1. The Collaborative Research Phase

Before a single line of production code was written, we ran a structured research programme with practitioners across the design and execution sides of construction. The goal was simple: identify the daily friction that erodes margin, slows decisions and seeds disputes — and design backwards from there.

Identifying the Value-Add

A focus group of project managers, contract administrators and senior engineers was assembled to map the real correspondence workflow. The pattern was consistent across every organization we observed. Skilled professionals were spending a disproportionate share of their week reading, classifying and cross-referencing letters, RFIs and instructions against contracts and specifications.

The work was high-stakes, repetitive, and deeply unsuited to manual handling at scale. Rather than build a generic summarizer, we focused on the moments where domain understanding genuinely changes the outcome: detecting an instruction that constitutes a variation, spotting a notice clause about to expire, or linking a site query back to the relevant specification clause. These are the points where AI earns its place in the workflow.

Competitive Advantage

Teams using contract-aware AI complete correspondence reviews in a fraction of the time required by traditional methods, while catching issues their predecessors routinely missed. The advantage is not raw speed — it is precision at speed. A contracts engineer who can interrogate ten thousand letters in an afternoon is not just faster; they are operating in a different category of awareness from competitors still working letter-by-letter.

Dual-Stakeholder Support

Construction is a two-sided industry. The design side — engineers, architects, consultants — produces the specifications, drawings and instructions. The execution side — main contractors and subcontractors — delivers against them. Misalignment between the two is the single largest source of dispute. Our platform was designed from the outset to serve both communities, with workflows, permission models and outputs that respect the different roles each plays in the contractual chain.