Question 1

What does Codesurance do?

Accepted Answer

Codesurance designs, engineers, and assures production-grade artificial intelligence systems. Our three practices are AI Architecture, AI Agent Engineering, and AI Assurance. We work with leaders in healthcare, finance, education, the green economy, the public sector, and frontier industries to move AI from prototype to operating leverage — safely, scalably, and with full audit trails.

Question 2

What industries does Codesurance focus on?

Accepted Answer

Codesurance focuses on regulated, mission-critical, and human-centric industries where AI creates non-linear leverage: healthcare, financial services, education, the green economy (climate, energy, sustainability), the public sector, and selectively chosen frontier sectors such as biotech, robotics, and AI-native startups.

Question 3

How does Codesurance engage with new clients?

Accepted Answer

New engagements typically begin with a two-week Discovery Sprint that produces a use-case map, a system blueprint, and a phased delivery roadmap. From there, work moves into architecture and evaluation, then build and assurance, and finally operate-and-expand. Every stage ships defined artifacts.

Question 4

What is AI Assurance?

Accepted Answer

AI Assurance is the discipline of treating safety, audit, and continuous evaluation as core engineering primitives rather than afterthoughts. Codesurance assurance work includes layered safety policies, full audit trails of prompts and decisions, continuous eval gates wired into CI, drift and degradation monitoring, and pre-mapping to sector frameworks such as HIPAA, SOC 2, the EU AI Act, FCA, and NHS DSPT.

Question 5

How do I contact Codesurance?

Accepted Answer

You can reach Codesurance at info@codesurance.com or via the contact form on https://www.codesurance.com/contact. We respond to enquiries within one business day.

Question 6

Where is Codesurance based?

Accepted Answer

Codesurance is a remote-first company operating across the United Kingdom and European Union, working with clients globally.

Field notes from the frontier.

The reference stack for production AI in 2026

Why agent evals are the new unit tests

A practitioner’s guide to AI audit trails

Where AI compounds: our sector bets for 2026