AI governance
Policies, access, risk ownership, and operating evidence.
Managed AI Operations
A clear service path.
The capability to do the work.
Start with a focused improvement. Put an operator behind the systems that need ongoing ownership. Add a private environment when the business case calls for it.
Three service layers. One operating model.
01 / Understand & improve
Private betaElevated AI GatewayRouting · Budgets · Access · EvidenceOptional control layer. Start with your existing tools.Blueprint
Two weeks to map the environment, baseline cost, and implement one improvement.
$7,500 fixed02 / Operate & optimizeVirtual AI Ops
A named operator, a regular review cadence, and an owned improvement backlog.
Starting at $5,000/month03 / Add control when justifiedManaged Private AI
A tailored deployment when your requirements make private AI the right choice.
Optional · scoped implementationThe specialist work inside the engagement.
These capabilities support the operating plan. Each is scoped around the business outcome and the systems involved.
Automation & integration
Connected workflows with monitored execution and clear handoffs.
Voice AI
Conversation design, connected workflows, and ongoing review.
AI consulting
Decisions about priorities, architecture, and the next practical improvement.
AI transformation
A coordinated operating model across existing initiatives.
Custom AI
Focused applications and integrations around a real operating need.
What we operate
Cost & usage
Know which workflows create spend, what they deliver, and where the next budget decision belongs.
Models & routing
Match the work to a suitable model. Review changes before they alter the behavior your team relies on.
Governance & control
Give policies an owner, document decisions, and keep access and data handling connected to everyday work.
Reliability & response
Watch execution, review failures, coordinate escalation, and make recovery a repeatable process.
Integration & handoffs
Keep AI connected to your CRM, service desk, business systems, and the people responsible for the next step.
Evaluation & improvement
Review output against agreed criteria and turn operating evidence into a prioritized improvement backlog.
Working through an MSP?
Keep the client relationship. Add an accountable AI operating practice.
Make the next step concrete
Put an operator behind your AI.
Start with a two-week Blueprint. Leave with an operating plan and one improvement already in place.