From the first thing you build with AI to a business that runs on agents. One architecture, three phases, and nobody skips a step.
Copilots, assistants, chat. Bought, licensed and rolled out.
Your data, your context and IP, your controls, your model choices.
ERP, CRM, HR, the core platforms the business runs on.
Anglo American
Woolworths
PepsiCo
DHL
Transport for London
Discovery Bank
NEOM
RCL FoodsEvery system in the estate assumes a person is standing in the middle of it.
Someone manages the IT to get the information into the report. Every cycle, by hand, before anyone has looked at anything.
The report gets consolidated with other information, hidden sheets and a judgement nobody wrote down. New manual reports get built on top.
Conventional org charts are built around people doing work with systems, not systems doing work for people.
A real process, as it runs today. Every step is a person.
The org chart is not the org chart. It defines the flow of information and work up and down the chain.
Leaders are starting to understand the constraint and inefficiency of this operating model, and the potential for AI to change it.
Accounts payable and receivable run on their own. Invoices arrive, get matched and get processed, with nobody touching them unless something is genuinely an exception.
An AI analyst pulls the data, spots the trends, flags the anomalies and drafts the first version of the monthly report.
A collections agent works the whole debtors book, decides who to chase and how, and escalates only where the relationship is at risk.
Prospecting. Researching companies, identifying fit, drafting outreach and managing the top of the funnel.
Account executives walk into every meeting with the research done, the talking points drafted and the follow-up already written for review.
A pipeline agent watches every open deal, takes the next action itself, and hands the rep only the ones that need a person in the room.
Scheduling, inventory, reorder points, logistics and capacity planning: the mechanical intelligence that keeps the gears turning.
The operations manager stops living in spreadsheets and starts working from live dashboards that show what is working and what is about to break.
A replenishment agent re-plans and re-books as demand moves, ordering within the limits you set, and calls the planner in on the trade-offs.
Every organisation is somewhere on this staircase, and nobody skips a step. Step one is no AI engagement at all. Step two is the first use cases built and running. Steps three and four are AI in the workflow, then the platform turned into an advantage competitors cannot copy. Step five is the AI native business, built around the models, and it is where the agentic architecture takes you. Find the step you are standing on, then take the next one.
Open an area to see what clients built with us.
Giving everyone a licence is a productivity decision.
This is a business architecture decision.
Agentic AIManaging the Growth of Enterprise AI Agents Read Article
Enterprise ArchitectureThe System of Record Has Been Demoted Read Article
Automation & AIYou Cannot Automate a Process Built for Humans Read Article
Data & AIYour AI Ambition Has Outrun Your Architecture Read Article
AI StrategyWhy Most AI Pilots Never Leave the Runway Read Article
Data & AIScale your AI & Data Investment Read More Tell us where you are on the staircase and what is live in the room. We will recommend one first step, not five.
South Africa · United Kingdom · Australia
No deck. One question and a whiteboard.
Thank you. That has reached the architecture team, and you can expect to hear back the same business day.
We only use these details to reply to you.