Project Insights

AI that ships — not slides

GJEF Specials designs and delivers production AI for medium-sized and operations-heavy organisations. These are the projects, patterns, and outcomes that define how we work.

3–6 wksTypical first dashboard live
Data-firstFoundations before models
Board-readyExplainable, governed, auditable
Selected work

Projects that moved the needle

Real integrations for mid-market teams who needed clarity, not another pilot that never left the lab.

Logistics · Anomaly detection
−34%
Reduction in unexplained stock variance within 90 days of go-live
Data pipelinesAnomaly AIDashboards

Unified ops intelligence for a regional logistics provider

Fragmented ERP, spreadsheets, and depot systems made leakage invisible until month-end. We engineered a governed data layer, anomaly models on movement and cost signals, and a single operational dashboard for managers.

  • Real-time flags on unusual route and inventory patterns
  • Finance and ops sharing one source of truth
  • Audit-friendly trails for every automated alert
Retail · Forecasting
+18%
Improvement in forecast accuracy for high-velocity SKUs
Demand modelsPOS integrationPlanning

Demand intelligence for a multi-site retail group

Manual planning and lagging reports left stockouts and overstock as constant trade-offs. We connected POS and warehouse data, built SKU-level predictive models, and embedded recommendations into weekly planning workflows.

  • Automated weekly demand signals by site and category
  • Reduced emergency transfers between locations
  • Clear ownership of model confidence and overrides
Finance · Control
48 hrs
Data Health Audit to first board-ready findings pack
Data Health AuditComplianceGovernance

Financial control layer for a regulated mid-market firm

Leadership needed confidence that numbers feeding AI and reporting were trustworthy. Our 48-hour Data Health Audit mapped pipelines, exposed structural gaps, and prioritised fixes before any model was expanded.

  • Prioritised remediation roadmap with risk scores
  • Role-based access and audit logging designed in
  • Clear path from “messy data” to AI-ready foundations
How we deliver

A disciplined path from problem to production

We favour depth over theatre — the same backbone that powers NexusAI™ and Agent Pilot Rescue.

01

Diagnose

Map data flows, systems, and decision points. Identify what blocks reliable AI — quality, access, ownership, or design.

02

Engineer

Build pipelines, rules, and validation so models see consistent, business-aligned data every day — not one-off extracts.

03

Instrument

Dashboards and alerts that show why something changed, not only that it did — with confidence and lineage.

04

Govern & scale

Controls, access, and documentation that survive board review and grow with volume without constant rebuilds.

Want outcomes like these in your organisation?

Talk to us about a Data Health Audit, a focused pilot rescue, or a full NexusAI™ path to production.

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