Developed by MCL Systems, Cadebill is a smart, fully integrated billing and convergent charging solution for the telecom industry. Specifically designed for use by telephone companies, cable companies, wireless companies, Internet service providers (ISPs), and local telephone companies, Cadebill offers a wide range of tools that help telecom businesses to efficiently provide innovative products or services to the market, promote faster rollouts with better accuracy, eliminate redundancy, and streamlines and automates common operational processes to reduce CAPEX/OPEX with lower total cost of ownership (TCO) and higher return on investment (ROI). Key features include inventory management, chargeback tracking, call system integration, customer relationship management (CRM), call rating, and more.
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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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ChargeSentry
Never respond to another chargeback! Stop wasting your time responding to chargebacks or losing money. ChargeSentry wins back your revenue automatically!
1. Simple transparent monthly pricing
2. No Integration required - Instantly connect your merchant account
3. Fully automated - We enrich and respond to your chargebacks automatically.
We back our service with a risk-free guarantee - If we don't win the value of our subscription, you get your money back!
Responding to your chargebacks is clumsy and time-consuming. Ineffective responses and lack of proper evidence cause poor results. Other chargeback response services require long contracts, lengthy integration, and usually still require you to do something.
We started ChargeSentry to help small and medium-sized e-commerce merchants, just like you, eliminate the friction of responding to your chargebacks and ending revenue loss.
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