urceni.com / ai-deployment
// AI Deployment

Fix the work that keeps getting stuck between people, tools, and inboxes.

We identify one high-cost operational constraint, define the new workflow with your team, and deploy the AI and automation required to make it run reliably.

Discuss the workflow ▸
// Start with the work already costing you
// The path

Fixed prices. Each step funds the next.

Step 01
Fit Call
$0 · 15 min

Confirms whether the problem is worth solving. No pitch if it isn't.

Step 03
Deployment Sprint
from $3,500

One bounded workflow built, deployed, and verified. Well-scoped pilots move fast; company-wide rollouts (from $8,000) are scoped before a date is promised.

Step 04
Own & Improve
from $500/mo

The system gets measured, tuned, and kept current as AI products change under it.

The $249 diagnostic is credited toward deployment if you continue within 30 days.
// How delivery works

Scope the constraint. Map the workflow, owner, input, failure point, and outcome.

Deploy the system. Build the minimum useful workflow — including access boundaries and human review.

Hand off and improve. Document ownership, train the operator, and measure whether the bottleneck actually moved.

The deployment may use Claude, Microsoft Copilot, CRM workflows, internal knowledge systems, or custom integrations. The right tools follow the workflow — not the other way around.
// Proof
Fleet-wide Claude Desktop + Outlook deployment for financial services environments — silent installs, per-group policy, admin consent, and the governance that keeps client data inside the tenant.
Our own operations run on AI agents we built and govern — triage, monitoring, reporting, and documentation. We deploy what we use.

Bring the workflow that hurts.

Fit call first. Diagnostic if it's worth it. Deployment only when the fix is scoped and priced.

Discuss the workflow ▸