AI automation for the work your team does by hand
OceanLab builds AI into real business workflows: documents, support, claims, research and operations. People stay in charge of the decisions that matter, and every example below is a product we built.
AI products we built
A few of the AI builds behind this page. Each one is a full case study with screens, scope and the rules it was built for.
Building Pylon - AI-Native Insurance Operations from Prototype to Production
Replaced fragmented policy spreadsheets and disconnected claims tools with a unified AI-driven workspace, designed and shipped in 8 weeks via clickable AI prototype.
Clinica - Multi-Department Clinic Operations Console with AI Assistant
Built a multi-department clinic operations console with appointment management, department load tracking, staff performance, resource utilisation and an AI assistant for staff queries - shipped from clickable AI prototype to production in 14 weeks.
Tallyman - Intelligent Document Processing for Trade and Customs Documents
Designed and built a clickable document processing platform for a Rotterdam freight forwarder and customs representative: it classifies commercial invoices, packing lists, bills of lading, air waybills and certificates of origin, extracts each field with a confidence score, checks it against business rules and sends only the uncertain fields to a person in a side-by-side review workspace.
Quillon - AI Clinical Scribe That Drafts the Note and Leaves the Clinician in Charge
Designed and built a clickable ambient AI scribe for a network of 14 New Zealand general practices: consent before recording, a structured draft note with every uncertain item flagged, SNOMED CT code and follow-up suggestions, approve and push to the practice management system, and an admin console for safety, retention and quality review.
Sanbuk - Accounts Payable Agent with an Operator Console and Approval Gates
Designed and built a clickable back-office agent for a Dubai mainland distributor: it reads the AP and vendor mailboxes, matches invoices to POs and goods receipts, checks UAE tax invoice fields, drafts replies and posts to the ERP, while people approve by amount, see every tool call and handle every bank detail change themselves.
Parison - AI Visual Inspection for Glass Bottle and Jar Lines
Designed and built a clickable quality console for a glass container maker near Pune with 4 furnaces and 12 forming lines: cameras and edge models classify every bottle and jar at the cold end, uncertain images go to a person, rejects are traced to the mould cavity that made them, and every decision shows the rule behind it.
What we automate
Grouped by the kind of work, with the builds that did it.
Documents and back office
Reading invoices, customs papers and receipts, then posting the result where it belongs.
Support and voice
Answering, triaging and routing customer requests by chat and phone, with a person to hand off to.
Claims, underwriting and risk
Claims intake, underwriting and credit decisions with the reasons shown and a person deciding.
Knowledge, legal and research
Search and assistants that cite their sources, from contracts to policies to equity research.
Clinical and care workflows
Clinical notes, symptom checks and clinic operations, with clinicians in charge.
Operations, vision and forecasting
Visual inspection, predictive maintenance, demand forecasting and monitoring from the field.
Sales and commerce
Call analysis, meeting notes into the CRM, shopping assistants and pricing.
Engineering and AI operations
Code review agents, LLM evaluation with release gates, and workflow builders with AI steps.
From one workflow to production
- 01
Pick the workflow
We start from one workflow your team wants off its plate and agree what a working result looks like.
- 02
Clickable AI prototype
Your team tries the flow on a clickable prototype before any production code is written.
- 03
Production build
We build the production version, with the approval steps and records your industry needs.
- 04
Launch and improve
It goes live in your team's hands, and we tune it as real work runs through it.
Industries we have automated work for
Industries with more than one AI build. Each links to every case study in that industry.
Built for the rules your industry runs on
How many of our AI builds cite each framework in their requirements.
Pay for outcomes or by the hour
Outcome-based
Hourly
Questions teams ask
What kinds of work can you automate with AI?
Work that follows a process and eats people's time: reading documents and posting the result, answering and routing support requests, claims intake, searching internal knowledge, clinical notes, visual inspection, forecasting and sales follow-up. Every example on this page is a product we built.
Does a person stay in control?
Where it matters, yes. Many of our AI builds keep a person approving the final decision: an accounts-payable agent with approval gates, claims intake with a person behind every decision, and contract review signed off by a lawyer.
How do you handle GDPR, the EU AI Act and other rules?
We design for the frameworks your industry needs from the start, not after launch. Our AI builds cite frameworks such as GDPR, the EU AI Act, ISO 27001 and HIPAA in their requirements.
How is AI automation priced?
Either way, whichever suits the work: outcome-based, where you pay per milestone, or hourly at $30-50 depending on role and seniority.
Can your engineers work inside our team instead?
Yes. Embedded engineers join your team on a flexible monthly retainer, part-time or full-time, with hours that overlap yours.
We are an AI lab and need human data. Is this the right page?
No. Human data for AI labs is a separate offer called OceanLab Labs: experts who produce training and evaluation data. See /ai-labs.
