Where AI decisions affect revenue, operations, or compliance.
No room for hallucinations. No tolerance for ungoverned execution.
Led $1.3B division globally | 99.99% uptime on mission-critical platforms | 12 patents in distributed systems and governance
Maximum 3-5 strategic engagements per quarter. All work personally led by founder.
Consultants deliver beautiful PowerPoints about AI transformation. When engineering tries to build it, governance requirements weren't designed in from day one.
Pilot succeeds in sandbox. Production fails when compliance, audit trails, and real-world policy enforcement are required at scale.
AI is layered onto legacy platforms not designed for governance. Result: technical debt, security gaps, failed audits.
Finance asks why we gave this discount. Sales can't explain the AI's recommendation. Operations can't prove routing decisions. No audit trail exists for revenue-critical actions.
We bridge boardroom strategy and runtime execution using governance patterns from $1B+ regulated platforms.
Built platforms where failure meant regulatory exposure, revenue loss, or reputational damage. Advice comes from execution experience, not frameworks.
Design what AI can and cannot do before writing code. Policy-as-code, evidence requirements, and human authority built in from day one.
Every engagement is time-boxed (30-90 days) with measurable KPIs. We succeed when you hit targets, not when we bill hours.
Governance frameworks work with any technology. ArkAI platform execution is an option, not a requirement.
Outcomes designed through ArkAI Advisors can be enforced by the ArkAI execution system at runtime — or implemented with your chosen technology.
Design governance framework
Platform enforces at runtime (optional)
You control everything
ArkAI platform execution is optional. Governance frameworks can be implemented with any technology stack.
Learn About Platform Execution →Globally under continuous regulatory audit
On mission-critical platforms where downtime = crisis
From governed decision orchestration and automation
Distributed systems, automation, trust infrastructure
We work with organizations where AI failure creates revenue, operational, or reputational risk:
Revenue growth, retention, partner ecosystems, multi-product complexity
Companies like: Salesforce, HubSpot, ServiceNow, GoTo, Zoom
Logistics, supply chain, manufacturing, high-volume decision automation
Companies like: 3PL providers, fulfillment networks, freight brokers
Financial services, healthcare, government where compliance is mandatory
Companies like: Banks, FinTech, MedTech, FedRAMP contractors
Platform companies where AI is the product, not just a feature
Companies like: Developer tools, data platforms, AI infrastructure
Typical Buyers:
CIOs driving revenue growth • CTOs modernizing platforms at scale • COOs optimizing high-volume operations • Compliance leaders in regulated industries
SaaS platform with $5M ARR in partner-led motion. Partners lacked visibility into expansion signals, leaving revenue on table. No governance on discount approvals.
Designed governed partner notification system: when customer usage hits expansion threshold, partner gets alert with pre-approved offer. Every deal auditable.
Partner-sourced expansion ARR increased 35% in first quarter. Zero discount violations. Client owns the repeatable pattern.
30-minute complimentary readiness call to assess fit.
No sales pitch. No obligation.