a
Agentic Architecture

Building the
Agentic Future

From the first thing you build with AI to a business that runs on agents. One architecture, three phases, and nobody skips a step.

  1. Your data
  2. Your context and IP
  3. Your controls
  4. Your model choices
Where are you starting from?
Innovating for the world’s largest brands
Technology in the enterprise

For forty years, software has been built for humans.
Not the other way round.

Every system in the estate assumes a person is standing in the middle of it.

01

A person moves the data

Someone manages the IT to get the information into the report. Every cycle, by hand, before anyone has looked at anything.

02

A person makes it mean something

The report gets consolidated with other information, hidden sheets and a judgement nobody wrote down. New manual reports get built on top.

03

The org chart follows the people

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.

  1. Data entry
  2. Handoff
  3. Data entry
  4. Decision point
  5. Handoff
  6. Approval
  7. Approval
  8. Report generation
  9. Data entry
  10. Handoff
  11. Decision point

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.

Functional impact across the organisation

How we are helping clients
use AI today

FinanceAutomation · Augmentation · Autonomy
Automation

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.

Augmentation

An AI analyst pulls the data, spots the trends, flags the anomalies and drafts the first version of the monthly report.

Autonomy

A collections agent works the whole debtors book, decides who to chase and how, and escalates only where the relationship is at risk.

SalesAutomation · Augmentation · Autonomy
Automation

Prospecting. Researching companies, identifying fit, drafting outreach and managing the top of the funnel.

Augmentation

Account executives walk into every meeting with the research done, the talking points drafted and the follow-up already written for review.

Autonomy

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.

OperationsAutomation · Augmentation · Autonomy
Automation

Scheduling, inventory, reorder points, logistics and capacity planning: the mechanical intelligence that keeps the gears turning.

Augmentation

The operations manager stops living in spreadsheets and starts working from live dashboards that show what is working and what is about to break.

Autonomy

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.

Where are you?

Five steps from no AI to AI native.
Step five is where you need to be.

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.

01No AI engagementIsolated legacy processes. Nothing runs on it yet.
Phase 102Tactical deploymentsUse cases built, in production, serving teams.
Phase 203AI as enablerEmbedded in workflows. Faster decisions, same people.
Phase 204Competitive advantageNet-new revenue competitors cannot copy quickly.
This is where you need to be05AI native businessThe organisation is built around the models.
Decision Inc. view of where the market sits in 2026Nobody skips a step. The businesses at the top got there one build at a time.
Our work building the frontier

Examples of our
client work

Open an area to see what clients built with us.

01Generative AI in the journeyProducts customers and patients use, not internal demos.
HealthcareDischarge summaries rewritten into plain language. 4,553 patient queries, 1,541 patients, 90% satisfaction.
WoolworthsA decade of Taste content turned into a Gen AI Shopping and Culinary Platform.
EVT30,000 comments a month read, themed and flagged in real time.
02Predictive and governed MLModels a clinician, or a regulator, will accept.
HealthcareReadmission risk scored pre-discharge. Explainable outputs, drift monitored continuously.
PepsiCo30% reduction in staff overtime running cost, optimising utilization, demand and workforce configuration.
ArcelorMittal90% reduction in text ordering and 95% compliance to Contract Management in less than 1 year.
03Agents inside the processWhere the work actually gets done, at volume.
Henry Schein70% of customer chats resolved by an agent, in 11 languages, against live order data.
Kogan40% of enquiries handled end to end: tracking, cancellations and returns.
Austin HealthResearch compliance review from 15 minutes to 1, approvals in a day not weeks.
04The foundation underneathWhere most of the effort goes, and where it fails without it.
OmniaLegacy and siloed to a governed lakehouse for 3,800 people, with certified data products.
MiningA production AI data platform stood up in four weeks, then handed to their own team.
MedTech14.5 TB of reclaimable storage down to 119 GB. An architecture fix, not a clean-up.

Giving everyone a licence is a productivity decision.

This is a business architecture decision.

Start here

Thirty minutes.
Where you are, what has been tried, we will show you how others have scaled quickly.

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

Talk to an Engagement Lead

No deck. One question and a whiteboard.

We only use these details to reply to you.