Agentic AI · Autonomous Workflows · Multi-Agent Systems

AI That Plans.
Executes.
Adapts. Repeats.

Agentic AI goes beyond answering questions — it takes actions. NTS builds autonomous AI agents that perceive your operational environment, reason through complex multi-step tasks, execute actions across your systems and learn from outcomes, all without constant human supervision.

80%Routine tasks automated
24/7Autonomous operation
Multi-stepComplex task execution
Full auditEvery action logged
Agent — Maintenance Scheduler Running
Perceive Vibration on Press-03 bearing — 4.2× baseline. TTF ~48 hrs. DevsBot alert received.
Done
Reason Cross-checked maintenance history, parts inventory, engineer availability and production schedule. Optimal window: Tomorrow 06:00–08:00.
Done
Act Creating CMMS work order WO-2841 · Reserving bearing SKF-6305 from stores · Notifying engineer Rajan K. via WhatsApp...
Executing
Verify & Learn Confirm work order completion · Update equipment health model · Log outcome for future prediction improvement.
Waiting
Traditional AI

Answers Questions

Classic LLMs respond to prompts. They generate text, summarise documents and answer queries — but they stop there. A human must read the answer and take action.

Waits for instructions
Single-turn interaction
Cannot execute actions
Human must act on output
VS
Agentic AI

Takes Actions

Agentic AI perceives context, plans multi-step strategies, executes actions across tools and systems, and iterates until the goal is achieved — autonomously, 24/7.

Acts proactively on triggers
Multi-step planning & execution
Calls APIs, tools & systems
Learns from every outcome
The Agent Loop

Perceive → Reason → Act → Learn

Every NTS agent operates on a continuous four-phase loop — sensing data from your environment, reasoning through the best action, executing that action across your systems and improving with every cycle.

PERCEIVE Sense & collect REASON Plan & decide ACT Execute & trigger LEARN Improve & adapt AGENT

Perceive

Agents continuously read live data from DevsBot sensors, BMS alarms, ERP records, emails and APIs — building a real-time model of the operational environment.

IoT sensorsBMS alarmsERP/CMMSAPIs

Reason

Using LLM reasoning, agents plan the optimal multi-step response — cross-checking constraints, priorities, schedules and available resources before acting.

LLM planningConstraint checkTool selection

Act

Agents call tools, APIs and webhooks to execute — creating work orders, sending alerts, updating records, dispatching notifications or triggering automation sequences.

Work ordersNotificationsAPI callsWebhooks

Learn

Every outcome — successful action, correction or escalation — feeds back into the agent's model, improving accuracy, reducing errors and adapting to changing conditions.

Feedback loopModel updateAccuracy improvement
Agent Types

Agents We Build for Industry.

Maintenance Agent

Monitors asset health 24/7 — when predictive signals detect an impending failure, the agent independently raises a work order in your CMMS, reserves the required parts from stores, schedules the right engineer, and sends a confirmation — without any human trigger.

Sensor alert Check parts & schedule Create WO + notify Confirm & log

Energy Optimisation Agent

Continuously balances energy loads across your facility — shifting demand off-peak, managing battery charge/discharge against tariff schedules and raising alerts when consumption deviates from targets.

Demand shiftingBattery optimisationTariff management

Compliance Reporting Agent

Reads sensor logs and operational data on schedule — automatically writing, formatting and distributing compliance reports for NABH, FSSAI, ISO 50001, LEED and other standards.

Auto reportsMulti-standardScheduled delivery

Safety & Incident Agent

Monitors video analytics and sensor feeds — when a safety violation is detected, the agent escalates to the right person, logs the incident, generates a report and tracks resolution.

PPE violationsIncident logEscalation chain

Supply Chain Agent

Tracks inventory levels, supplier lead times and production schedules — autonomously raising purchase orders when stock falls below threshold and coordinating delivery timing.

PO automationStock monitoringSupplier coordination

Customer Service Agent

Handles inbound service requests from your customers — triaging issues, fetching contract details, creating tickets, escalating to engineers and sending status updates automatically.

Auto triageTicket creationStatus updates
Multi-Agent Architecture

Agents That Work Together.

Complex industrial operations need more than one agent. NTS builds orchestrated multi-agent systems where specialised agents collaborate — each focused on its domain, coordinated by an orchestrator agent that delegates, monitors and synthesises their outputs.

Orchestrator agent delegates tasks to specialist agents
Agents share context — decisions are holistic, not siloed
Parallel execution — multiple tasks simultaneously
Human-in-the-loop at defined escalation thresholds
Full audit trail for every agent decision and action
ORCHESTRATOR AI Coordinator Maintenance Agent Energy Agent Compliance Agent Safety Agent Supply Agent CMMS BMS/IoT Reports Video AI ERP/PO ↑ Human escalation threshold
Safety & Control

Autonomous. But Always Accountable.

Agentic AI raises questions about control. Every NTS agent is built with explicit guardrails — human escalation thresholds, full audit trails and confidence scoring — so you're always in control of what the AI can and cannot do.

Confidence Thresholds

Every agent action has a confidence score. Below threshold, the agent pauses and escalates to a human with a full explanation of its reasoning — never guesses.

Full Audit Trail

Every perception, reasoning step, tool call and outcome is logged with timestamps. You can replay exactly what the agent did and why, at any point in time.

Role-Based Permissions

Define exactly what each agent can and cannot do — read-only for some systems, write access for others, and explicit approval required before certain high-impact actions.

Human Override

Any agent can be paused, overridden or rolled back by an authorised user at any time. Agents operate within boundaries you set — and respect them completely.

Where Agents Work

Deployed Across Every Industry.

Manufacturing Maintenance · OEE · Quality control agents
Healthcare Compliance · Env monitoring · Incident agents
Agriculture Climate control · Irrigation · Batch tracking
Energy Yield optimisation · PR reporting · Grid balance
Facilities BMS governance · Energy · Service scheduling
Logistics Fleet dispatch · Fuel · Supply chain POs

Let Your Operations Run Themselves.

Book a free Agentic AI consultation — we'll identify your highest-value automation candidates, map the agent architecture and show you exactly what an autonomous NTS agent can achieve in your environment within 90 days.