For the C-Suite

AI velocity without the liability.

Three outcomes the board is already asking about: protect the brand, drive adoption, save costs.

Prism Overview dashboard: incident rate, user impact, and most violated policies for production AI

How we work with customers.

WEEK 0

30-minute demo. We bring the environment. You bring the hardest problem.

WEEK 1–4

Free POC in your environment, against your real traffic, on your real models. Scoped to the AI failure modes of most concern. We fly out if you want us to.

WEEK 5+

Production. Direct Slack with the team that built it. No tier-1 ticket queue.

You signed off on the AI initiative. The product team is shipping. The board is excited. And underneath, the number you can't see is the rate at which AI failures are accumulating in production. User trust eroding. Inference costs running ahead of forecast. Regulators sharpening pencils.

You don't need another technology brief. You need the dashboard that tells you whether AI is creating value faster than it's creating liability.

What Realm gives the C-Suite.

PROTECT THE BRAND


Public AI failures erode trust overnight. 73% of users abandon a product after one bad AI experience. Realm catches and stops the failures that end up on the front page, and produces the audit trail that defends the deployment to the board.

DRIVE ADOPTION UP


95% of GenAI pilots fail to deliver measurable P&L impact. Most stall because the product team can't tell what's going wrong, and the security team won't sign off on what they can't see. Realm gives you the visibility to ship and the controls to iterate.

SAVE COSTS


Inference costs overrun forecasts by 4× on average. Loops, recursion traps, and verbose outputs compound into untraceable cost. Realm surfaces the quality and cost bottlenecks, then gives you the policy levers to route around them.

The only platform purpose-built for the executive who has to defend AI in front of the board.

What good looks like at the executive level.

01

A single number for AI failure rate, trending in the right direction quarter over quarter.

02

Inference cost per output, trending down as you tune routing and reduce loops.

03

A board-ready compliance posture that doesn't require a fire drill before every audit.

What the C-Suite buyer actually asks first.

What's the ROI?

Two compounding numbers: avoided brand-damage incidents and reduced inference cost from policy-driven routing. Specific modeling in your demo.

Can this be a six-month vs three-year decision?

Yes. Most deployments stand up a working POC in under 30 days and move to production in under 90.

How does this fit with our existing AI stack?

Realm sits as a sidecar or via an AI gateway in front of any model provider or agent framework. No model swap, no prompt rewrite, no re-architecture.

What if my AI strategy changes?

Realm is model-agnostic and framework-agnostic. OpenAI, Anthropic, Gemini, and self-hosted models. Same instance.

What about the board narrative?

A single number for AI failure rate, mapped to brand, adoption, and cost. Quarterly evidence the board can read in two slides.

Brief the board on what your AI is actually doing.

30-minute working demo. Bring the question your CEO asked you last week.

RUNTIME AI OBSERVABILITY AND CONTROL

See Realm in your environment.

30 minutes with the Realm Labs team. We tailor the demo to your stack. No slideware.

Use your work email. We auto-route you to the right person on our team.

Built on the same interpretability research foundation used at Anthropic, Google DeepMind, and OpenAI.