Corelayer vs FinOpsly (2026)

Corelayer has an integration catalog with a page per connector, covering AWS, GCP, Cloudflare, Oracle Cloud, Datadog, Sentry, GitHub and GitLab, Slack, Microsoft Teams, ClickHouse, PlanetScale, Airflow, Trigger.dev, Vercel, incident.io, Merge and a custom webhook. Agents take authenticated action by opening pull requests in GitHub and querying production databases.

SourceCorelayer, docs.corelayer.com integrations section and corelayer.com FAQread 2026-09-06

Named connectors cover cloud providers (AWS, Azure, Google Cloud), data platforms (Snowflake, Databricks, BigQuery), monitoring (Datadog), developer tools (GitHub, Cursor), Kubernetes and ticketing (Jira, ServiceNow). On the AI side they cover OpenAI, Amazon Bedrock, Azure OpenAI, Vertex AI, GitHub Copilot, Cursor and ChatGPT Enterprise, and Microsoft Teams and GitHub Copilot also serve as agent surfaces. FinOpsly writes into the customer's systems.

Right sizing is raised as a change in Jira or ServiceNow and tracked to done, schedule based parking powers down non production resources off hours and brings them back on time, and the CI status check writes a merge verdict into the customer's code host. FinOpsly plans commitments but the customer purchases them, since commitments cannot be reversed, and for right sizing FinOpsly initiates while the customer's systems execute. FinOpsly reads from more systems than it acts in, and the model providers named here are cost lines it governs, not models it runs. There is no integrations catalog, connector count or custom connector option.

Sourcefinopsly.com homepage connector strip, AI/Cloud/Data pillar panels and optimizer flowread 2026-09-14

Investigations run end to end without a prompt. Sub agents filter noise and false positives, a deep research agent maps the environment, and the investigation agent traces an anomaly through pipelines and deploys to a root cause, groups related issues by blast radius and can open a pull request with the fix.

SourceCorelayer, corelayer.com and docs.corelayer.comread 2026-09-06

One governed control loop runs across AI, cloud and data, in which FinOpsly plans, explains, acts and proves, continuously. Each of the four stages has its own components: Plan (Costix, FI Pulse), Explain (Ask FI, FI Teams), Act (Optimizer, Radar) and Prove (Realized Savings, Chargeback). The loop closes, because realized savings are re-baselined into the run rate, which feeds the next plan.

FinOpsly calls its multi agent architecture a system of action, in which AI agents handle pattern recognition, forecasting and anomaly detection while teams keep full control over decisions. Radar detects, the Optimizer ranks and initiates, Ask FI answers and Costix estimates. Work crosses systems with its state carried along.

A wastage finding becomes a right sizing recommendation, is raised in Jira or ServiceNow and tracked to done, and the closed ticket is folded back into the realized savings baseline. Budgets, caps and guardrails by team, app and environment decide what proceeds, and the CI gate blocks or clears a merge on a threshold. There is no workflow builder, canvas, named runtime, BPMN, graph or versioning, so the customer sets policy thresholds and schedules but not the sequence.

Sourcefinopsly.com homepage governed control loop and four pillars, optimizer ticket flow, marketplace.microsoft.com multi-agent architectureread 2026-09-14

Agents pick up work from continuous monitoring of logs, metrics and data, from alerts pushed by Datadog, Sentry, incident.io and any monitoring tool through a custom webhook endpoint, from scheduled consolidation of resolved issues, and from ad hoc requests in Slack, Microsoft Teams, the CLI and the MCP server.

SourceCorelayer, docs.corelayer.com integrations and corelayer.comread 2026-09-06

Work reaches FinOpsly in three ways. Anomalies and threshold breaches start work. FinOpsly catches wastage and anomalies and acts under policy, Radar is a named detection module with its own product page, the AI pillar alerts on runaway usage, and the aim is to catch a spend movement before the commit, not after the invoice. Parking runs on a calendar, powering down non production resources off hours and bringing them back on time, with a worked schedule of Monday to Friday 8pm to 7am plus weekends and automatic un-parking.

A pull request in the customer's code host also starts work, since FinOpsly runs as a required check on every pull request, and engineers can run finopsly cost plan from their terminal. Ask FI in Teams and GitHub Copilot, the IDE cost lens and the dashboards are where output appears, not how work arrives. There is no webhook endpoint, cron syntax or event subscription model, so these triggers are known from product behavior, not from a named interface.

Sourcefinopsly.com homepage Act pillar, shift-left CI gate and parking schedule panelsread 2026-09-14

A maintained context graph, the Production Cortex, maps code, databases, deployments and observability across the customer's environment and is explored and updated continuously, giving every investigation grounded context with citations back to logs and code. The organization's learned memories are kept apart from this graph.

SourceCorelayer, corelayer.com and docs.corelayer.comread 2026-09-06

The central claim is one model across the AI and SaaS platforms a customer already runs, with one policy set, not three tools stitched together. Spend from AI tokens, cloud compute and data warehouses is normalized into a single cost to serve figure. Attribution threads every dollar from the app down to a single user across tokens, compute and data, then rolls it back up to the customer, and a worked example attributes $7.46 per user per month across three cost classes. Ask FI queries this data in natural language.

There is no index, graph or embeddings layer, and FinOpsly does not describe how Ask FI reaches an answer. The data model holds the customer's cost data, which the product exists to analyze, not a knowledge layer over the customer's own knowledge. Automated cost allocation with no dependence on tags suggests inference over resource relationships, but the mechanism is not described.

Sourcefinopsly.com homepage one-model and cost-to-serve panels, cost lineage worked exampleread 2026-09-14

Organization Memory is scoped to the organization and isolated per tenant, with each memory anchored to a specific resource or held organization wide. Memories come in four typed kinds (failure pattern, preference, fact and decision) and are kept canonical rather than as a log. They are created from issue feedback, chat instruction and incident consolidation, decay in influence with age, and can be read, edited, archived and restored from the Cortex view. Each memory is managed independently of the incident record it came from.

SourceCorelayer, docs.corelayer.com/memory/overview; docs.corelayer.com/memory/overview.mdread 2026-09-06

The agents hold conversation state within a session and nothing beyond it. Ask FI answers in Microsoft Teams and GitHub Copilot, and a worked exchange shows a question, an answer and a follow up option, Break down by user. Billing history is the customer's business record that the product analyzes, not agent memory, and deleting it would delete what the platform reports on.

Realized savings are re-baselined quarterly so future savings are measured against the current run rate, an accounting adjustment, not state an agent reads to decide. There is no memory layer with a set scope and lifetime, no retention period or purge path, and no way for an agent to carry context from one run to the next. The MCP surface is read only, and nothing says Ask FI remembers earlier questions.

Sourcefinopsly.com homepage Ask FI Teams exchange, Prove pillar re-baselining panelread 2026-09-14

Engineers validate and continue agent investigations in the browser, close or reopen issues with feedback that the platform reads as instruction, and are asked to confirm when a new instruction contradicts an existing memory instead of having it overwritten. Production access is read only by design with PII masking, and preflight is advisory and never blocks a push. Pull request creation is optional, and the review gate on a pull request belongs to GitHub.

SourceCorelayer, docs.corelayer.com/memory/overview and corelayer.com; docs.corelayer.com/memory/overview.mdread 2026-09-06

Every agent action goes through policy governed, human in the loop approval and can be rolled back, so a person validates before the commit and there is no autonomous path around it. FinOpsly draws the boundary itself in two places. For commitments, it is a scenario planner that models and risk scores coverage but does not buy commitments for the customer, because commitments cannot be reversed, so the modeling happens before the customer commits in its own account.

For right sizing, FinOpsly raises a change in Jira or ServiceNow and tracks it to done, and the customer's systems apply it. Parking, the one automatic path, runs on a policy schedule the customer approves and un-parks automatically. Every action is explainable, bounded by policy and reversible, under what FinOpsly calls Value-Control, and budgets, caps and guardrails by team, app and environment sit on top. There is no approval queue screen, approver role model or escalation path.

Sourcefinopsly.com homepage governed automation item, commitment planner and optimizer disclaimers, Act pillarread 2026-09-14

SOC 2 Type II is in place, with a trust center at trust.corelayer.com, and customers get SSO, RBAC and SCIM provisioning, plus configurable PII masking, zero data retention by default and read only access to production data. Audit logs and on prem and BYOC deployment are also offered.

SourceCorelayer, corelayer.comread 2026-09-06

Role based access control offers granular permissions by function and scope across finance, product and engineering, with least privilege by default, and SAML or OIDC single sign on comes with centralized user provisioning and deprovisioning. The agents are permission aware, so Ask FI and the other agents respect each user's data boundaries with no data leaking across scopes, and an agent takes on the asking user's scope instead of holding its own.

A SOC 2 certified badge sits in the footer beside the FinOps Foundation member badge. The Azure Marketplace listing says all actions are logged and exportable for SOC 2 and ISO 27001 audits, which supports the customer's own audits and does not mean FinOpsly holds either certification. Encryption and tenant isolation support this. FinOpsly gives no SOC 2 type, auditor, report date or trust center, and has no security page beyond a six item block on its homepage.

Sourcefinopsly.com homepage enterprise-grade block and footer trust badgesread 2026-09-14

Every investigation records its steps and cites the logs and code behind each finding, audit logs are among the enterprise controls, and a detailed audit trail covers every action the agent takes, with citations and explanations. That per action record lets a team reconstruct what the agent did.

SourceCorelayer, corelayer.com and docs.corelayer.comread 2026-09-06

Every change, approval and automated action is logged, attributed and reversible in an audit ready history. That covers changes the platform made, approvals people gave and automated actions it took, and because each entry names who or what did it, a reader can reconstruct why. Every action is explainable, bounded by policy and reversible under Value-Control, and undoing an action relies on a record of exactly what changed. Right sizing raised in Jira or ServiceNow and tracked to done gives each recommendation a ticket, an owner and an end state outside the platform as well as inside it.

The Prove pillar folds every executed plan and closed ticket into the run rate, which is then re-baselined. More than twenty cost data views, anomaly dashboards and root cause diagnostics report on the customer's spend, not on the agent. There is no stated retention period, export path, trace view for each run or admin view of activity across users, and the audit history is a one line item in a security block, not a documented feature.

Sourcefinopsly.com homepage audit-ready history item and Value-Control line, optimizer ticket flowread 2026-09-14

Corelayer deploys into the customer's own cloud (BYOC) or on premises so production data never leaves the environment, with confidential compute as a secure inference option, alongside Corelayer's hosted cloud.

SourceCorelayer, corelayer.comread 2026-09-06

Data security and isolation cover encryption in transit and at rest, tenant isolation and configurable data residency controls, and that is all FinOpsly says about where data sits. No region is named, there is no VPC, private cloud, on premises or customer tenant option, and FinOpsly does not show where residency is chosen or what the choices are. Tenant isolation separates customers inside FinOpsly's own estate and does not let a customer choose where the software runs. The product can be bought through the Microsoft Azure Marketplace, which is a way to purchase, not a way to deploy.

Sourcefinopsly.com homepage enterprise-grade block, data security and isolation itemread 2026-09-14

The specialized sub agents for noise filtering, grouping, deep research and investigation run inside the platform and are not chosen by the customer. The per connector integration pages and the installable Corelayer skill for coding agents are configuration and tooling, and no template or agent catalog is published.

SourceCorelayer, corelayer.com and docs.corelayer.comread 2026-09-06

Six named products appear under Product in the site footer, each with its own page under /product/. They are Costix, ASK FI, Spendsight, TrueCost Optimizer, Radar, and Budgets & Forecasting. Two carry trademark marks, and Costix also runs on its own subdomain, costix.finopsly.com, as a FinOpsly module with its own pilot access program.

Each does its own job, pre build estimation, natural language querying, cost analysis, optimization, anomaly detection or forecasting, and each works without the others, so Costix still estimates an architecture's cost without Radar, and TrueCost Optimizer still ranks rate and usage optimizations without Spendsight. The four pillars, Plan, Explain, Act and Prove, are the platform's loop, not products. FinOpsly publishes no pricing for each module and does not say whether one can be bought without the others.

Sourcefinopsly.com footer product menu, costix.finopsly.com module descriptionread 2026-09-14

Customers can bring their own key and use a custom gateway, and inference can run through a company's own LLM gateway or licensed model providers, with confidential compute as a secure inference option. Customers therefore control which provider serves inference, though there is no model picker in the product.

SourceCorelayer, corelayer.com and corelayer.com/guides/platforms-ai-on-call-engineers-2026read 2026-09-06

No model is named for FinOpsly itself, and there is no model routing. The many model providers on its site, OpenAI, Amazon Bedrock, Azure OpenAI, Vertex AI, GitHub Copilot, Cursor and ChatGPT Enterprise, covering inference, embeddings, fine tuning and agent calls, are cost lines in the customer's AI estate that FinOpsly governs, not models that run FinOpsly.

Ask FI and the FI agents are described by what they do, as an MCP agent and as permission aware AI that respects each user's data boundaries, with no provider, family or version named for the platform's own reasoning. Customers cannot choose a model, with no model selector, setting for each agent or bring your own key path. So on a product about AI spend, a customer cannot learn what its cost governance agent costs to run. The compliant LLM framework language describes data handling, not which model is used.

Sourcefinopsly.com homepage AI pillar and Ask FI panels, marketplace.microsoft.com FinOpsly listingread 2026-09-14

Corelayer exposes a V1 REST API (api/v1) for issues, groups, integrations, events, anomaly configs, deep research and settings, with API key authentication, RBAC and per key rate limits, shipped in v1.3.0. Alongside it are a CLI package, an SDK for custom metrics and an MCP server through which outside agents read issues and organization memory and run preflight.

SourceCorelayer, docs.corelayer.com/changelog/march-2026 and docs.corelayer.com/memory/overview; docs.corelayer.com/changelog/march-2026.mdread 2026-09-06

Two surfaces let an outside caller reach FinOpsly. Ask FI is an MCP agent, so anyone can pull the same number in plain English without opening a dashboard, in Microsoft Teams or inside a customer's own assistant, where it is marked as the same agent in GitHub Copilot, over MCP and read only. A CLI shows a real invocation, ~/infra $ finopsly cost plan, which returns an estimate and a budget verdict, and the same intelligence runs as a required status check in CI.

No API or SDK sits behind them. The footer has Product, Resource and Company columns with no developers or documentation entry, and docs.finopsly.com exists but its search preview shows marketing copy, not a reference. There are no published endpoints, authentication details or ways to write into FinOpsly from outside, and read only is a scope, not an authentication scheme.

Sourcefinopsly.com homepage Ask FI MCP panel and CLI panel, footer navigationread 2026-09-14

Corelayer offers no evaluation harness, scored test cases, quality gate or controlled optimization loop for its agent. A learnings and feedback loop feeds the organization's memory, and preflight checks the customer's pull request against that memory. The ROI calculator on the site estimates return on investment and does not test the agent.

SourceCorelayer, docs.corelayer.com/memory/overview and corelayer.com; docs.corelayer.com/memory/overview.mdread 2026-09-06

After deployment, FinOpsly checks its own decisions against what would have happened without them. The Prove pillar tracks realized savings, not projected ones, folding every executed plan and closed ticket into the run rate and re-baselining it, and charts a no action baseline against the actual run rate and realized savings, re-baselined quarterly. Savings are validated through telemetry before they are recorded. Because the baseline asks what the bill would have been had the system done nothing, the comparison measures the agent's decisions.

In the release path, FinOpsly prices a Terraform plan as a required status check on every pull request, so without a green estimate there is no merge, though what that tests is the customer's infrastructure code. There is no test harness, scored test case, A/B comparison between agent setups or accuracy measure for Ask FI's answers. Forecast versus actual comparisons measure the customer's spend, not the agent.

Sourcefinopsly.com homepage Prove pillar and realized savings chart, shift-left CI gate panel, marketplace.microsoft.com telemetry validationread 2026-09-14

Agents reach systems through integrations, APIs and a CLI, and do not control a browser, desktop or computer.

SourceCorelayer, corelayer.com and docs.corelayer.comread 2026-09-06

No agent drives a hosted or local browser, desktop session or remote computer. Every action path is programmatic. Billing and usage come in through cloud and SaaS connectors, right sizing is raised as a ticket in Jira or ServiceNow, parking runs on a policy schedule against cloud resources, and a cost verdict is written into a CI status check. The surfaces that look like interfaces are places a person works.

The IDE cost lens shows an estimate beside Terraform in the engineer's editor, Ask FI answers inside Microsoft Teams and GitHub Copilot, and the CLI runs in the engineer's terminal, so in each case a person is at the keyboard and FinOpsly supplies a number. A CLI or shell is not computer use, nothing targets a UI element, and pulling billing data from AWS, Azure, Snowflake and the rest is ingestion.

Sourcefinopsly.com homepage shift-left IDE and CLI panels, Ask FI surfaces, optimizer execution boundariesread 2026-09-14