, this prototype delivers automated Google Ads intelligence that pinpoints what’s working and what’s not, freeing teams from manual reporting and boosting ROI through faster, data-driven decisions.

  • Artificial Intelligence

    Generative BI Prototype

    Built during UDig’s internal Airwave program, this prototype lets users explore enterprise data in plain language through a conversational interface that translates questions into SQL and instantly returns results as charts or insights.

  • Design

    Visual QA Checker Prototype

    Automates visual QA by checking builds against design specs and rules, flagging inconsistencies early so teams deliver higher-quality products, faster handoffs, and smoother launches.