At your scale, AI mistakes become public.
We help high-stakes enterprises move from scattered AI experiments to AI adoption across the business that is governed and measured. Our founders have Fortune 50 enterprise and hyperscaler backgrounds, so we have dealt with enterprise complexity, multi-stakeholder sign-off, and brand risk firsthand.
A 30-minute conversation with a partner, with no commitment.
No one can say yes for the whole company
If a vendor screening tool misses a red flag, it can make the news. If a well-meaning team pastes sensitive data into an unapproved AI tool, the company may have to disclose a breach. A rollout can be approved by IT, blocked by legal, and used anyway by three business units that never heard either decision.
At this scale, no single regulator, department, or person can approve AI for the whole company, so we plan the work around that.
Pilots stall before production
Most enterprise AI efforts stall between experimentation and production. Teams test tools, legal raises concerns, IT reviews drag on, business units move independently, and no one has a clear path from a promising use case to scaled adoption.
Regulation stacks up
One company can be subject to SEC reporting, consumer protection, data privacy law, and industry-specific rules at once, and each one gives someone a defensible reason to do nothing.
Mistakes don’t stay internal
A mistake can reach customers, media, shareholders, and regulators within hours.
Approval is spread across groups
A yes from IT, a no from legal, and a maybe from a business unit VP can stall a project before it delivers anything. We get these groups to agree early so AI work can move from idea to approved implementation.
Vendor AI is under scrutiny too
More companies are reviewing AI tools as rigorously as a financial audit, and most adoption plans don’t allow for that review. Organizations will also be asked more often why they passed on tools that could have cut costs or improved service, as well as how they adopted AI.
How we work with high-stakes enterprises
We start wherever AI is stuck: unclear strategy, uneven employee adoption, legal or security concerns, too many pilots, vendor uncertainty, or a high-value workflow that needs to become a production-ready AI tool.
Training and Enablement
Workforce AI fluency built around your approved tools, policies, and employee workflows, so teams know what they’re allowed to do with AI and where it makes a real difference to their work.
See Training and EnablementStrategy and Consulting
We rank AI opportunities by business value, risk, feasibility, and readiness, then build the roadmap, governance model, and adoption plan and get stakeholders to agree on them, so scattered experiments become company-wide use.
See Strategy and ConsultingAI Engineering
Custom AI tools, agents, and workflow systems built for what enterprises require: security review, legal approval, sensitive-data boundaries, user adoption, measurement, and production use.
See AI EngineeringWho we serve inside high-stakes enterprises
Global consumer and retail enterprises
Large, well-known consumer brands using AI in customer-facing and brand-related work, where any mistake happens in public.
Industrial and cooperative enterprises
Large industrial, agricultural, and cooperative organizations building internal AI governance and fluency across the whole workforce as well as the executive team.
Work we’ve done for clients
A national big-box retail chain
The team worked with us to prototype an agentic tool that can check a portfolio of thousands of philanthropic and community partners against corporate risk criteria. That manual research could become an AI vetting agent that runs continuously and flags changes over time, in place of a full annual review.
A global agribusiness
A day-and-a-half summit that prepared 50+ HR leaders to lead the company through AI, with hands-on practice in its approved tool and responsible use worked through against its own policy.
Read the case studyFrequently asked questions
We make enterprise AI governed and measurable.
In a 30-minute briefing, we’ll talk through where AI is stuck in your organization and how to move it forward.
You’ll talk with a partner, and there’s no commitment.