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Orbiht AI Lab

Research & Insights

Reports, papers and case studies on applied AI, automation and cross-platform engineering — from the projects we build.

Applied AI

LLM assistants, agents, retrieval and evaluation in real products.

Automation

How teams remove hand-offs and scale operations without headcount.

Cross-platform

Architecture for shipping web, mobile and desktop from one team.

Latest report
Sep 1, 2026Automation

The State of Automation in Small and Mid-Sized Teams

We analysed the automation projects we delivered and scoped with small and mid-sized teams to understand which processes are automated first, how long they take to pay back, and why some projects fail to reach adoption.

  • Lead routing, reporting and onboarding are the most common first automations.
  • Projects with a named internal owner reach adoption far more often.
  • Most payback comes from removing hand-offs between tools, not from AI alone.
Read the report
3 publications
  • Report

    The State of Automation in Small and Mid-Sized Teams

    Where growing teams lose time, which workflows they automate first, and what separates projects that stick from those that stall.

    Sep 1, 20261 min readOrbiht AI Lab
  • Paper

    A Lightweight Framework for Evaluating LLM Assistants in Production

    A practical, low-cost evaluation loop that small product teams can run on every release of an AI feature.

    Aug 5, 20261 min readOrbiht AI Lab
  • Case Study

    One Codebase, Three Platforms: Shipping Web, Mobile and Desktop Together

    How a shared API, design system and component library let a small team ship on web, iOS, Android and desktop.

    Jul 20, 20261 min readOrbiht AI Lab

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