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[ AI consulting ]

An AI layer over the business that does the work.

We find what’s eating time and margin, then wire it into the stack you already run. Operating system, agents, and the automations between them. You own what we build.

Audit

Where work actually stalls, and which AI moves are worth making. Not a strategy deck.

Roadmap

Ranked by impact and how fast it can be live. The first win is weeks, not a quarter of slides.

Operating system

One layer over CRM, inbox, invoicing, and the job tools. It surfaces what’s slipping and handles it.

Automations

The repetitive handoffs across sales, support, and delivery, with a human check where it matters.

Where the team already works

Slack, the inbox, the CRM. The system shows up there. Nobody learns a new app to use it.

AI employees

Named roles for inbox, content, and front desk, when a full operating system is more than you need.

  1. 01

    Diagnose

    The real process, not the one in the deck.

  2. 02

    Prioritize

    Stack-rank by impact and how soon it pays back.

  3. 03

    Build

    Production systems your ops can depend on.

  4. 04

    Tune

    Close the gaps. Cost, reliability, and quality, after it’s live.

In production.

[ FAQ ]

AI consulting, answered.

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No. It’s systems that do real work: uninvoiced jobs, pricing from historical proposals, delivery and admin. The case studies are the proof.

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