Services
High-stakes workflow rescue and controlled-environment AI for organizations where the system has to work on Monday morning.
We don't sell strategy decks. We build and operate production systems — and we help organizations fix the brittle ones and deploy AI where reliability, privacy, and auditability matter. Every engagement is led by a former CEO who personally built a platform independently audited at $20–35M in replacement value.
Workflow Rescue Diagnostic
Find the real bottlenecks. Get a plan that works.
We map the actual workflow — not the one in the slide deck, the one your people run every day. We identify the bottlenecks, exception paths, manual workarounds, and integration failures that are quietly costing you money and reliability.
Deliverables
- •Workflow mapping of real operational processes (not theoretical)
- •Bottleneck and exception path identification with root cause analysis
- •Integration risk assessment across systems and partners
- •Prioritized rescue plan with concrete steps your team can execute
- •Executive briefing on findings and recommended direction
Who this is for
Organizations whose operations depend on systems that are brittle, manual, or stuck between legacy and modern. Healthcare, logistics, manufacturing, multi-site operations, PE portfolio companies post-acquisition.
Typical timeline
2–3 weeks
Controlled-Environment AI Implementation
Deploy AI where control, privacy, and auditability matter.
AI adoption fails when it's treated as a technology project. It succeeds when it's treated as an operational transformation — one that starts with understanding how people actually work today, then carefully introduces tools that make that work better, safer, and more equitable. We evaluate, design, and implement AI inside environments where the system has to explain itself to a board, survive an audit, and protect sensitive data.
Deliverables
- •AI readiness assessment — infrastructure, data quality, workforce skills, organizational appetite
- •Use case identification and prioritization scored on feasibility, risk, cost, and mission alignment
- •Governance framework — policies, tool vetting process, data handling guidelines, accountability structures
- •Role-specific training and change management
- •Implementation support for priority use cases with hands-on guidance through early adoption
- •Measurement framework with defined KPIs per initiative
Who this is for
Healthcare foundations, health systems, PE-backed operations, regulated industries, and any organization where AI must work reliably without creating new risks for the people it serves.
Typical timeline
8–12 weeks depending on scope
Advisory & Technical Leadership
Senior hands-on architecture from someone who ships.
Not a slide deck. Not a strategy document that collects dust. Hands-on technical leadership from someone who has built and operated 7+ enterprise platforms across healthcare, retail, hospitality, and transportation — and personally wrote the code for a system independently audited at $20–35M in replacement value.
Deliverables
- •Architecture review and technical strategy aligned to business objectives
- •Technology stack evaluation and build-vs-buy analysis
- •AI integration strategy for existing production systems
- •Technical due diligence for acquisitions (PE-focused)
- •Team assessment and engineering leadership guidance
- •Ongoing advisory retainer with direct access
Who this is for
PE firms evaluating or integrating portfolio companies. Health systems navigating AI adoption. Startups that need a CTO-level perspective without a full-time hire. Any team that needs someone who has been in the room when systems break at 2 AM.
Typical timeline
Ongoing retainer or project-based
AI Agent Security Audit
Know if your AI agents are safe before your auditors do.
The AI agent era is here — OpenClaw has 250,000+ GitHub stars and Jensen Huang says every company needs an agent strategy. But Gartner called the most popular agent platform "insecure by default," and 92 security advisories in three months prove the point. We built the tooling to assess whether your AI agent deployment is enterprise-ready, and we deliver the remediation plan to make it so.
Deliverables
- •Automated security scan of AI agent installations (configuration, permissions, credential exposure)
- •Vulnerability assessment against known CVEs and attack vectors
- •Marketplace/skill supply chain risk evaluation
- •Remediation report with prioritized fixes
- •Governance recommendations for ongoing agent oversight
Who this is for
Any organization deploying AI agents (OpenClaw, custom agents, or multi-agent systems) in production environments. Especially relevant for healthcare, financial services, and regulated industries where a breach has real consequences.
Typical timeline
1–2 weeks
Industries we work in
We build production systems across regulated and operationally complex industries. Not because we chase verticals — because the pattern is the same everywhere: broken workflows, fragile integrations, and AI that needs to work where failure has consequences.
Healthcare
1M+ certifications across 35 states. $20–35M independently audited platform. 99.9% uptime. Zero contract losses in 12 years.
Transportation & Logistics
Rail logistics platform integrating Class I railroad APIs with real-time tracking across US carrier networks.
Retail & Manufacturing
85% productivity increase and 10K+ daily transactions for flooring installation management across senior living communities.
Hospitality & Multi-Site Operations
Operations platform for Fortune 500 campground and resort network, running reliably for 20+ years.
Financial Services
Enterprise reconciliation and compliance platform serving 300+ Fortune 1000 companies at Trintech.
Ready to talk?
No pitch deck. No discovery call script. Just a conversation about what's broken and whether we can help fix it.