Client Background
A mid-sized IT consulting firm supports enterprises with cloud planning, migration, and ongoing optimization. Their clients use different cloud platforms, mainly AWS, Microsoft Azure, and Google Cloud. As part of proposals and early project planning, the team prepares Bills of Quantities (BOQs) and cloud cost estimates to help clients understand expected spending. To manage this, the firm needed a reliable multi-cloud pricing calculator that could simplify cost estimation across platforms.
Earlier, the team relied on spreadsheets and individual tools such as the aws cost calculator, azure cost calculator, and google cloud pricing calculator. While these tools worked, preparing consistent estimates across multiple clouds took time. The firm needed a simpler way to build accurate cost reports without repeating manual steps.
Challenges
The consulting team ran into several common issues:
- Creating BOQs for AWS, Azure, and Google Cloud took too long
- Comparing costs across cloud platforms was difficult
- Inventory files in Excel or CSV needed manual cleanup
- Small errors led to repeated revisions during client calls
- Pricing changed often, making older estimates unreliable
These challenges slowed down proposals and made cost discussions harder than they needed to be.
Solution
The firm adopted an AI-driven multi-cloud Pricing calculator or cloud cost calculator to simplify how estimates were created.
With this approach, consultants could:
- Choose the required cloud provider
- Upload client inventory files in Excel or CSV format
- Let the system review and organize the data
- Generate clear BOQ and cloud pricing reports in minutes
Because the calculator used live pricing, the team no longer had to cross-check numbers in separate tools like the aws pricing calculator or azure pricing calculator.
At Teleglobal, we help generate accurate cloud cost reports for AWS, Azure, and Google Cloud, making it easier for consulting teams to share clear and reliable estimates with clients.
Implementation
The consulting firm added the cloud pricing calculator to its regular pre-sales workflow:
- Inventory files were collected during early discussions
- Data was reviewed and standardized automatically
- BOQ and pricing reports were created for the chosen cloud platforms
- Reports were shared with clients for review and planning
This reduced the need for spreadsheets and cut down manual work.
Results
After using the solution, the firm saw clear improvements:
- Proposals were completed faster, often in minutes instead of days
- Cost estimates were more consistent across AWS, Azure, and Google Cloud
- Teams spent less time fixing pricing errors
- Clients felt more confident discussing budgets and options
- Consultants had more time to focus on advice and design
Conclusion
For IT consulting firms working with more than one cloud platform, cost estimation needs to be quick and reliable. By using a multi-cloud Pricing calculator or cloud cost calculator, this firm simplified its pricing process and improved the quality of client conversations.
This case study shows how the right tools can reduce manual effort and help consulting teams work more efficiently without overcomplicating the process.