Agentic AI-based systems and methods for context-aware building construction and maintenance management

1 . A method for intelligent planning and management of building construction or maintenance projects using Agentic artificial intelligence (AI), the method comprising the steps of:

a. Receiving a design plan comprising a spatial layout and a plurality of building elements, by a controller operating an AI agent configured to execute decision-making, coordination, monitoring, and communications across a network of intelligent sub-agents;

b. converting, by the controller, the received design plan into a dynamic interactive model comprising one or more interactive components, wherein each interactive component corresponds to a respective building element;

c. receiving, by the controller, contextual data from one or more sources, the one or more sources comprising at least one of: a building management system (BMS), IoT devices, location data of one or more users including a first user, weather data, material-vendor listings, and scheduling or calendar information;

d. initiating, by the controller, the AI agent to analyze the design plan in conjunction with the contextual data to perform one or more actions;

e. generating and displaying, by the controller, an interactive user interface on a first user device associated with the first user, the interactive user interface comprising a visual representation of the dynamic interactive model;

f. receiving, by the controller, one or more user interactions from the first user using the first user device, the one or more user interactions comprising verbal input, textual input, and gestural input;

g. interpreting, by the controller, the one or more user interactions using natural language processing and correlation of multi-modal inputs to disambiguate user intent; and

h. initiating, by the AI agent, the one or more actions based on at least one of: the contextual data, and the interpreted user intent, the one or more actions comprising at least one of: initiating material procurement, hiring resources, scheduling personnel, updating the design plan, controlling on-site devices, and issuing task-specific instructions or inquiries to the one or more users associated with a building project being managed by the first user, wherein the AI agent is configured as a master agent to autonomously resolve conflicts between functional requirements associated with the building project by communicating directly with one or more AI sub-agents associated with the one or more users managing different roles, and update priorities.

2 . The method of claim 1 , wherein the plurality of building elements comprise at least one of: walls, doors, windows, ceilings, floors, staircases, elevators, light fixtures, HVAC components, plumbing fixtures, electrical panels, fire safety devices, surveillance cameras, and structural support members and wherein the dynamic interactive model supports real-time, multi-user collaboration with role-specific access and action permissions.

3 . The method of claim 2 , wherein the one or more interactive components of the dynamic interactive model include user-selectable graphical objects corresponding to the plurality of building elements.

4 . The method of claim 1 , wherein the AI agent is-functions as the master agent and is configured to communicate with the one or more AI sub-agents each operating on different stakeholder devices of the one or more users associated with different stakeholder roles.

5 . The method of claim 4 , wherein the one or more AI sub-agents are configured to manage domain-specific actions and communicate directly with one another or with the master agent to avoid schedule conflicts.

6 . The method of claim 5 , wherein the one or more AI sub-agents are configured to communicate with each other autonomously without involving human stakeholders, and wherein the communication comprises conflict-resolution parameters.

7 . The method of claim 6 , wherein the one or more AI sub-agents comprise a first AI sub-agent associated with an electrician and a second AI sub-agent associated with a plumber.

8 . The method of claim 1 , wherein the contextual data includes geolocation data of the first user and one or more second users involved in the building project.

9 . The method of claim 8 , wherein the AI agent determines that the geolocation data of the first user corresponds to a procurement opportunity near a supplier location and prompts the first user accordingly.

10 . The method of claim 1 , wherein the one or more user interactions comprise a combination of simultaneous gestures and voice commands, and the AI agent uses correlation logic to interpret an intended action.

11 . The method of claim 1 , wherein the AI agent autonomously generates an order.

12 . The method of claim 1 , wherein the contextual data includes sensor feeds from cameras, temperature sensors, leakage detectors, and structural stress sensors deployed on-site.

13 . The method of claim 1 , wherein the AI agent is configured to detect conflicts in work assignments across different labor teams and initiate conflict resolution communications.

14 . The method of claim 1 , wherein the interactive user interface includes a real-time simulation or walkthrough view of a building project with a virtualized agent that guides the first user through the walkthrough view.

15 . The method of claim 14 , wherein the AI agent inserts a virtualized agent into the real-time simulation to guide the first user through the walkthrough view.

16 . The method of claim 1 , wherein the one or more actions initiated by the AI agent include launching a drone for site inspection, wherein the drone comprises one or more cameras for capturing real-time video feeds for analysis by the AI agent.

17 . The method of claim 1 , wherein the AI agent prioritizes tasks based on urgency and dependencies detected in the contextual data.

18 . The method of claim 1 , wherein the AI agent initiates procurement of materials based on pricing and availability data retrieved from one or more vendor databases.

19 . The method of claim 1 , wherein the AI agent actively listens for commands when invoked by the first user and passively listens to ambient conversation of the first user for environmental cues to offer contextual suggestions.

20 . The method of claim 1 , wherein a verbal input comprises a vague phrase and the AI agent resolves ambiguity using correlated gesture or contextual reference.