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INVIGRID  ·  CUSTOMER CASE STUDY

Manual provisioning to scalable customer delivery - Software Engineering AI platform

 Infrastructure Automation and Faster customer onboarding

Manual provisioning to scalable customer delivery
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Provisioning

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Evidence of controls

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Reduction in time to value

ABOUT THE CUSTOMER

Industry : Technology / AI

Platform type :

Software Engineering Platform

InviGrid products used :
InviGrid Intelligent Cloud :
Build Engine, Monitor Engine

Compliance focus :
Security Best practices

Migration type :
Fast cloud deployments

Cloud environment : 
AWS, Azure, GCP

Target audience

AI/SaaS companies, CTOs, Infrastructure Leaders, DevOps teams

EXECUTIVE SUMMARY

A fast-growing enterprise AI company was onboarding new customers through manual infrastructure work. That slowed the path from signed contract to production and capped how many deployments the team could run at once. InviGrid automated the repeatable infrastructure steps behind onboarding, so customers went live and started realizing value sooner while the team could onboard more of them in parallel and the company could earn revenue sooner. Security and governance were built into every deployment automatically, with evidence of controls available from day zero and on demand for audits. That earned customers’ trust in the deployment process and helped the company close deals with confidence.

THE CHALLENGE

For the software engineering AI platform company, onboarding a new customer requires infrastructure to be provisioned, configured, and validated before the customer can go live. These steps were part of their established onboarding process, but the infrastructure work required manual execution by DevOps.

As the company looked to grow its enterprise business, the manual infrastructure work required during onboarding became a constraint on scale. Every additional step between signing a customer and getting them live delayed when the customer could begin using the platform and when the company could begin generating revenue. The same manual process also limited how many new customers the team could move through onboarding at once.

  • Manual onboarding slowed the path to production. Every new customer depended on manual infrastructure work, stretching the time between a signed contract and a live deployment.

  • Delayed go-live meant delayed value. The longer onboarding took, the longer customers waited to see value and the longer the company waited to earn revenue from each new deal.

  • Limited onboarding throughput:. Capacity was capped by the team. Manual processes limited how many deployments the team could support at once, so growth meant more hands rather than more throughput.

  • Enterprise customers expect proof, not promises. Customers wanted confidence in how their environments were deployed, security and governance that could be demonstrated, not just discussed.

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"With InviGrid, infrastructure is no longer the bottleneck between signing a customer, getting them live, delivering value and beginning earning revenue." 
- COO, Software Engineering Platform Company

THE INVIGRID SOLUTION

InviGrid Intelligent Cloud automated the infrastructure work required to move new customers from onboarding to production. Provisioning, configuration, and validation tasks that previously required manual DevOps work are now executed automatically with 1-click, with the company’s architecture, security, and governance requirements built into every deployment.

By reducing the manual work required for each customer deployment, the company can onboard more customers at the same time and get them into production faster, shortening the path from signed customer to earning value while allowing the onboarding process to scale with business growth.

  • Faster path to production: Automation reduces the infrastructure work required before a new customer can go live.

  • Faster time to revenue: Shorter onboarding means customers reach production and generate revenue can begin sooner

  • Built-in, not bolted on. Continuous drift monitoring, cost governance, and disaster recovery were engineered into the architecture itself - core capabilities, not add-ons.

  • Greater onboarding capacity: More customer deployments can move through onboarding without a corresponding increase in manual DevOps work

  • Consistent delivery: Architecture, security, and governance requirements are applied consistently across every deployment

InviGrid creates a governed deployment model based on the company’s existing infrastructure standards. Those standards become the foundation for how infrastructure is generated, provisioned, and maintained throughout each customer deployment.

  • Define the standard: Architecture, security, governance, and infrastructure requirements are established as reusable deployment standards.

  • Provision from requirements: Teams specify what a customer deployment needs, and InviGrid generates and provisions the appropriate infrastructure

  • Enforce controls by design: Security, policy, governance, and approval requirements are applied during provisioning, ensuring deployments meet approved standards from the start.

  • Evidence of controls on demand: Evidence of controls is available from day zero and on demand, giving the company a ready answer for audits and customer reviews.

  • Maintain continuously: After deployment, InviGrid validates infrastructure, detects drift, and remediates deviations to keep environments aligned with approved requirements.

"InviGrid enables our business growth and is our trusted scaling partner." 
- COO, AI LLM Startup

THE INVIGRID SOLUTION

By automating the infrastructure work behind customer onboarding, InviGrid Intelligent Cloud™ gives the company a faster, more scalable path from signed customer to production. Customers can go live and get value sooner, while the business can support greater deployment volume without the same increase in manual infrastructure work.

Operational Impact

  • Reduced deployment effort, repeatable provisioning, configuration, and validation tasks automated

  • Greater customer deployment capacity with existing resources

  • Architecture, security, and governance requirements consistently applied

  • Less reliance on manual runbooks and individual knowledge

Business Impact

  • Faster customer onboarding and time to production

  • Faster time to value to customer and accelerated time to revenue for company

  • A customer delivery model that can scale with business growth without a proportional increase in DevOps resources.

  • Evidence of controls that wins trust and confidence of customers

"With InviGrid, infrastructure is no longer the bottleneck between signing a customer, getting them live, delivering value and beginning earning revenue. InviGrid enables our business growth and is our trusted scaling partner." 
- COO, AI LLM Startup

InviGrid Intelligent Cloud

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