One engineering firm now gets changes in days, not a monthWho built it

Hit a wall
with AI?
We'll take it
from here.

The spreadsheet only one person understands. The tool that never went live. The emails your team still retypes. We build the fix into the systems you already use, and stay until your team runs it.

01Map · People

Start with a real org chart.

You cannot decide what to augment without a baseline. Our own AI workflows draw your organization as it actually runs, inside your infrastructure, so your data stays home and nobody loses a week to interviews. Then we rank the gap roles standing between you and your objectives, and weigh whether an AI workflow can fill each one.

02Map · Process

Evaluate every department's workflows.

We score every workflow in every department with our own framework: what to automate, and in what order. The point is your current team, with better work quality, less time on admin, and more of the week on the work that earns revenue.

03Map · Technology

Uncover your real tech footprint.

Most executives cannot see the tangle of systems the work actually runs on, and those interdependencies decide which workflows can be automated at all. We chart them before promising anything. The one ten departments lean on lights up as you watch.

04Train

Train your people.

Great companies are great because of their people, so we use AI to make your team more productive, never to replace it. A capability map for every employee shows where AI can carry part of the load, and where training lifts their fluency, so each person performs at their best.

05Build

Build agentic workflows.

After the scoring picks the best workflows, we build them inside your own infrastructure. Each one triggers, reads what it is allowed to read, checks the answer against your own catalogue, and waits for a named person before anything moves. Your team approves what goes out.

Map the organization once,and you know who to trainand what to build.

Who you're bringing inAbout us

Who you'd be working with, and what they've built.

Cho Yin Yong

Principal AI Solutions Engineer

  • Led development of the vaccine booking platform used by one in ten vaccinated Canadians
  • Sessional lecturer at the University of Toronto since 2022
  • Named inventor on two patents, published 2024 and 2025
  • Cut data-integration time at Verto Health, a Canadian health-data company, from four months to under two weeks
Mahmoud Halat

Principal AI Solutions Architect

  • Employee two at Verto Health, through to director of product
  • Product lead for software in more than 100 healthcare deployments
  • Named inventor on a 2025 patent for clustering medical coding systems
  • Master of Health Informatics

Recent work

An engineering firm's job tracker, rebuilt

We mapped 98 screens in three days, moved 13 tables with every value exact, and July payroll matched the old system. Changes that took over a month now ship in one to four days.

Recent work

Ziani.ai

We built the backend for Ziani.ai's AI agent, which watches UK parliamentary committees live and alerts its users minutes after something relevant is said.

How it startsFour steps, priced

We start with one job on your own files, then stay for the rest.

  1. 01

    First call

    Free

    Thirty minutes. Bring one job your team repeats every week, and the spreadsheet or inbox it lives in.

  2. 02

    One job, working

    £5,000, fixed

    About two weeks on your own files, so you see it work before you commit to more. If you go ahead, the £5,000 comes off the build.

  3. 03

    The build

    Usually £10,000 to £30,000

    We connect it to the systems you already run. Your team checks its work until you trust it.

  4. 04

    Live operations

    From £1,500 a month

    We keep it accurate as your work changes, train the people who use it, and take on the next job.

Work with us

Book a call.We'll come back with specifics.

Start with the map of your organization, or with the one job that hurts. Measured in hours and money, and everything we build stays yours.

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