AI Decision Support for Water and Wastewater Network Management
Delta is an AI assistant built on top of your water or wastewater network. It translates the structural knowledge locked inside that model (topology, flow estimates, risk scores and telemetry) into direct, conversational answers.
Ask about a pressure zone, a failing asset, a catchment with elevated infiltration, or the consequence of a planned intervention. Delta returns a reasoned answer grounded in your actual network data, not generic hydraulic knowledge.
No calibrated hydraulic model required. Delta delivers flow estimates and fault context using graph algorithms across pipe topology, removing the single biggest barrier to AI adoption in water utilities.
"The LLM is the reasoning layer. The network model is the knowledge base. Neither is sufficient without the other."
Telemetry, Risk Scores, and Graph Based Hydraulics: Built on Data You Already Hold
Answers are composed from data layers that PipeFusion already holds, so no new data collection is required. The reasoning layer sits on top of existing water utility asset management models.
Data prerequisites. PipeFusion network wide data preparation is the supported starting point. The minimum inputs are the network structure as GIS data or a graph based hydraulic model, SCADA telemetry for operational questions, and rehabilitation cost data for cost ranked results.
Risk Analysis, Rehabilitation Prioritisation, and Inflow & Infiltration Analysis
Delta's scope is deliberately bounded to areas where InfoTiles data provides genuine depth. Capabilities outside this scope are not surfaced.
Query risk scores, explain the drivers behind a specific segment's ranking, and compare candidate assets for intervention sequencing.
Generate cost ranked intervention lists from risk data and rehabilitation method costs, with transparent methodology.
Surface hydraulic context around an active alarm, including upstream topology, adjacent risk scores and recent telemetry, without manual correlation.
Combine SewerIntelligence I&I telemetry with PipeFusion risk scores to prioritise CCTV inspection plans, structured and ranked.
Measurable outcomes. Success is measured against a baseline taken before deployment: engineering time per analysis, quality of prioritisation, reduction in I&I, and consistency of decisions.
Decision Support in Action: I&I Inspection Prioritisation Using Live Network Data
The example below is an actual prompt run against a utility network. Delta combines SewerIntelligence I&I telemetry with PipeFusion risk scores to generate a prioritised CCTV inspection plan that is structured, ranked and ready to act on.
What Water and Wastewater Utility Teams Say
"We went through the solution with our IT department, and they were impressed by how InfoTiles handled data security. Everything runs within Microsoft, no data leaves the system, and nothing is used for model training."
"The AI assistant does the same calculations that would take me two days and digging around in the database to find."
"If you are wondering about something, you can actually ask follow up questions."
"It will find the same thing I find, just much faster."
How Delta Works: Retrieval Augmented Generation on Your Network Model
Delta uses a retrieval augmented generation (RAG) approach. At query time, relevant segments from the network model, risk scores, and reference documentation are retrieved and injected into the LLM context. The model does not retain state between sessions and is not fine tuned on customer data.
Infrastructure: Microsoft Azure AI Foundry, EU hosted, stateless inference, no training on customer data. The LLM is replaceable; the retrieval and context construction pipeline is where the domain specificity lives.
A person approves every output. Delta cannot make decisions autonomously. All outputs require review and approval by a person, and Delta supports decisions without taking them.
Delta Compared with ChatGPT and Copilot
ChatGPT and Microsoft Copilot are general assistants designed for text, documents and everyday office work. Delta is a decision support assistant designed for decisions about the network itself. PipeFusion represents your network as a graph neural network, so Delta can reason about pipes, flows and connections rather than words alone, and every answer is rooted in your own operational data.
Many utilities will use a general assistant for office productivity and Delta for decisions about the network. The two complement each other.
EU Hosted, Designed for NIS2, and Built for Critical Infrastructure Procurement
Delta is Norwegian built and operated. For utilities managing critical infrastructure, this matters structurally.
Runs on Microsoft Azure AI Foundry within EU/EEA regions, under standard EU/EEA data processing agreements.
Each session is independent. Nothing persists beyond the session boundary. No customer data is used for model training.
Delta is designed to align with NIS2 obligations and Norwegian security principles for cloud services. Compliance documentation can be reviewed as part of a procurement process.
Access is governed through Microsoft Entra ID with role based access control, multi factor authentication and audit controls. External guest access is supported, for example for consultants working with a utility.
Queries and responses are logged to support auditability and compliance, and the audit logs can be reviewed by the customer.
Pricing with a Cost Ceiling, Operational within Weeks
Delta runs on an existing InfoTiles deployment and is priced so that the customer stays in control of cost.
Billing on tokens used, or at a fixed monthly rate. Under the fixed rate, Delta is switched off for the rest of the month if the cost reaches that rate, so the monthly cost cannot exceed it.
An existing InfoTiles deployment and outbound HTTPS connectivity are all that is needed. No new infrastructure and no new sensors.
Delta is typically operational within weeks once integration is complete.
Onboarding focuses on the data and on interpreting outputs. Users work in natural language, so there is no new tool syntax to learn.
Customer references and case studies are available on request.
Why Delta: The Symbol of Change in Water Networks
Δ is the mathematical symbol for change: the measured difference between one state and the next. In water networks, that difference is the signal: a pressure anomaly, a flow deviation, a demand shift. Delta surfaces it in plain language, in seconds.
The name carries additional resonance. In hydrology, a delta is where flows converge and are understood, where a network meets the wider world. And like the Norse varder, the stone cairns built on high ground so those who follow always know where they stand, Delta assembles accumulated knowledge and passes it forward.
Delta Is Live with Norwegian Water Utilities
Delta is now in production with Norwegian water utilities as the first wave. Expansion to further markets is underway.
See Delta running against your network data.
