The AI opportunity map
Industries
Eight industries. 320 use cases. One platform, on infrastructure you own, inside your own jurisdiction.
This is an opportunity map, not a record of work delivered. It sets out 320 AI use cases across eight industries, each with the problem it addresses, the technique behind it and how far the market has taken it. Of those, 91 are Tier-1: the ones an operator in that industry is expected to have in production.
Read across the eight and the same components keep reappearing. Retrieval over an internal corpus, forecasting, optimisation, anomaly detection, document processing, agents — a refinery, a transit authority, a regulated lender and a food-led store estate would each assemble these from the same parts. That is the point of one platform behind all eight: the industry difference sits in the data, the constraints and the domain models, not in the infrastructure underneath. Neor's model is to build and operate that platform on hardware you own, inside your jurisdiction, on open components your engineers can review, and then to hand it over to them.
Eight industries, one platform
- 01
Subsurface to service station
Oil & Gas
AI runs on the signals your assets already produce: seismic volumes, rig telemetry, sensor histories, alarm logs, well files.
44 use cases · 11 Tier-1 · 9 functionsExplore - 02
Feedstock to finished polymer
Petrochemicals
AI reads the historian, the lab and the logbook, and turns them into setpoints, warnings and answers.
38 use cases · 12 Tier-1 · 9 functionsExplore - 03
Road, rail, sea and air
Transportation
AI turns what a transport network already produces — video, telematics, timetables — into decisions taken at the roadside, gate and apron.
44 use cases · 12 Tier-1 · 9 functionsExplore - 04
Dispatch to driver lifecycle
Ride-Hailing
AI decides every trip: who is matched, what it costs, how long it takes, and whether it is safe.
27 use cases · 10 Tier-1 · 9 functionsExplore - 05
Banking, payments, wealth and capital markets
Financial Services
AI scores the payment, reads the loan file, drafts the case narrative and answers the customer.
48 use cases · 12 Tier-1 · 11 functionsExplore - 06
P&C to reinsurance
Insurance
AI reads the submission, prices the risk, triages the claim and scores the fraud.
38 use cases · 10 Tier-1 · 9 functionsExplore - 07
From brief to attribution
Marketing & Content
AI now runs the content supply chain, places the media spend, and decides what each customer is shown.
34 use cases · 10 Tier-1 · 9 functionsExplore - 08
Buying desk to doorstep
Retail
AI reads the supplier contract, reconciles the invoice, routes the returned unit and answers the customer.
47 use cases · 14 Tier-1 · 13 functionsExplore
How to read it
Three tiers
Tier 1 is must-have: the technique is established, the reference patterns exist, and it is the shortest of the three routes into production. Tier 2 is expansion; Tier 3 is emerging, with a longer route to value.
Must-have
Proven, prevalent, fast ROI
High-value expansion
Validated, strong ROI, moderate effort and change management
Advanced / emerging
Commercially emerging, longer payback, strategic optionality
Build once, deploy everywhere
The solutions that repeat
Sixteen solutions recur across the seven industries scored for reuse; only the data and the constraints change. A knowledge assistant for a refinery would serve a claims department from the same parts. The reuse score is out of seven, and retail sits outside it.
- H04Enterprise Knowledge Assistant (RAG / GraphRAG)7 / 7
- H07Demand & Time-Series Forecasting7 / 7
- H08Optimization (routing, scheduling, pricing, planning)7 / 7
- H13Agentic AI Process Automation7 / 7
- H14Speech & Voice AI (contact center, field, authentication)7 / 7
- H03Intelligent Document Processing (IDP + OCR)6.5 / 7
- H05Customer Service Conversational AI + Agent Assist6 / 7
- H11Recommendation / Next Best Action6 / 7
- H06Fraud & Anomaly Detection (incl. Graph ML)5.5 / 7
- H10Digital Twins5.5 / 7
- H15Geospatial & Earth-Observation Analytics5.5 / 7
- H01Predictive Maintenance & Asset Health5 / 7
- H12Generative AI Content Production5 / 7
- H16Video Analytics for Operations (flow, occupancy, activity)4.5 / 7
- H02Computer Vision for Safety (PPE, behavior, intrusion)4 / 7
- H09Drone & Robotic Autonomous Inspection4 / 7
Reuse is scored across the seven industries of the master library — Retail was mapped onto its own capability set and is not in these scores. A strong fit counts one, a fit that needs adaptation counts a half.
Underneath
The capabilities they are built from
Twenty-two AI capabilities sit in five layers: generative and conversational, knowledge and language, predictive and analytical, perception and physical, and optimisation, simulation and automation. Retail was mapped onto its own separate capability set, so the capabilities and coverage figures describe the original seven industries only.
Generative & Conversational AI
- Generative AI (text/image/video/audio)4/7
- Conversational AI7/7
- AI Agents / Agentic AI7/7
- Speech Recognition / Voice AI6/7
Knowledge & Language
- LLMs + RAG / GraphRAG + Knowledge Graphs7/7
- NLP & Text Analytics7/7
- OCR + Intelligent Document Processing6/7
Predictive & Analytical AI
- Predictive ML & Analytics7/7
- Time-Series Forecasting7/7
- Anomaly Detection7/7
- Graph Analytics / Graph ML5/7
- Recommendation Systems6/7
- Predictive Maintenance4/7
- Decision Intelligence6/7
Perception & Physical AI
- Computer Vision & Video Analytics7/7
- Image/Video + Drones/UAV & Robotics4/7
- Robotics & Autonomous Systems4/7
- Sensor / IoT Analytics5/7
- Geospatial / Spatial Intelligence5/7
Optimization, Simulation & Automation
- Optimization (OR + ML)7/7
- Digital Twins5/7
- Process Automation (RPA + AI)5/7
The exception
Where domain depth is required
Some things do not generalise. Seismic interpretation, closed-loop process control, train control, marketplace matching, credit decisioning, catastrophe modelling and returns-disposition economics each need domain models built against the physics, regulation and data of a single industry — and still run on the same platform.
- Oil & GasSeismic interpretation and drilling optimization
- PetrochemicalsClosed-loop process control and soft sensors
- TransportationTrain control / C-DAS and ATC support
- Ride-HailingMarketplace matching and surge pricing
- Financial ServicesCredit decisioning, AML and trade surveillance
- InsuranceCatastrophe modeling, actuarial pricing and telematics UBI
- Marketing & ContentMedia mix modeling and DCO
- RetailReturns-disposition economics, category ontology and the item × store × supplier document graph
