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Taking on new engagements

Nothing in your business talks to anything else.

We connect the systems, unify the data, and put a private AI on top. Then we point it at whichever department is losing the most hours.

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Processes mapped per audit, on average
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Saved per week on average
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Faster operations
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Languages we build in
From the inside

You already know
the symptoms.

None of this is a people problem. It’s a connection problem, and it’s fixable in weeks.

Month-end

Three days and two arguments.

Stock

The number depends on who you ask.

Access

Works from the office. Only from the office.

Continuity

The person who built it left in 2019.

Support

Your vendor stopped patching your version.

Visibility

A simple question takes a day to answer.

How it stacks

You don’t buy
all of it.

Three layers, bought in sequence. Build the foundation once, then add functions as they pay for themselves. The order matters more than the menu.

01Bought once

Foundation

Systems move to cloud infrastructure and start speaking to each other. Paper becomes searchable. Nine sources of the same record become one. Unglamorous, and nothing above it is possible without it.

02Bought once

Company Brain

A private AI trained on your operations. Ask it plainly and get the answer in seconds, in the language your team speaks. Your data never leaves your control and never trains anyone else’s model.

03Added incrementally

Function deployments

AI applied where the work actually happens. Nine departments, each with its own return. Start with whichever has the shortest payback and add the rest on your schedule.

Where it gets deployed

Nine departments,
nine returns.

Sales

Leads scored on what actually converts. Proposals in minutes.

Marketing

Content pipelines, five languages, creative tested at volume.

Customer support

Agents on web, WhatsApp and voice. Tickets triaged before anyone reads them.

Operations

Demand forecast, stock optimised, reorders triggered.

Finance

Invoices captured without typing. Month-end cut in half.

People

Screening, scheduling, onboarding. A helpdesk that answers at 11pm.

Engineering

Legacy code documented. Tests generated. AI inside your own product.

Leadership

Scenario modelling and board reporting that assembles itself.

Governance

Usage policy, accuracy monitoring, and the training that makes people use it.

Our approach

We don’t sell a product.
We find your problem.

Nothing comes off a shelf. Two companies in the same sector, the same size, get different builds — because the thing that’s actually broken is never the same.

01 — Map

Map

We map every process a system should be handling instead of a person. Usually twenty to thirty, ranked by how fast each pays for itself.

  • Process interviews
  • Cost model, assumptions shown
  • Payback ranking
  • The ones not worth doing
02 — Prove

Prove

We take the fastest-payback item and build it. One process, working in production, before anything larger is committed to.

  • Real data, real users
  • Four to six weeks
  • Honest estimate for the rest
  • Walk away intact if it fails
03 — Build

Build

Foundation work in phases, running parallel to your existing systems. Cutover happens on your schedule. Nothing goes dark.

  • Parallel running
  • Staged cutover
  • Your cloud accounts
  • Documented as we go
04 — Adopt

Adopt

The reason these projects fail is rarely technical. Training and change management are part of the engagement, not an upsell.

  • Role-specific training
  • Sceptics first
  • A named owner
  • Quarterly re-scoring
The Difference

From chaos
to automatic.

This is what your workflow looks like before and after we step in.

Manual
Data Entry
Errors &
Rework
Wasted
Hours
↓ We fix this ↓
Auto
Captured
Validated
& Clean
Time
Saved
ROI Calculator

See your potential
savings.

Drag the sliders. The math updates in real time. Every assumption is yours to change — that is the point.

Your current situation

Estimated Annual Savings
$0
0 hours/year recovered
Most projects pay for themselves in
2-3 months

Assumes 80% of that time is actually recoverable, over 50 working weeks. Both are arguable — that is why they are written down.

Cloud Migration + AI

From stuck on a server
to accessible everywhere.

If your software only works from the office, you're locked in. We set it free.

On-Premise
Server in the back room
Only works at the office
No remote access
Manual backups, risky updates
We Migrate You
Cloud + AI
Access from anywhere, any device
Auto-scaled, no downtime
AI assistant: ask questions, get answers
Enterprise-grade security, auto-backups
company-brain Live


        

This is a demo company. Yours would be trained on your data, and only yours.

What changes

Before vs After.

● Before Systems Origin
  • A stock figure lives in three systems and the warehouse keeps its own spreadsheet
  • Month-end close takes three days and two arguments
  • Finding last year’s signed supplier contract means walking to a filing cabinet
  • A quote waits two days for someone to check pricing
  • Nobody works from home because the software only runs on the office network
✦ After Systems Origin
  • One record, written once, read by everything — the spreadsheet becomes a report
  • Reconciliation runs daily; close is a review of exceptions
  • Full-text search across every document the company owns, including scans
  • Quotes go out in twenty minutes, priced from live cost data
  • The system works from anywhere, on any network
Questions

The ones we
get asked first.

Free · Yours to keep

Your free AI
Opportunity Map.

We map every process a system should be handling instead of a person — sales, marketing, support, operations, finance, people — and rank them by how fast each one pays for itself. Twenty minutes of your time. Free, and yours whether or not you work with us.

What’s in it
  • Readiness score across five pillars, benchmarked against your sector
  • Every automatable process we can identify, department by department
  • Estimated annual cost of the manual work, with every assumption shown
  • Payback ranking — what to do first, second, and not at all
  • Risk register: unsupported software, single points of failure, data exposure
  • Five real questions your custom AI would answer, in your vocabulary
  • A phased roadmap with indicative costs
What happens on the call
0–3 min

Context

What you do, how big, what’s changed recently.

3–13 min

One job, end to end

You walk us through a single job from enquiry to payment received. We mostly listen.

13–17 min

A working assistant

We show you one built on your public information, and where it hits the wall.

17–20 min

Next

What we’ll send and when.

No slides. No pricing conversation. You’ll know within five minutes whether this is useful.