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Location-aware physical operations

AcodeAI turns physical operations into guided, traceable digital execution.

Use QR Codes as the contextual anchor, guide users on WhatsApp, route requests to the right team, collect evidence and manage SLAs with far less friction than free-form reporting — across condos, corporate buildings, hotels and property operations, including Airbnb.

Context first

Each event starts attached to a known location, point or asset context.

Guided WhatsApp flows

Structured BOT interactions capture the right data instead of vague free text.

SLA, evidence and ownership

Check-in, check-out, photos, history and accountability from start to finish.

Open architecture

Integrate maintenance, GMUD, analytics and future perception layers when needed.

Designed for operations with multiple points, teams and SLAs

AcodeAI fits facilities, hotels, short-term rentals and property operations, including Airbnb.

CondosCorporate buildingsHospitals and clinicsRetail chainsCampuses and universitiesIndustries and plantsHotelsAirbnb and short-term rentals

Why operations teams choose AcodeAI

The product is not just a chat entry point. It is a structured operating layer that starts with context and ends with traceability — useful for facilities, hotels and property operations, including Airbnb.

QR
Context anchor

Location-aware identification

Each QR Code represents a real operational point. This reduces ambiguity and keeps building, floor, area and routing attached to every event.

BOT
Structured

Guided capture instead of free text chaos

The BOT asks what matters. Users describe the problem, but the flow preserves structure, responsibility and the minimum data needed to operate well.

SLA
End-to-end

Execution with SLA, evidence and ownership

AcodeAI organizes service orders, rounds, check-ins, check-outs, photos, history and service levels in one traceable flow.

API
Future-ready

Open architecture for what comes next

APIs, webhooks and event layers connect maintenance, GMUD, analytics and future extensions such as voice, computer vision and IoT.

How it works

AcodeAI starts by structuring context. Then it guides capture, routes execution and measures what happened.

01

Map locations, teams and rules

Define buildings, floors, areas, service teams and routing logic for each operational point.

02

Attach identifiers to real-world points

Use QR Codes today and keep the model ready for other identifiers over time.

03

Choose guided flows for each scenario

Service orders, rounds, audits, ratings, material consumption and other structured routines.

04

Operate with SLA, evidence and history

Track check-in, check-out, ownership, photos, timing and operational KPIs in one place.

Where AcodeAI creates value

Best suited for operations with many locations, recurring demands, multiple teams or vendors and a real need for service visibility.

Hospitals and clinics

Critical environments where location context, fast routing and evidence matter.

  • Incidents, rounds and audit-ready evidence
  • Escalation paths and response visibility
  • Future extension to CV / IoT where applicable

Condos and buildings

Many towers, floors and vendors under one operating standard.

  • QR per point with precise routing
  • SLA dashboards and service history
  • Governance for internal teams and suppliers

Hotels, short-term rentals and Airbnb

Cleaning, maintenance, inspections and turnover routines with predictable and traceable execution.

  • Requests started by guest, host or operations with controlled handoff
  • Checklist, evidence and history per unit
  • SLA visibility by property, team and vendor

Industries and plants

Structured corrective and preventive routines with approvals and integrations.

  • Operational traceability per point or asset
  • Evidence, ownership and controlled execution
  • API and event layer for broader maintenance stacks

Retail chains

Distributed operations where standardization beats improvisation.

  • Same model across many stores
  • Local issues with cleaner contextual data
  • KPIs by discipline, region, unit and supplier

Campuses and universities

High circulation and multiple stakeholders organized into measurable service levels.

  • Multi-team routing
  • History by building, floor and area
  • Traceable communication and execution

Where AcodeAI is going

Today, the core is location-aware guided operations. The next layer is expanding perception and autonomy without losing context, traceability or governance.

Universal identification

QR Codes are the current anchor. Over time, the same logic can extend to NFC, short codes, asset tags and other contextual identifiers.

Voice with context

Voice becomes powerful when context comes first. Scan, identify the location, then describe the issue by voice or text without losing building, floor and area.

Computer vision when it makes sense

For some operations, computer vision can detect events such as full bins, visual nonconformities or unsafe conditions — always attached to a known point in the operation.

IoA and perceptive operations

With sensors or telemetry, AcodeAI can evolve from guided orchestration to perceptive orchestration, where events are detected, classified and routed with less human initiation.

This is a future-facing section. It complements the current product instead of replacing it.

Frequently asked questions

Questions that matter when the product is being evaluated for real operations.

Need a more specific answer?Talk to our team

Ready to structure your operation?

Map locations, teams, flows and SLA in a pilot that starts with context.

A good pilot does not begin with vague chat. It begins with the right identification model.

Talk to AcodeAI

Contact

Tell us about your operation and we’ll design a pilot around locations, teams, SLAs and guided workflows.

Let’s design your pilot

With just a few details we can suggest the initial identification model, WhatsApp workflows, routing logic and operational visibility for your team.

Initial operating map

We understand buildings, floors, areas, units, teams and vendors.

Identification model

We define where QR Codes and guided flows create more context and less operational noise.

Pilot with real value

We leave the conversation with a viable scope to validate operations, SLA and traceability.

Base

Niterói, RJ Brazil

AcodeAI | Location-aware operations platform