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About Gauldrock

Founded by construction operations professionals.

We started Gauldrock because the AI tools being sold into construction were built for tech companies and retrofitted for contractors. We thought construction deserved better — and that the firms ready for AI deserved a partner who actually understood their operating model.

Sector focus
100% built environment
Engagement size
$50k – $5M+
Avg. tenure
Multi-year
Mission

Make construction operations measurably more profitable through practical AI.

Construction has spent two decades buying software. The result has often been more systems, more data entry, and more reporting — not less. The administrative load on project teams has grown, not shrunk.

AI is the first technology in a generation with a real chance of reversing that trend. Done well, it absorbs administrative work, surfaces operational truth faster, and gives executive teams a clearer view of what is actually happening across their portfolio.

Done badly, it adds another layer of cost and complexity. Our job is to make sure the firms we work with are in the first category.

Methodology

A 60–90 day path from operational discovery to first workflow in production.

  1. 01

    Operational discovery

    Two to four weeks. Map the operating model, identify the highest-impact workflow, and define the operating baseline.

  2. 02

    First workflow design

    Design the AI system around the workflow — integrations, approval flows, escalation paths, and audit trail.

  3. 03

    Build and integrate

    Connect to existing systems. Build the AI components. Pilot inside a single project or division.

  4. 04

    Operate and review

    Run alongside the client team. Quarterly operating reviews against the original baseline. Expand based on results.

What we believe

Six principles that decide what we work on — and what we don't.

Industry first, technology second

Every engagement is led by people who have run construction operations. The technology is there to serve the operating model, not the other way around.

Operationally honest scope

We say no to projects that won't return their cost in the first year. We are not interested in multi-year transformations that quietly run aground.

Integration over replacement

Procore, Aconex, SAP, Oracle, Odoo, Microsoft 365 — we make existing systems more useful. We do not ask you to rip and replace.

Audit-ready by default

Every AI output is observable, traceable, and reviewable. Construction is a high-assurance environment. The systems we build behave that way.

Operate, don't just deliver

We stay involved through the operating reviews. Most engagements include a quarterly performance review against the original operational baseline.

Build internal capability

We expect to make ourselves smaller over time on each engagement, by transferring capability to the client team — not bigger by deepening dependency.

Talk to us

Find out whether your operating model is ready for the kind of work we do.

The first conversation is short, sector-specific, and free. If we are not the right partner, we'll usually be able to tell you who is.