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Implementation Process

From camera to insight in five practical steps.

Braingine follows a structured five-step implementation process designed to deliver working operational intelligence in days, not months.

Five-Step Process

A structured path from camera to outcome.

Step 01
Discovery

Identify the use case, locations, cameras, KPIs, and operational requirements.

  • Define the specific operational problem to solve
  • Inventory existing camera infrastructure and coverage
  • Establish baseline KPIs and success metrics
  • Identify integration requirements and data flows
  • Map stakeholder roles and reporting needs
Step 02
Configuration

Configure models, rules, thresholds, and dashboards using MasterMind.

  • Select appropriate AI models for the use case
  • Define operational zones, rules, and alert thresholds
  • Configure dashboard layouts and KPI displays
  • Set escalation paths and notification routing
  • Establish reporting schedules and formats
Step 03
Integration

Connect existing cameras and relevant operational systems.

  • Validate camera feeds and stream quality
  • Connect to WMS, ERP, or CMMS where applicable
  • Configure edge devices or cloud processing pipeline
  • Test data flow end-to-end
  • Verify security and access controls
Step 04
Testing

Validate accuracy, alerts, workflows, and reporting.

  • Test model accuracy against real facility conditions
  • Validate alert triggers and notification workflows
  • Confirm dashboard data matches operational reality
  • Review reporting with operations stakeholders
  • Refine thresholds and configurations based on feedback
Step 05
Go-Live

Deploy dashboards and begin tracking operational outcomes.

  • Activate production dashboards and live alerts
  • Brief operations teams on alert response procedures
  • Establish baseline measurement period
  • Begin tracking outcomes against defined KPIs
  • Schedule 30-day optimization review
Traditional vs Braingine

Why Braingine deploys faster.

Traditional Computer Vision

  • Months of custom AI model development
  • Specialist data science and ML engineering teams
  • High upfront capital commitment before any value
  • Lengthy procurement and vendor evaluation cycles
  • Significant change management for operations teams
  • Ongoing model maintenance and retraining costs

Braingine

  • Configure and deploy in days using existing cameras
  • Operations teams configure — no specialist engineers required
  • Validate ROI during the implementation period itself
  • Straightforward procurement with clear pricing
  • Familiar dashboard interfaces for operations teams
  • Managed model updates and platform maintenance

Ready to see the implementation process for your operation?

Schedule a 30-minute review. Braingine will outline the specific steps and timeline for your use case.

Schedule Implementation Review
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