UKG Kronos Workforce Central Private AI Layer Blueprint Generator
This generator turns a handful of facts about your UKG Kronos Workforce Central environment into a structured architecture plan for a private AI assistant. It covers the components, the security controls tied to your hosting choice, a three-phase rollout and the questions IT has to answer before build.
Fill in
UKG Kronos Workforce Central Private AI Layer Blueprint Generator
Context
Company: Acme Precision Ltd System: UKG Kronos Workforce Central, version Workforce Central 8.0, database SQL Server Hosting: On-prem server Scale: 600 named users across 3 sites Target: Pilot in 8 weeks, production in 6 months
Goal: add a private AI assistant over the existing system without moving data to a public cloud service and without replacing the system.
Use cases in scope
Overtime and absence trends by department, schedule coverage gaps, timecard exception summaries for supervisors, questions about pay rules and union agreements.
Data that must never leave the site
Biometric data, individual-level personal data outside the user's employee group, pay disputes and disciplinary files. Small groups must be suppressed.
Control: this data is excluded from the index or processed only on On-prem server infrastructure, with access logged.
Components
| Component | Design |
|---|---|
| Data access path | Read-only replica or reporting database with named, reviewed views; WFC XML API and Integration Interface Manager for live reads |
| Retrieval index | Local index of pay rules, policies and union agreements; numeric questions go to the semantic layer |
| Model serving | Open-weight model on vLLM or Ollama on 1 x 24 GB GPU |
| Tool server | MCP or HTTP server with parameterized tools such as get_overtime_summary; no free SQL |
| Identity and permissions | Function access profiles and employee groups mapped to the asking user; every query scoped to people they manage |
| Audit | Append-only log with query parameters and row counts; small-group suppression recorded |
Security controls
Aggregates and exceptions only; minimum group size suppression; no decisions about individuals; PII stays on-site; legal and works council review of use cases before go-live; replica credentials read-only.
Hosting mode On-prem server: when air-gapped, models, containers and packages enter through a hash-verified transfer and no component calls an external network.
Rollout
| Phase | Scope | Exit criteria |
|---|---|---|
| 1. Read-only questions | Cited answers over a pilot scope for a small user group on 1 x 24 GB GPU | Answers verified by process owners; no permission leaks in tests |
| 2. Drafts | Summaries, comparisons and drafted records a person reviews and enters | Reviewers accept drafts without major edits in agreed share of cases |
| 3. Approved actions | Narrow actions through the supported API with a named human approver | Every action logged; rollback path tested; sign-off from system owner |
Open questions for IT
1. Which Workforce Central version and data dictionary apply, and where is the reporting database? 2. Which access profiles and employee groups define manager scope? 3. What minimum group size will you suppress below? 4. Which countries, works councils or union agreements restrict use? 5. Is a move to a cloud timekeeping product planned, and when?
Approvals
This is a planning document, not a security certification. Component choices (vector store, model size) depend on your pilot measurements; confirm API names and limits against the documentation for your exact version.
Review my blueprint
Send the exported plan for an optional review of the data access path, permissions design and rollout.
Optional. The tool and every export work without this. No spam.
How to use it
Enter your system version, database engine and hosting model, then describe the use cases and the data that must never leave the site. The blueprint fills the context, components, controls and rollout sections, and exports to PDF, Word or Excel. Walk through it with your IT architect and security officer, correct the defaults, and attach it to the project request. Change the GPU field to see how the rollout row for phase one reads on different hardware.
- Be specific about restricted data: it becomes a design constraint, not a footnote
- Pick hosting first; it sets the security controls
- Keep use cases to three or four for the pilot
- List the people who can approve write-back
What the blueprint assumes
The design is the same on every on-prem system: a read-only copy or supported API for data access, a retrieval index that carries permissions, a tool server that exposes only approved read actions, an open-weight model on vLLM or Ollama, and an audit log. Timekeeping users are managers and HR, so named users are low but data sensitivity is high. The components table names the access path for this system, but you must verify the object and API names for your exact version.
- Read-only by default
- Permissions mirrored from the system
- Write-back only through supported APIs with human approval
- Everything logged
Reading the rollout table
Phase one proves the data and permissions work: cited answers over a small scope. Phase two adds drafts that a person reviews. Phase three allows narrow, approved actions through the system's own API. Do not skip phases: most failures come from skipping permission testing in phase one. Exit criteria are examples; replace them with numbers your process owners agree to, such as the share of answers verified correct in a sample of fifty questions.
Common mistakes
Teams often size the model before they have defined the use case, grant the assistant a powerful service account, or index everything to avoid deciding scope. Another is leaving the open questions unanswered until build starts. Most load is numeric queries, not document retrieval. Use the open-questions section as the agenda for your first IT workshop and assign an owner to each item.
- Powerful service account for convenience
- No permission tests with restricted users
- Indexing without scope decisions
- No owner for open questions
Frequently Asked Questions
Does this document commit us to buying anything?
No. The generator runs in your browser and exports a plan you can share internally. It is a starting point for architecture and security review, and every default can be changed.
Is the plan valid for air-gapped sites?
Yes. Choose the air-gapped hosting option and the controls section adds transfer and network isolation rules. All components in the table run inside the closed network with no external calls.
Why does the plan avoid giving model sizes?
Model size and GPU count depend on concurrency, context length and answer quality targets. Measure them in the pilot, then use the sizing calculator for ranges rather than committing to a number early.
Can we reuse the plan for another system?
The structure transfers, but the data access path, permission model and open questions are specific to each system. Generate a separate blueprint for each platform and compare them.
Netray designs and runs private AI layers on UKG Kronos Workforce Central with your IT team. If you want a second opinion on your blueprint, we can review it with you.
Related Tools
UKG Kronos Workforce Central AI Assistant Sizing and Value Calculator
Estimate GPU count, token volume, index size and payback for a private AI assistant on Kronos WFC from users, usage and time saved.
On-Prem AIOn-Prem AI Deployment Checklist
A 30-point pre-deployment checklist covering use cases, hardware, security, model operations, and rollout for self-hosted enterprise LLMs.
On-Prem AIGPU Sizing Calculator for LLM Inference
Work out how many GPUs you need to serve a given open-weight model to your user base, based on memory footprint and token throughput.
On-Prem AIRAG Infrastructure Sizing Calculator
Estimate vector storage, node RAM, generation GPUs, and monthly infrastructure cost for a retrieval-augmented generation deployment over your document corpus.
More On-Prem AI tools
See all- On-Prem LLM Total Cost of Ownership Calculator
- On-Prem vs Cloud AI Cost Comparison Calculator
- Self-Hosted LLM Hardware Estimator
- Air-Gapped AI Readiness Assessment
- LLM API vs Self-Hosted Cost Calculator
- Open-Weight Model Selector
- On-Prem AI ROI Calculator
- LLM Token Cost Calculator
- AI Data Center Power and Cooling Calculator
Keep exploring
Free tools
- UKG Kronos Workforce Central AI Assistant Sizing and Value CalculatorEstimate GPU count, token volume, index size and payback for a private AI assistant on Kronos WFC from users, usage and time saved.
- SyteLine Private AI Layer Blueprint GeneratorFill in your SyteLine environment and get a ready-to-share architecture plan for a private, on-prem AI assistant.
- Business Central On-Prem Private AI Layer Blueprint GeneratorDescribe your Business Central on-prem setup and get an architecture plan for a private AI assistant built on API v2.0 and a local model.