Contracts.AI
Quicker, more accurate, super-efficient
The first of the AI solutions to be rolled out, Contracts.AI identifies leads, auto-extracts executive summaries, identifies risks & suggests mitigation methods, identifies & summarizes procurement packages, queries & documents and collaborates across teams on tender information.
“The advantages are several for Contracts.AI offers a clear understanding of the scope of tenders for all the team members, providing real-time access to tender insights and works as a great collaboration tool,” shares Azad Ali Mohamed, Head – Tendering, RBF SBG, TI IC.
Teams aver that Contracts.AI, driven by Predictive & Gen AI, is ideal for all tendering and contractual professionals having significantly reduced time spent in analysing tender documents to identify risks and other essential details. It saves approximately 250 manhours per tender enabling quicker and more accurate processing and presents an oversight of valuable opportunities, critical risks and/or essential procurement details to finetune the tendering process.
The AI Doc Hub feature has emerged as a valuable tool to quickly identify key clauses, obligations, and contractual nuances that could otherwise be overlooked during a single read, and speedily summarizes complex documents, ensuring that essential details are captured. “It is well known that Gen AI tools evolve by learning from user feedback. While most ICs have already adopted Contracts.AI in their daily workflows, we continue to work closely with businesses to enhance performance and proactively identify emerging project risks. New features will be added regularly to broaden the app’s use across the entire project lifecycle,” says Hema Chandrasekaran, DGM – L&T Cognitive Services.
Equipment.AI
A powerful decision-support system
The Equipment.AI platform foresees pre-construction planning and project execution, with the potential to positively influence P&M strategy, cost control, and fleet optimization across the project lifecycle. One of its key strengths is to incorporate special project requirements, and adjust outputs based on the project scope, schedule, quantities and known site constraints.
“These insights form a solid foundation upon which we can build further using domain experience and human cognizance,” observes S. Janakiraman, Senior DGM, Plant & Machinery, L&T. “What makes Equipment.AI truly impactful is the expert intelligence derived from analyzing performance trends across projects, empowering us to anticipate challenges, identify cost drivers, and project plan more precisely.”
Beyond planning, for projects under execution, the ‘Mobilization & Utilization’ module adds significant operational clarity, providing a real-time view of the equipment deployed, clearly breaking down the owned v/s hire mix, with intuitive color-coded utilization indicators against actual performance. This visual feedback quickly highlights underperforming assets for prompt corrective action.
”I have witnessed firsthand how AI-powered tools are reshaping my team members’ approach to cost estimation and fleet management, especially during the tendering stage,” project-specific costs, leveraging historical data from a wide spectrum of executed and ongoing projects.” The tool has been actively deployed across several major bids including CCS Buildings 6 & 7 in Delhi, MIAL Forecourt in Mumbai, and multiple hospital projects. “It has consistently demonstrated an accuracy level of 75%–80%,” praises Vishal.
The mobilization dashboard highlights equipment available for deployment, based on release plans from other projects, regardless of the IC, considerably reducing dependence on manual surplus report extraction from EIP-AMS. By listing vetted hiring partners along with contact details, the module offers ready alternatives when own assets are not feasible. Additional expert insights include transparency into asset health through past maintenance history, and vendor performance data to support informed hiring decisions. It even identifies tapering utilization trends, nudging the user to initiate timely demobilization, critical in optimizing costs and resource movement.
While the built-in chatbot is a promising feature to handle queries related to utilization, it will only improve with time and training.
Workmen.AI
To transform workforce planning, estimation, and mobilization
An intelligent, end-to-end AI-enabled solution, Workmen.AI empowers tendering, planning, execution, and IR teams with data-driven insights, precision, and agility. “Workmen.AI ushers in a new era of informed decision-making and operational excellence, reducing effort from days to mere minutes thanks to AI-driven planning and deployment,” explains Pradeep Paul Alphonse, DGM – Digital.
Tendering: Tendering.AI supports tendering teams to generate accurate workmen cost estimates aligned with project scope, productivity norms, and statutory wage structures by automatically producing a detailed, skill-wise manpower plan with deployment timelines and cost insights. With preloaded statutory data and embedded intelligence, it eliminates manual referencing and reduces labour estimation cycle time by up to 60%. The platform additionally offers a responsive chatbot and actionable insights, for faster, more consistent, and data-driven bid preparation.
Planning: Planning.AI transforms workman estimation from 3–4-man days of key resource effort to just 30 minutes by streamlining resource quantification and applying standardized estimation practices. Leveraging activity inputs, productivity metrics, and wage data, it delivers clear workforce plans with insights on cost, deployment, and timeline. A built-in chatbot provides quick access to assumptions, for transparency and agile revisions.
Mobilization: Mobilization.AI has been designed to drive efficient deployment strategies by recommending the most relevant subcontractors and associated workmen aligned with project needs. By analysing the approved workmen plan, mobilization requirements, and contractor databases, it empowers project and IR teams to make strategic, location specific workforce assignments, ensuring timely execution and reduced ramp-up delays.
Compliance: Committment to regulatory compliance through meticulous manual documentation with a well-integrated system and efforts for instant access to information and automation has led to the development of a digital assistant designed specifically to support the IR & Admin teams integrating the company’s SOPs, circulars, applicable Acts specific to the construction industry, highlighting labour laws, welfare provisions and statutory requirements.
With Workmen.AI, experienced professionals can now resolve both day to day & intricate queries, such as,
- Referring to policies and laws
- Compliance checklists
- Drafting responses to legal with appropriate clauses
- Update on minimum wages
- Reference to informative case laws for deeper understanding
- Company standards of maintaining workers accommodation & procedures for onboarding them
The tool has eliminated the need for manuals and delayed compliance, thus saving time. “For beginners and new joiners, it provides a comprehensive understanding of the entire compliance cycle of different stages of projects from mobilization to execution till demobilization,” says Unnikrishnan C N, JGM (Site Administration & IR). “Moreover, Workmen.AI is centralized, providing instant access to consistent, updated and reliable information to every IR, site, and cross-functional team.”
Tender BOQ estimation using Data Science
The WET IC EDRC team of Water & Waste Water SBG, in collaboration with the CoE – Advanced Analytics team, has developed and deployed AI/ML-powered tools to improve estimation & project management. The key initiatives include automated BOQ estimation for civil structures, and predictive analytics for pump performance that have enhanced estimation accuracy, reduced manual errors, and data-driven intelligence for faster, smarter decisions.
“By combining engineering expertise with analytics, design data is systematically organized and structural dependencies are captured. Neural network models then process this data to produce accurate and consistent BoQs for repetitive structures like ESRs and pump houses during tendering,” shares B Balaji, Head – CoE (Advanced Analytics & Data Science).
BOQ estimations have been automated for Intze & flat bottom tanks, circular & rectangular reservoirs, pumping stations, horizontal pumps, sludge & wash water sumps.
“These automations have been a game-changer during tenders especially for ESRs which comes in a few hundred numbers saving valuable time, improving the accuracy of quantity estimates, for faster, more competitive and confident decision-making during bid preparation,” says a pleased, Manogaran K, Team Lead – Civil, WWW SBG EDR.
Implemented in tenders from Jhunjhunu, Rajasthan, Chittoor, Prakasam, East Godavari, West Godavari, Guntur and Palnadu, all in Andhra Pradesh, it has resulted in 40% less time to estimate quantities of ESR, 20% improvement in overall productivity and data-based decision making.
FORMKITOHR
Formwork kitting using optimization & heuristics
FORMKITOHR provides an automated, data-driven approach to generate BOQs for formwork materials used in civil and structural construction. The algorithm-driven engine integrates geometric, material, and engineering parameters to compute precise formwork requirements for vertical and horizontal structural elements to improve estimation accuracy, reduce planning time, and enable cost-effective formwork strategy selection.
“Using a design-based approach, it designs the formwork for any structure and generates the BOQ within minutes to plan and mobilize materials in sets, precisely matching the structural elements on site,” points out Jagannath T, Senior DGM – Formwork, L&T. Developed in collaboration with formwork experts from across ICs, FORMKITOHR works like a ready-to-use kit for speed, accuracy, and efficiency in formwork planning.
Combining civil engineering design principles with data science, automation, database integration, and 3D model processing, FORMKITOHR reduces dependence on manual estimators while ensuring project-specific adaptability in formwork selection and costing, ideal for high-volume projects with evolving design needs. The results are impressive: 80%–90% time reduction in planning & BOQ estimation of formwork and ~5% impact on material cost per unit catering area.
By eliminating manual interpretation of structural drawings, consistent and precise material estimates are available in a thrice improving speed, accuracy, and reducing engineering effort.
Adding another perspective, K V D Malleswar, Head – Formwork, Transportation Infrastructure IC says, “By harnessing the design data and structural parameters, we can make more intelligent estimation decisions early in the design phase enhancing cost control and aligning resources more effectively throughout the project lifecycle.”
Expressing his confidence of the efficacy of FORMKITOHR, N Subramanian, Head – Formwork, WWW SBG, WET IC, shares, “It strengthens our primary objective of cost control measures and drives more effective resource alignment throughout the project lifecycle to make our formwork operations more robust and responsive.”
IntelliPayZ
An intelligent prescriptive payment solution for projects
An in-house developed & copyrighted algorithm and heuristics based ranking model, ‘IntelliPayZ’ is a finance-led data science initiative to facilitate automated payment to vendors and subcontractors based on payment due dates, prioritize business and balance against funding constraints.
“Using a predefined eligibility criterion, funds get allotted and utilized against specific vendor and sub-contractor invoices that are mature for settlement, eliminating manual intervention,” expands Diyya John Bhaaswanth, Manager – Data Science. “It’s modular design and feedback-driven enhancements have helped scale the solution efficiently across diverse operational models.”
“With IntelliPayZ having reached a high level of maturity, we will work with the digital team to take the platform to the next level transformation under IntelliPayZ II” and revolutionize the funding and allocation processes we have today,” says Shivshankaran S G, Head – Treasury, F&A Divisional Corporate, looking ahead.
The Corporate Centre functional team instrumental in executing the AI solutions
(from L to R) Jagannath T, Sr. DGM (Civil); B Balaji, Head – CoE (Advanced Analytics & Data Science);
Hema Chandrasekaran, DGM – L&T Cognitive Services; Janaki Raman S, Sr. DGM (P&M); and Pradeep Paul Alphonse, DGM – Digital