The AI opportunity map
Industries
Seven industries. 273 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 273 AI use cases across seven industries, each with the problem it addresses, the technique behind it and how far the market has taken it. Of those, 77 are Tier-1: the ones an operator in that industry is expected to have in production.
Read across the seven and the same components keep reappearing. Retrieval over an internal corpus, forecasting, optimisation, anomaly detection, document processing, agents — a refinery, a transit authority and a regulated lender would each assemble these from the same parts. That is the point of one platform behind all seven: the industry difference sits in the data, the constraints and the domain models, not in the infrastructure underneath. Neor builds and operates that platform on hardware you own, inside your jurisdiction, on open components your engineers can review, and then hands it to them.
Seven 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
How to read it
Three tiers
Tier 1 is must-have: mature in the market, widely adopted across the industry, and the shortest route into production. Tier 2 is expansion the market has already validated; Tier 3 is emerging, with a longer time 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, with only the data and the constraints changing. Design a knowledge assistant for a refinery and the same components would serve a claims department; the reuse score records how far each one travels.
- 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: a strong fit counts one, a fit that needs adaptation counts a half.
Underneath
The capabilities they are built from
The 273 use cases draw on 22 AI capabilities, grouped in five layers: generative and conversational, knowledge and language, predictive and analytical, perception and physical, and optimisation, simulation and automation. A platform that carries all five carries the whole map.
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 and catastrophe modelling 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
