Digital Advisory

Driving Digital Transformation for Smarter Infrastructure

Digital innovation has become a crucial driver of project success – and infrastructure owners are increasingly expected to make faster, more defensible decisions across planning, design, delivery and operations. STV’s digital advisory practice brings together expertise in management consulting, technology integration, advanced analytics and product development to help clients and project teams plan, deliver and manage smarter.

From leveraging Building Information Modeling (BIM) and Virtual Design and Construction (VDC) to building custom data tools that improve capital planning and asset management, we help clients turn complex information into action. As AI-enabled tools increasingly support earlier and higher-impact decisions – such as integrating real-time performance analysis into early-phase planning and design – our team helps clients adopt the right digital approaches while keeping outcomes, accountability and long-term performance front and center.

We bridge strategy and execution: aligning people, processes and data to reduce rework, streamline communication and make cost, schedule and scope more predictable. The result is a practical, scalable digital foundation that supports delivery today and smarter asset performance tomorrow.

Our Capabilities in Digital Advisory

STV’s digital advisory team supports every stage of the infrastructure lifecycle with services that connect data, people and processes.

• Digital Strategy & Consulting: Define transformation roadmaps, target operating models and governance that align digital investments to measurable outcomes.
• Digital Delivery Enablement (BIM/VDC): Help teams move from 2D documentation to model-based coordination by establishing standards, workflows and governance for more predictable, efficient outcomes.
• Project Management Information Systems (PMIS): Implement and integrate project/program platforms that create a transparent “single source of truth” and support real-time decision-making.
• Data Strategy, Governance & Quality: Standardize asset classification, improve data quality and establish ownership and workflows – then support adoption through change management and shared language.
• Advanced Analytics, AI & Predictive Modeling: Apply forecasting and pattern-detection techniques to improve prioritization, risk management and long-term capital planning – especially when resources are constrained.
• Asset Management & Predictive Maintenance: Use inspection histories, sensor data and AI-driven modeling to forecast asset health, optimize maintenance timing and enable proactive reinvestment strategies.
• Digital Ecosystems, Digital Twins & Reality Capture: Create connected platforms that gather, analyze and act on real-time data, supported by tools like lidar/reality capture to improve inspections and maintain accurate digital records.
• Custom Software Solutions & Digital Products: Design proprietary tools and dashboards that improve decision-making – from capital planning and simulation to energy modeling that supports zero-emission transitions.

What Sets STV Apart

• Integrated with Project Delivery: Unlike standalone technology consultancies, STV’s Digital Advisory team is embedded within our engineering and program management operations, so solutions are grounded in real project needs and delivery realities.
• Outcome-Driven Digital Strategy: Whether enabling model-based delivery, improving capital planning or establishing data governance frameworks, our focus is measurable impact: better predictability, reduced risk and improved lifecycle performance.
• Built for Clients and Communities: We design and deploy tools that make information more transparent, accessible and actionable, supporting stronger communication with stakeholders and clearer reporting of progress.
• Open, Connected Data to Unlock AI Value: AI is only as strong as the data behind it; we help clients build open, connected data environments that reduce fragmentation and enable confident, scalable digital adoption.
• Responsible Innovation: We pair advanced analytics with professional judgment, emphasizing transparency, security and ethical use – especially when decisions affect public safety, privacy and equity.