Process diagnosis & scoping
What to automate. What to leave alone. What to retire. The assessment that decides what the rest of the engagement looks like, before a line of code is written.
Enterprise Automation
Business processes automated end to end. Built to survive the year-two reality check.
Enterprise Automation is the work that happens between systems, not inside any single one. ERP to CRM to data warehouse to the people who decide. The connective tissue, not the apps it touches.
A decade of practice taught us where automations actually break. Not at launch. In year two, when the systems beneath them evolve and the rules drift. We design for that.
The diagnosis
Most enterprise
Most enterprise
automations don't
fail at launch.
They fail in year two.
Many automations work at pilot. They work at launch. Then they quietly degrade as the systems they touch evolve. RPA bots break when underlying screens change. Process automations turn brittle when business rules drift. The org ends up maintaining the automation rather than benefiting from it.
The fix isn't more bots. It's design for change. The automations that survive year two were architected differently from the ones that didn't. The difference compounds.
- Automations should outlive the systems they depend on, not just their launch.
- Reliability is engineered through adaptability and self-healing, not patched in after.
- Process orgs need governance, not just tools.
What we do here
Four sub-capabilities,
Four sub-capabilities,
layered.
Each one stands alone in a focused engagement. Most clients arrive with one of these problems and discover, in Discovery, that they need two or three.
Cross-system orchestration
The hardest part of enterprise automation isn't inside any one system. It's the orchestration between them. ERP to CRM to data warehouse to the people who decide. We build the connective tissue, not the apps it touches.
Agentic process automation
Agents where judgement is needed. RPA where rules suffice. The boundary is designed, not assumed. Reliability through adaptability and self-healing, so the automation survives the next platform upgrade.
Automation organisation design
The org owns the automation, not the consultancy. Cadence, ownership, governance, team shape. Tooling is the easy part. The harder part is the operating model that keeps it alive.
How we work here
Same four phases.
Same four phases.
Applied to enterprise systems.
The Discovery, Design, Build, Run shape doesn't change. What changes is what the diagnosis asks about, what the design produces, and what the run looks like when the area is cross-system process work.
01DIAGNOSE
Discovery
What processes are worth automating. What's automated wrong today. The systems touched, the dependencies, the change rate of each. The diagnosis is the work, not the warm-up.
02PRESCRIBE
Design
Process architecture, system touchpoints, judgement boundaries, governance model. Designed to outlive the next platform upgrade, because we know it's coming.
03ASSEMBLE
Build
Built inside your environment. RPA where rules fit, agents where judgement does. Wired into your existing systems, not next to them. Tested by the people who built the design.
04PARTNER
Run
We stay. Within twelve months your team owns it. The automation matures with your operation, not against it. We measure that handover.
What we measure
Three signals
Three signals
that matter to most clients.
What we measure differs by engagement. These three carry weight in nearly every one.
01
Change resilience past 12 months
What share of your automations still run, unchanged, twelve months after deployment, across the underlying system upgrades and rule drifts that usually break them.
02
Cycle time, sustained
Process cycle time at month one versus month twelve. The launch number is easy. The durable number is what matters.
03
Maintenance hours to value hours
Hours per week the team spends maintaining the automation versus hours of operational value it returns. The ratio that tells you whether automation became an asset or a liability.
Often paired with
Read the area
Test Automation
Enterprise Automation and Test Automation often sit in the same engagement. Test suites validate the systems the automations depend on; the orchestrator, the team, and the discovery are shared. If your problem reaches into application quality as well, you may be looking for both.
Tell us where the process breaks.
We'll tell you whether automation is the answer, and if so, where to begin. Honest answers, inside one working day.