Mavvrik Launches Embedded Financial Control for AI, Cloud, SaaS, and On-Prem 

AI Costs Are Multiplying Faster Than They Can Be Governed

AI costs are quickly becoming one of the fastest-growing line items in IT budgets. From pooled LLM bills to scattered GPU usage, finance and engineering teams are left stitching together spreadsheets at month-end to understand overruns — when they should be making real-time investment decisions.

Today at Trace3 Evolve, Mavvrik launched Embedded Financial Control, a new way to govern infrastructure costs before they hit the ledger. By capturing usage where it originates — tokens, jobs, GPUs, APIs, and SaaS consumption — Mavvrik delivers a unified version of the truth across AI, cloud, SaaS, and on-prem.

AI costs are quickly becoming one of the fastest growing line items in IT budgets. From pooled LLM bills to scattered GPU usage, finance and engineering teams are left stitching together spreadsheets at month-end to understand overruns when they should be making real-time investment decisions.

Today at Trace3 Evolve, Mavvrik launched Embedded Financial Control, a new way to govern infrastructure costs before they hit the ledger. By capturing usage where it originates, including tokens, jobs, GPUs, APIs, and SaaS consumption, Mavvrik delivers a unified version of the truth across AI, cloud, SaaS, and on-prem.

With this announcement, Mavvrik is also unveiling two major updates:

• The Mavvrik Agentic Cost Intelligence SDK, which embeds cost attribution into every AI agent.
• Flexible delivery models that allow MSPs, resellers, and distributors to deliver Mavvrik as-a-service, while product teams can embed financial control directly into their platforms.

Why It Matters Now

2026 budgets are being set today, and executives are working to determine which AI initiatives should be funded and which should be cut. Embedded cost control has become a requirement as companies face:

• Uncontrolled agent growth. PwC reports that 79 percent of enterprises are already deploying AI agents, and projections suggest the average company may soon manage tens of thousands. Without attribution, ROI and accountability disappear.
• Hybrid complexity. 61 percent of companies already run AI across public and private environments, with 67 percent planning to repatriate workloads.
• Enterprise accountability. Product teams, MSPs, and resellers all need to protect margins, allocate costs fairly, and decide which AI initiatives to scale and which to stop.

How It Works

Mavvrik embeds financial control directly into usage streams, turning cost signals into real-time financial truth.

• Capture any signal: tokens, jobs, GPU hours, SaaS consumption, or agent activity.
• Normalize and attribute: unify formats across providers and allocate costs by customer, SKU, team, workflow, or region.
• Govern in real time: apply budgets, alerts, chargebacks, and guardrails before costs spiral out of control.

The Mavvrik Agentic Cost Intelligence SDK

The Mavvrik Agentic Cost Intelligence SDK, built on the OpenTelemetry standard, is the newest addition to the Mavvrik platform. Developed using open standards, the SDK automatically meters prompts, tokens, and service calls, tagging usage with business context and streaming data into enterprise observability stacks.

Business outcomes include:

• Agent-level ROI clarity: know which agents deliver value and which drain margin.
• True cost-to-serve: measure cost per session, resolution, or feature.
• Protected margins: eliminate surprises and model ROI before scaling.

Top Use Cases

Companies around the world rely on Mavvrik to bring real-time financial governance to AI, cloud, SaaS, and on-prem environments. By creating a single source of truth for cost, margin, and accountability, Mavvrik enables outcomes that matter most to finance, product, and engineering teams.

• Cost-to-Serve: Give product, finance, and engineering teams a clear view of profitability by customer, product, feature, or workflow, so investment decisions are based on facts instead of assumptions.
• GPU Chargeback: Track usage and allocate GPU costs precisely across teams or customers, recovering spend and unlocking new revenue streams from excess capacity.
• AI Cost Management: Consolidate and normalize tokens, requests, and adjacent data platform usage into one consistent model for forecasting, budgeting, and accountability.
• Azure Tier-2 Visibility: Provide tenant-level cost clarity for resellers and distributors, closing a long-standing gap in the CSP model and protecting partner margins.
• Agentic ROI: Use the new Mavvrik Agentic Cost Intelligence SDK to attribute costs at the source of every agent interaction, making it possible to measure ROI, protect margins, and decide which agents should scale and which should stop.

Flexible Delivery and Partner Benefits

Whether you are an enterprise product team, an MSP, or a reseller, Mavvrik offers flexible models to embed financial control at the source.

• As-a-Service: Delivered by MSPs who layer governance services on top of the Mavvrik platform, giving customers rapid results with ongoing support.
• Through Resellers and Distributors: Offered as a packaged solution that closes long-standing visibility gaps, especially in Tier-2 models.
• Embedded via SDK: Product teams and AI builders can integrate cost attribution directly into their platforms and agents using Mavvrik’s new OpenTelemetry-based SDK.

For partners, these models open new value streams:

• MSPs and distributors can package cost telemetry and governance as part of their offerings.
• Tier-2 resellers gain tenant-level visibility that closes a long-standing gap in the Azure model.
• GPU hosts can monetize excess capacity by invoicing directly off real-time usage.

Executive Perspective

“AI is not just about performance anymore, it is about profitability. By embedding financial control directly at the source, Mavvrik gives partners and enterprises the clarity to protect margins, allocate costs fairly, and scale AI with confidence,” said Sundeep Goel, CEO of Mavvrik.

In the early days of SaaS, companies differentiated on features. In the early days of cloud, they differentiated on scale. In the era of AI, companies must differentiate on financial control. Mavvrik is embedding that control where it matters most.

FAQ: Embedded Financial Control for AI

What is Embedded Financial Control?
It is an approach to managing IT costs that captures spend where it originates. By embedding financial governance into workloads, agents, and platforms, Mavvrik provides a real-time, unified version of the truth across AI, cloud, SaaS, and on-prem.

How is this different from traditional cloud cost management?
Cloud cost tools were built for predictable VM usage and invoices. AI and hybrid environments introduce dynamic, fragmented costs like tokens, GPUs, and agent activity that must be tracked in real time at the source.

Who benefits from Embedded Financial Control?
Enterprises, MSPs, resellers, and AI builders. Finance and engineering teams gain the same view of costs, partners can protect margins and launch new services, and builders can align pricing and accountability to actual usage.

What is the Mavvrik Agentic Cost Intelligence SDK?
The SDK is built on the OpenTelemetry standard. It embeds attribution into every AI agent by metering prompts, tokens, and service calls, tagging usage with business context, and streaming data into enterprise observability stacks.

What use cases does Mavvrik enable?
Key outcomes include Cost-to-Serve, GPU Chargeback, AI Cost Management, Azure Tier-2 visibility, and Agentic ROI. Each ensures organizations can protect margins, allocate fairly, and scale AI with confidence.