AWS FinOps Agent (preview)
Comprehensive, always-on cost expertise available to every engineer, delivered where they already work and backed by the data your FinOps team trusts.
Why AWS FinOps Agent?
AWS FinOps Agent brings specialized cost expertise to every engineer and fits the way your teams already work inside Jira and Slack. It also runs on the cadence the work demands: on a recurring schedule, when an anomaly is detected, or whenever an engineer asks a cost question. It draws on AWS Cost Explorer, Cost Anomaly Detection, Cost Optimization Hub, and Compute Optimizer, its answers reflect the same data your central FinOps team relies on.
Benefits
Investigate cost anomalies faster via Cost Anomaly Detection
The faster your teams can investigate cost anomalies, the faster they can determine whether those anomalies reflect positive business signals, like growth in a new workload, or opportunities to optimize your environment. A Cost Anomaly Detection alert tells you something changed. AWS FinOps Agent takes the next step automatically: it correlates the cost change with AWS CloudTrail events, identifies the change that drove the anomalies, and produces an investigation summary with the likely root cause and the responsible owner. Optionally, the agent can deliver the findings by opening a Jira ticket or posting to a Slack channel, so the engineer who owns the resource gets the context and can decide what to do next. To focus the agent on what matters most, you can include a filter in your automation prompt, for example, only investigating anomalies above a specific dollar threshold, so your team's attention stays on the highest-impact changes.
Put cost answers in the hands of every engineer
AWS FinOps Agent lets engineers ask cost questions in natural language and get answers using your actual cost and usage data. An engineer can ask, "Why did my AWS cost go up last month?" and get a response that identifies the cost changes, the contributing services, and the underlying usage drivers. To tailor the agent to your organization, you can upload context files such as account-to-owner mappings, team definitions, tagging conventions, and review cadences. The agent can leverage this context to interpret questions in your organization's terms, for example resolving "What's the cost of Team X?" to the specific accounts that team owns. Engineers get answers at the moment they need them, and your FinOps team can spend that time on strategic work.
Deliver reports tailored to each stakeholder
Schedule recurring cost reports (e.g., daily, weekly, monthly) rendered in a downloadable, presentation-ready format in html, pdf, or pptx.
Optimization opportunities from Compute Optimizer and Cost Optimization Hub in one place
Pull recommendations from AWS Cost Optimization Hub and AWS Compute Optimizer, and summarize them into a Jira ticket so the engineering team can pick up the work in the tool they already use.
Customers
Early customers are using AWS FinOps Agent to run recurring cost reviews, cost anomaly response, and engineer follow-through as continuous operations.
Workday is the enterprise AI platform for HR, finance, and IT. The AI Platform Infrastructure team runs Workday's AI platform on AWS.
“Our AI platform runs across many AWS accounts, and two things eat our team’s time: chasing down cost outliers before they become budget problems, and building the monthly cost reports our leadership reviews. The AWS FinOps Agent helps us do both in one place for our AWS environments. It surfaces potential cost anomalies with the context we need to act on them, and it produces the trend and spend views we used to assemble by hand. What used to take our team hours of manual dashboard work each month now starts from a natural‑language interface. That combination of anomaly detection and reporting in one place is why the agent has quickly become a core part of our cloud operations, not just another tool to maintain."
Serjesh Sharma, Manager, Software Development Engineering, Workday
Convera is a global leader in commercial payments operating in a regulated financial services environment.
"The challenge in our FinOps program is not the big optimizations — it is catching the small, unintended cost changes developers introduce before they compound. The AWS FinOps Agent handles that end-to-end: it detects the anomaly, investigates what changed, and creates a Jira ticket to the engineering team that owns the resource, so the right engineer sees it instead of a shared queue that nobody watches. For a fast-moving engineering organization, that closed-loop workflow is the difference between reactive monthly reviews and continuous cost governance."
Ramesh Singaraj, Infrastructure Engineering and Operations Leader, Convera
Mitre 10 is New Zealand’s largest home improvement retailer. Its platform engineering team is responsible for building and operating the AWS platform that underpins the company’s retail technology, while also managing cloud cost visibility and governance.
“Our platform engineering team plays a dual role. We build and operate the shared AWS platform that other teams run their applications on, and we’re also accountable for how we manage cloud spend. Historically, recurring cost reviews, anomaly investigations, and optimisation checks competed directly with reliability and improvement work.
What the AWS FinOps Agent introduces for us is the ability to define cost investigation and review workflows once, and have those checks run continuously in the background. Activities like identifying anomalies, spotting unused resources, or preparing regular cost insights no longer rely on someone remembering to run them. Instead, relevant findings are surfaced when there’s something that genuinely warrants attention.
For a lean platform team, shifting from manual effort to ongoing, contextual cost insights is a meaningful force multiplier.”
Eduard Kleynhans, Platform Engineering Manager, Mitre 10 New Zealand
AVIV Group operates leading digital real-estate marketplaces across France, Germany and Belgium. Its centralized FinOps team supports hundreds of AWS accounts spanning different business units plus multiple additional shared services.
"Our FinOps team supports hundreds of AWS accounts across different business units, and as we move from a purely centralized model to a hybrid model, our local teams take on more of their own cost work. The hardest part of that transition is that engineer questions such as the difference between on-demand and Savings Plan pricing, how a spend projection was calculated, why a cost anomaly fired, all route back to our small central team before the resource owners can act. The AWS FinOps Agent answers those questions directly for the engineer, grounded in our own account-to-business-unit context. That lets our central team spend its time on chargeback logic, optimization strategy and leadership reporting, rather than on the per-question back-and-forth. For a small FinOps team enabling a large organization, that is exactly the leverage we need to be as effective as possible.“
Jordi Espasa, FinOps Director, AVIV Group
Druva keeps thousands of businesses running by safeguarding data wherever it lives, mitigating data risks, and enabling quick, clean recovery.
"The AWS FinOps Agent has become our daily eyes on AWS spend at Druva. It surfaces anomalies before they compound, ties cost spikes directly to specific services and accounts, and delivers structured cost reports that would otherwise take hours to build manually."
Sabyasachi Nanda, Sr. Manager, CloudOps
Resources
Use cases
Cloud cost anomalies triage for a lean FinOps team
Your central FinOps team gets paged on cost anomalies, but tracing each one through Cost Explorer, CloudTrail, and tag data takes hours, and the engineer who actually owns the resource is two handoffs away. AWS FinOps Agent runs the investigation when the anomaly is detected, correlates the cost change with AWS CloudTrail events, identifies the change behind the anomalies, and creates the Jira ticket or sends Slack messages directly to the owning team. The on-call FinOps engineer reviews the ticket instead of opening the investigation.
Cost transparency for engineering teams in a hybrid FinOps model
You are moving from a centralized FinOps function to a hybrid model where engineering teams take on more cost accountability, but engineers need to route every question through your central team with explanations on understanding different terminologies. AWS FinOps Agent answers cost questions directly with explanations, identifying the cost changes, the contributing services, and the underlying usage drivers, so engineers get answers at the moment they need them and your FinOps team can spend that time on strategic work.
Cost reporting at the cadence your stakeholders need
Your leadership needs a monthly executive summary, business-unit leaders need weekly chargeback updates, and engineering managers need a daily view of their team's spend. Today, someone on your FinOps team rebuilds each one by hand from Cost Explorer screenshots. AWS FinOps Agent generates each report on its own schedule, renders it in a downloadable, presentation-ready format (html, pdf, or ppt), and delivers it to the right audience.
Surfacing Optimization recommendations
AWS FinOps Agent pulls recommendations from AWS Cost Optimization Hub and AWS Compute Optimizer, and summarizes them into a Jira ticket so the engineering team can pick up the work in the tool they already use.
FAQs
How does the FinOps agent work?
Ask questions about your AWS spend in natural language. The agent retrieves data from services, processes the results, and responds with answers based on your account data. The agent can break down spend by service, account, Region, or tag, compare time periods, and summarize Savings Plans and Reserved Instance utilization.
How can I investigate cost anomolies?
Ask the agent to investigate why AWS Cost Anomaly Detection anomalies occurred and perform root-cause analysis. The agent retrieves the anomaly details, analyzes the root causes ranked by cost impact, and presents its findings directly in the conversation.
The agent determines whether cost increases were driven by higher usage, higher rates, or both. When CloudTrail permissions are enabled, the agent searches CloudTrail event history for API activity correlated with the cost change.
How can I surface cost optimization recommendations?
Ask the agent to retrieve, filter, and present cost-saving opportunities from AWS Cost Optimization Hub and AWS Compute Optimizer. Each recommendation includes the affected resource, current and recommended configuration, estimated monthly savings, implementation effort, and implementation guidance.
The agent retrieves recommendations from two complementary sources. AWS Cost Optimization Hub aggregates optimization opportunities across your account and groups them by action type (rightsizing, idle resource deletion, Savings Plans, Reserved Instances, architecture migration). AWS Compute Optimizer provides resource-level recommendations for EC2, Auto Scaling groups, EBS, Lambda, RDS, and ECS, including utilization metrics and per-resource savings.
How can I generate cost reports?
Ask the agent to generate financial reports in natural language. The agent creates HTML, PDF, and PPTX reports with cost summaries, breakdowns by service, account, Region, or tag, trend analyses, month-over-month comparisons, and forecast projections. If you don't specify a format, the agent defaults to HTML.
Describe the report you want. The agent retrieves data from Cost Explorer and Cost Anomaly Detection, processes the data, builds charts, and assembles the report in the format you request. Reports include visual elements such as charts, stat callouts, comparison columns, and icon-annotated sections rather than plain text and bullet points. The agent runs a quality assurance pass that inspects the output for visual issues before delivering the final file. You can also upload sample reports as context files for the agent to replicate format and style.
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