We’re excited to share that DoiT Cloud Intelligence™, our intent-aware automation-first FinOps platform, has earned the “Deployed on AWS” designation on AWS Marketplace. This confirms that our SaaS offering is fully hosted on AWS and aligned with the latest AWS Marketplace eligibility requirements.

Starting May 1, 2025, AWS requires that SaaS products be entirely deployed on AWS and carry the “Deployed on AWS” badge to qualify for spend retirement under Private Pricing Agreements (PPA). DoiT Cloud Intelligence™ meets these new criteria, meaning customers can continue retiring their PPA commitments when purchasing DoiT Cloud Intelligence via AWS Marketplace and retain the financial benefits included in those agreements. This update makes it even easier for AWS customers to adopt DoiT Cloud Intelligence while maximizing the value of their AWS commercial terms.

Make the cloud work. Without slowing down.

DoiT Cloud Intelligence™ is purpose-built for fast-moving teams operating in complex AWS environments. It provides real-time cost visibility, optimization insights, and policy-based automation to reduce waste and enforce standards at scale, without adding friction to your engineering workflows.

With CloudFlow™, you can codify FinOps practices, automate remediations, and integrate with your tooling, all while respecting your existing AWS architecture and operational velocity. DoiT Cloud Intelligence™ also includes real-time anomaly detection to catch cost spikes as they happen, Threads™  to drive accountability by operationalizing FinOps across teams, and PerfectScale™ to ensure your Kubernetes, Compute, and Spot infrastructure continuously self-optimizes for efficiency, performance, and availability.

Simplified procurement, aligned incentives

Through AWS Marketplace, customers benefit from faster onboarding, reduced procurement overhead, and the ability to align DoiT Cloud Intelligence spend with their existing AWS PPA, with full compliance under AWS’s updated guidelines.

What’s next

We’ll continue to deepen our integration with AWS-native services, expand automation capabilities, and provide the tools needed to scale FinOps maturity across organizations.

We're launching the DoiT Cloud Intelligence™ remote MCP server, making it easy for you to access your real-time cloud cost and usage data through AI assistants like Claude, ChatGPT, and Cursor. 

Anyone can now ask plain-language questions about their cloud usage, connect it to business context  — like “Can you connect our recent database cost spike to any Jira tickets?” (see example below 👇 ) — and get instant, context-rich answers.

What's different with remote access?

Our remote MCP server eliminates the technical setup that our previously-launched local version required, making conversational cloud cost analysis accessible to finance teams, executives, and other business stakeholders. 

Here's what makes the remote approach different:

• Easy setup: Connect AI tools to your cost data without any technical setup—no Node.js installations or configuration troubleshooting that come with locally-hosted MCP servers.
• Real-time data access: Our remote server maintains live connections to your DoiT Cloud Intelligence data, ensuring everyone accesses the same, current information without having to manually update to the latest version.

Democratizing cloud intelligence beyond technical teams

This remote approach brings cloud intelligence directly to non-technical roles across your company. 

And for even richer insights, you can connect with MCP servers from other tools you use (ex. Jira, Slack, GitHub) to understand the full business context behind your cost data:

Finance teams can analyze budget variance and forecast accuracy during monthly reviews.

For example: You can use Claude to get the full business context behind a 30% budget overrun highlighted in Budgets by connecting it to an approved GPU increase documented in Jira.

Product managers can evaluate feature profitability and unit economics for roadmap decisions.

For example: When analyzing a new feature costing $350/day (15% over budget), you can correlate it with performance issues listed in Jira tasks and Zendesk tickets and enable more-informed cost/performance trade-off conversations.

Operations teams can correlate infrastructure changes with spending pattern.

When you ask Claude about a 25% EC2 cost spike highlighted by Anomaly Detection, you can determine whether or not it was a planned scaling event by connecting it to a recent deployment in Jira and engineer discussions in Slack.

Ready to understand the full business story behind your cloud costs?  Connect to DoiT’s remote MCP server and start asking questions.

Starting from a blank report just got a whole lot easier.

We’ve integrated AI—directly into the new Report user interface to help you go from zero to insight in seconds.

You can use natural language prompts like:

• “Show my top five cost drivers across all projects for Q2 2025”
• “Break down Kubernetes cluster spend by namespace for the last 30 days”
• “Compare my costs for Compute Engine and Cloud Storage for the last 7 days.”

It understands your request, queries your billing data, and automatically generates the report visualization, all within the same view.

Once the report is ready, it leaves you with a fully interactive chart and all standard filters available to refine further.

This is just the beginning of AI in Cloud Cost Analytics, designed to accelerate and simplify complex report creation. More capabilities are coming soon.

Head to Analyze > Reports and try it for yourself.

DoiT Cloud Intelligence™ now offers new APIs to facilitate automated user management. Using our new Users API, you can get a list of your users, invite new users, and update or delete existing users.

When inviting new users with the new API, you can optionally assign a non-default role and an organization to them, which you can list with the new Roles and Organizations endpoints.

DoiT Cloud Intelligence™ now supports group-based SSO integration so you can automate user access management instead of configuring each user’s role and permissions individually. 

If your team structure is already defined in your SSO groups, you can directly map those same groups to DoiT Cloud Intelligence roles so your users will automatically have the correct permissions when they first log in.

To map your SSO groups to specific roles, navigate to your IdP or the “single sign-on” page in the DoiT console and map your current SSO groups (like "Engineering" or "Finance") to the corresponding roles you want users in those groups to have in DoiT Cloud Intelligence.

Previously, you could configure SSO integration by setting role attributes on individual users in your IdP, which worked well for simple setups. This new group-based approach scales much better for companies managing larger teams or complex permission structures.

With a group-based approach, new users will automatically get proper access from the start, ensuring consistent access control across your tools and removing any manual role assignment work on your part.

Managing cloud costs shouldn’t feel like detective work. That’s why we've made your home dashboard more actionable to deliver the critical information you need to act on—right when you log in.

The update transforms your cloud data into clear, prioritized actions so you spend less time investigating and more time optimizing your cloud investments.

Here’s how you can use the various widgets of your new home dashboard:

Immediate cost visibility:

• Preventable cloud waste: See exactly how much you're overspending and where to cut costs
• Insights awaiting action: View the dollar impact of recommendations you haven't acted on yet
• Actionable insights by cost impact: View cloud optimization recommendations prioritized by impact
• Commitments at risk: Anticipate and avoid penalties by quickly identifying commitment agreements at risk of shortfalls

Take action on cloud cost risks:

• Anomalies over the last 90 days: Address unexpected spikes with detailed breakdowns and optimization suggestions
• Acknowledged anomalies: Track what your team has already addressed to promote accountability
• Automate cloud waste: Identify opportunities to automate the optimization of cloud waste with DoiT CloudFlow
• Budget control: Visualize your budgets with progress charts and usage percentages, and act preventively to avoid overspending

Collaborate and get support:

• Expert inquiry access: Quick path to get help from DoiT cloud specialists and view open requests
• TV mode: Display key metrics in meeting rooms and shared spaces

With DoiT's updated home dashboard, you can quickly spot cloud cost risks, prioritize what needs attention, and automate optimization actions.

Check it out by clicking Home in the top navigation panel.

Commitment Manager gives you precise, flexible tracking of your cloud commitment attainment, helping FinOps, finance, and engineering teams plan cloud spend ahead of time to realize their contract discounts while avoiding shortfalls and penalties.

Cloud commitment contracts offer significant discounts that can dramatically reduce your infrastructure costs—but only if you consistently meet your spending targets.

Manual tracking methods often lead to delayed insights, making it difficult to course-correct before reaching important spending milestones and potentially resulting in missed commitment targets.

That’s why we’re announcing the launch of Commitment Manager, the evolution of Ramp Plans designed to give you a streamlined, flexible, and comprehensive visibility into your cloud commitments.

Key improvements include:

• Contextualized insights that account for marketplace consumption limits and your specific contractual terms.
• Enhanced visualization with daily updates, detailed service-level breakdowns for marketplace spend, and period-by-period commitment tracking.
• Greater flexibility to accommodate complex scenarios like contract amendments, promotional credits, and excess/shortfall rollovers.
• Track all your commitments in one place regardless of whether they were signed through DoiT or directly with cloud providers, giving you a single unified view of all your cloud commitment tracking.

Good news for existing Ramp Plans users: most commitment(s) have been automatically migrated to Commitment Manager, and you'll immediately benefit from the improved tracking and enhanced visualization capabilities without any action required on your part. If you do not see your commitment, reach out to your DoiT Account Manager to have it set up. 

If you have a direct commitment with a cloud provider or weren't previously tracking your commitments in Ramp Plans, create a new commitment in Commitment Manager to explore the full experience!

DoiT Cloud Intelligence's new OpenAI integration lets you see all your OpenAI and cloud costs in one place, making it easier for FinOps and engineering teams to track, manage, and optimize their complete technology investments

After connecting your OpenAI account(s), you can explore your OpenAI cost and usage in DoiT Cloud Intelligence™ in several ways:

1. OpenAI Lens: Ready-to-use dashboard providing a comprehensive overview of your OpenAI costs and usage with views into your cost by model, daily spend by project, and more.

2. Cost Allocation: Allocate your OpenAI spend by business purpose (production vs. development, product A vs. product B) using the new dimensions from the OpenAI integration — or combine OpenAI costs with your cloud and other imported costs in a single allocation for complete cost visibility across all your technology investments.

In the example below, we’re creating allocations that track OpenAI costs across development and production environments for two different AI tools: a customer assistant and a product description generator.

3. Custom Reports: Build reports querying the new dimensions and system labels imported through the OpenAI integration that help you understand aspects of your OpenAI spend and usage. 

For example, you can break down OpenAI spending by individual users across your organization to understand consumption patterns and implement appropriate quotas.

4. Anomaly Detection: Automatically surface unusual patterns in your teams’ OpenAI usage and take action before it impacts your bill and operations.

5. Unified view of IT costs: View OpenAI costs alongside your cloud costs and other imported 3rd-party tool costs (DataDog, Snowflake) in your Pulse dashboard, a preset dashboard giving you an at-a-glance view of all your cloud and 3rd party tooling costs together.

The OpenAI integration is available for all the customers on the DoiT Cloud Intelligence Enhanced or Enterprise tiers, as well as on the DoiT Cloud Navigator Enhanced, Premium or Enterprise tiers. 

To learn more about OpenAI integration please check out our documentation in the DoiT Help Center.

We have simplified the customer journey to request DoiT cloud expert advice to resolve your cost anomalies as they arise. Now, you can initiate a request for expert advice directly from the cost anomaly detail screen by clicking “Contact a human expert.” Once the support ticket is created, it can be tracked via view requests screen.

Why this matters for you:

Consulting-first mindset
DoiT's experts are on-hand 24/7 to get to the root cause of the anomaly, provide prescriptive actions to resolve the issue, and suggest architectural changes to prevent it from recurring. 

One-click simplicity
Clicking the contact button on the anomaly page brings you directly to the ticket creation screen, with the pertinent details of the anomaly already populated along with the standard option to schedule a 15-minute initial assessment call. 

The ability to consult with DoiT cloud experts is available for customers on the DoiT Cloud Intelligence Enhanced or Enterprise tiers, and those who have an active Cloud Navigator Enhanced, Premium and Enterprise subscription. Customers without a paid subscription can also raise individual tickets at a flat rate of $750 each. 

To learn more about DoiT Anomaly Detection, please refer to the documentation in the DoiT Help Center.

Getting timely and effective support is crucial—and we’re always looking for ways to make that easier for you. 

That’s why we’ve redesigned the support experience by deeply integrating Ava, our intelligent AI assistant, into the request process. This upgrade replaces the traditional multi-field form with a streamlined, single-page experience. 

Just describe your issue in plain language and Ava will pre-fill key fields based on what you enter, as well as prompt you to provide additional information if she thinks it’ll help resolve your issue or question faster.

• Simplified input: No more navigating dozens of fields and multiple pages. Now you can submit an expert inquiry request from a single page.
• Automatic classification & prioritization: Ava interprets your message to pre-fill key fields like severity, cloud platform, and product. You can always review and adjust.
• Context-aware guidance for faster resolution: Ava proactively identifies the technical details needed (such as ARNs, instance IDs, or resource names) while you're writing your ticket description. This eliminates time-consuming back-and-forth exchanges, dramatically speeding up the resolution process.

Ready to experience the new support flow? Select Expert inquiry from the top navigation bar next time you have a cloud-related issue or question you’d like our Customer Reliability Engineers or Product Support team to help you with.