Process Modelling
Modelling the process as it actually runs, including the exceptions and the informal steps that never appeared in the documented version.
Automate the approvals, routing and service workflows that span teams.
The processes that cost the most are rarely complex in any single step — they are slow because work waits between steps, in inboxes and handoffs nobody owns. Nextherrion models those processes in Pega so routing happens automatically, service levels are enforced by the platform, and the exceptions are handled explicitly rather than by someone noticing.
Process modelling, approval and routing automation, service-level enforcement, and the employee and compliance workflows that span departments.
Modelling the process as it actually runs, including the exceptions and the informal steps that never appeared in the documented version.
Approval chains reflecting real decision rights, with delegation and escalation so work does not stall on one person's absence.
Intake, triage and fulfilment of requests, with status visible to the requester instead of requiring them to chase.
Service delivery processes with the steps, owners and timings made explicit and enforced.
Internal processes crossing departments — onboarding, access, transfers — where delay usually comes from the gaps between teams.
Processes with an evidence requirement, where what was done and when has to be demonstrable afterwards.
Service levels enforced by the platform, with escalation that fires on time rather than when somebody notices a breach.
Visibility into work in progress — volume, ageing, bottlenecks — so process problems are managed rather than discovered.
In most cross-team processes, the majority of elapsed time is waiting rather than working. That is the part automation actually removes.
Usually in waiting rather than working. Discovery measures elapsed versus active time, and the gap is typically where the opportunity is.
Yes. Automating an unexamined process makes it faster and harder to change, which rarely helps.
That is much of the point. Rules and routing designed to be business-maintained can change without a development cycle.
Explicitly. Exceptions are where undocumented processes actually live, so surfacing them during discovery is a large part of the value.
It removes coordination and chasing rather than the judgement work. In most processes the automatable part is the waiting.
Yes, through the interfaces those systems expose. Cross-system steps are usually where the current handoffs are slowest.
AI and Generative AI, agent frameworks, cloud platforms, data tooling and modern application stacks — chosen per problem rather than per preference.















Start with process discovery. Elapsed time against active time tells the story.