Vice Labs AI helps owners and operators identify where digital labor safely fits inside real business workflows — before money gets wasted on tools, prompts, or half-designed automation.
They start with “which tool should we use?” instead of “where does work actually move, where does value leak, and what can AI safely take over?”
Employees try random tools. Nothing becomes part of the operating model. Knowledge stays fragmented.
AI gets pointed at customer-facing or judgment-heavy work before boundaries, approvals, and escalation rules exist.
The team cannot connect AI activity to cycle time, response speed, quality, capacity, or revenue protection.
A practical diagnostic that turns AI curiosity into a clear map of opportunities, risks, and one measurable pilot.
We document how work currently moves: lead flow, handoffs, tools, delays, decisions, exceptions, rework, and owner/team bottlenecks.
Each workflow is classified by where AI can draft, summarize, monitor, route, research, follow up, or automate — and where it should not.
We define what remains human, what becomes AI-assisted, what can run autonomously, and what needs escalation.
You leave with one focused AI pilot: scope, success metrics, risk controls, data needs, implementation notes, and next steps.
Designed for busy business owners and operators. Enough depth to make a real decision, without turning the first step into a six-month transformation program.
We clarify your business model, current AI usage, key bottlenecks, and which workflow matters most right now.
We walk through the real workflow from trigger to outcome, including tools, handoffs, exceptions, customer touchpoints, and decisions.
We score AI opportunities by leverage, safety, complexity, data readiness, owner trust, and measurable impact.
We choose one practical pilot with clear boundaries, required assets, approval gates, reporting, and expected operating change.
You get a short written plan: what to install first, what to defer, what to keep human, and how to know if the pilot worked.
If there is a strong fit, Vice Labs AI can help configure or coordinate the workflow, tooling, prompts, reporting, and operating rhythm.
The strongest fit is a business that already has work moving through repeatable processes, but has not yet translated AI into operations.
The first engagement is intentionally focused: understand one important workflow, identify where digital labor fits, and design one safe AI pilot you can actually evaluate.
Founding offer
Scoped after intake based on workflow complexity and implementation depth.
Short answers before you reach out.
The diagnostic is the map and pilot design. If the pilot is a strong fit, implementation support can be scoped separately so the first step stays focused and useful.
No. Tool selection comes after workflow mapping. The point is to decide what the business needs AI to do, what it must not do, and what has to be measured.
Yes. The language is operational: workflows, handoffs, approvals, exceptions, reporting, and outcomes. Technical details are translated into business decisions.
No blanket replacement promises. The work is about redesigning roles around digital labor: automate what is safe, augment what benefits from assistance, and keep high-trust judgment human.
If your team is experimenting with AI but cannot yet explain the operating model, start with workflow mapping.