AIREKA Labs
Small, real builds that simplify complexity into working journeys.”
What is AIREKA Labs?
• Identify friction and decision points
• Build a guided MVP that proves the approach
• Scale into production with the right systems and specialists
AIREKA Labs is where ideas are tested hands on before scaling.
We use Labs to test how AI can restructure information, reduce manual effort, and support better decisions across customer journeys, workflows, and internal processes.
Labs builds are not standalone products. They are MVP style proofs used to validate approaches before full client delivery.
How Labs fit into real work
Identify repeated friction or complexity
Build a focused MVP or proof of concept
Apply the learning to client delivery or system builds
AIREKA Labs shortens the distance between idea, evidence, and execution.
BEEP-ai
What we explored:
BEEP-ai shows how AI and journey design can shorten complex, information heavy journeys.
Traditional insurance journeys often involve long forms, repeated questions and manual re-inputting. BEEP-ai flips that model by starting from existing documents and guiding users through only what truly matters.
The goal is to remove friction, reduce time spent, and make decisions clearer.
How it works
The journey is intentionally designed around three simple steps:
Upload an existing policy document
Let AI extract and structure the key information
Guide the user through clear decisions with plain-English explanations and early price signals
By combining AI extraction with thoughtful journey design, the experience becomes significantly shorter, more efficient, and far easier to complete.
Why this matters
Reduces long question sets and manual input
Saves time for users and teams
Demonstrates how regulated, document-heavy workflows can be simplified without losing control
BEEP-ai is a working MVP that tests how AI can improve journeys and decision making in complex environments, without increasing risk.
AI extracts structured information from uploaded documents to reduce manual input.
Scout
What this Lab explores:
Scout shows how a complex task for parents can be turned into a guided, engaging experience for children.
Finding suitable activities for children usually involves scattered information, multiple websites, and a lot of effort that parents do not enjoy and children cannot participate in.
Scout was designed to reverse that dynamic.
How it works
Instead of open-ended searching, Scout uses a guided and gamified journey:
Simple questions that children can answer themselves
Visual cues and playful interactions to keep engagement high
Structured options that lead to real, actionable outcomes
The experience transforms a boring administrative task into something children can complete confidently, even at a young age.
Why this matters
Turns complexity into something approachable and fun
Reduces decision fatigue for parents
Encourages children to participate rather than disengage
Shows how the same design and AI principles can work outside regulated or enterprise settings
Scout demonstrates that the same principles used in regulated workflows can also create engaging, human experiences.
Guided Input replaces open-ended search and reduces decision fatigue
What AIREKA Labs demonstrates
We don’t stop at strategy, we test ideas in reality
MVPs and proofs reduce delivery risk
AI is applied inside real workflows, not demos
We can scale from proof to production through a specialist network
Want to explore this approach in your context?
AIREKA Labs builds are starting points, not products. We can walk through relevant examples in conversation.