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The Owned Digital Workforce Platform

Transform how work gets done. Lower costs. Accelerate operations. Own your AI workforce.

The Owned Digital Workforce Platform

Own your AI workforce.An asset, not a subscription.

Lower the enterprise cost of routine work, and keep the capability as an asset you control.Nx·Studio designs and validates each digital worker around one of your processes, then hands over the source code. It operates inside your own infrastructure, and our fees do not rise with transaction volume.

Begin with one process and expand only on evidence: estimated cost and hours saved before the build, synthetic-data validation before production, human approval where policy requires it.

Request a briefingSee the risk controls

From process to owned asset

  1. 01

    Describe

    Define the process

  2. 02

    Design

    Set steps and approvals

  3. 03

    Validate

    Test on synthetic data

  4. 04

    Own

    Take the source code

Describe. Design. Validate. Own.
111

Enterprise portals on record

Complete business applications in the delivery record, each ready to carry your brand.

333

Digital workers on record

Each automates one defined business process and belongs to the client as source code.

17

Sectors on record

Regulated and industrial sectors alike, from financial services and healthcare to energy and automotive.

Totals are derived from the delivery records this site publishes. Every digital worker is owned outright by your enterprise: software for one defined business process, run within the rules you set, with the source code in your hands.

The portfolio

Four levers on the cost and risk of routine work.

One vendor relationship. Every asset stays yours.

01 / 04Owned outright

Digital Workers

Software that runs one business process end to end, owned by you rather than rented. Each is validated before go-live, then transferred to your control.

  • Estimated cost up front
  • Validated pre-production
  • No dependence on us
  • Runs on your infrastructure

In this example

Three workers absorb routine volume in procurement, inventory and sales, so each function can take on more work with the team it has.

  • Procurement

    Spend held to budget

  • Inventory

    Working capital in view

  • Sales

    Quotes ready for sign-off

Your enterprise

Capacity back to the business

Why own your workers
02 / 04Evidence before build

Nx·Studio

Puts numbers behind each automation decision. Describe a process in plain language; Nx·Studio proposes designs with estimated running cost and hours saved, and its plan adds payback.

  • Five options, each costed
  • Payback estimate in the plan
  • Validated on synthetic data
  • A record of every version

In this example

A one-line brief becomes a costed, three-step workflow, validated on synthetic data, with every version kept for audit.

Catch payroll exceptions before posting

  1. Hours captured

    From every site

  2. Hours checked

    Against policy

  3. Exceptions

    To a named manager

Each change on recordKept for audit
Examine Nx·Studio
03 / 04Engineering capacity

Nx IDE

More output from the engineers you already employ. In VS Code, specialist agents plan, write, test and review changes, and the editor holds each one for a developer’s sign-off by default.

  • 31 built-in modes
  • Approval in the editor
  • Your choice of model
  • One-click checkpoint undo

In this example

Agents plan an invoice status lookup, test it and review it separately. Nothing merges until an engineer approves.

invoice-status.planPending approval
# Plan: invoice status lookup
feature:
why: fewer finance queries
model: approved by you
plan:
- add a status endpoint
- test on sample invoices
- separate review
merge: sign-off default

Specialists assigned

Plan

Sizes the change

Tester

Checks behavior

Reviewer

Second opinion

Optional spend capNeeds approval
Examine Nx IDE
04 / 04Decisions at no AI cost

Cognitive Engine

Takes routine decisions off the AI bill once they are proven. Each rule is drawn from outcomes your teams have verified, and it gains authority only by passing an exam on cases it has never seen.

  • Exam-gated authority
  • Consistent, auditable outcomes
  • Exceptions go to your experts
  • An explanation for every call

In this example

A turbine sensor reading arrives. A proven rule settles it in milliseconds, with no AI call. Anything unusual goes to your engineers, or to AI if you allow it.

Turbine vibration: within limits?Ruling

  • Proven rule

    Decided with no model

  • AI, by permission

    Off unless allowed

  • Your domain experts

    Own the exceptions

EvidenceExamMandate
Examine the Cognitive Engine
The investment view

Fund one process. Scale on the evidence.

Begin where routine volume and its cost are both visible. Expand the investment only after a validated worker compares well with today's cost, cycle time and review effort.

01 / OPEX

Reduce the cost of routine work

Shift repeatable work from people to software the enterprise owns. Clear-cut rules are enforced in code without calling a model, and the savings case is stated after infrastructure, model and support costs.

The cost model, explained
02 / SCALE

Scale without adding headcount

Growth in transaction volume lands on workers; exceptions and judgment calls remain with your people. Expansion follows measured capacity, not forecasts.

How it is built
03 / RISK

Automate with confidence

Contain risk before it reaches the business. Each workflow is validated on synthetic data, rules and approval steps switched on, and its run records are reviewed before production.

The safeguards in brief
04 / ASSET

Own the workforce you build

The capability becomes an enterprise asset: code your engineering teams may modify and host themselves, with the model provider you choose. Nothing relies on Nxgyle to keep it running.

The case for ownership
Illustrative example

Put a number on the opportunity.

Take one finance process: each month, 2,000 invoices are matched to purchase orders at about six minutes apiece, or 200 hours of manual effort.

PLANNING ASSUMPTIONS
2,000invoices / month
6 minper invoice
200 hmanual work / month
01 / WORKER
1,500

Invoices the worker clears each month

Assumes 75% clear the fixed matching rules.

Cleared by fixed checks75%
02 / YOUR PEOPLE
500

Exceptions left for your people

Those 25% go to a person for a decision.

Sent for a human decision25%
03 / CAPACITY
150

Hours of capacity released

Gross, before review time, setup and running costs.

Out of 200 manual hours75% potential

An illustrative model, not a customer result. It assumes three in four invoices clear your matching rules and that each automated match saves six minutes of manual work. The model leaves out setup, review effort and running costs; test the assumptions on your own data before committing budget.

Path to value

From a first process to an asset you own.

Four stages, each closing on a decision you control, so spend follows evidence rather than promises.

  1. Step 1 / Describe

    Start with a process that matters.

    Choose a high-volume process with a clear outcome, such as month-end supplier accruals. Your teams supply the rules and policies; from them, Nx·Studio drafts designs that reflect how the work is done today.

  2. Step 2 / Design

    Weigh the designs before you invest.

    Review up to five designs, each with an estimated running cost and hours saved; the plan adds a payback estimate. Approval points sit where your policies place them.

  3. Step 3 / Validate

    Validate before production, not after.

    Validation runs use synthetic data (realistic records, none of them yours) and simulated connections. Your teams review every result and approval step; engineers then test the live integrations before go-live.

  4. Step 4 / Own

    Own the result outright.

    The worker is exported as a complete software project and runs on your infrastructure without Nx·Studio. No runtime license and no per-decision fee from us; your engineers own deployment and upkeep.

A warning for AI budgets
Industry outlook / 2027

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.

— Gartner forecast, June 2025 (paraphrased)

Settle cost, value and risk before capital is committed.

01
Escalating costs

You see an estimated running cost for every design ahead of any build decision.

02
Unclear business value

Validate the value on one process, against today's cost base, before you scale.

03
Inadequate risk controls

Your risk function reviews rules, approval steps and run records before go-live.

Every Nx·Studio export is a capability your enterprise owns.

A strategic choice

Rent an agent, or own your workforce.

Weigh control, cost over time, visibility and lock-in before you commit to an operating model.

If you rent
Control

The vendor's platform sets the terms.

Cost over time

Vendor pricing and usage terms set the curve.

What you see

What you can see is the vendor's choice.

Lock-in

Continuity rests on the contract.

If you own
Control

Your enterprise runs the workers on its own infrastructure.

Cost over time

Your infrastructure, model usage and upkeep; no per-decision fee to us.

What you see

A full view of the workflow and its source code.

Lock-in

The asset stays with you if the relationship ends.

Ownership turns AI spend into an enterprise asset.

Your organization still funds infrastructure, model accounts, integrations and maintenance.

How we price the work

Capability you own. Infrastructure you govern. Contents your auditors can verify.

Every export ships the complete source code with a signed bill of materials, an inventory of every component. It is on by default, so ownership can be shown to auditors and the board; your security team still reviews each package.

What each product changes

Leaner operations. Faster engineering. Consistent decisions.

Digital workers take routine processes off your teams; Nx·Studio designs them with cost estimates and validates them. Nx IDE adds governed capacity to engineering. Cognitive Engine settles repeat decisions once they are proven. Each connects to your systems on your terms.

01OwnFlagship

Nx·Studio

The cost lever. Routine processes become digital workers your enterprise owns, with running cost and hours saved estimated before anything is built.

  • Costs estimated before you commit
  • Validated before production
  • Source code you own
Nx·Studio in brief
02Velocity

Nx IDE

The capacity lever. Specialist agents in VS Code help your engineers deliver features, fixes and modernization on the AI model you choose, under the approvals you set.

  • 31 modes, from planning to review
  • Independent tester and reviewer
  • A map of how your code connects
Nx IDE in brief
03Decisions

Cognitive Engine

The decision lever. For routine decisions at volume, it learns from outcomes your systems confirm and must pass an exam before it acts; unclear cases return to your people.

  • Proven decisions make no AI call
  • Optional AI advice, tested separately
  • A separate product, reached by API
The engine in brief
04Risk & Proof

The Foundation

The assurance your risk leaders ask for: workflow views, synthetic-data results and readiness checks before export, plus a signed inventory of every component.

  • Readiness checked first
  • Reviewable rules and handoffs
  • A signed parts register
Foundation in brief
Review the whole platform
Fits the systems you already run

Build on systems you already own,
with no rip-and-replace.

Digital workers connect to the ERP, CRM and service platforms you already pay for. Nx·Studio supplies starter integration code from its connector catalog; your engineering team completes, secures and tests each connection before go-live.

Microsoft Teams
Slack
SAP
Salesforce
Oracle EBS
Workday
ServiceNow
Email
Nxgyle

These logos are example systems, not customers or partners; your architects confirm each connection.

The Foundation

Assurance built into every worker.

Most AI vendors build on the same underlying models. What protects the enterprise is engineering: four safeguards keep each worker predictable, explainable and verifiably owned by you.

  1. 01
    Rehearsal before reality

    Tested away from production systems.

    Each worker is exercised on synthetic data shaped like your operations, with approval steps active, before any production system is involved.

  2. 02
    Rules you can rely on

    Policy applied the same way.

    Any business rule that can be stated precisely becomes a fixed check: the same case gets the same result, with no AI call.

  3. 03
    Blueprints you can read

    Oversight before anything runs.

    Every worker has a readable blueprint of each step. All versions are retained, so oversight can compare any two or branch from an earlier one.

  4. 04
    Proof in every export

    Proof of what the enterprise owns.

    Every export carries a signed bill of materials, an inventory your security team can verify independently. Wherever policy requires a person, the worker waits for one.

How the Foundation works What an export includes
Risk governance

Govern the risk. Keep accountability with people.

Four controls that keep AI risk within your appetite before anything goes live.

Review the safeguards
Controls in every deployment
  • 01 / 04
    TESTED

    Validated, then released

    Each workflow is validated on synthetic data before it goes live. Your teams still run their own tests against live systems.

    Tested before exposure
  • 02 / 04
    CODIFIED

    Policy built in

    Business policy runs as deterministic checks: the same input, the same result. Flagged gaps and AI-assisted steps are reviewed before go-live.

    Policy enforced in code
  • 03 / 04
    PEOPLE

    Humans approve

    Approval steps sit wherever your policy requires a person. The worker waits for that decision, then continues.

    Decisions stay with people
  • 04 / 04
    EVIDENCE

    Every decision on record

    Every workflow version is retained and every approval recorded, so your audit committee can see what happened.

    Evidence for auditors
Board-level assurance

Four exposures
the board will
want answered.

Ownership, data, decision authority and the record, settled before you scale.

Visit our Trust Center
  1. 01
    ASSET

    Who owns the asset?

    Your enterprise does. Nx·Studio exports the full source code to your infrastructure, the worker runs without Nx·Studio, and your team controls credentials, updates and upkeep.

  2. 02
    DATA EXPOSURE

    Where does our data go?

    Workers run on your infrastructure and report nothing to Nxgyle. Testing needs no production data. Before sensitive information is used, review the data terms of the model provider you chose.

  3. 03
    MANDATE

    Who decides?

    The executives and managers you name, at every step that needs a decision. The worker pauses until they respond; your engineers connect the reviewer inbox that ships with it, and Slack is optional.

  4. 04
    EVIDENCE

    What can we evidence?

    Every workflow version, the rules derived from it, each run and each approval. The signed bill of materials proves a package is intact; it is not a regulatory certification.

Industries

Concentrated in sectors where regulators set the bar.

In regulated sectors, a board cannot rely on automation it cannot explain. That is where we focus: each worker comes with a readable blueprint, is validated on synthetic data first and runs on infrastructure you control.

Financial Services

Compliance cost, fraud exposure and credit decisions.

Healthcare

Administrative load, care coordination and staffing.

Supply Chain

Working capital, service levels and demand planning.

Manufacturing

Asset uptime, quality cost and production planning.

Illustrative
  • Underwriting checks
  • AML case review
  • Transaction monitoring
View the sector
Illustrative
  • Clinical documentation
  • Medical coding review
  • Claims adjudication
View the sector
Illustrative
  • Freight invoice audit
  • Inventory tracking
  • Supplier risk review
View the sector
Illustrative
  • Warranty cost review
  • Early fault detection
  • Capacity planning
View the sector

Examples of what the platform can build in each sector: illustrations, not customer references.

Review the 17 industries
Common questions

Questions from the executive committee.

Ask your own question

Software your enterprise owns that runs one defined business process end to end, such as matching invoices to purchase orders. It applies your rules, uses AI only where judgment is needed and stops for a person at every approval you require. It is an asset on your systems, not a service you rent.

One process, then scale

You describe it. You validate it.You own it. You run it.

Choose one high-volume process.
See its digital worker run before you scale.

See a live worker demo Read the Trust Center
How our pricing works

  • An asset you own

    Readable source code, versioned and ready for your engineers.

  • Proof of ownership

    A signed bill of materials accompanies every export.

  • No dependence on Nxgyle

    It runs in your cloud or data center, on your terms.