AI-POWERED BUILDING MAINTENANCE & OPERATIONS PLATFORM

Buildings That Think.
Operations That Scale.

Every facility bleeds money through undetected anomalies, vendor overcharges, reactive breakdowns, and manual reporting that nobody reads on time. SFL stops the bleed. One platform that connects every meter, sensor, asset, and technician — then layers 7 autonomous AI agents on top to detect, investigate, fix, and report. Automatically. Your OPEX drops. Your assets last longer. Your team finally manages — instead of firefights.

20–40%
Reduction in
unplanned downtime
10–18%
Improvement in
asset lifespan
10–20%
OPEX savings
through automation
15–25%
Reduction in
energy & water usage
8–12%
Manpower savings
via verified attendance
⚡ FINANCIAL IMPACT — VIA AI CO-PILOT
8–15%
Reduction in total
maintenance cost per site
10–20%
Higher client
retention rate
3–5×
Faster new site
onboarding
15–25%
More revenue per
operations head
PUMP-01 · 48 Hz ↑
PANEL-B · 412 kW
DG-02 · STANDBY
SFL Operations Dashboard LIVE
Energy (kWh)
2,847
↓ 12% vs last week
Water (KL)
184
↓ 8% conserved
Open WOs
6
3 auto-resolved
Power Trend (7d)
Water Usage (7d)
AquaEdge: Bore-3 yield dropped 40% — auto-switched to Bore-1 (₹4.80/KL) — 2.6 tankers avoided today
Prestige Lakeside in critical state — 18 open WOs, 4 missed checklists — escalation raised
Energy: Off-peak DG usage detected at Salarpuria — ₹8,400/month savings opportunity flagged
AI PILOT — LIVE 7 AGENTS ACTIVE
CEO: "Why is Prestige Lakeside underperforming?"
Health score dropped to 58.1 — 18 open WOs
4 missed checklists · 2 SLA breaches · DG anomaly
Escalation raised → ✓ Review scheduled Thu 10 AM
The AI Pilot — Multi-Agent Intelligence

Seven Specialist Agents.
One Autonomous Brain.

Every other FM platform gives you dashboards and hopes you notice. SFL deploys persistent AI agents — each a domain expert with its own tools, memory, and authority to act. They monitor, reason, execute, and report. 24/7. Across every site in your portfolio.

SENTINEL
Anomaly Watchdog
Scans every metric across every site, every 5 minutes. Catches energy spikes, water leaks, DG anomalies, and manpower gaps before they become crises.
COMMAND
Operations Controller
Auto-raises work orders, assigns the right technician, tracks SLA timers, and escalates unresolved issues. The ops manager that never sleeps.
ANALYST
Root Cause Intelligence
Deep-dives into trends using 51 domain tools — fuel analysis, consumption baselines, vendor cost comparisons. Finds the "why" behind every anomaly.
FIELD
Ground-Level Ops
Manages technician dispatch, task sequencing, location tracking, and real-time mobile updates from the field to the control room.
OVERSEER
Report Orchestrator
Compiles daily, weekly, and monthly reports — site health, energy, water, compliance — and auto-delivers via Email and WhatsApp at scheduled times.
GUARDIAN
Compliance & Safety
Monitors fire safety, CCTV audit status, statutory certifications, AMC renewals, and access control — flags lapses before auditors do.
EXECUTIVE
Strategic Advisor
Portfolio-wide insights — budget forecasting, vendor benchmarking, capex recommendations, and board-ready operational intelligence.
AI PILOT
Natural Language Interface
Ask anything in plain English — "Why is DG cost up this week?" — and the Pilot routes to the right agent, invokes the right tools, and returns the answer. Not a dashboard. An answer.
💬 AI PILOT — NATURAL LANGUAGE OPERATIONS
LIVE
CEO
"Which of my sites are good, bad, or critical right now?"
AI
Routing to SENTINEL + EXECUTIVE agents. Scanning portfolio health across 12 sites...
SENTINEL EXECUTIVE site_health_scores complaint_summary sla_compliance attendance_check
AI
Portfolio Health — 12 Sites
SiteHealthSLAWOsStatus
Brigade Gateway94.299.1%2● Healthy
Puravankara Zenith91.798.4%3● Healthy
Radisson Blu89.397.8%4● Healthy
Salarpuria Sattva72.488.2%11⚠ Needs Attention
Prestige Lakeside58.176.5%18🔴 Critical
+7 more sitesavg 87.696.1%28All healthy
Summary: 10 of 12 sites are healthy. Salarpuria Sattva has 11 open WOs, 3 SLA breaches, and 2 technician absences — triggering the drop to 72.4. Prestige Lakeside is critical at 58.1 — 18 open WOs, DG runtime anomaly, and 4 missed checklists this week.

Recommended actions:
→ Escalation task auto-created for Prestige Lakeside — assigned to Cluster Head
→ Management review scheduled for both flagged sites — Thursday 10 AM
→ Alert sent to Salarpuria site manager re: missed checklists
COMMAND create_escalation schedule_review notify_whatsapp notify_email
What Leadership Can Ask, Understand & Action

The AI Pilot isn't just for site teams. It gives CXOs, Ops Heads, and Cluster Managers instant portfolio intelligence — no dashboards to navigate, no reports to wait for. Just ask.

📡 ASK — INSTANT PORTFOLIO VISIBILITY
Portfolio health — which sites are good, bad, or critical? Open complaints across all sites by priority Attendance summary across all sites today Which sites missed checklists today? SLA compliance rate across all sites Top 5 and worst 5 performing sites this month
🧠 EXPLAIN — ROOT CAUSE & DIAGNOSTICS
Why is site X underperforming this week? What is driving complaints at the worst site? Why did attendance drop at site X? What are the top compliance risks across sites? Which sites have highest attrition & what's the impact?
⚡ ACT — SAFE MANAGEMENT ACTIONS
Create escalation task for worst-performing site Flag all SLA-breached complaints for review Schedule management review for underperforming sites Send alert to site managers with missed checklists Generate weekly ops review summary for leadership Raise audit non-compliance task for missed visits
The AI Difference

What Changes When AI
Runs Your Facility?

Every facility has the same problems. Only one platform solves them before you even notice. Here's what SFL's AI does that no human team — or legacy software — can match.

Client Escalations Hit Before You Know

Without AI: Client calls with complaint. You scramble for data.
Site issues — missed checklists, SLA breaches, pending WOs — pile up silently. By the time leadership hears about it, the client is already frustrated.
With SFL AI: Risk sites flagged daily. You act first.
SENTINEL monitors complaint velocity, SLA health, and checklist gaps across all sites. Flags at-risk sites before the client notices. Escalation tasks auto-created.
Earlyvisibility before high risk

Cluster Heads Buried in Manual Reporting

Without AI: 3–8 hrs/site/week compiling summaries from WhatsApp & Excel.
Cluster heads spend half their week gathering data from site managers, formatting reports, and preparing for reviews — instead of actually managing sites.
With SFL AI: Portfolio summary in 30 seconds. Ask, don't compile.
EXECUTIVE agent gives instant cross-site ranking, health scores, attention lists, and auto-generated weekly ops summaries — ready for leadership review.
3–8 hrssaved per site/week

Renewals Lost to Weak Review Meetings

Without AI: MBR with stale data. Client unconvinced. Contract lost.
FM companies enter client reviews with outdated spreadsheets and vague improvement plans. The client sees no evidence of proactive management.
With SFL AI: Walk in with live health scores & trend evidence.
AI-generated site health scores, improvement trends, SLA compliance data, and proactive action logs — all ready for MBR/QBR with zero prep time.
20–25%better retention

Can't Scale Without Adding More People

Without AI: Every new site = new manager + new reporting load.
Growth stalls because adding sites means proportionally adding operations staff, reporting burden, and management overhead.
With SFL AI: One manager handles 2–3× more sites.
AI compresses review, reporting, and triage time. Portfolio intelligence means leaders manage by exception — only flagged sites need attention.
2–3×sites per manager

SLA Breaches Discovered After Penalties

Without AI: SLA breach found at month-end. Penalty already applied.
Response time breaches, resolution delays, and missed PPM schedules go unnoticed until the client raises a penalty invoice.
With SFL AI: Breach detected in real-time. Auto-escalated.
SENTINEL tracks every complaint timer, PPM schedule, and resolution SLA. The moment a threshold is at risk, the site manager and cluster head are alerted.
40–60%faster breach detection

No Visibility into Site Profitability

Without AI: All sites look the same on paper. Some bleed money silently.
High-effort sites with repeat failures, excess manpower, and vendor overcharges erode margins — but nobody sees it until the P&L is closed.
With SFL AI: Per-site cost, effort, and margin visibility.
ANALYST tracks maintenance cost per site, vendor spend, manpower utilisation, and repeat failure patterns — giving leadership clear margin intelligence.
8–15%maintenance cost reduction
Built for Every Built Environment

One Platform. Every Vertical.

From gated communities to sprawling industrial plants — SFL's AI adapts to the unique operational needs of each sector.

🏢

Residential Complexes

Gated communities and apartment towers where residents expect zero disruption. AI monitors energy, water, and asset health daily — auto-generates DMR/MMR reports, optimises borewell operations via AquaEdge, and generates per-unit utility bills. Management committees get portfolio visibility without a single Excel sheet.

AI DMR / MMRAquaEdge BorewellAuto BillingAsset PPMPredictive AI
🏬

Commercial Offices & Malls

Multi-tenant properties where every rupee is tracked. AI dashboards surface energy cost per floor, flag SLA breaches before penalties hit, and auto-allocate CAM charges across tenants. Vendor performance scored in real-time. Client reviews backed by live data — not stale spreadsheets.

Tenant Cost AllocationSLA Auto-EscalationVendor ScoringESG Reports
🏭

Industrial Plants

DG sets, transformers, pumps, and panels monitored 24/7 via IoT. AI predicts failures 18+ days ahead, auto-raises work orders on anomaly detection, and tracks RUL on every critical asset. Unplanned downtime drops 20–40%. Maintenance shifts from reactive to prescriptive.

IoT Asset MonitorRUL ForecastAuto Work OrdersDG Optimisation
🏨

Hospitality & Institutions

Hotels, hospitals, and campuses where 15 minutes of downtime costs reputation. Real-time SLA enforcement, AI-driven PPM calendars, instant compliance alerts, and guest-impact prioritisation. AI ensures the maintenance team acts before the guest complains.

Zero-Downtime PPMSLA EnforcementCompliance AlertsEnergy Audit
IoT & Sensor Intelligence

Your Building,
Fully Connected.

From energy meters to borewell depth sensors — SFL ingests, normalises and acts on every data signal your facility generates. No data silo left behind.

💧

Water Sustainability

In most buildings, water is the largest untracked operating cost and the fastest-growing ESG liability. SFL changes that. Ultrasonic sensors on every sump and overhead tank, automated pump control tied to real consumption data, per-zone flow metering, and borewell intelligence that monitors aquifer drawdown and recovery — so extraction stays within sustainable yield. Leak detection via flow anomaly catches losses silently accumulating across plumbing networks. Every litre is logged, attributed and reportable.

Energy Sustainability

Energy is the single largest controllable cost in any facility — and in most portfolios, it is still measured with a monthly bill and a gut feeling. SFL replaces that with register-level data from every meter on site via direct Modbus RTU/TCP integration. kWh, kVAh, Maximum Demand, Power Factor, harmonics — all structured, attributed and continuously monitored. Multi-feeder and sub-meter architecture means you can isolate consumption by floor, tenant, DG source or grid feed. The foundation for every carbon reduction commitment and OPEX saving that follows.

🌡️

IoT Sensor Network

Temperature, humidity, CO₂, smoke and motion sensors connected to SFL dashboards. Automatic escalation workflows on threshold breach — zero manual polling required. Full sensor health monitoring with offline alerts.

💧
SFL AquaEdge
Smart Borewell Yield Optimisation

The system continuously learns how each borewell performs, what it costs, and how fast it recovers — then automatically decides which borewell to run, when, and for how long. Eliminates unnecessary pump runtime, prevents dry-run motor burnouts, and extends asset lifespan by 2–3×. Zero manual intervention.

Yield Ranking per Borewell ₹/KL Cost Optimisation Aquifer Recharge Scheduling Demand Prediction Dry-Run Protection Tanker Avoidance Tracking
15–25% Energy savings
via smart scheduling
2–3× Pump lifespan
increase
₹0 Dry-run motor
damage
Daily Glance — Live
15.6
KL extracted today
2.6
Tankers avoided
Bore 1 — Main Gate₹4.80/KL
Bore 3₹5.20/KL
Bore 4₹11.30/KL
<6 months ROI
Predictive Maintenance

From Reactive
to Prescriptive.

Whether the signal comes from an IoT sensor or a technician's ground-level log entry — SFL's AI builds a continuous health picture of every asset. It doesn't just predict failure. It prescribes the fix, raises the work order, and tracks resolution.

01

Dual-Source Data Fusion

IoT telemetry and manual technician entries are treated as equal first-class signals. Even assets without sensors receive AI-driven health scores based on inspection logs alone.

02

Remaining Useful Life (RUL) Forecasting

ML models trained on your facility's own history calculate how many days each asset has before maintenance is required — HVAC, pumps, DGs, lifts, transformers, blowers.

03

Auto-Triggered Work Orders

The moment an anomaly is detected — vibration spike, temperature drift, abnormal current — SFL auto-raises a prioritised work order, assigns the right technician, and notifies the FM team.

04

Failure Mode Analysis & Pareto Reports

Monthly AI-generated failure pattern reports highlight systemic issues, enabling smarter capex planning and vendor accountability. Understand what failed, why, and how often.

End-to-End Asset Maintenance Lifecycle
📋 Master Asset Register
HVAC · 8 units Pumps · 14 DG Sets · 3 Lifts · 6 Transformers · 2 +38 more
📅
PPM Schedule
Auto-calendar, checklists, frequency rules
🔧
Work Orders
Breakdown, corrective, auto-assigned
🔍
Inspections
Mobile forms, photo capture, sign-off
📸
Images & Docs
Warranties, manuals, AMC, before/after
💥
Breakdown Log
Root cause, MTTR tracking, cost log
📦
Parts & Inventory
Consumption, reorder alerts, vendor link
🤖 AI Predictive Layer
RUL forecasting per asset
Auto WO on anomaly detect
Failure mode classification
Pareto & trend reports
⚡ Agentic AI Loop
📡 Detect 🧠 Reason 📋 Act 📲 Notify ✅ Close
ESG Monitoring & Reporting

Sustainability
That's Measurable.

Regulatory pressure and client ESG commitments make sustainability data non-negotiable. SFL captures signals through IoT meters and sensors where available, and structured manual inputs from operations teams where needed — giving you a structured, audit-ready ESG scorecard for every building.

Data source IoT Auto Manual
Building ESG Score — How We Arrive at Your Metrics
Smart Facility Labs · ESG Reporting
Overall Score
84
/ 100 · FY 2025
Tracked across E · S · G pillars
Energy Intensity
kWh / m²
IoT Auto
↓ 14%
Water Intensity
L / occupant
IoT Auto
↓ 18%
Carbon Footprint
Scope 1 + 2
Manual
↓ 22%
SLA Compliance
FM service level
IoT Auto
98.2%
Safety Incidents
On-site reported
Manual
0
Staff Trained
Compliance modules
Manual
100%
AMC Compliance
Statutory contracts
Manual
100%
Statutory Reports
Fire, lift, DG certs
Manual
100%
🤖
AI Insight Shifting pump schedules to off-peak hours could reduce energy intensity by a further 6% — review scheduling rules in the Energy module to action this.
ISO 50001 aligned · Audit-ready export
Utility Management & Automated Billing

Every Unit. Every Kilowatt.
Accounted For.

End the disputes. Automated sub-meter reading, consumption calculation, invoice generation and payment tracking — for energy, water and DG — without a single manual calculation.

Energy Billing & MD Management

Sub-metered energy consumption per unit, floor or tenant. Automated invoices with tariff slabs, demand charges and PF penalties — ready on billing date.

ToD tariff support with peak/off-peak rates
Maximum Demand alerts before billing cycle
DG unit cost calculation and pass-through
PDF invoices with consumption history charts
💧

Water Consumption Billing

Bulk water cost allocation across units using flow meters. Slab-based charges, tenant invoices and payment tracking — all on one screen.

Zone-wise and unit-wise flow metering
Leak detection via consumption anomalies
Borewell vs municipal water cost split
Monthly water audit reports for ESG
🏭

DG & Common Area Charges

Track DG run hours, fuel consumption and output units. Apportion costs fairly across beneficiary units with configurable CAM charge formulas.

DG unit cost = fuel ÷ kWh output auto-calculated
CAM charges by area or occupancy ratio
Consolidated utility bill in one invoice
Payment tracking and overdue alerts
📊

AI Dashboards & Analytics

Visual analytics across all utility streams. Benchmark buildings against each other, forecast next month's consumption and identify top cost contributors.

Predictive consumption forecasting
AI anomaly detection with root-cause analysis
Executive summary reports auto-generated
Mobile-first dashboards for FM managers
📱

Biometric Manpower Tracking

IoT-based biometric attendance for ground staff. Presence tracking, shift management and automated payroll data export — integrated with work order assignment.

Fingerprint + face recognition support
Shift scheduling and OT tracking
Presence-based SLA enforcement
Monthly staff performance scorecards
📑

AI Monthly Maintenance Report

At month-end, SFL's AI compiles all work orders, asset health, utility data and ESG metrics into a branded report — automatically delivered via email and WhatsApp.

AI-generated executive summary with narrative insights
Shareable report link sent to client automatically
WhatsApp + email delivery at month-end
Trend charts with month-on-month comparison
Platform Impact

Operational Gains
Across Similar Deployments

Ranges reflect outcomes observed across FM deployments at similar scale and complexity.

20–40%
Reduction in unplanned downtime
20–30%
Fewer asset breakdowns
10–20%
OPEX reduction through automation
15–25%
Energy & water consumption savings
95%+
Compliance & PPM adherence target
⚡ WITH AI CO-PILOT
20–30%
Faster complaint resolution time
5–8 hrs
Saved per cluster head per week on reporting
2–3×
More sites per manager without quality loss
40–60%
Faster SLA breach detection
Real-time
Vendor SLA & AMC performance tracking
Infrastructure & Security

Your Facility Data.
AWS Managed. Enterprise Secured.

Enterprise-grade infrastructure trusted by India's largest property developers.

☁️
Hosted on AWS
Mumbai & Singapore regions. Auto-scaling, multi-AZ redundancy.
⏱️
99.5% Uptime SLA
Contractually backed. Monitored 24/7 with auto-failover.
🔒
SOC 2 Type II Compliant
Annual audits. Data encryption at rest & in transit (AES-256).
🛡️
Role-Based Access Control
CEO, Ops Head, Site Manager, Technician — each sees only what they should. Full audit trail on every action.
💾
Daily Automated Backups
Point-in-time recovery. 30-day retention. Zero data loss guarantee.
🔐
API Security & Encryption
Custom AES-encrypted API layer. Token-based auth. No data leaves unprotected.

Ready to Stop Reacting
and Start Predicting?

See how SFL's AI-powered platform transforms your facility operations — from IoT monitoring and predictive maintenance to autonomous AI agents that act while your team sleeps. 30-minute live demo.

Book a Free Demo Client Login →