wfmlabs.ai

AI-Enabled Workforce Solutions

Practical AI on top of your UKG data — assistants, automation, and insight, not hype.

The interesting AI work in workforce management isn’t chatbots for the sake of chatbots — it’s removing the toil that surrounds a complex platform. Configuration questions that take a specialist an hour to answer. Integration mappings that take days to document. Analysts translating “why was overtime up last week?” into query after query. I build AI-enabled tools grounded in your actual UKG data and configuration — assistants, copilots, and automations that give time back to the people who run the system.

Sound familiar?

  • Your UKG admins spend hours answering the same configuration and policy questions.
  • Tribal knowledge about your WFM setup lives in two people’s heads.
  • Ops leaders want plain-language answers from workforce data without waiting on the reporting queue.
  • You keep hearing “AI” from vendors but nobody shows you a working tool on your data.

What you get

  • AI assistants grounded in your UKG configuration, data dictionary, and policies
  • Intelligent automation for repetitive admin and data-hygiene workflows
  • Natural-language analytics over workforce data with guardrails
  • Pragmatic scoping: a working pilot on real data before any big commitment

Built in the field

Every engagement is custom — these show what this capability looks like in production.

  • AI agents for UKG configuration and data · WFM Labs R&D · working tools, not concepts

    A configuration assistant that provisions settings through curated API definitions, and agents that generate SQL over a semantically indexed data dictionary.

  • Sorrel — a SaaS platform I built and run · My own product · joinsorrel.com

    Membership management for volunteer-run non-profits — members, dues, events, governance, and an AI assistant — built, operated, and owned end to end.

All selected work →

Frequently asked

Does my data get sent to public AI models?
Only under an architecture you approve. Solutions can run against enterprise AI endpoints with contractual data protections, or fully within your cloud tenancy. Data governance is a design input from day one, not an afterthought.
We’re early on AI. Where would we start?
Start where toil is measurable: an assistant over your configuration and data dictionary, or automation of one painful recurring workflow. Small, real, and in production — then expand from evidence, not slideware.

Talk through your scenario

A 30-minute working session is the fastest way to find out whether this is buildable — and what it would take.

Contact Jeff