Triage
The routing happens itself
AI agents read incoming queries, classify them, and route or resolve — escalations, billing, service changes — before a human ever touches them.
For the COO / Head of Operations
More throughput, not more headcount.
Automate the document-heavy busywork — triage, escalations, billing queries, service changes. AI agents handle the routing and the lookups so your people spend their hours on the work that actually needs them.
Auto-triage
Cited + consistent
Live telemetry
What changes for you
Four things an operations leader actually gets.
Throughput
More volume, same team
Handle spikes without temp hires. The agents absorb the repetitive load so your people work the exceptions.
Consistency
Every case handled the same way
Policies applied uniformly, with a citation trail. No "it depends who picked up the ticket".
Visibility
See the operation in real time
Operational telemetry on what is coming in, what is resolved, and where the bottlenecks actually are.
The platform behind it
The machinery behind the throughput.
The platform that does the routing and the lookups.
Persistent memory
Process memory across runs
Agents retain context between runs and shifts, so a case picked up later has the history it needs. Secrets stay in an encrypted vault, out of the workflow.
MCP
Governed tools, not loose scripts
Every action an agent can take is a declared, permissioned tool behind one protocol — automation that is auditable and scoped, not a pile of brittle scripts.
Integrations
Automate across systems
Visual n8n/Flowise workflows on your own dedicated instance orchestrate lookups, routing and escalations across the systems your operation runs on.
Corpus
Consistent, cited lookups
Policies and procedures retrieved from one private corpus with a citation trail, so every case is handled the same way — no "depends who picked it up".
Scrapers
Procedures stay up to date
Policy and reference sources are kept current by automated ingestion, so agents apply the latest version — not a copy someone forgot to update.
Fine-tuning
Right-sized models for throughput
Distil smaller, faster models for high-volume tasks — more throughput per GPU dollar without sending data to a public API.
Proof
Already running in production.
Live traffic
Agentic operations in production for a high-volume subscription business.
Escalations + billing
Customer escalations, billing queries, and service changes handled end to end.
Dedicated workflows
Your own n8n/Flowise instance routing lookups and escalations across the systems your operation runs on.
Not your role?
See the same platform from another seat.
Bring your busiest queue.
Show us the workflow that eats the most hours. We will tell you what can be automated, what should stay human, and exactly what happens next.