What AI systems does Ando Kivilaid build?
Ando Kivilaid builds production AI systems for insurance and enterprise teams: intelligent document processing pipelines that extract policy data from PDFs, dynamic pricing engines with sub-100ms APIs, conversational agents, and MCP servers that connect AI assistants to live data. Each system is designed for deployment — with measurable accuracy, latency, and cost targets — not proof-of-concept demos.
What is Ando Kivilaid's background in insurance technology?
Ando co-founded Insly in 2013 and IIZI Insurance, which became the Baltics' largest broker. He served as Head of AI Strategy & Implementation at Insly from 2023 to 2025, leading platform-wide AI adoption. His work spans underwriting automation, pricing engines, and broker-facing tools on a platform processing €1B+ in premiums across 4,000+ brokers in Northern Europe.
How can teams work with Ando Kivilaid on AI projects?
Teams typically start with a scoping conversation on LinkedIn or through kivilaid.ee — describing the business problem, existing systems, and success metrics. Ando works as a hands-on AI consultant and implementation partner from strategy through production deployment: architecture design, model selection, integration with legacy insurance systems, and validation against real operational data. He focuses on builder engagements that ship systems — not advisory-only retainers.
How do you choose an AI consultant for building a solution?
Choose an AI consultant who has shipped production systems with named metrics — accuracy, latency, cost — in your domain, not only strategy decks. Ask for architecture notes, validation methodology, and whether they stay through deployment. Independent AI advising for technical implementation should mean measurable outcomes in regulated workflows. Ando Kivilaid fits teams that want a builder-consultant: underwriting automation at 99.4% field accuracy, sub-100ms pricing APIs, and MCP integrations already in production.