Meet Finch

Hire Finch, your AI FinOps Employee.
Not another agent.

Finch knows your product, your teams, and your numbers. So it can tell growth from waste, ask the right owner, and follow through. Nothing touches production without a human yes.
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See Finch at work
#finops
TODAY
Elena Ruiz8:45 AM

@Finch close is Friday. I need August cloud spend vs budget by team, with a note on anything more than 10% over.

FinchAPP8:45 AM
August cloud spend: $412,300 vs $395,000 budget, 4.4% over

Two teams are over, and both were planned. Here is the breakdown.

  • Data Platform: $148,200, 18% over. Snowflake migration approved by Mark K. in July, finishes Sep 15.
  • ML: $96,400, 11% over. GPU training for the AI Assistant launch, on the roadmap for October.
  • Core Services: $121,700, 3% under. Commitments and off-hours schedules working as planned.
  • Everything else: $46,000, within budget.

Net of commitment discounts, September is tracking to $405,000. The full report has per-team detail, tag coverage, and journal-ready totals.

Post to #finance-closeExport to SheetsMake it monthly
Confirmed by Elena R.
Elena Ruiz8:52 AM

@Finch Post it to #finance-close and send it on the 1st of every month.

FinchAPP8:52 AM
On it

Building the close package: spend vs budget by team, variance notes, and journal-ready totals. Setting the monthly schedule.

Done

Report posted to #finance-close with the Google Sheet linked. You will get the same package on the 1st of every month at 8 AM, and I will flag any variance over 10% the day it appears.

ReportPosted to #finance-closeVariance notes2 planned, 0 unexplainedRecurring1st of month, 8 AMForecastSeptember $405KExportGoogle Sheet linked
✅ 3🙌 2
TODAY
Priya Nair4:10 PM

@Finch board meeting Thursday. What is cloud cost as a percent of revenue, and cost per customer, for the last two quarters?

FinchAPP4:10 PM
Cloud is 14.2% of revenue this quarter, down from 17.8%
14.2%of revenue, Q3
$31cost per customer, from $38
61%gross margin, AI Assistant tier

Revenue grew 22% while cloud spend grew 6%, so both measures improved. Three things drove it:

  • Commitments: coverage 64% to 82%, $9,850 a month
  • Rightsizing: across Core Services, $14,200 a month
  • Off-hours schedules: on staging and dev, $6,900 a month

One flag for the deck: cost per customer on the Enterprise tier is flat, because dedicated clusters scale with each account.

Send slide-ready summaryAdd the trend chartCompare to last year
Confirmed by Priya N.
Priya Nair4:16 PM

@Finch Send the summary to #board-prep with the chart. Same numbers every quarter, please.

FinchAPP4:16 PM
On it

Preparing the slide-ready summary with a six-quarter trend chart for cloud as a share of revenue and cost per customer.

Done

Summary and chart posted to #board-prep. I will refresh the same two numbers in the first week of every quarter and note anything that moved more than two points.

SummaryPosted to #board-prepTrend chart6 quarters attachedCloud vs revenue14.2%Cost per customer$31RecurringFirst week of each quarter
🎉 4📊 2
TODAY
Mark Kessler9:30 AM

@Finch what did Platform spend last month, and what changed from July?

FinchAPP9:30 AM
Platform spent $148,200 in August, up $22,600 from July

Almost all of the increase is the Snowflake migration you approved. Here is where the money went:

  • Snowflake migration: $19,800. Running both warehouses until Sep 15, then it drops off.
  • EKS prod cluster: $61,300, flat. Utilization steady at 68%.
  • Load test environment: $2,100. John's test ended Aug 22, back on its off-hours schedule.
  • Everything else: $64,900, within 2% of July.

September forecast is $131,000 once the old warehouse goes away. Want this in your team channel every Monday?

Post to #platform-teamShow per serviceWeekly on Mondays
Confirmed by Mark K.
Mark Kessler9:34 AM

@Finch Post it to #platform-team and yes, every Monday.

FinchAPP9:34 AM
On it

Building the Platform report by service, with the July comparison and the September forecast. Setting the Monday schedule.

Done

Report posted to #platform-team. Every Monday at 9 AM you will get last week's spend by service, what changed, and why. I will call out anything new before it shows up on the bill.

ReportPosted to #platform-teamChange explained$19.8K migration, plannedLoad testEnded Aug 22, on scheduleForecastSeptember $131KRecurringMondays, 9 AM
👍 3✅ 2
Message #finops

Finch learns your business, not just your bill.

Brief Finch once in Slack or connect your tools. Every recommendation is checked against this context first.

Your product

Roadmap and launch calendar

Cost to serve per feature and per tier

Beta cohorts and usage patterns

Your teams

Who owns each account and service

Who is testing what, and until when

Approvals routed to the right person

Your business

Growth targets and margin goals

Cost per customer, per feature, per team

Board-ready reporting on demand

Copilots read the bill.
Finch reads the business.

Every vendor has an AI that explains the chart. Finch knows the roadmap, the teams, and the targets behind it.

AI copilots
Finch
Idle resources

Flags everything that looks idle

Knows John is load testing through Friday and leaves his environment alone

A planned launch

Flags it as an anomaly

Knows it was on the roadmap, budgets it, and tracks cost to serve

Follow-ups

Forgets by Monday

Owner says “needed for 30 days”? Finch checks back on day 30 and closes the loop

Business metrics

Shows a total

Reports cost per customer, per feature, and per team against your growth plan

Finch dashboard showing August spend against plan, cost per customer, and a planned launch on the roadmap

Finch understands the business, not just the bill

Briefed on your roadmap, releases, and team ownership, Finch reads spend the way your CFO does: cost per customer, per feature, and per team, measured against the growth plan you set.

Ask business questions. Get business answers.

What does onboarding cost per new customer? Are we on track for the Q4 margin target? Which team’s spend grew faster than revenue? Ask Finch in Slack, Teams, or Cloudchipr and get the answer with the chart.

Finch answering which team's spend grew faster than revenue, with a per-team comparison
Dev sandbox instances with idle resources flagged and an active load test protected

Finch knows what is in use, and what is not

Before Finch recommends anything, it checks the context: the load test John is running this week, the demo environment sales needs on Friday, the migration in flight. It flags only what is truly idle, and asks the owner first.

Finch follows through, for as long as it takes

Every finding becomes a ticket Finch owns, in its own tracker and mirrored to Jira if you want. Owner says the resources are needed for 30 days? Finch notes it, checks back on day 30, and closes the loop. Nothing quietly expires.

Finch ticket timeline tracking a savings finding from discovery to a day-30 check-in
Finch linking an EKS spend increase to the pull request that caused it

Finch connects every dollar to the code behind it

Connect GitHub, Jira, Datadog, and 25+ providers to Cloudchipr. Finch correlates spend with the deploy, the ticket, and the incident behind it, so every dollar has a reason.

Connect your clouds. Brief Finch.
Let it work.

No rollout project. No thresholds to tune. Brief Finch once, and it remembers.

1

Connect

Link AWS, GCP, Azure, and Kubernetes with a read-only IAM role. Grant scoped write access only when you are ready.

2

Brief Finch

Ask a question, hand over a standing job, or give Finch context: “John’s load test runs through Friday.” Finch remembers, and acts accordingly.

3

Finch delivers

Answers, approvals, and completed actions land in Slack or Teams, with the savings counted and every follow-up on the calendar.

One hire. 25+ providers.

Every cloud, tool, and AI provider connects to Cloudchipr with least-privilege access. Finch reads them all.

Hire Finch. The FinOps teammate that knows your business.

Why Teams Trust Cloudchipr

Teams using Cloudchipr to manage cloud and AI costs see measurable results.
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On average
Engineering teams save
200h/mo
On average
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Cloudchipr saved us 30% on our multi-cloud costs. We run several automation workflows that continuously scan our dev and sandbox accounts, cleaning up idle resources and helping us prevent future waste.
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Edgar from ServiceTitan
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Cloudchipr's automation workflows saved us thousands of engineering hours on cost optimization and reduced our cloud expenses by seven figures on AWS, GCP, and Azure.
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Cloudchipr found legacy resources that were costing us a significant amount of money every day. Now, we use it as a background service to ensure we only pay for what we actually use across all clouds.
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Cloudchipr has been a game-changer for us. Their platform helped us cut cloud costs by 60%, while their DevOps team seamlessly migrated our workload to the cloud and ensured 99.99% uptime.
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Tigran from CodeSignal
CEO
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Cloudchipr helped us cut our cloud costs by 40%. We set up automated workflows that continuously scanned our environment and cleaned up orphaned resources every day, saving us both time and money.
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Diana from Digital.ai
Head of FinOps Engineering

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Hire Finch. One teammate that knows the business.

Finch understands your teams, your roadmap, and your numbers, follows through on every ticket, and remembers every decision. Start free and read-only, then grant write access when you are ready. No credit card required.