Your AI team.Without the hire.
Working software, measurable value, defensible controls. No new internal department required.
Operating model
Your team is already
using AI.
The bad news: without visibility, you're exposed to compliance risk and leaving real performance gains on the table.
Managed AI closes both gaps, on a clear operating cadence.
01
Shadow AI review before sensitive work spreads
Map active usage, approved tools, and data boundaries.
02
Production builds tied to executive ownership
Rank use cases by value, risk, readiness, and owner.
03
Audit evidence created as systems ship
Document controls, review loops, training, and operating procedures.
Without management
Default state
- Teams paste sensitive work into AI tools before risk is evaluated
- Executives debate policy while manual processes drain time
- Promising pilots stall because no one owns the path to production
With managed AI
Alongside operating
- AI use cases ranked by value, risk, and readiness
- Working software shipped with training and controls attached
- One partner accountable for strategy, engineering, training, and governance
Four pillars.
One managed service.
Strategy, engineering, enablement, and governance under one team. We start with what's costing you money, not with which AI model is newest.
Strategy lane
Ranked build plans: what to automate, buy, block, and how to measure value.
Engineering lane
Assistants, automations, knowledge systems, and integrations with security controls attached.
Enablement lane
Role-specific training on deployed workflows, not generic prompt tricks.
Governance lane
Controls, data boundaries, approval paths, and audit evidence for regulated teams.
Assess. Deploy.
Manage.
A clear path from first risk map to managed delivery. No open-ended consulting phase.
Risk map
Delivery
Ongoing
01 - Map
Identify AI use, risk surfaces, data boundaries, and the first build sequence.
02 - Build
Deploy working systems with training, documentation, and controls attached.
03 - Operate
Review usage, tune workflows, close control gaps, and add capabilities as the business learns.
You work with
the founders.
No layers and no handoffs. The people on the call are the people who map the risk, build the systems, and run them.
Evan Glaser
Co-founder / Governance + risk
AI governance and strategy lead. AIGP certified. AI security, threat intelligence, and regulated adoption experience.
Jon Lasley
Co-founder / Secure systems
Engineering and platform architecture lead. Cybersecurity and regulated software background.
Ecosystem
Formal relationships with the platforms and providers we deploy for clients.
OpenAI
SMB Channel Partner
Airia
Partner
Asc3nd Technologies
Partner
Security pedigree.
Governance certification.
Builder DNA.
We're not the only AI managed service. Here's why regulated companies choose us.
Security-native operators
Backgrounds in AI security, threat intelligence, and regulated systems. We treat AI adoption as an operational risk problem, not a tooling trend.
AIGP-informed controls
AIGP certification informs policies, data boundaries, review loops, and evidence trails.
Builder discipline
We translate plans into software, workflows, training, and an operating cadence.
One accountable partner
One managed capability covering strategy, engineering, training, and controls.