CCG Consult · AI Automation

AI automation consulting, built and owned.

AI automation consulting and implementation for large South African businesses. We advise, build and own the layer over your systems.

What it is

AI automation is the layer over the systems you already run.

AI automation is not one more tool to buy. It is the layer that reads your documents, runs your processes and writes back to the systems you already own. In most large businesses the manual work does not sit inside the ERP or the payroll system. It sits in the seams between them, on spreadsheets, inboxes and WhatsApp groups that no system owns.

Two things have changed. AI can now read a photographed delivery note, a supplier PDF or a voice note accurately enough to run a process on, when every result is checked against records you already hold. And software is cheap enough to build that you can own the layer rather than rent another department tool that does not join up.

Keep your core systems. Buy what is the same in every company. Own the layer that connects your systems and runs your processes.

The thinking, and the proof

Read the position paper.

Our CCG Intelligence position paper sets out where the manual work in a large business really sits, why more SaaS will not fix it, and what to build instead. It carries the real builds below in full, with the figures and the sources.

Position paper

The work between the systems. Own the layer.

Where the manual work in a large business really sits, why more SaaS will not fix it, and what to build instead. A CCG Intelligence position paper on business automation.

What we do

AI automation consulting and implementation, under one team.

Many firms stop at the strategy deck. CCG Consult advises on where automation pays and then builds and runs it, so the people who designed the work are the people who deliver it.

We advise

  • Where automation pays. We map the manual work across your business and rank it by what it costs and what it would take to automate. You get a plan, not a pitch.
  • The operating model. We design how the automated work will be owned and run: the steps, the owners, the exceptions and the measure that says it is working.
  • The change. The technology is the smaller part. We lead the people side so the new way is the way the work actually gets done.

We build and own: AI automation implementation

  • The automation layer. We build the layer that reads your documents, runs your processes and writes back to the systems you already own. Your ERP, payroll and bank stay.
  • AI that reads and drafts. AI reads delivery notes, supplier PDFs, emails and voice notes and checks every result against records you already hold. Code decides. A person decides when the AI is unsure.
  • Owned, not rented. The code and data sit in your accounts and your team can change them. We run it beside the old way until the numbers match, then hand each module to a named owner.

What we have built

Real builds, some live and some in progress.

These are builds CCG has delivered or is delivering in the AI automation space. Clients are not named. Each platform started with one job and sits over the systems the client already had.

ClientBeforeNow
Beverage distributorDelivery notes, remittances and claims arrived on paper, email and WhatsApp. They were filed and never checked. About 35,000 sales orders on the books.AI reads every document and matches it to the ERP. Matches close themselves. The rest go to a named person with a reason. The debtors team works exceptions only.
Retail and distribution groupProcurement ran on a project-management tool that had no idea what a quote or an exchange rate was.An eight-step procurement system with live exchange rates, landed cost, AI reading supplier PDFs, and proof of delivery by WhatsApp. The subscription was cancelled.
Same group, stockStock in spreadsheets. Reorder levels guessed years ago. Stock takes on clipboards.Reorders based on how fast items actually sell. Goods-received notes filled in by AI. Stock counted blind by two people on WhatsApp.
15-store fashion retailerTill closures copied into 15 spreadsheets and checked against the bank line by line every Thursday.Automatic reconciliation across 11 payment types. The Thursday review now covers exceptions only. The client then ordered four more builds on the same base.
Payroll bureauEmployees phoned and emailed all month for payslips and leave balances.Payslips, tax certificates and leave on WhatsApp. Managers approve leave in the chat and it writes back to payroll. No app, no login, no training.
Property group, 1,000+ tenantsTwo property systems, Excel, WhatsApp groups and paper job books.One system for the whole business. A tenant's WhatsApp message becomes a job card. Built to run twice the portfolio with the same staff.

How we work

Map it. Model the data. Then automate.

Most failed automation projects skip a step: they automate a process nobody mapped, on data nobody cleaned, and hand it to nobody in particular. We work in this order.

  • 1. Map the work. Sit with the people who do it. List every spreadsheet, inbox and WhatsApp group that carries it. Rank what to automate first.
  • 2. Model the data. Connect the source systems. Agree one definition of customer, outlet, product and order. Find and fix the duplicates.
  • 3. Automate. Design each process as steps with owners and deadlines. Plan for the exceptions first. Test on last quarter's real data.
  • 4. Own it. Name the owner. Set one measurable target. Review monthly. Pick the next module.

Where we work

AI automation in Johannesburg and Cape Town.

We run AI automation projects from our Johannesburg head office in Sandton and our Cape Town office in Century City, for clients across South Africa and beyond. Whether you need AI automation in Johannesburg or Cape Town, the same team advises, builds and owns the work with you.

Start with a map.

A four-to-six-week mapping of one or two processes you choose. You get a map of the work, a ranked list of what to automate, and a costed first module. Then you decide.

Talk to CCG Consult about AI automation.

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