
FinOpsly is an AI Cost Governance platform. It brings AI, cloud, data platform and SaaS spend into one attribution, policy and control layer, so enterprises can price a workload before building it, attribute every dollar to an owner, hold spend inside budget under policy, and prove what landed in run-rate.
Your AI invoice is not what your AI costs. One request draws on model tokens, retrieval, warehouse queries, GPU capacity and storage, and only the first shows up on the AI bill. FinOpsly resolves all of it, plus the seats in procurement and the compute in an untagged cloud account, to the same dimensions: owner, team, application, line of business, customer and tenant. An AI initiative's full cost becomes one figure, charged back through one hierarchy in one cycle.
Workforce AI is the tools employees use: seats and per-user token draw across GitHub Copilot, Cursor, ChatGPT Enterprise and Microsoft 365 Copilot. Application AI is the AI your product ships: tokens, compute and data joined into cost-to-serve across OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex AI, SageMaker and Databricks.
PLAN. Price a workload from its architecture before any resource exists, across model APIs, GPU capacity, data platform consumption and storage, with assumptions visible. Compare it across candidate models on your measured usage.
EXPLAIN. Attribute spend to owner, team, application, line of business and business unit across 9+ hierarchy levels. Unified tagging reconciles providers that tag inconsistently, and AI-driven bulk labeling closes large key estates. Unattributed spend is reported in dollars.
ACT. Budgets per project, team and API key, with daily burn-rate monitoring. Anomaly detection with root cause, routed to the owner. Waste detection using FinOpsly's own algorithms and ML models. Commitment planning across AWS, Azure and Google Cloud. Policy-driven parking of idle compute.
PROVE. Chargeback across AI, cloud, data and SaaS in one cycle. Realized savings tracked into run-rate against a no-action baseline. Cost per call, cost per active user, and cost-to-serve per customer and tenant.
proof: 100% attribution of AI spend; chargeback from 12.4 days to under one day across 9+ levels; 26% realized savings in AWS and 17%+ in Azure at a payments client.
Built for CIOs, CTOs and platform leaders accountable for technology spend, FinOps and finance teams running chargeback, and engineering teams who need cost signal before they decide
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SmartDraw makes professional drawings and diagrams accessible to everyone. Non-technical users can quickly create floor plans, while professionals get the precision and scale they require. With industry-leading floor planning tools and an intuitive interface for traditional diagramming like flowcharts and organizational charts, SmartDraw delivers enterprise-ready power without unnecessary complexity.
Key features:
- Large collection of symbols and templates
- Ability to create custom shapes
- Import PDFs, images, Google Maps, Visio files, Visio stencils
- Draw to any scale
- Enrich drawings with data
- Generate manifest and bills of materials
- Generate diagrams from data automatically like org charts, AWS, Azure, PI Boards, and more
- Use natural language text prompts to generate diagrams with AI
- Save files directly to OneDrive, SharePoint, or Google Drive, or other preferred provider
- Integrations with the Microsoft and Google enterprise stack plus Confluence and Jira
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Pencil
Pencil.dev is an AI-powered design-in-code canvas and creative tool that brings visual interface design directly into development environments like Cursor, VS Code, and other IDEs so designers and engineers can work without handoffs between tools. Built around an agent-driven MCP (Model Context Protocol) canvas and an open design format that lives in your codebase, Pencil lets you draw, iterate, and generate pixel-perfect UI screens with AI assistance while keeping the design files versioned in Git alongside your source code, enabling branches, merges, and rollbacks like regular code. It eliminates the friction of switching between tools by embedding a Figma-like canvas into the IDE, supports importing frames and assets from Figma with vectors and styles intact, and lets you manipulate design elements directly with familiar editing panels, layers, and CSS-like properties, while AI models help generate screens, flows, and components in parallel.
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