HOW WE DEPLOY

From first camera to full production.

Rainscales does not stop at the AI model. We coordinate the infrastructure, configure the deployment, operationalize the workflow, and stay accountable after go-live.

See the Deployment Process → Talk to Us →
THE DEPLOYMENT MODEL

AI detection is one layer. Rainscales manages everything around it.

We coordinate the infrastructure, deploy the detection and workflows, and operate the system after go-live so your team is not left stitching the pieces together.

01

Coordinate

Camera access, vendor coordination, IT/security requirements, site readiness, connectivity, and edge hardware.

02

Deploy

Detection zones, rules, alert routing, validation, supervisor workflows, escalation paths, and user onboarding.

03

Operate

System health, alert quality, tuning, KPI reviews, stakeholder reporting, new use cases, and multi-site rollout.

Rainscales workflow showing an event detected, validated, assigned to operations, and resolved
From event detected to event resolved: the operating workflow around Intelligent Detection.
SOFTWARE VS. FULL DEPLOYMENT

Detection is the easy part. Deployment is where the work begins.

A standard computer vision platform can identify an event. The harder job is connecting cameras, infrastructure, workflows, people, and ongoing operations around it.

STANDARD AI / COMPUTER VISION SOFTWARE

The alert is only the beginning.

Standard computer vision can analyze video, identify events, and generate alerts. Everything below still needs an owner.

The AI model development pipelineEight-stage cycle: define, collect, annotate, curate, train, evaluate, deploy, and monitor
Camera accessPermissions, streams, site coordination
Vendor coordinationCamera suppliers, IT, security, local teams
Edge hardwareProvisioning, placement, compute requirements
Network connectivityAccess paths, firewall rules, stability
Zones & rulesSetup by site, camera, and use case
Validation & tuningAccuracy checks, false positives, refinements
Alert workflowsRouting, escalations, SOP alignment
User onboardingTraining, adoption, change management
Ongoing operationsUptime, troubleshooting, performance reviews
ReportingKPIs, stakeholder updates, proof of value
Expansion planningNew sites, cameras, and use cases
AccountabilityWho owns delivery when something breaks?
See the Intelligent Detection layer →
THE RAINSCALES MODEL

Rainscales takes the work off your plate.

We own the deployment around the AI, so your team does not inherit another system to implement and operate.

  • Camera & vendor coordinationExisting suppliers, IT, security, and site teams aligned.
  • Edge deployment & connectivityHardware, access, network paths, and configuration handled.
  • Detection configuration & validationZones, rules, alert quality, and tuning managed.
  • Workflow integration & onboardingAlert routing, response protocols, escalation, and training set up.
  • Ongoing operations & expansionSystem health, performance reviews, tuning, and rollout managed.
One accountable Rainscales delivery lead. A working production system, not another platform to implement.
SEE DEPLOYMENT IN ACTION

From first look to full production.

Rainscales structures every engagement around a shared delivery plan that keeps your team aligned, tracks progress against defined goals, and provides visibility into every step, from first footage review through full-scale rollout.

Choose a stage to see what happens, what your team does, and what you walk away with.

POC Lite
Historical Footage Review

Rainscales reviews your existing CCTV footage against agreed detection rules and success criteria, with no live connection required. You see real findings from your own environment before any infrastructure commitment.

  • Kickoff: footage handoff, success criteria confirmed, results meeting scheduled
  • Detection analysis run and early findings mapped to agreed goals
  • Midpoint alignment session with the working team
  • Final findings reviewed with stakeholders
  • ROI narrative drafted and go/no-go decision made
Connected POC
Live Camera Evaluation

Rainscales connects to a subset of your cameras, activates selected detection rules, and runs a live evaluation with regular alignment reviews and KPI tracking against your agreed baseline.

  • Implementation: cameras connected and rules activated
  • Users trained on alerts and reporting
  • Alert quality reviewed and false positives addressed
  • Corrective actions documented against real events
  • KPI progress reviewed and expansion use cases identified
Readiness
Scoping Your Full Rollout

POC findings become the foundation for expansion. Readiness maps what was proven in the pilot to the rest of your sites, identifying which locations, use cases, and teams are next and what it takes to get there.

  • POC results translated into full-site rollout scope
  • New locations and use cases prioritized by pilot performance
  • Infrastructure requirements confirmed for each additional site
  • Success criteria updated using POC actuals as the new baseline
  • Procurement and deployment timeline agreed with stakeholders
Installation
Scaling Across Sites

The hardware configuration and detection settings proven in the Connected POC are replicated and expanded across all sites in scope. What worked in the pilot becomes the standard for every new location.

  • POC camera configuration and zone settings replicated site-wide
  • Detection rules tuned per site using pilot performance as a baseline
  • Alert routing extended to new sites and stakeholder groups
  • Edge hardware deployed using the standardized POC playbook
  • System health monitoring expanded across the full environment
Integration
Rolling Out to the Full Organization

The alert workflows, escalation protocols, and supervisor training established during the POC are extended to every site and team. What worked for the pilot group becomes the standard across the organization.

  • POC alert and escalation protocols adopted organization-wide
  • Supervisor training scaled from pilot team to site managers
  • Frontline onboarding uses the POC-proven approach and materials
  • Incident response and SOP documentation updated across sites
  • Adoption tracked per site against POC engagement benchmarks
Launch
Full Production, Measured Against What You Set Out to Prove

All sites go live. Performance is tracked against the success criteria defined at kickoff and the actuals established during the POC, so every stakeholder can see how far the program has come and where it is headed.

  • Full production monitoring active across sites and use cases
  • Regular reviews track progress against POC-defined success criteria
  • Alert accuracy and volume benchmarked against pilot performance
  • Adoption tracked across teams and locations
  • Progress milestones reported to executive sponsors
Optimize
Expanding Use Cases, Refining Results

Go-live starts an ongoing improvement cycle. Rainscales reviews event outcomes with your team, tunes detection rules and thresholds to your operating environment, surfaces where performance is slipping, and helps turn better signals into measurable corrective action.

  • Reviewed-event outcomes used to tune rules, thresholds, and alert quality
  • Signal quality tracked by site, use case, and operating condition
  • Sites that move against the trend prioritized for the next tuning cycle
  • Corrective actions and operational changes reviewed with customer stakeholders
  • New use cases, expansion priorities, and ROI tracked with your Rainscales delivery lead
Stage 1 of 7
MANAGED SERVICES IN ACTION

Go-live is where optimization starts.

Rainscales does not set detection rules once and walk away. Our managed services team reviews outcomes with your team, tunes models and thresholds to the operating environment, identifies where signal quality is slipping, and helps connect better detections to corrective action.

200%+ improvementin alert quality over the first 60 days
80%+ fewerfalse alarms reaching reviewers
~60% moreconfirmed events surfaced for action
ANONYMIZED CLIENT EXAMPLE

Alert quality improved sharply over time.

Across the first three reporting periods, the share of reviewed alerts that were confirmed as real climbed from 20% to 75%. The upward arrow shows the bigger point: optimization does not stop at go-live. As Rainscales and the client keep tuning the system together, signal quality should keep improving.

Animated chart showing alert quality improving from 20 percent in Period 1 to 60 percent in Period 2 and 75 percent in Period 3, with an upward arrow indicating ongoing optimization
Scout the Owl
THE IMPROVEMENT LOOP

Review. Tune. Validate. Act. Measure. Repeat.

Managed services turns event review into an ongoing improvement process shared with the customer.

  1. 1
    Review outcomesSeparate confirmed events from false alarms and capture operating context.
  2. 2
    Tune the detectionAdjust model logic, thresholds, sensitivity, zones, and rules to site conditions.
  3. 3
    Validate signal qualityTrack whether more of what reaches the team is useful and actionable.
  4. 4
    Align corrective actionReview patterns with customer stakeholders and connect detections to response workflows.
  5. 5
    Measure what changedReport trends by location and use case, then prioritize the next tuning cycle.
When a location moves against the trend, it becomes the next tuning priority.That is the difference between software support and an accountable managed-service relationship.
Improve the signal

Review event quality, tune detection logic and thresholds, surface anomalies, and report trends.

Add operational context

Validate what happened, explain site conditions, confirm priorities, and take corrective action.

Turn data into improvement

Agree on what to tune next, track whether the change worked, and expand the program around proven results.

FROM DATA TO ANSWERS

Get answers without the dashboard.

Rainscales AI Advisor gives safety and operations leaders a simpler way to understand the data behind the program. Ask questions in plain language about events, locations, trends, performance, and corrective action without digging through complex dashboards.

Ask the question. See the trend. Know where to act.

Which locations improved the most this month?
Where are false alarms increasing?
How many confirmed events did we have this week?
Which areas should we prioritize for corrective action?
AI Advisor is shown as a product example. Available capabilities depend on the client environment and connected data.
Rainscales AI Advisor interface showing a user asking questions about events and operational patterns
NOT READY TO SCOPE A PILOT YET?

Pressure-test the fit before you take the next step.

Ask a deployment question or build the business case first. Both options help your team evaluate Intelligent Detection without adding another sales meeting to the calendar.

Scout the Rainscales owl
HAVE QUESTIONS?

Ask Scout anything.

Ask about camera requirements, deployment, POCs, use cases, or what your team would need to provide. Get a practical answer without sales pressure.

Ask Scout →
BUILD THE BUSINESS CASE

See your ROI before you deploy.

Estimate potential impact across safety, operational loss, downtime, and incident response so you can build a clearer case for investment.

Open ROI Calculator →

Ready to turn the roadmap into a real deployment?

Start with the site where the need is clearest, define what success should look like, and build a rollout plan around your existing infrastructure.

Talk to Us About Deployment → See If Your Site Is Ready →