An AI model's answer about enterprise software, and what our expert wrote over it:

XK01 is gone. Use BP.

Corrected by an SAP MM consultant with 17 years in S/4HANA migrations. Sample case.

10+ years in production per expert

Shortlist in 48 hours

Legally hired in their own country

Placing enterprise talent since 2002

Fluent. Confident.Wrong.

Enterprise agents are being built on top of SAP, Workday and Salesforce. The models behind them learned from documentation and forums — not from years of real rollouts, migrations and go-lives.

They mix up versions, invent transactions and miss how each country is configured. A generalist reviewer can't catch it. Someone who has run the system for ten years catches it in seconds.

Pick a stack. See what the model gets wrong.

Stack
Country

Model output · SAP · Mexico

> ¿Qué transacción uso para timbrar CFDI en S/4HANA?

Usa la transacción J1BNFE para emitir y monitorizar los CFDI.

J1BNFE is Brazil's NF-e monitor. In Mexico you use Document and Reporting Compliance (eDocument Cockpit) or an integrated PAC.

SAP FI/CO consultant, Mexico City, 19 years. Sample case.

Right product, wrong country. Someone who has done both localizations spots it in a second.

One niche, done properly.

Generalist marketplaces recruit everyone for everything. We only do enterprise software, and we've been placing exactly these people in real projects for more than twenty years.

Specialists only

SAP, Workday and the enterprise stacks around them. No generalists, no students, no translators.

Ten years in production

Our experts have run real rollouts, migrations and support desks — and know how they break.

A bench that already exists

Millions of profiles built over 24 years of enterprise staffing. We start from people we know.

Every country, as configured

Localization for Spain and every Latin American market, as each system really implements it.

Hired properly

Legal contracts and local payroll in each country. No grey-area contractors in your pipeline.

The stacks companies actually run on.

Staffed today where we already have deep benches. The rest we open when a project needs it.

StackExpertsWhat they testAvailability
SAPFunctional and technical: FI/CO, MM, SD, PP, SuccessFactors, BTP, ABAPS/4HANA processes, localization, migrations, custom code● Available now
WorkdayHCM, Payroll, Financials, integrationsBusiness processes, compensation, payroll by country● Available now
Software engineeringJava, .NET, Python, JavaScriptCode review, debugging, architecture decisions● Available now
Cloud and DevOpsAWS, Azure, Google Cloud, KubernetesInfrastructure, deployment and incident scenarios● Available now
ServiceNow and IT supportITSM, HR Service Delivery, service desk leadsIT and HR service agents, ticket resolution● Available now
SalesforceSales and Service Cloud, CPQ, Apex, architectsCRM agents on real sales and service workflows● Available now
OracleFusion ERP, E-Business Suite, NetSuiteFinance, procurement and supply chainOn request
Microsoft Dynamics 365Finance and Operations, Business CentralERP scenarios for mid-market companiesOn request
Data platformsSnowflake, Databricks, SQL, BIQueries, data models and reporting logicOn request
IntegrationSAP Integration Suite, MuleSoft, APIsInterfaces between systems, error handlingOn request

Every stack includes country localization: tax, payroll and e-invoicing rules as each system implements them in Spain and Latin America.

What they do for your model

Evaluate

Grade model answers against what a senior consultant or engineer would actually do.

Write

Realistic prompts and reference answers built from years of real projects.

Correct

Find exactly where the model's reasoning or code breaks, and write the fix.

Attack

Push the model into the edge cases that break real systems: versions, localizations, permissions.

Build

Realistic SAP, Workday or Salesforce scenarios and sandboxes for agents to work in.

Benchmark

Stack- and country-specific evaluation sets you can reuse.

Two senior consultants reviewing a detail on a screen in a modern office

For AI data companies

Your enterprise software bench, in Spanish.

You run the platform and the lab relationships. We supply the senior SAP, Workday and engineering experts your projects can't find — already vetted, legally contracted and paid by us in their own country.

  • Shortlists in 48 hours
  • No contractor risk on your side: proper contracts in every country
  • A second expert reviews every contributor weekly
  • Scale from 5 to 500 experts without hiring

● Live AI Training Talent Pool · Hourly USD Rates

Build your bench.

Verified senior SAP, Workday, Salesforce and engineering consultants with transparent hourly rates in USD and full technical resource sheets. Personal names withheld until pilot kickoff.

Theme:
View:

From first call to pilot in two weeks.

  1. Day 0

    You tell us the task

    Stack, country, type of work and volume. Twenty minutes on a call.

  2. Day 2

    You meet the shortlist

    Anonymized profiles of vetted experts who match.

  3. Around day 14

    The pilot starts

    5 to 10 experts for 2 to 4 weeks, at a fixed price, with quality targets agreed upfront.

  4. After

    You scale

    Keep the experts that work, add more, or move to a dedicated team.

Start with a pilot, not a contract.

If the quality isn't there, you walk away.

Request a pilot

Legally hired. Under NDA. Nothing exposed.

Your data pipeline is only as safe as the people inside it. We handle contracts, payments and security the way an enterprise supplier should.

Contracting

  • Experts are hired legally in their own country, through our offices or our network in 160 countries.
  • Local payroll, taxes and payments handled by us. No misclassification risk lands on you.
  • One contract and one invoice for you, from Spain or from our US entity in Florida.

Security

  • Every expert signs an NDA and an IP assignment before starting.
  • Synthetic or anonymized scenarios only. No client data from our consulting work, ever.
  • Experts work in your tools, with accounts you control and can revoke. We collect only the personal data we need to contract and pay them.

Vetting

  1. Ten years or more, checked against references and past projects.
  2. A practical case in their stack, graded by a senior peer.
  3. A writing test. Experts who can't explain their judgment clearly don't pass.
  4. Weekly review of a sample of their work by a second expert.
A printed expert profile with the name and contact details blacked out and one line highlighted in yellow

Training today. Supervising tomorrow.

We work with AI data companies and labs to train and evaluate models on enterprise software.

As agents go live inside real SAP and Workday landscapes, someone senior has to review, approve and fix what the agent can't. Our experts already do that job for our clients, around the clock, from 11 offices.

Questions

Who do you work with?

AI data companies first, and AI labs and enterprise software vendors building agents.

How fast can you start?

We send a shortlist within 48 hours, and a pilot is usually running in about two weeks.

How do you price?

Hourly rates by stack and seniority, or a fixed price for pilots and datasets.

Can we keep the same experts over time?

Yes. After the pilot you can move to a dedicated team.

How are experts contracted?

We hire and pay them legally in their own country. You sign one contract with us and receive one invoice.

Do you work in other languages?

Our experts work in Spanish and English. Portuguese for Brazil is available on request.

Send us the task.We send the experts.

Shortlist in 48 hours, pilot running in about two weeks.

Or write to in@hublance.com