Built in Las Vegas

Put one high-value workflow into production in your Las Vegas business.

We work with hospitality groups, property operators, and established businesses to build one bounded production workflow in 4–6 weeks. Production Sprints are $40K–$75K, subject to baseline, scope, accountable ownership, and access readiness.

Faster responses. Less manual work. Clearer information.

Start with a result your team cares about. These are examples of workflows we can design around your people, systems, and review requirements.

Hospitality & entertainment

Keep inquiries moving.

An event inquiry arrives by email. AI can organize the details, flag missing information, and prepare a reply for your team to review so the next step is clear.

  • Event and group inquiries
  • Guest request routing
  • Follow-up preparation
AI for hospitality

Property operations

Spend less time chasing updates.

A maintenance request needs attention. AI can summarize it, help route it to the right person, and track vendor updates while your team handles approvals and urgent decisions.

  • Maintenance intake
  • Vendor coordination
  • Invoice review preparation
AI for property operators

Established service businesses

Make information easier to use.

A weekly report pulls people away from their work. AI can organize source documents, assemble a draft, and flag gaps for review before the information reaches a client or manager.

  • Management reporting
  • Document intake
  • Client and project handoffs
AI for service businesses

Build. Adopt. Measure.

A Production Sprint is the default. When the baseline, scope, ownership, or access is not ready, we use focused readiness work before making a build commitment.

Production Sprint · $40K–$75K

Put one workflow into production in 4–6 weeks.

For a workflow with a usable baseline, bounded scope, accountable owner, and access readiness. We build, test, roll out, train, and measure the production workflow.

Discuss a Production Sprint

Rollout and adoption

Make the workflow work in the operation.

We test with the people inside the workflow, define ownership and exceptions, communicate the change, train the team, and support measured adoption.

See the delivery approach

Measured continuation

Operate, improve, or hand off based on evidence.

After launch, measure use, quality, exceptions, cost, and the agreed outcome. Continue through a Managed Workflow or AI Operating Partner arrangement when ongoing work is justified.

Discuss ongoing operations
Explore the work

See what changes
when the inputs change.

Try an operating handoff, an AI business case, and a five-case workflow test. Switch scenarios, compare controls with shortcuts, and inspect the evidence in our interactive workbench.

Illustrative simulations with fictional data. No sign-up required.

Josh Sigel, founder of Lasso
Led by an operator

Technology decisions shaped by business experience.

Lasso founder Josh Sigel brings more than 20 years of experience across technology, retail, distribution, and hospitality. His background includes technology leadership at UNFI and a founding-team role at Innit.

At Lasso, he leads the work from the business priority through system design and delivery, with a team of builders and AI practitioners.

Make the next step clear.

Start with the business problem. We will help define the work, the expected benefit, and the conditions needed to make it useful.

01
Understand the work
Show us the task, the people involved, and where time or information gets lost. We assess whether AI is a useful fit.
02
Agree on the right scope
Define the deliverables, systems, review responsibilities, price, and schedule. A planning engagement and a working implementation are distinct commitments.
03
Build, test, and manage
For implementation work, test the system with your team before rollout. Agree how results will be measured and who will support it in daily use.
Discuss your workflow

A few things to know before we start.

Do we need an internal AI or engineering team?

You do not need a dedicated AI team. We work with your operating leaders and coordinate with internal IT, software vendors, and other partners as the scope requires. Your team provides business context, access, and the people responsible for decisions.

Can you work with the software we already use?

We start by reviewing your existing tools and how information moves between them. We confirm available integrations, data access, and security requirements before recommending a build.

Does a plan or blueprint include a deployed system?

A planning engagement defines the opportunity and the recommended approach. Implementation requires its own agreed scope, access, testing, and rollout. We make that distinction clear before work begins.

Can you help with a larger system or multiple locations?

Yes. Lasso also designs custom platforms, internal tools, and workflows across teams or locations. We can begin with one process to understand the requirements, then plan the broader system around the business.

What stays under human control?

We agree which actions AI may take, which need approval, and when a person must step in. The design includes review points and a way to handle exceptions. Ongoing monitoring and support are defined in the engagement.

What would you like your business to do better?

Tell us where your team is spending time, waiting on information, or repeating work. We will help you decide where AI could make a useful difference.

Discuss your workflowExplore use cases