AI Product Engineers. Years of hands-on experience building production-grade AI products.
Multi-agent products built the whole way through: architecture, backend, frontend and deployment, not just a model wired into someone else’s app.
Work
Case studies from the Products We’ve shipped.
Capabilities
What these builds demonstrate, in practice.
AI & LLM systems
Multi-agent pipelines, RAG retrieval and evidence-grounded assistants, built with explicit guardrails and human review, not open-ended chat.
Workflow automation
Multi-role approval chains, state machines and escalation logic for processes that involve real money, real deadlines and real accountability.
Full-stack product engineering
Frontend, backend, data layer and deployment, owned end to end. Every build here is a complete application, not one layer of a bigger team's work.
Integrations
Xero, Jira, Salesforce, Fireflies, Google Calendar, Miro, Stripe and OpenAI/Claude, wired into real operational workflows, not demo stubs.
Dashboards & analytics
Executive and operational views that turn raw activity into a ranked, actionable picture: health scores, release risk, portfolio KPIs.
Document & data intelligence
OCR extraction, financial-statement parsing and confidence-scored field mapping, always paired with a human review step before data is trusted.
Role-based access & governance
Explicit approval authorities, audit trails and AI decision boundaries. Several builds document exactly what AI is not allowed to do.
Testing, security & quality
Test coverage, security review and performance benchmarking treated as part of the build. Several projects ship with documented coverage and security reports, not just as a demo.
Approach
How a project actually moves.
The same six stages, every time, so you always know what happens next and never wait months to see something real.
Listen
We interview stakeholders to find the real problem and the goals behind it, not just what's in the brief.
Research
We check what's realistic and how similar problems get solved, before committing.
Build
We ship working software early and often, never a months-long silence.
Scope
We scope and estimate the build so you have a clear timeline before a single line of code is written.
Iterate
We get builds in front of real users early, then refine flows and fold in real feedback.
Ship
We harden it and hand over production software, not a prototype to rebuild.
Listen
We interview stakeholders to find the real problem and the goals behind it, not just what's in the brief.
Research
We check what's realistic and how similar problems get solved, before committing.
Scope
We scope and estimate the build so you have a clear timeline before a single line of code is written.
Build
We ship working software early and often, never a months-long silence.
Iterate
We get builds in front of real users early, then refine flows and fold in real feedback.
Ship
We harden it and hand over production software, not a prototype to rebuild.