Intelligent Lifecycle
Intelligent Lifecycle
Applying Lifecycle Intelligence Across Your IT Estate
Intelligent Lifecycle is how we apply data-driven infrastructure intelligence, AI, and automation expertise across the IT estate to improve how it is planned, executed and optimized—delivering measurable cost, risk and operational outcomes.
Overview
Every phase of your technology lifecycle.
Connected.
Manual lifecycle motions can no longer keep pace with enterprise risk. Intelligent Lifecycle unifies Day 0 design through Day 2 operations into one continuously-optimized approach — powered by AI, data and automation.
The model
Three capabilities combined to maximize lifecycle intelligence.
Each stands alone. Together they interlock. No forced sequence, no bundled lock-in.
One unified data + AI + automation foundation
Baseline & model
Insights & foresight
"We need to see the whole estate before we can act on it."
Lifecycle planning intelligence
EOL / EOS exposure & refresh-timing modeling
Risk scoring & prioritization tied to SLA
Spend optimization & rationalization
Plan & execute
Action & acceleration
"We have the data — we need help executing at scale."
Intelligent agentic workflow orchestration
Patching & compliance automation
Automated deployment & decommissioning
Governed change at scale
Real-time feedback loops
Assurance & optimization
"We're operating well — we want continuous tuning and proof."
Observability & AI-driven analytics
Incident prediction & intelligent triage
Continuous performance tuning
Audit-ready evidence & reporting
Planning to production
From planning to production, and back again.
Every step in your technology lifecycle connected by AI, data and automation.
1
Planning
180 days out
Key Actions
Initiate planning experience with Automation team
Establish a clear view of priorities for key stakeholders
Coordinate asset data intake, rationalization, and inventory mapping
EOL / EOS device identification and proprietary risk scoring
WWT Approach
Gain estimated refresh liability and financial exposure modeling
AI and automation opportunity identification and ROI framing
Produce executive business case with prioritized findings and a clear foundation for the Intelligent Lifecycle journey by opportunity
2
Design
180 - 130 days out
Key Actions
Confirm project scope and validate site data
Prioritize assets and assess risksAlign stakeholders and finalize planning
Finalize BOMs and approve design specs
Create Enterprise Implementation Plan (EIP)
WWT Approach
Auto-ingest requests and notifications
Automate risk assessments and inventory validation
Auto-generate BOMs and pre-fill design templates
3
Validate
130 - 110 days out
Key Actions
Validate site and final engineering designs
Run automated pre-change checks and syntax validation
Confirm IP assignments, DNS updates, hardware staging
Finalize pre-deployment configurations
Peer or principal engineer sign-off on EIP
WWT Approach
Automate configuration pre-filling and validation
Trigger deployment tasks and site readiness checks
Act as compliance milestone gate for reusable patterns certified in the ATC that can be promoted directly into deployment automation
4
Order & Arrangement
130 - 110 days out
Key Actions
Confirm hardware shipping and delivery status
Coordinate vendor availability and lead times
Automate procurement steps via API integration
WWT Approach
Coordinate ordering with existing WPA or EA contracts
Auto-generate BOMs and procurement orders
Automate vendor task assignments and approvals
Pre-fill procurement templates and route for review
5
Recieve
110 - 80 days out
Key Actions
Receive and serialize all hardware against PO and BOM
Document chain of custody for all assets
Update CMDB/ITAM with received assets
Queue assets into staging workflow
Flag and resolve any discrepancies
WWT Approach
Automated asset receiving and serialization
CMDB population at point of receipt
Kitting and dependency alignment
Chain-of-custody documentation generation
6
Configure
110 - 80 days out
Key Actions
Zero-touch imaging and baseline configuration
Security hardening per compliance standards
Firmware and patch pre-staging
Configuration validation against approved design spec
Automated pre-change linting
WWT Approach
Automate configuration pre-filling and validation
Automate hardware configuration updates
Trigger deployment tasks and site readiness checks
7
Automate
80 - 50 days out
Key Actions
Build agentic orchestration workflow across all sites
Schedule and govern change windows
Sequence dependencies and detect cross-site conflicts
Define rollback and backout plans per site
Align installation schedules and confirm readiness
WWT Approach
Automate hardware configuration updates
Trigger activation workflows for deployment
Auto-log and validate setup results
Stamp ATC-validated design patterns with IP addresses, site IDs, & location data
8
Deploy
80 - 50 days out
Key Actions
Push configurations to all targeted devices via Ansible
Execute zero-touch provisioning and activation
Run automated post-deployment verification
Compare pre and post data validationSave logs to document management system
WWT Approach
Automate hardware configuration updates
Trigger activation workflows for deployment
Auto-log and validate setup results
9
Install
50 - 0 days out
Key Actions
Onsite vendor tech completes physical installation
Run post-change testing and confirm system setup
Ensure devices are onboarded into management tools
WWT Approach
Auto-log and validate setup results
Trigger activation workflows
Set up real-time monitoring and alerts
10
Operate
Day 2 - Continuous
Key Actions
Run post-deployment health checks and validation
Monitor and address post-go-live issues
Enable telemetry-driven alerts and AIOps triage
Update knowledge base with lessons learned
Re-enable and tune alarm thresholds
WWT Approach
Auto-log and validate setup results
Trigger activation workflows
Set up real-time monitoring and alerts
11
Insights & Decisions
Day 2 - Continuous
Key Actions
Re-score EOL/EOS exposure from current telemetry
Finalize as-built diagrams and update EIP documentation
Capture lessons learned in knowledge base
Generate next-cycle refresh roadmapFeed optimization data into next planning cycle
WWT Approach
Telemetry-driven optimization and updates
Automate health checks and performance testing
Set up real-time monitoring for lifecycle triggers
Solutions
Featured Lifecycle Solutions
Purpose-built solutions that apply data, AI, and automation to improve technology outcomes.
Asset 360 Advance
Turn fragmented technology data into actionable intelligence.
Unify assets, lifecycle, risk, contracts, and operational data for a complete view of your technology estate.
Agentic Patching
Reduce vulnerability exposure through intelligent remediation.
Use AI-driven prioritization, dependency awareness, and automated execution to accelerate patching with less risk.
Zero-Touch Provisioning
Automate infrastructure deployment from request to production.
Eliminate manual steps with policy-driven workflows, automated configuration, and end-to-end orchestration.
AI for NOC
Transform operations from reactive monitoring to intelligent action.
Apply AI to correlate events, reduce noise, prioritize incidents, and accelerate resolution.
Intelligent Asset Refresh
Modernize technology with confidence and precision.
Identify refresh opportunities, prioritize investments, model business impact, and execute with lifecycle intelligence.
Get started
Start the journey.
We meet you where you are, regardless of size, maturity or phase of the journey.
Phase 01
Discovery conversation
Where EOL and refresh pain hits hardest, what the asset landscape looks like, and what success means for your CTO, NetOps, and CFO.
Phase 2
Business case workshop & readout
WWT performs an IT estate data assessment to quantify EOL exposure, financial impact, risk prioritization, and AI / automation ROI.
Outcome
Executive readout & roadmap
Prioritized findings and a clear foundation for a tailored Intelligent Lifecycle roadmap — the data and confidence to act with precision, not assumption.