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Case study · Online lottery · 2025

DrawLine

Lottery operator goes AI-native, draw-day discipline preserved.

A 250-person operator across three markets embedded AI across draw operations, retailer support, and compliance — four weeks, zero draw delays, audit trail untouched.

At a glance

  • 250Headcount
  • 4 weeksEngagement
  • 10Pioneers
  • 3Markets
  • 0Draw delays

The brief

AI everywhere except inside the draw.

See how we did it
Abstract illustration

Cohort

  • C-level (CEO, COO)2
  • Heads of Department5
  • AI pioneers10

Drawn from Draw Operations, Retail, Compliance, Tech, and Customer Support — every function around the draw, not the draw itself.

What the pioneers shipped

Five workflows around the draw.

Want this for your team?

Draw operations checklist

Assembles pre-draw checklist evidence for the draw officer; draw process itself untouched.

Retailer support copilot

Tier-1 retailer questions answered with audit trail; complex issues escalated with context.

Compliance evidence assembler

Compiles per-draw compliance evidence from system logs — same shape regulators expect.

Player support categorization

Routes player queries by jurisdiction and concern type; complex disputes escalated.

Promotion compliance scanner

Reviews promotion drafts against per-market lottery ad rules before launch.

“The draw is sacred. We left it alone — and rebuilt everything around it.”

Approach

Four weeks. Three markets. Daily draws on time.

01 / 04Week 1

Discover

Mapped draw process, retailer flows, and per-market compliance gates. Defined the regulatory boundary AI works around — never through.

02 / 04Week 2–3

Build

Pioneers built first cuts. Compliance reviewed every draw-adjacent flow before staging.

03 / 04Week 3–4

Compliance review

Three demos with Head of Compliance and per-market regulator officers. Anything draw-touching was redesigned out.

04 / 04Week 4+

Compound

Skills shipped to internal marketplace; retail and ops teams across markets install one click at a time.

Impact · Year one

Outcomes leadership signed off on.

  • Annual savings

    €1.7M

    Across the engagement's first twelve months.

  • FTE optimized

    14

    Full-time equivalents freed for higher-leverage work.

  • Business satisfaction

    9.5 / 10

    Post-engagement leadership review.

Why it didn't go off the rails

The draw stays untouched.

Draw process untouched

Regulatory requirement. AI never enters the draw pipeline. Period.

Retailer-facing skills reviewed by retail team

Every retailer-touching flow reviewed by Head of Retail. Tone, accuracy, escalation paths — all signed off.

AML/sanctions per draw

Standard sanctions checks per draw remain manual. AI summarises evidence; humans clear the gate.

Audit logs per skill

Every agent run logged against draw, retailer, or player record. Same shape per-market regulator inspections expect.

Where to start

Book an org assessment.
Ninety minutes, no slides.

We'll spend an hour with your leadership team mapping where AI creates the most leverage in your operation — and what an overlay would look like in practice.