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.

Are you using multiple GenAI service providers? The GenAI Lens gives you a comprehensive view of all your AI costs and usage across supported providers like OpenAI and Anthropic Claude, with support for Amazon Bedrock and Google Vertex AI coming soon.

Instead of switching between separate views or piecing together data from different sources, you can use the GenAI Lens to:

• Compare costs across different GenAI providers to identify cost-effective options for your use cases
• Track your GenAI spend trends across all connected providers in one place
• Identify usage patterns that indicate opportunities to optimize your provider and model mix
• Get token usage insights across all your connected GenAI services

To start understanding your complete GenAI picture, connect your OpenAI account(s) and/or Anthropic organization(s).

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

Are you building GenAI-powered features with Claude? You can now connect your Anthropic organization(s) to DoiT Cloud Intelligence™ and track your detailed Claude model costs and usage alongside your infrastructure cloud spend.

Once the integration is set up, you'll be able to explore your detailed Claude usage data in the GenAI Lens dashboard alongside any other GenAI services you use, and create custom reports to analyze your Claude costs and usage however you want.

Lastly, you’ll also be able to include Anthropic cost and usage data in new or existing Allocations and in many other DoiT Cloud Intelligence capabilities.

To get started, connect your Anthropic organization(s) in the DoiT console and read about how you can put this integration to use.

Questions about setting up the integration? 

• Check out the documentation, or 
• Follow along with our step-by-step setup tour.

The Anthropic cost and usage 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.

Starting today, the DoiT Cloud Intelligence console is available in Japanese, giving our customers in Japan full access to the platform’s features without language barriers.

Alternatively, you can manually set your preferred UI language in your DoiT user profile settings (found on the top right of the navigation bar).

We're excited to announce that Anomaly Detection for DoiT Cloud Intelligence™ now includes real-time detection of unexpected cost or usage changes on Google Compute Engine , in addition to its existing real-time capabilities for Amazon EC2 and RDS. 

Once real-time detection is enabled, DoiT Cloud Intelligence will notify you in less than 30 minutes after new cost anomalies are detected; this provides earlier detection than relying solely on billing data, where it may not appear for several hours or even days afterwards. 

Why it matters

This enhancement empowers you to address cost issues as soon as they appear.

• Early detection: Quickly identify and address cost anomalies before they balloon out of control, enabling more agile budget management
• Extra security: Benefit from an extra layer of financial security by monitoring cost anomalies as they occur, providing additional protection against unauthorized compute costs
• Optimized response: Real-time notifications allow you to take corrective actions promptly, protecting your bottom line
• Improved governance at no additional cost: Real-time anomaly detection uses your existing Cloud Logging audit logs, so you won’t see any additional charges on your invoice

What’s New

Google native cost anomaly detection relies on next-day billing data to trigger notifications. With DoiT Cloud Intelligence, the time lag on Google Compute cost anomalies has been dramatically reduced, with alerts now coming in within 30 minutes of identifying an anomaly. This advancement means fewer surprises and quicker, data-driven responses to unplanned cost escalations.

We will also be expanding this capability to other Google Cloud services in the coming months.

Getting Started

Real-time anomaly detection on Google Cloud requires enabling it in the DoiT Cloud Intelligence console, as well as granting access to your Google Cloud Audit logs (granting this permission must be done by someone with the ‘Organization Role Administrator’ IAM role in Google Cloud).

You can read more about the enablement process and the permissions required by consulting our Help documentation, or reaching out to your DoiT account team.

Real-time anomaly detection is available for DoiT customers with an active Enhanced, Premium, or Enterprise subscription.

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.