Help your team spend less time on repetitive tasks and more time on work that needs people.Design and test digital workers in Nx·Studio, and keep the code that runs them. Your IT team runs them on your own systems and can change them whenever you need.
Enterprise portals
Business applications in our industry catalog, each grouping related tasks.
Digital workers
Workers inside those applications, each built for one business task.
Industries represented
Explore work across finance, healthcare, manufacturing, energy, logistics and more.
Counts are calculated from the portal and worker records shown on our Industries page. A digital worker is software configured to carry out a defined task.
Choose the right tool for the work
Hand off tasks. Design workers. Write code. Automate decisions.
Software that does one defined, repeatable task, such as matching invoices to orders. Exceptions go to your people, and you keep the code.
Policy checks on every record
Repair requests scheduled
Call notes summarized for review
The code lives here
Describe a repeatable task, refine the steps with an AI assistant, test them on sample data, then export the code. Designing it takes no coding.
Tasks, rules, examples
Adjust what the AI drafts
Runs on sample records
Describe a feature or a bug in plain words. Nx IDE helps your developers understand the code, make the change and test it, right in VS Code, their code editor.
# Plan: fix the late-fee bugissue: late fees added twice ai: from your provider approach: - find the cause - fix and add a test - review by another AIship: you give the wordTeam mode (optional)
Does the coding
Checks every fix
Gives a second check
A separate engine for routine decisions. It earns the right to decide by passing a test on cases it has never seen, and returns unclear cases for review.
Use tested knowledge
Only when enabled
Sent back to a person
Start with a process you can measure. Test a worker against how you do it today, then judge its value with your own volumes, costs and review time.
Hand repeatable steps to a worker and use fixed checks where the rules are clear. Weigh the time saved against hosting, AI use and upkeep before you expand.
How the cost worksLet workers handle defined tasks while people review exceptions and make decisions that need judgment. Measure how much capacity this frees before expanding to more work.
See how it worksCheck the workflow with sample data and test runs. Add your business rules and approval steps, and read the run records before connecting it to real systems.
See the safeguardsNx·Studio gives you source code you can edit and run on your own systems. Your IT team looks after it and connects it to your AI provider and other software.
Why ownership mattersSuppose a team matches 2,000 invoices a month to purchase orders, at about six minutes each by hand: 200 hours of routine work.
Invoices matched automatically each month
Assuming 75% can be handled by the defined checks.
Invoices left for your team
The remaining 25% would still need human review.
Potential routine hours saved
Potential routine time saved before review, setup and operating costs.
Illustrative example, not a customer result. It assumes three in four invoices pass your matching rules and those checks replace six minutes of manual work each. It excludes setup, review and operating costs. Validate these assumptions with your own process.
Use Nx·Studio to turn your process into software you can edit, with a review at each stage.
Describe the task, the information it needs and the result you expect. Add documents or notes so Nx·Studio can suggest a workflow based on how you really work.
Nx·Studio turns what you shared into a workflow you can edit. Adjust its steps, rules and approval points on screen, or review the changes its AI assistant suggests.
Run the worker on sample data and check the results and approval steps. Some test runs use stand-in connections, so test the real ones before going live.
Download the worker as a software project. Your IT team sets up logins, hosting and the software it relies on, then tests it on your systems. It runs without Nx·Studio.
By the close of 2027, Gartner forecasts that more than 40% of agentic AI initiatives will be abandoned. It points to costs that climb, benefits that remain unclear, or risks that are poorly managed.
See test results and AI use before you decide what to launch.
Test a defined process and compare it with your current way of working.
Review the workflow, its rules and its approval steps before going live.
Export from Nx·Studio, and the code is your property.
Compare hosting, code access and operating responsibilities before choosing an approach.
Hosting depends on the service.
Check the provider's pricing and usage terms.
Access depends on the provider.
Continued access depends on the contract.
Exported workers run on your own systems.
Budget for hosting, AI use and upkeep.
Read the workflow and the code itself.
Keep the code; your team keeps it updated.
With the source code, your team controls the worker.
Your team still looks after hosting, AI accounts, connections and upkeep.
Nx·Studio exports the source code with a signed list of everything inside. It is switched on by default, and your IT team should still check each package.
Digital workers do routine tasks; Nx·Studio designs and tests them. Nx IDE helps developers write code. Cognitive Engine handles repeat decisions once tested. Each connects after setup.
For teams that want a routine task done by software. Describe it, refine the steps with the AI assistant, test it on sample data and export the code.
For developers working in VS Code. Ask for a feature, track down a bug or update old code. Pick a supported AI provider and set what the assistant may do alone.
For routine decisions inside your own applications. It learns from results your systems confirm, passes a test before it starts, and hands unclear cases back.
Nx·Studio lets your team review a worker before export: workflow views, sample data and readiness checks, then the code itself and its signed contents list.
Nx·Studio comes with ready-made connections and starter code for common business systems. Your IT team finishes the setup, adds the logins and tests each one. Ask us about the systems you use.
These logos are examples, not customers or partners. Check that each connection suits your workflow.
Nx·Studio gives you tools to check and test a worker before export. Set them up for your process, and check the package before it goes live.
Create sample data and watch test runs in Nx·Studio. Some connections are stand-ins, so test the real ones before using real systems.
Write your rules and review the checks made from them. Fixed checks need no AI, while steps that use AI still need testing. Make sure the workflow covers your exceptions.
Switch between the workflow view and the team view, look at saved versions and review the edits the AI suggests. Readiness checks point out problems before export.
Export code you can edit, with the options your worker needs and a signed list of its contents. Your IT team should check and test each package.
Use these controls to evaluate a workflow and decide when it is ready for live use.
Explore the safeguardsCheck a workflow in Nx·Studio with sample data and test runs. Stand-in connections are no substitute for testing on your own systems.
Turn your business rules into checks inside the workflow. Review them and any gaps flagged before going live; steps that use AI still need testing.
Add approval steps wherever a person must decide. The worker waits for the answer, then carries on.
Every version of the workflow is saved, and each approval is recorded, so you can trace what happened.
Nx·Studio exports the source code for your own systems, and the worker runs without Nx·Studio. Your team looks after logins, hosting, updates and upkeep.
Create sample records to try a workflow before using real data. Check what the tests cover and which connections are stand-ins. Review your AI provider's data settings before using sensitive information.
Put a person at any step that needs a decision. You pick who that is, and they can answer in the review inbox, Slack, Microsoft Teams or email.
Read the workflow, the rules made from it and the run records. Every approval is recorded. Signed contents help your IT team check a package, but they are not a regulatory certification.
Explore the Trust CenterUse these examples to start a conversation about your own work. Agree the steps, the data a worker may use and the approvals it needs. Then build and test a worker for just that job.
Explore routine document checks with exceptions sent for review.
Explore administrative workflows with people controlling sensitive actions.
Explore order updates and exception handling across connected systems.
Explore operational records and follow-up tasks using defined rules.
Example ideas only, not ready-made products or customer results. Each one needs the right connections, setup and testing.
Pick one repeatable process and note its current time, cost and error rate. Design and test a worker in Nx·Studio using sample data. Compare the results with today's numbers, allowing for review time, hosting, AI use and upkeep. Test results support a pilot; they do not guarantee savings.
Nx·Studio exports a complete software project you can edit. Your IT team sets up its logins and hosting, then looks after the code. What is inside depends on the worker and the options you pick.
Digital workers are what you get. Nx·Studio is where you design, test and export them. Nx IDE helps your developers work on that code, or any other software. The Cognitive Engine is a separate product for routine decisions, which your IT team connects through its own link (API). None of these connections is automatic.
In Nx IDE, approval settings decide what the AI assistant may do alone. Its optional team mode adds a separate tester and reviewer, and a person makes the final call. Workers can include approval steps. The Cognitive Engine sends unclear cases back for review.
Plan for design and build, hosting, AI provider fees, connection work and upkeep. Costs depend on the workflow, your systems and the features you choose. Talk to Nexgile about pricing and support; owning the code does not settle those terms on its own.
Discuss pricing and scopeNone of your own: Nx·Studio can create sample records for a first test. Think carefully about which documents you share. Before going live, check with your team how your AI provider handles data, what each connection may access and how hosting is set up.
