Network Capacity Planning Automation
Let your AI agent analyze utilization, forecast future needs, and generate configuration updates—so you can keep networks right-sized without manual guesswork.
If you’re a network architect, you know the pain of juggling Excel sheets, sifting through logs from SolarWinds or Datadog, and updating configs in Cisco or AWS by hand. Every adjustment means hours lost and the risk of outages or wasted spend. You shouldn’t have to triple-check every calculation just to keep up with changing demand.
An AI agent that analyzes network usage, forecasts demand, and drafts right-sized configuration changes for network architects.
What this replaces
The hidden cost
What this is really costing you
In technology and SaaS companies, network architects spend hours each week pulling usage reports from SolarWinds, exporting data to Excel, and manually updating Cisco or AWS configurations. The process is tedious and error-prone, especially when demand shifts quickly. Missed calculations can cause costly over-provisioning or, worse, outages during traffic spikes.
Time wasted
1.7 hrs/week
Every week, burned on work an AI agent handles in minutes.
Money lost
$2,465/year
In salary, missed revenue, and operational drag — annually.
If you keep ignoring it
Ignore this, and you risk service disruptions during peak periods, unnecessary cloud spend from oversized resources, and compliance headaches when documentation is incomplete.
Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.
Return on investment
The math speaks for itself
Today — without agent
1.7 hrs/week
of manual work
With your AI agent
15 min/week
agent-handled
You save
$2,030/year
every year, reinvested into growing your business
Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.
Jobs your agent handles
What this agent does for you
Complete jobs, handled end-to-end — so your team focuses on what matters.
Responding to Sudden Traffic Spikes
You ask your agent to analyze recent traffic surges and recommend immediate resizing actions to prevent bottlenecks.
Preparing for Scheduled System Upgrades
You ask your agent to project future network needs and suggest configuration changes before a major rollout.
Optimizing Underutilized Resources
You ask your agent to identify over-provisioned network segments and provide downsizing recommendations.
Documenting Change Rationale
You ask your agent to generate a summary report explaining why specific network resizing actions were taken for compliance records.
How to hire your agent
Connect your tools
Connect your existing network monitoring, configuration management, and usage analytics tools.
Tell your agent what you need
Type: 'Analyze current network traffic and recommend resizing for our east region to handle projected Q3 growth.'
Agent gets it done
Agent returns a detailed report with recommended network sizes, configuration snippets, and an impact summary.
You doing it vs. your agent doing it
Agent skill set
What this agent knows how to do
Analyze Historical Utilization
Pulls traffic and usage metrics from SolarWinds or Datadog, delivering a trend report with bottleneck highlights.
Forecast Capacity Needs
Projects future network requirements using historical data and upcoming events, then recommends right-sized allocations.
Draft Configuration Changes
Generates ready-to-apply Cisco IOS or AWS config snippets for resizing network segments, ensuring syntax accuracy.
Summarize Change Impact
Creates a plain-language summary of expected risks, improvements, and compliance considerations for each proposed adjustment.
AI Agent FAQ
Yes, as long as you provide usage data from each region, the AI agent can analyze and recommend adjustments across complex environments. It supports input from SolarWinds, Datadog, and AWS CloudWatch. Just note, it doesn't auto-discover resources—you control what data is analyzed.
No, your AI agent generates configuration recommendations and ready-to-use snippets for Cisco, AWS, or other platforms. You review and apply changes, maintaining full control over your network.
All uploaded logs and configuration data are processed in-memory and never stored after the session. Data is encrypted in transit using TLS 1.3, and nothing is retained beyond your request.
The agent uses your supplied historical metrics and industry best practices to generate forecasts. Final validation is always up to your team, but the agent provides detailed rationale for every recommendation.
Absolutely. You can specify the format for summary reports or configuration snippets—whether you need Cisco IOS, AWS CLI, or a PDF summary for compliance. The agent tailors its output to your instructions.
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