End-to-end design and engineering for AI products

Start where the uncertainty is highest. Windmill can validate one workflow, take a proven product into production, or independently evaluate something another team built.

Prove it. Build it. Run it. Assure it

  1. AI Strategy & Experience

    Decide where AI is worth pursuing — and what it will take to succeed.

    We identify the opportunities with the strongest potential, design the product and technical direction, and establish the evidence needed to make a confident investment.

    Duration: Typically 1-2 months

    Deliverables

    • Prioritised opportunity and decision map
    • Experience and workflow direction
    • Technical feasibility and architecture direction
    • Evaluation and oversight plan
    • Recommended next-stage roadmap
    An agentic pipeline blueprint: user input flows through parsing, a knowledge graph, a vector database and agent orchestration to AI agents, then validation, response generation and a feedback loop
  2. Proof of Value

    Turn a promising AI use case into evidence you can act on.

    We build a working product slice and test it with real users and real data against agreed success criteria, technical constraints, failure modes and economics — creating a clear basis for the next investment decision.

    Duration: Typically 1.5-2 months

    Deliverables

    • Working product or workflow slice
    • User or operator evidence
    • Technical feasibility and architecture decisions
    • Representative evaluation baseline
    • Known failure conditions and constraints
    • Value case and recommendation for the next stage
    The clinical trials registry: choosing trial methodologies while adding a new trial
  3. Product Build & Scale

    Take a validated product from proof into production.

    Product, AI, engineering, data, integrations, security, evaluation and operations are developed as one system — creating the foundations for release reliably, operate effectively and evolve over time.

    Deliverables

    • Production customer and operator experience
    • Production architecture and integrations
    • AI, software and data engineering where required
    • Evaluation and release criteria
    • Security and operational controls
    • Deployment and monitoring
    • Iteration and improvement backlog
    The private banking app on three phones: net worth, top updates and the welcome screen
  4. Evaluation & Assurance

    Know how the product performs, where it fails and what needs to improve.

    We evaluate AI quality, regressions, failure modes, controls, human oversight, latency and cost — giving teams a reliable baseline and a prioritized path to stronger performance. The product does not need to have been built by Windmill.

    Duration: Initial assessment typically 1.5 months

    Deliverables

    • Evaluation harness and representative test set
    • Quality and regression signals
    • Cost and latency analysis where relevant
    • Monitoring and failure analysis
    • Human review, correction and escalation workflows
    • Operational and audit evidence
    • Prioritised improvement backlog
    The live KYC profile review screen with a mismatch alert open

Built for industries where getting it right matters

  • Finance

    AI products for banks, wealth managers and financial platforms — from client-facing tools to operations and risk. Designed so every decision can be explained to clients, reviewers and regulators.

    View Finance work →
  • Life Sciences

    AI that helps research and medical teams find, check and use evidence faster. Every answer links back to its source, so teams can verify it before they act on it.

    View Life Sciences work →
  • Healthcare

    AI for clinical and patient-facing tools, where a wrong answer has real consequences. We design how the system supports care teams, when it hands over to a person, and how patient data stays protected.

    View Healthcare work →
  • Transportation

    AI that turns operational data into decisions on fuel, cargo and compliance for airlines and operators. Built to fit the systems and people already running the operation.

    View Transportation work →

Selected work

Start with an AI Product Assessment.

  1. A 30-minute call

    We talk through the product, the users and the constraints.

  2. We suggest where to start

    One of the four engagements, or a smaller first step.

  3. You get a short proposal

    Scope, approach and the next decision it supports.

How we handle security, data and oversight

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