The ERP does not get replaced. It stops being something people operate, and becomes something agents transact in, under your policy, with your people setting the rules and taking the exceptions.
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.
Every transaction has a person in front of it. Throughput is bounded by headcount, the audit trail is a login, and the policy lives in a document nobody reads.
Throughput stops being a function of headcount. The audit trail is written as the work happens, and the policy is the thing the agent is actually executing.
Credit terms, approval limits, matching tolerances and payment rules, written where an agent can execute them, not in a manual.
One customer, one vendor, one cost centre, one definition of margin. Where this is unresolved, nothing above it can be trusted.
What an agent may do alone, what needs a human, and what needs two. Delegation of authority becomes a configuration rather than a convention.
Who acted, on whose authority, against which data, at what cost: reconstructable months later, for an auditor who was not in the room.
Automation has been leveraged before. With agents, the process becomes more intelligent.
Work you automate completely. No person in the loop. The machine runs it, and you stop paying for it again every year.
AI agents replace RPA tools, with a more intelligent, learning-based approach to execution.
Work where AI augments your people. The team stays. They simply get further in a day than they could before.
Tools like Copilot and Claude give knowledge workers more power to perform.
Work where an agent runs an entire function: not assisting a person through it, but carrying the function itself.
Agentic orchestration platforms provide the scale to run and manage autonomous agents.
Open an area to see what clients built with us.
Your close, your working capital and your planning cycle, mapped on effort against value by the people who run them. You leave with a shortlist your own team built.
BookHow many versions of the plan exist, where the cycle actually goes, and what a re-forecast really costs. A costed view of the planning estate and what to fix first.
BookWhere the days in your close actually go, which controls exist only because a person performs them, and what could be carried by an agent inside twelve months.
BookCurrent-state assurance across the finance estate, then a costed and sequenced target state across data, context, control and model routing, defensible to your audit committee.
BookTake what has already been built and get it into production, with forward deployed engineers and data scientists working alongside your team.
BookValue out of the door. The first use cases identified in the diagnostic, delivered alongside your team. The business sees a return while the foundation is still being built, and gets used to continuous delivery rather than waiting for a programme to land.
The foundation underneath. The data layer, the context and IP, the controls and the model routing. Built once and built properly, so the second wave of use cases costs a fraction of the first and nothing starts from zero again.
Giving everyone a licence is a productivity decision.
This is a business architecture decision.
Choose the statement closest to your organisation.
Which sounds most like you?
Where agents belong in finance, decided by the people who run it
Your close, your working capital and your planning cycle, mapped on effort against value by the people who run them. You leave with a shortlist your own team built.
Book thisWhat your planning cycle really costs, and what to fix first
How many versions of the plan exist, where the cycle actually goes, and what a re-forecast really costs. A costed view of the planning estate and what to fix first.
Book thisWhere the days in your close go, and which of them an agent could carry
Where the days in your close actually go, which controls exist only because a person performs them, and what could be carried by an agent inside twelve months.
Book thisWhether the finance estate is ready for agents, and what it takes to get there
Current-state assurance across the finance estate, then a costed and sequenced target state across data, context, control and model routing, defensible to your audit committee.
Book thisGet what finance has already built into production
Take what has already been built and get it into production, with forward deployed engineers and data scientists working alongside your team.
Book thisTell us what is live in finance today. We will recommend one first step, not five.
South Africa · United Kingdom · Australia
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