Solution Brief / Applied AI

The Most Capable B2B AI on the Planet.
Configured to Speak Ad Sales.

Here’s the AI adoption story that plays out at most media organizations: someone on the leadership team gets excited, a few people start using it individually, no one agrees on what it should be used for, and six months later the “AI initiative” is two reps cleaning up email subject lines and a Slack channel nobody posts in.

That’s not an AI problem. That’s a rollout problem. We don’t hand you a license and wish you luck — we architect the implementation, configure the platform, build the use cases, and manage the change so Claude becomes part of how your organization runs.

The Rollout That Sticks

Most AI Initiatives Fail on People, Not Technology

AI initiatives rarely fail because the technology doesn’t work. They fail because the rollout didn’t account for the people, the processes, and the organizational context that determine whether a tool gets adopted or ignored.

Our D(3P) framework — Data, People, Processes, Platforms — means that before we deploy anything we’ve mapped the real friction points in your Revenue Operations, identified the highest-value use cases for your specific team, built the enablement that gives people confidence, and established feedback loops to improve the deployment over time.

Governance That Holds Up

AI governance matters especially in media and ad sales, where you operate with sensitive advertiser data, competitive information, and revenue forecasts that require real controls. V2 designs Claude deployments with data governance, access controls, and usage guidelines that keep your information where it belongs.

Why V2

What a V2 Claude Deployment Looks Like

01

Not a license and a wish.

We architect the implementation, configure the platform, build the use cases, and manage the change. The deployment is the deliverable.

02

Use cases chosen for your team.

We identify the highest-value applications for your specific Revenue Operations workflows instead of handing out generic prompt libraries.

03

Change management, not just build.

Enablement materials, training, and feedback loops so the tool is still in use in month nine.

04

Built for advertiser-grade sensitivity.

Data governance, access controls, and acceptable use policies designed for competitive information and revenue forecasts.

05

Connectors instead of custom code.

Anthropic’s rapidly growing set of approved connectors unlocks data from your other systems without coding every integration.

06

Complementary to your Google stack.

Google and Claude aren’t mutually exclusive. We architect Claude as part of one coherent RevOps intelligence layer.

Scope of Advisory

Areas of Claude We Advise On

  • Claude Chat
  • Claude Code
  • Claude Design
  • Haiku vs. Sonnet vs. Opus model selection
  • Skills
  • Projects
  • Connectors
  • MCP Servers
  • Licensing & token burn rate strategies
  • Data security, governance & acceptable use policies
  • Training coursework & adoption strategies

Ready to Talk About AI Readiness?

Ask us about a six-to-eight-week assessment covering Claude and the rest of your platform stack.

Get In Touch