AI systems and training for organisations where the stakes are real.
We build AI systems, governance frameworks, and structured training for organisations working with sensitive data, vulnerable populations, and complex operating environments — from development and peacebuilding to digital assets and fintech.
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Building Enterprise-Grade AI Agents: Eight Practices That Separate Production Systems from Prototypes
The gap between an AI agent prototype and a production system is engineering discipline. Eight concrete practices — from two-phase architecture to token budget enforcement — illustrated with real production code.
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View all →Exploring the Ethics Gap of AI-Assisted Data Workflows in the Humanitarian and Development Sectors
AI-driven digital transformation in humanitarian work is outpacing the ethical frameworks that govern it. This post examines the gap between anonymisation, consent, and the realities of processing vulnerable populations' data through third-party AI systems.
The Agent Engineering Standard: A 13-Category Specification for AI Systems
Every category traces back to something that broke. Here's what broke, what we built, and how we enforce it.
When AI Operates Your Infrastructure: Why Every Control Must Be Structural
An AI coding assistant deleted 2.5 years of production data in seconds. Every root cause was preventable — but not with the controls most teams have in place. Here is a five-layer model to help make destructive actions structurally impossible.
Deep Dives
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The Agent Engineering Standard: A 13-Category Specification for AI Systems
Every category traces back to something that broke. Here's what broke, what we built, and how we enforce it.
ERC-3643 Tokens as Institutional-Grade Collateral for OTC Derivatives
This paper explores whether ERC-3643 compliant stablecoins can serve as eligible collateral for non-regulatory variation margin in institutional OTC derivative operations.
ERC-3643 tokens for Derivative Collateralization
ERC-3643 tokens for Derivative Collateralization explores how compliant tokenized collateral can improve bilateral OTC trading by embedding regulatory compliance directly into the token infrastructure while enabling automated settlement and risk management through smart contracts.
Case Studies
View all →Production Intent Pipeline for B2B Sales Intelligence
Managed pipeline that identifies in-market buyers from LinkedIn engagement signals, scores and enriches contacts against a custom ICP, and delivers qualified leads directly into HubSpot — designed for continuous weekly operation with resumable execution and conservative rate limiting.
ERC-3643 Tokens as Collateral for Institutional OTC Derivatives
Proof of concept exploring whether ERC-3643 compliant stablecoins can serve as eligible variation margin collateral for bilateral OTC derivatives — tested with USD/BRL NDFs using Chainlink CRE for trustless settlement orchestration.
ERC-3643 Tokens for Compliant Derivative Collateralization
How ERC-3643 compliant tokenized assets can serve as margin for uncleared OTC bilateral derivatives — embedding KYC/AML into the token framework and automating the derivative lifecycle with smart contracts.