Where 30 Weeks Goes in a Large-Scale SD-WAN Rollout
A 200-site deployment generates hundreds of site survey PDFs, each requiring individual review before a branch config template can be built. Meraki dashboard change logs accumulate across the rollout, QoS policy validation must run against per-site SLA requirements, and every cutover requires a network engineer to review and approve before the branch goes live on the new infrastructure. Doing this sequentially with a small team is what produces 30-week timelines—not complexity, but throughput.
How the Agent Handles Config Generation and Cutover Gating
An AI Labor Company agent mines your site-survey report PDFs and Meraki dashboard change-log threads to build an understanding of your deployment patterns and approval workflow. It then deploys an agent that generates SD-WAN site config templates at scale, validates QoS policies against per-site SLA requirements, and gates each branch cutover on the network director's explicit approval—no branch cuts over without your sign-off. The agent handles the parallelizable configuration work; you handle the judgment calls. Teams running this workflow are typically live in about eight weeks and completing rollouts in fourteen.
The Business Case: Time-to-Revenue and Capacity
A 200-site SD-WAN deployment at $400K to $1.5M per engagement has a real cost-of-delay. Cutting the rollout timeline from 30 to 14 weeks means the business realizes the operational benefits—improved application performance, lower MPLS costs, better visibility—sixteen weeks earlier. For a retail chain, that can mean better POS reliability and inventory system uptime during a full additional selling season. The agent automating 60–80% of the configuration and validation work also means the network engineering team can manage more concurrent infrastructure projects without adding headcount.
Does the agent approve branch cutovers automatically?
No. Each branch cutover is gated on the network director's approval. The agent prepares and validates the config, but nothing goes live without explicit human sign-off.
Which Meraki features does the agent work with?
The agent is built from your existing Meraki dashboard change logs and site survey documentation. It can generate config templates and validate against your SLA requirements across the Meraki product stack used in your environment.
What if site survey data is inconsistent across locations?
The agent flags anomalies and incomplete data for human review rather than generating a config from incomplete inputs. Exception handling is configurable during the onboarding process.