
Automation for the middle of a process
An agent demonstration built around triage, enrichment and routing — with escalation treated as a feature rather than a failure.
- AI Agents & Workflow Automation
- Software & Product Engineering
- Conversational AI

Technology & Automation
What this is
We map and automate operational processes: approval and routing workflows, document generation, data synchronisation between systems, scheduled reporting and the notifications that stop work sitting in someone's inbox.
Automating a broken process makes it fail faster and more consistently. Mapping what actually happens — including the undocumented workarounds — usually removes steps before any software is written.
The biggest gains often come from deleting steps nobody could justify once they were written down.
Most delay is waiting, not working. Routing and notification usually beat processing speed.
Automation that cannot handle the unusual case gets abandoned the first time one appears.
Use cases
Approvals moving through email and getting lost
The same data typed into several systems
Documents and quotes assembled manually from templates
Reports rebuilt by hand every week
Onboarding checklists tracked in spreadsheets
What this is
Relevant work
How it runs
The process as actually performed, including every workaround people have invented.
Remove and merge steps before automating anything that should not exist.
Build the workflow, integrations, exception paths and audit trail.
Track cycle time and volume so the benefit is visible rather than assumed.
What it should achieve
Hours returned from administrative work
Consistent process execution every time
Faster cycle times through fewer handoffs
A clear audit trail of what happened when
Related capabilities
Questions
Usually not. Most value comes from connecting what you already run rather than replacing it.
Scopus assistant
Simulated — scripted, not a live model