Every ticket.The right expert.On the clock.

TriageIQ is the orchestration layer between your inbound channels and your support org. It reads every incoming ticket, classifies it against your taxonomy, scores it against your live skill-and-load matrix, and routes it to the right N1, N2 or N3 expert with an SLA clock already running. Built for VP Support and CIOs in regulated environments.

median ticket-to-assignee
<30s
first-touch routing accuracy
92%
P1/P2 SLA breaches
-68%
audit-traceable decisions
100%

Orders of magnitude the installation aims for; they are measured on your premises during the audit, on your volumes.

TriageIQ, Offer illustration
TriageIQ. Back-office AI for regulated support orgs
00The control tower

Every ticket classified, assigned and timed before a person opens it.

TriageIQ reads the ticket, classifies it on twelve axes, finds the right on-call person and starts the SLA clock. Here is a fictional incident, minute by minute.

P1CriticalSLA 15 min
3 open tickets, 0 breach
P2HighSLA 1 h
11 open tickets, 1 pre-alert
P3StandardSLA 4 h
27 open tickets, on time
02:47:00CustomerTicket 98421 flagged urgent: payments degraded
02:47:08TriageIQClassified P1, Payments service, regulated scope, confidence 0.94
02:47:09DirectoryRequired skill: L3 payments. On-call engineer found, load 41%
02:47:10SLAClock started, breach at 03:02:10, pre-alert at 02:52:10
02:47:11On-callNotified: SMS, app push, team message
02:48:42EngineerAcknowledged, diagnosis in progress
02:58:14EngineerRoot cause found, fix deployed
03:00:01SLATicket resolved in 12 min 53 s, breach avoided
The twelve classification axes
Priority
P1
Impact
Élevé
Service
Paiements
Regulatory
Oui
Customer tier
Entreprise
Language
FR
Tone
Tendu
Cause family
Infra
Expertise
N3
Billable
Oui
SLA pressure
0,87
Recurrence
3 en 30 j

Fictional scenario, illustrative values

01What the agent does

Fully automated, nothing to manage.

01

12-axis classification taxonomy

Every ticket is scored on 12+ axes: urgency, business impact, affected service, regulatory exposure, customer tier, language, sentiment, root-cause family, expertise level, billable contract, SLA clock pressure, recurrence. Structured JSON verdict your ITSM can act on, no free-text guesswork.

02

Skill & load matrix routing

A FastAPI engine cross-references classification against your live agent matrix: certifications (ITIL, AWS, PCI-DSS), domain expertise, current workload, on-call shift, language. Tickets land on the right N1/N2/N3 the first time, zero ping-pong escalations.

03

SLA clock & breach prevention

Each routed ticket triggers a live SLA timer with pre-breach alerts at 50%, 75% and 90% of contractual deadline. Auto-escalation paths, manager notifications and audit logs are generated, single source of truth for compliance and exec dashboards.

02How it works

Live in days, not months.

  1. 01

    Week 1-2, Taxonomy & matrix

    Audit your service catalog, model the 12+ axis taxonomy, extract the agent matrix (certifications, loads, on-call) from your ITSM.

  2. 02

    Week 3-4, Wiring & shadow

    ServiceNow / Jira SM / Zendesk / GLPI webhook connector, SLA engine deployed, parallel-run shadow mode (TriageIQ proposes, human dispatcher validates).

  3. 03

    Week 5-6, Cutover & live audit

    Auto-routing on high-confidence classifications, append-only audit log in production, SOC2 / ISO 27001 / DORA dashboards delivered to your CISO.

03Under the hood

The pipeline behind this offer.

Support & Voice, Triage & EscalationVoice + text, 100% self-hosted open-source, no data leaves, 6 stages
Channels
WhatsAppGmailSlackTéléphone (SIP)
SIP / Webhook
Voice agent, SIP
TwilioRingoverAsteriskDétection de voixTranscriptionSynthèse vocale
VAD → STT → TTS
Understanding
FastAPILLM localTraduction
Hybrid search
KB search
Vector
Embeddingspgvector
Graph
Apache AGE
Reranking
Reranker
Context + SLA
Decision & SLA
FastAPIPostgreSQLRedis
Routing
Response
Auto-resolve
VoixGmailWhatsApp
Human escalation
Slack
04Tools we operate

We plug the agent into the tools you already use.

  • ServiceNow
  • Jira
  • Zendesk
  • Salesforce
  • PagerDuty
  • n8n

Nothing to learn: we configure and operate these connections for you.

02:47 on a Saturday

A payment-rail incident lands. And your whole weekend burns.

What it costs you today

It's 02:47 on a Saturday. A payment-rail incident lands in your shared inbox, tagged 'urgent' by a customer who doesn't know the difference between a degraded API and a full outage. Your N1 on shift opens it, hesitates, escalates to the wrong N2 squad, who escalate again at 03:12. By 04:00 the SLA is breached, the regulator gets notified Monday, and your VP Support is writing the post-mortem on Sunday. TriageIQ would have read the payload, classified it as P1-Payments-Regulated, paged the on-call PCI-certified N3, and started the SLA clock at 02:47:08, before the customer hit refresh.

The facts

Enterprise support orgs handling 500-10000 tickets/day lose an average of 23% of agent capacity to mis-routing and re-assignment loops (HDI 2025). The average P1 incident touches 4.2 agents before reaching the resolver; each handoff adds 18 minutes of clock-time and a 14% probability of SLA breach. In regulated sectors, fintech, insurance, telecom, a single breached P1 SLA can trigger contractual penalties of 50k-500k EUR plus mandatory regulator disclosure. Mean-time-to-assign (MTTA), not mean-time-to-resolve, is now the leading indicator of ITSM maturity in Gartner's 2025 ITSM Magic Quadrant criteria.

Why us

Wikolabs installs AI systems built on open-source models, on your premises, paid once. No black box: your data, your prompts and your history stay in your infrastructure. We quote at a fixed price or on time and materials, never per ticket or per token, and we say before you sign what works and what does not yet.

What we put in place

TriageIQ plugs into your existing ITSM stack (ServiceNow, Jira Service Management, Zendesk, Freshservice, GLPI) via webhook or polling connector. Inbound tickets are normalized in n8n, classified against your custom taxonomy, scored against the live skill-and-load matrix in FastAPI, and pushed back to your ITSM with assignee, priority, SLA clock and routing rationale. Every decision is logged with model version, prompt hash and confidence score, ready for your SOC2, ISO 27001, or DORA audit. Go-live in 4-6 weeks with parallel-run shadow before cutover.

Support & Customer Service

Every ticket at the right priority level, automatically

In an unsorted helpdesk, urgent tickets drown in mundane requests. A critical bug gets the same priority as a billing question. The Triage & Escalation Agent classifies every incoming ticket by urgency, category and sentiment, automatically answers frequent questions and routes complex cases to the right human agent with an LLM summary.

The problem

Without automatic triage, human agents read all tickets in order of arrival. Urgent cases wait. Basic questions mobilize experts. And the cost per ticket stays too high to scale support.

Our answer

Each incoming ticket (email, Zendesk, Intercom, Freshdesk) is analyzed by LLM: urgency (P1–P4), category (billing, bug, onboarding, etc.), sentiment and estimated complexity. The agent immediately answers common P3/P4 tickets, escalates P1/P2 to the most available human agent with a contextual summary.

How we deploy

  1. 01
    Helpdesk connection

    Integration with Zendesk, Freshdesk, Intercom, Linear or any ticketing tool via API. Incoming webhook setup.

  2. 02
    Triage rules definition

    Workshop to define your categories, priority levels and routing rules by team or agent.

  3. 03
    Auto-response library

    Import your standard responses for frequent questions. The agent personalizes them per ticket before sending.

  4. 04
    Dashboard & SLA monitoring

    Real-time view of SLAs, queued tickets by priority and automatic vs. human resolution rate.

Concrete benefits

P1 SLA met 99% of the time

Critical incidents are detected and escalated in under 2 minutes, regardless of when they arrive.

50% of tickets handled without an agent

Frequent questions (password reset, order status, FAQ) are resolved automatically.

More effective agents

Each agent only handles tickets matching their specialty, with a contextualized summary. Less reading, more resolving.

Frequently asked questions

Which helpdesks are supported?
Zendesk, Freshdesk, Intercom, HubSpot Service Hub, Linear, Jira Service Desk and any tool with a webhook or REST API.
Can the agent escalate to different teams?
Yes. You define routing rules by category: bugs → tech team, billing → finance team, etc.
How do you prevent incorrect automatic responses?
A minimum confidence threshold is set. Below it, the agent drafts a response for human review rather than sending directly.
Does triage work in multiple languages?
Yes. The agent classifies and responds in the ticket's language. Multilingual routing is natively supported.

Take back control of your queue

4-6 weeks to cutover. Parallel-run shadow mandatory. SOC2 / ISO 27001 / DORA audit log delivered.