An AI worker is software configured for a defined job. For example, it might prepare a weekly report, organize incoming documents, or draft responses for your team to review.
Lasso scopes the role, builds and tests the worker, and manages it after launch. We confirm which tools can connect and what information the worker is allowed to use.
Your people set priorities, review sensitive work, and make the decisions that remain theirs. Lasso monitors the agreed work and handles support and improvement.
Agree what work the AI worker should do, what it should produce, and who is responsible for reviewing it.
Design how the worker uses your tools and information, with clear limits on access and actions.
Test the work against agreed examples and have your team review the results before launch.
Check outputs, investigate issues, and make improvements as the work and your needs change.
Add related tasks or workers when the first role is working well and the next scope is agreed.
Browse by industry or start with cross-industry roles. Every worker has a defined job, connected tools, review steps, and quality checks. Related roles can work together within a managed program.
Tell us the function. We will scope the roles, review gates, monitoring, and operating rhythm.
Describe the recurring task, the volume of work, the systems involved, and what would make the work better.
Review the proposed role, responsibilities, tools, review steps, and cost before approving the build.
We build the worker, connect approved systems, and test the results with your team before launch.
After launch, we monitor the agreed tasks, review issues, and report on progress and improvements.
A modeled deployment where AI workers monitor purchase orders against receipts, flag temperature and shelf-life exceptions, and generate daily review packets.
“Sample structure: order variance worker, shelf-life monitor, exception review queue, daily operating report.”
Modeled deploymentA modeled deployment where an Executive Operations Worker and Reporting Worker prepare weekly client briefings, internal status reports, and meeting context.
“Sample structure: meeting brief worker, reporting analyst, open-decision tracker, leadership review packet.”
Modeled deploymentA modeled deployment where workers pull project specs, assemble bid packages, compare pricing inputs, and prepare formatted proposals for review.
“Sample structure: spec extraction worker, bid package assembler, pricing QA, estimator approval queue.”
Modeled deploymentA modeled deployment where workers process intake forms, verify eligibility status, and coordinate scheduling exceptions across offices.
“Sample structure: document intake worker, eligibility checker, scheduling exception queue, human review path.”
Modeled deploymentTell us about the recurring work, systems, review level, and cadence. This produces a directional plan before a deeper design call.
Basic information helps us tailor the quote to your situation.
Explore how time spent on recurring work relates to assumed annual service costs. Adjust the inputs to compare scenarios.
This illustrative model values time using salary and assumes annual service costs. It excludes setup and transition costs. Time released is capacity, not guaranteed cash savings. Confirm inputs and pricing during scoping.
Based on directional assumptions
Start with one role when the job is clear. Combine related roles or plan a managed workforce program when the work spans a department.
For one defined recurring job with clear review and escalation rules.
For related roles across one operating function or department.
For organizations deploying AI workers across functions, locations, or business units.
Pricing depends on the job, connected systems, review requirements, and ongoing support. We define the scope and service terms with your team before work begins.
Define the job, connected tools, review steps, and a measure of useful work.
Compare the expected benefit, implementation effort, ongoing cost, and responsibilities before committing.
Start with one job, review the results, then combine related roles when the team is ready.
We define what the worker may do, who checks the work, and when it must ask a person for help.
We start with how the work happens today and what your team needs to improve.
Your team reviews the proposed workflow and test results before the worker begins its agreed live tasks.
Lasso checks outputs, takes feedback, and updates the worker as your business and its systems change.
The team connects business priorities to the software, integrations, and support required to deliver the work.
Start with one job and agree additional work as you learn. Larger custom software needs can be scoped through Lasso Systems.
Lasso handles the agreed design, build, and management. We still need someone on your team who knows the workflow, can arrange system access, and can make decisions about the work. We assess feasibility before agreeing to build.
The service is designed to support your team with repeatable tasks. We agree which work AI can handle and which decisions, relationships, and exceptions stay with people.
We agree the data access, hosting, permissions, and review requirements during scoping. The design depends on the information involved and your business requirements; sensitive or regulated data needs a specific review before use.
We confirm the schedule after reviewing the task, systems, access, and approval requirements. The first scope can focus on one recurring job before expanding to more work.
We review your existing tools and confirm the available integrations and permissions during scoping. Email, spreadsheets, databases, and business applications can be part of the design when access and compatibility allow.
Yes. Define one recurring job, evaluate the results with your team, and agree additional work when it makes sense.
AI can make mistakes. We define review steps, limits on actions, and a route to a person for uncertain or sensitive work. Monitoring and issue handling are part of the agreed management scope; they do not make the system error-free.
Tell us where work piles up, which tools your team uses, and what you need to improve. We will help define the role, the scope, and the support it needs.