The systems your people open every morning, the processes running inside them, and the data running through them. Business processes sit at the epicenter of transformation.
Different symptoms. Usually the same estate underneath.
Hundreds of applications, a significant number custom — scripts, integrations, data transforms. Tracing the fault is the complex part.
Fifteen days when it should be five. Externalized processes and data alignment across applications are usually the reason.
Contracts out of sync with the finance system, field adjustments and credits never captured, and a customer left to reconcile their own bill.
Shelfware. Sold to the business, supposed to be easy, and adoption never happened.
Consumption and token-based pricing with no guardrails on who is spending what.
No master data strategy underneath, so the answers across systems are compromised.
And then a hundred thousand of them, each leadership change adding its own.
The systems the business itself uses to sell, to plan, to serve, to deliver, to get paid, and to connect with its customers and its people. They integrate to different degrees, and together they drive every key business process in the company, data taxonomies included. Business leaders talk in processes, not taxonomies. So do we.
Lead to quote, quote to cash, CRM.
Customer lifecycle and experience management, professional services automation.
Financial planning, general ledger, close the books, payments and collections.
Procure to pay, license and contract visibility.
Integration, master data and consolidated reporting — where enterprise scale becomes a data and handoff problem.
Modern enterprise applications arrive with best practice already inside them. Adopt it, or migrate to a platform that has it, rather than rebuilding what you already do inside newer software. The process is what changes, not the software.
Every field needs a process behind it — why it is captured, what it is for, when it is sunset. Change discipline is what lets you know what was done to a system and what a change will do. It gets skipped when the relationship is close and the request is small.
Consumption pricing moved the risk onto you, and tokenization moved it further. When someone pushes the button, they are spending money. Guardrails, not trust — and a small, constrained environment for AI until there is a proof of concept.
Structured delivery, blended: waterfall, dynamic implementation and Agile as the work demands. A business analyst who spends time with the business, liaisons who spend time with leadership, and a set of external eyes working to drive success.
Name the process, agree the scope, and decide what changes before anything is configured.
Configuration over customization. Learn, train, learn and drive adoption, with honest report-outs.
A priority-based methodology for feature requests, change requests and mandatory upgrades. Testing and release discipline alongside.
What flows between applications, upstream and downstream — and a master data strategy so the answers hold.
The data to answer the cost question sits inside the applications. Nobody can answer it until the estate is understood.
Which systems the combined company runs on, what getting there costs, and where stranded cost concentrates.
The systems are also the main interface to customers at scale. Consistent process is what makes the numbers defensible.
Engineering-focused cost reduction across tools, people and applications, in organizations we have led. The percentage publishes; the method behind it is the engagement.
Before the migration, the renewal or the combination — what is actually in the estate, and what is it costing you to keep?
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