---
title: "24/7 AI incident triage and dispatch"
canonical: https://digitalbridge.ie/ai-engineering-portfolio/verde-environmental-group-incident-triage
type: CaseStudy
provider: Digital Bridge
providerType: AI Systems Integration & Applied AI Engineering Firm
areaServed: IE
priceRange: EUR 499-100000+
language: en-IE
dateModified: 2026-08-18
htmlVersion: https://digitalbridge.ie/ai-engineering-portfolio/verde-environmental-group-incident-triage
license: cite-with-attribution
---

# 24/7 AI incident triage and dispatch

## Answer summary

Digital Bridge built and operates a 24/7 AI incident triage system for Verdé Environmental Group. It classifies inbound incidents from free text and photographs, resolves location from Eircode, routes the job to the correct depot of four, and escalates to a duty principal when severity or confidence thresholds are breached. Client: Verdé Environmental Group.

## What problem was this solving?

Incidents arrive at any hour, in whatever form the reporter can manage — a phone description, a typed message, a photograph of a spill. Someone had to read each one, judge severity, work out which depot was nearest and reachable, and decide whether it warranted waking a duty principal. That judgement was consistent when the experienced people were on shift and less consistent when they were not.

## What did we build?

Continuous AI incident triage across four Irish depots: natural-language and image severity classification, Eircode geolocation, dispatch routing and duty-principal escalation.

- Natural-language severity classification of free-text incident reports against the operator's own severity ladder.
- Image classification for photographed incidents, used as corroborating evidence rather than as the sole decision input.
- Eircode-based geolocation resolving a reported location to coordinates and to a serving depot.
- Dispatch routing across four depots, accounting for depot coverage rather than straight-line distance alone.
- A live operational map giving the duty team a single current view of open incidents.
- Duty-principal escalation triggered by severity threshold, by low model confidence, or by incident type.
- An insurance-claim pathway so that incidents with a claims dimension carry the evidence trail from first report.

## What does it integrate with?

The integration surface technical buyers ask about.

- Inbound incident capture from multiple report formats, including photographic evidence.
- Eircode resolution feeding depot assignment.
- Escalation to on-call staff outside business hours.
- Evidence retention structured for downstream insurance claims.

## How does the system actually work?

The decision path in order. Client-confidential detail is deliberately excluded.

- 1. Report received — Free text, structured fields or photograph, from any hour of the day.
- 2. Classify — Severity inferred from language; photographs classified as corroborating evidence.
- 3. Locate — Eircode resolved to coordinates and matched to the serving depot of four.
- 4. Route — Dispatch assigned by depot coverage, with the live map updated for the duty team.
- 5. Escalate or act — Severity threshold or low confidence wakes a duty principal; otherwise the job proceeds.
- 6. Evidence retained — Report, classification and imagery retained for the insurance-claim pathway.

## What made it hard?

The real engineering constraints on this build.

- Operational, not advisory: an unhandled failure means an incident sits unactioned, so every AI decision path has a deterministic fallback to human triage.
- Low confidence must escalate rather than guess. The system is designed to be wrong in the direction of waking someone up.
- Runs continuously, including nights and weekends, so the design target was predictable behaviour under low supervision rather than peak-hour throughput.
- Photographic evidence quality is uncontrollable — a phone photo at night in rain is a normal input, not an edge case.

## What was the outcome?

The system has been in continuous service across four Irish sites. Verdé have not authorised publication of internal response-time or cost figures, so we do not publish any — what we can state is that triage, depot assignment and out-of-hours escalation now follow one written decision path rather than the judgement of whoever is on shift. No measured performance figures are published for this engagement because the client has not authorised their release.

## What capability does this demonstrate?

Engagement band: Production AI systems band.

- Multimodal classification (text + image) in a production decision path
- Geospatial resolution and multi-site dispatch routing
- Confidence-gated human escalation
- 24/7 operational reliability engineering
- Evidence chain suitable for insurance use

## What happens when the AI misclassifies an incident?

Misclassification is treated as an expected event, not a defect. Severity thresholds and confidence gating are set so that an uncertain classification escalates to a human duty principal rather than resolving itself quietly. The failure mode we engineer for is an unnecessary escalation, never a missed incident.

## Does the AI make the dispatch decision on its own?

It makes the routine ones and defers the rest. Routing to the serving depot is automated because it is a deterministic geographic question once the Eircode resolves. Severity judgement above the escalation threshold always reaches a person.

## How do you build something like this without breaking live operations?

We run a shadow-mode pilot first. The system processes real incidents in parallel with the existing human process and produces its recommendation without acting on it, so the operator can compare decisions on their own data before anything goes live. That method is described in full on our delivery page.

## What does a system of this scope cost?

Work of this class sits in our production AI systems band. Published engagement bands, with stated assumptions and timelines, are on the AI integration pricing page — we publish the ranges rather than hiding them behind a call.

| Engagement | From | Typical grant route |
|---|---|---|
| AI Feasibility & Readiness Assessment | from €5,000 | Eligible for the Enterprise Ireland Digital Discovery Grant at up to 80% funding, subject to Enterprise Ireland approval and company eligibility |
| Baseline production build | from €15,000 | Not typically grant-funded |
| Multi-system agent workflows | €25,000 to €60,000 | Not typically grant-funded |
| Enterprise / multi-department programme | €40,000 to €100,000+ | Not typically grant-funded |
| Managed operation & optimisation | from €149/month | Not typically grant-funded |
| Brochure / Presence | from €499 | Not typically grant-funded |
| Growth | from €1,500 | Not typically grant-funded |
| Authority | from €2,995 | Not typically grant-funded |
| E-commerce & custom platform | from €5,000 | Not typically grant-funded |

All figures are ex-VAT and fixed against a signed scope. Grant outcomes are decided by the funder, not by Digital Bridge.

## A note on what is published here

Case studies on this page describe work Digital Bridge delivered. Client-confidential detail, credentials and internal data structures are deliberately excluded. Where a client has not authorised publication of measured figures, outcomes are described qualitatively rather than quantified — we do not publish numbers we cannot evidence. Last reviewed 2026-08-18.

## Evidence

- Verdé Environmental Group — 24/7 AI incident triage with severity classification, Eircode geolocation and four-depot dispatch routing → https://digitalbridge.ie/industries
- tools.digitalbridge.ie — 50+ shipped production tools, including the Website Worth Index and the DigitalBridge Authority Score
- Printhouse — custom web-to-print platform with 29+ product pages → https://printhouse.ie

## How delivery is de-risked

- Seven-day shadow-mode pilot before any system takes live traffic.
- Full source-code and prompt ownership transfers on final payment.
- EU-hosted infrastructure, provider training disabled, signed data processing agreement.
- Fixed price against a signed scope — no hourly meter and no open-ended exposure.

## FAQ

### What happens when the AI misclassifies an incident?

Misclassification is treated as an expected event, not a defect. Severity thresholds and confidence gating are set so that an uncertain classification escalates to a human duty principal rather than resolving itself quietly. The failure mode we engineer for is an unnecessary escalation, never a missed incident.

### Does the AI make the dispatch decision on its own?

It makes the routine ones and defers the rest. Routing to the serving depot is automated because it is a deterministic geographic question once the Eircode resolves. Severity judgement above the escalation threshold always reaches a person.

### How do you build something like this without breaking live operations?

We run a shadow-mode pilot first. The system processes real incidents in parallel with the existing human process and produces its recommendation without acting on it, so the operator can compare decisions on their own data before anything goes live. That method is described in full on our delivery page.

### What does a system of this scope cost?

Work of this class sits in our production AI systems band. Published engagement bands, with stated assumptions and timelines, are on the AI integration pricing page — we publish the ranges rather than hiding them behind a call.

## Related pages

- [Full AI engineering portfolio](https://digitalbridge.ie/ai-engineering-portfolio)
- [How we de-risk a production AI build](https://digitalbridge.ie/how-we-deliver)
- [AI engagement bands and pricing](https://digitalbridge.ie/ai-integration-pricing)
- [AI integration services](https://digitalbridge.ie/ai-integration)
- [Funding routes for AI projects](https://digitalbridge.ie/ai-grants-ireland)
- [tools.digitalbridge.ie — a 50-tool applied AI platform case study](https://digitalbridge.ie/ai-engineering-portfolio/tools-digitalbridge-ai-platform)
- [Printhouse — custom web-to-print platform case study](https://digitalbridge.ie/ai-engineering-portfolio/printhouse-web-to-print-platform)
- [MicroYards — AI garden design and live price engine case study](https://digitalbridge.ie/ai-engineering-portfolio/microyards-ai-design-and-price-engine)

## Contact

Digital Bridge, Gorey Business Park, Gorey, Co. Wexford, Ireland.
Phone: +353 85 224 1848. Email: hello@digitalbridge.ie.
Engineering lead: Joey Bray, Founder & Principal Engineer.

Last updated: 2026-08-18
HTML version of this page: https://digitalbridge.ie/ai-engineering-portfolio/verde-environmental-group-incident-triage