Industries - Construction
AI Transformation for a Smarter, Safer Construction Industry
Construction success requires more than new tools. SENEN aligns next-gen strategy, AI powered data systems, and teams to deliver measurable impact across projects and portfolios.
The trusted Data & AI partner for the world’s leading enterprises and innovators.
Industries: Construction
Explore how we help industry giants, visionary governments, and fast-scaling disruptors unlock real value from their data.
We partner with Fortune 500 companies and global industry leaders to turn data and AI into strategic levers for growth. From analytics infrastructure to cultural transformation, our work spans sectors, driving smarter decisions, sharper execution, and lasting impact across every level of the enterprise.
Data & AI in Construction
The current state of Big Data and AI in the Construction Industry
44%
of contractors plan to increase AI investment in 2025
36%
of leaders see AI driving value in schedule processing and monitoring
-6%
loss in profit margins due to inneficiencies from poor data reporting
80%
of executives claim connected historical data is crucial to project success
What’s Holding Construction Back
High potential, blocked by outdated tools and disconnected workflows.
Construction is under pressure to deliver projects faster, safer, and more sustainably. Yet productivity gains remain limited compared to other industries. Many enterprises still rely on legacy ERP and project management tools that create silos, while critical data is scattered across contractors, suppliers, and job sites.
The result is reactive planning, frequent cost overruns, and limited visibility into risks and resources. At the same time, leaders must address growing safety, compliance, and sustainability demands while managing labor shortages and workforce disruption.
Without a clear strategy and integrated systems, digital and AI initiatives struggle to scale, leaving transformation efforts fragmented and short-lived.
The SENEN Approach to Construction Transformation
Construction transformation requires more than new tools. It demands a clear strategy, modernized systems, embedded execution, and a workforce ready to adapt. SENEN’s advisory-led framework addresses these needs across the full lifecycle, helping construction leaders build organizations where data and AI create measurable, lasting impact.
Our model Strategize, Operationalize, Revolutionize aligns business priorities with systems and people, ensuring transformation delivers across projects, portfolios, and regions.
From predictive planning to decision intelligence, SENEN’s model ensures technology adoption aligns with business priorities and operational realities.
SENEN Construction Approach Framework
Strategize
We identify where data and AI can create measurable impact across the construction lifecycle. Strategy work is grounded in business priorities and project realities, ensuring that investments improve delivery, reduce risk, and strengthen resilience.
Focus Areas
- Enterprise data and AI strategy for construction
- Predictive scheduling and cost forecasting strategies
- Data governance advisory for construction operations
SENEN Construction Approach Framework
Operationalize
We build the secure, unified data foundation needed for scalable transformation. This involves modernizing legacy systems, integrating BIM and ERP platforms, and consolidating IoT and project data into a reliable environment that enables AI and advanced analytics.
Focus Areas
- ERP, BIM, and project system integration
- IoT and site sensor data capture and standardization
- Cloud migration and secure data warehousing
- AI readiness assessments and architecture design
- MLOps and analytics engineering for scalable deployment
SENEN Construction Approach Framework
Revolutionize
We embed AI and automation into the core of construction operations, moving from reactive processes to proactive, data-driven decision-making. At the same time, we enable leaders, managers, and crews with the skills to adopt and sustain change.
Focus Areas
- Predictive maintenance and automated scheduling
- Site safety analytics and compliance dashboards
- Supply chain optimization across contractors and suppliers
- ESG intelligence and sustainability reporting
- Workforce enablement and change management for digital adoption
Strategic Solutions for Construction
Predictive Scheduling and Project Controls
Use AI and analytics to forecast delays, identify resource conflicts, and improve schedule reliability across complex projects.
BIM Data Integration
and Digital Twins
Connect BIM data with cost, schedule, and procurement systems. Enable digital twins to track progress, reduce clashes, and improve handover.
IoT and
Site Monitoring
Leverage sensor data from equipment, materials, and site conditions for real-time visibility, utilization insights, and predictive maintenance.
Supply Chain and Procurement Optimization
Apply analytics to supplier performance, logistics planning, and material pricing. Strengthen procurement resilience across global supply chains.
Cost Estimation and Change Order Analytics
Enhance estimating accuracy with historical data and risk modeling. Track change orders and RFIs to protect margin and reduce claims.
Quality and Defect Management
Use computer vision and field analytics to spot defects early, reduce rework, and streamline quality assurance processes.
Safety and Compliance Analytics
Monitor leading indicators to reduce incidents. Integrate site observations and near-miss data into actionable safety dashboards.
Data Strategy and Governance for Projects
Establish governance frameworks to unify ERP, BIM, and field data systems. Improve reporting accuracy and interoperability across projects.
Platform-Agnostic,
Across the board
Technology should enable strategy, not constrain it. SENEN’s platform-agnostic model allows full flexibility across your tech stack.
Explore More by Sector
We help retailers modernize supply chains, unify customer data, and deploy AI across forecasting, personalization, and operations. Enabling smarter merchandising, improved margins, and stronger customer loyalty.
We partner with CPG enterprises to connect data across production, distribution, and consumer channels. Our solutions in demand forecasting, personalization, and ESG reporting drive efficiency, resilience, and market growth at scale.
We help construction enterprises integrate legacy systems, connect site data, and deploy AI for predictive scheduling, cost control, safety analytics, and ESG compliance. Turning project complexity into strategic advantage.
We partner with energy leaders to modernize infrastructure, integrate operational and environmental data, and operationalize AI for grid reliability, predictive maintenance, ESG reporting, and workforce enablement.
We work with industrial manufacturers to embed data and AI into production, quality, and supply chain operations. Improving output, reducing downtime, and enabling smart factory systems that scale.
AI integration for ambitious scale-ups, Policy leaders and sectors looking to operationalize efficiency, speed up decisions, and maintain culture.
FAQs
Why is data governance important for construction companies?
One of the core pillars of data governance is the focus on data quality. With a tremendous amount of data flowing in from legacy systems, IoT & sensor data, project and contract information & operations details, data is usually siloed with low accuracy. Data governance is critical for improving enterprise-wide data quality for decision-making, making the data accessible for reporting & analytics & helping construction companies innovate for the long-term.
What are some use cases for AI in the construction industry?
The construction industry is primed for AI. Use cases continue to evolve and grow. Some that are being adopted worldwide include predicting project delays and risks based on historical data, analyzing contracts to identify high-risk clauses and improving estimating through predictive cost benchmarking & dynamic material pricing.
How can Agentic AI be applied in the construction industry?
Agentic AI has various use cases in the construction industry. An example is to partly automate and improve procurement and inventory management workflows. If a project is moving faster than expected, AI agents can automatically check supplier stock, find the best price or preferred vendor and order required materials to arrive on time to mitigate project delays.
