We Are Your Enterprise
FinOps & Agentic AI Partner
We Are Your Enterprise
FinOps & Agentic AI Partner
We specialize in enterprise finops consulting and agentic AI implementation, delivering measurable cloud cost optimization and smarter operations for modern enterprises
trusted by leading organizations globally
In finops savings
agentic ai implementation success
delighted clients
success stories
FinOps Consulting &
Agentic AI Implementation Results
FinOps Consulting &
Agentic AI Implementation Results
40%
Projected annual cloud savings
62%
In Cloud cost savings
43%
In Cloud Cost Savings
£6.42M
Saved For Major Telecom Business
$17M
Saved For Global Insurance Provider
£2.3M
Projected Savings For Water Utility Company
read all case studies
what we do
Explore Our Enterprise Solutions
Explore Our Enterprise Solutions
We are experts in modern technology transformation; we have a range of bespoke enterprise finops consulting solutions across technology cost management and agentic AI implementation
Enterprise FinOps Management
Energy, Water & Utilities
We use our proprietary tooling, Optimus, to optimise complex cloud cost optimization and broader technology spend
view finops solutions
Agentic AI Implementation
Energy, Water & Utilities
We design safe, human-in-the-loop enterprise agentic AI implementation solutions that automate workflows, bridge system gaps, and drive real-time business intelligence.
view agentic ai solutions
Our Delivery Model
Our approach combines human expertise with technology-driven enterprise finops consulting, ensuring we safely and effectively address complex client challenges, unlock the value in data, and deliver actionable insights and impactful agentic AI implementation solutions.
Human Led Tech Driven Enterprise FinOps: Audit, cloud cost optimization efficiency review, KPI dashboard
Enterprise Agentic AI Implementation: Automation for business and IT teams for
finops & agentic ai testimonials
What Clients Say
About Finabeo
What Clients Say About Finabeo
Sarah Ainslie
Head of IT, Hill DickinsonA Clear Roadmap for Cost Savings
"Neil, Sarath and the team at Finabeo delivered a comprehensive and very useful assessment of our Azure cloud costs and internal capabilities. Having recently completed our move to the cloud, the results of the assessment have given us a clear roadmap for cloud cost governance and significant, specific, cost saving opportunities. This is a complex space, but we now have confidence to press forwards with the plan, implement the recommendations and track progress using the KPIs identified. Thank you!"
Stephen Wash
CEO, Keeper Solutions"We Saved 40% on our GCP spend"
"We saved 40% on our GCP spend within a couple of weeks, they have developed some very powerful software. Because they work alongside us, the recommendations were tailored for us, and we understood exactly how to realise the savings they identified. They surpassed our expectations by some distance!"
Senthil Govindhan
Founder & CEO, Datawrkz62% AWS cost savings
"Finabeo removed around 62% of our AWS costs. It was very eye-opening to see how inefficient we had become but also very pleasing to see how seamless and quickly the situation could be resolved. The team are very easy to work with and clearly absolute experts in their field – thank you!"
John Pugh
Director, PharmaPacZero Disruption to Teams!
“The technical prowess and problem solving skills at Finabeo are really strong. They resolved spend issues very quickly with zero disruption to my teams."
Mick Howard
MD, Urban Bubble
Identified Significant cost inefficiencies!
"Finabeo's team are experts in their trade and so easy to work with. In just a few days, they identified significant cost inefficiencies in our cloud spend and set us up with a plan that gives us total confidence that we will remain "right-sized" going forwards."
case studies
Industries We Specialise In
Industries We Specialise In
Energy, Water & Utilities Sector
Energy, Water & Utilities
We cut infrastructure costs through enterprise finops consulting and use agentic AI to boost efficiency.
Financial Services
Energy, Water & Utilities
We align cloud cost optimization and apply enterprise agentic AI for compliance and insight.
Legal & Professional Services
Energy, Water & Utilities
We align cloud cost optimization and apply enterprise agentic AI for compliance and insight.
Tech & Digital Companies
Energy, Water & Utilities
We optimise cloud cost optimization and deploy enterprise agentic AI to speed delivery and scale.
Hill Dickinson LLP
43% savings identified in 3 weeks for one of the largerst law firm in UK
Datawrkz
62% savings on AWS from orphaned resources and over-provisioned systems.
Keeper Solutions
43% cost saving through PaaS rightsizing and scheduling.
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We support all major hyperscalers
meet the team
Meet Our Enterprise FinOps
& Agentic AI Experts
Meet Our Enterprise FinOps
& Agentic AI Experts
meet the team
Neil Crossman
CEO and Co-Founder
Sarath Krishnan
CTO and Co-Founder
Gemma Stacey
Client Director
Paul Greenfield
Client Director
Lionel Van Dongen
Associate Director
Mondweep Chakravorty
Associate Director
Agentic AI Interactive
Live Demo
AquaAssist delivers a strategic capability, not just a demo. It integrates real-time data, orchestrates multiple AI agents, and provides end-to-end automation.
case studies
FinOps Case Studies
FinOps Case Studies
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Global Professional Services Firm
Legal Services
A global legal service organisation optimised 43% in annual enterprise cloud cost optimization savings through cost avoidance, resource efficiency and rate optimisation
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Major Telecom Business
Telecommunications
A telecom leader identified £6.42m in immediate Azure savings plus £8m in compute efficiencies through tagging and optimisation.
view case study
Global Insurance Provider
Financial Services
A global insurer uncovered $17m in annual savings, including $6m in quick wins, by aligning spend with governance and FinOps practices.
view case study
case studies
Agentic AI Case Studies
Agentic AI Case Studies
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Finabeo
FinOps & Agentic AI Consulting
Finabeo RAG Agent, Instant Answers From Company and Cloud Knowledge
view case study
Finabeo
FinOps & Agentic AI Consulting
BlogIQ Agent, Trend Aware Long Form Content on Autopilot
view case study
Finabeo
Consulting, B2B SaaS, Professional Services
Personalized LinkedIn Content Engine that Scales Founder Voice
view case study
Frequently Asked Questions
Frequently Asked Questions
finops
How much can my organization save on cloud costs?
FinOps consulting typically delivers 25-40% cost savings in the first year. Our clients average 38% savings through waste elimination, rightsizing, and improved governance. For a company spending $10M annually on cloud, this translates to $3.8M in direct savings, plus improved budget predictability and resource allocation. Most enterprises see initial cost reductions within 30-60 days, with full ROI achieved in 3-6 months. Our three-stage approach delivers quick wins first (immediate savings), followed by governance improvements and long-term optimization strategies that compound savings year-over-year.
Who should use Finabeo, and when?
If your organisation currently pays circa $50,000 or more per annum for a cloud-based service with Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP) then let’s discuss how we can help you. We are just as effective as helping clients whose IT is outsourced to 3rd party support organisations. Unless you have been through specific/extensive cloud optimisation activities, it is likely that some of your cloud resources have been set up inefficiently. Example opportunities for optimisation include: Terminating orphan resources Resizing Azure VM instances from FS16v2 to FS4v2, if the utilisation is only 25% at peak workloads Review Database to rightsize and / or migrate Migrate from IaaS to PaaS Provide recommendations for better / cheaper and optimal options within PaaS Our software will quickly identify these efficiency opportunities and deliver specific recommendations. Whilst most organisations approach us once they realise how complex cloud cost management is, we are better positioned to help companies who are at the start of their cloud journey so that good foundations are put in place and expensive mistakes are avoided.
What does a typical working engagement with Finabeo look like?
This depends on how mature your organisation is, but we typically recommend to start with our basic diagnostic that assesses all key elements of cloud cost management and delivers the following reports: Cloud cost allocation (tagging) data quality audit - ie making sure you can track all of your cloud resources Cost optimisation opportunity report and FinOps maturity assessment KPI dashboards for key personas The above, which includes consulting support from us throughout, gives any organisation a brilliant starting point for cloud cost management. As a follow on, we often then help organisations to reduce cloud costs through running optimisation programmes and even supporting on more complex activities like cloud re-architecture and implementing technology cost governance models.
Do you require full access to my organisation’s IT estate?
No. You will simply provide us with read-only access to your Azure / AWS / GCP environment. Optimus will then provide it’s analysis recommendations based on the following data: Metadata and configuration Cost management, reservations and billing metrics Network flow logs This means we don’t access any Personally Identifiable Information (PII) data and there is no intrusive application access.
How does this compare to competition?
Unlike the hyperscaler-native-tooling or our SaaS competitors, our software gives specific recommendations tailored to business strategy and goals. Our competitors focus on technical aspects of cloud optimisation. Through our human-led approach, we address the things that really drive organisational change on cost management: sponsorship, data quality governance, clear accountabilities, incentives models, training / education, communication and building communities. Depending on the size of your cloud spend, and the complexity of your cloud estate, we charge from £5k (one-off) for: Cloud cost (allocation) data quality audit Cost optimisation opportunity report and FinOps maturity assessment KPI dashboards for key personas The above, which includes consulting support from us throughout, is all you need to overhaul your cloud spend.
How much can my organization save on cloud costs?
FinOps consulting typically delivers 25-40% cost savings in the first year. Our clients average 38% savings through waste elimination, rightsizing, and improved governance. For a company spending $10M annually on cloud, this translates to $3.8M in direct savings, plus improved budget predictability and resource allocation. Most enterprises see initial cost reductions within 30-60 days, with full ROI achieved in 3-6 months. Our three-stage approach delivers quick wins first (immediate savings), followed by governance improvements and long-term optimization strategies that compound savings year-over-year.
Who should use Finabeo, and when?
If your organisation currently pays circa $50,000 or more per annum for a cloud-based service with Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP) then let’s discuss how we can help you. We are just as effective as helping clients whose IT is outsourced to 3rd party support organisations. Unless you have been through specific/extensive cloud optimisation activities, it is likely that some of your cloud resources have been set up inefficiently. Example opportunities for optimisation include: Terminating orphan resources Resizing Azure VM instances from FS16v2 to FS4v2, if the utilisation is only 25% at peak workloads Review Database to rightsize and / or migrate Migrate from IaaS to PaaS Provide recommendations for better / cheaper and optimal options within PaaS Our software will quickly identify these efficiency opportunities and deliver specific recommendations. Whilst most organisations approach us once they realise how complex cloud cost management is, we are better positioned to help companies who are at the start of their cloud journey so that good foundations are put in place and expensive mistakes are avoided.
What does a typical working engagement with Finabeo look like?
This depends on how mature your organisation is, but we typically recommend to start with our basic diagnostic that assesses all key elements of cloud cost management and delivers the following reports: Cloud cost allocation (tagging) data quality audit - ie making sure you can track all of your cloud resources Cost optimisation opportunity report and FinOps maturity assessment KPI dashboards for key personas The above, which includes consulting support from us throughout, gives any organisation a brilliant starting point for cloud cost management. As a follow on, we often then help organisations to reduce cloud costs through running optimisation programmes and even supporting on more complex activities like cloud re-architecture and implementing technology cost governance models.
Do you require full access to my organisation’s IT estate?
No. You will simply provide us with read-only access to your Azure / AWS / GCP environment. Optimus will then provide it’s analysis recommendations based on the following data: Metadata and configuration Cost management, reservations and billing metrics Network flow logs This means we don’t access any Personally Identifiable Information (PII) data and there is no intrusive application access.
How does this compare to competition?
Unlike the hyperscaler-native-tooling or our SaaS competitors, our software gives specific recommendations tailored to business strategy and goals. Our competitors focus on technical aspects of cloud optimisation. Through our human-led approach, we address the things that really drive organisational change on cost management: sponsorship, data quality governance, clear accountabilities, incentives models, training / education, communication and building communities. Depending on the size of your cloud spend, and the complexity of your cloud estate, we charge from £5k (one-off) for: Cloud cost (allocation) data quality audit Cost optimisation opportunity report and FinOps maturity assessment KPI dashboards for key personas The above, which includes consulting support from us throughout, is all you need to overhaul your cloud spend.
How much can my organization save on cloud costs?
FinOps consulting typically delivers 25-40% cost savings in the first year. Our clients average 38% savings through waste elimination, rightsizing, and improved governance. For a company spending $10M annually on cloud, this translates to $3.8M in direct savings, plus improved budget predictability and resource allocation. Most enterprises see initial cost reductions within 30-60 days, with full ROI achieved in 3-6 months. Our three-stage approach delivers quick wins first (immediate savings), followed by governance improvements and long-term optimization strategies that compound savings year-over-year.
Who should use Finabeo, and when?
If your organisation currently pays circa $50,000 or more per annum for a cloud-based service with Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP) then let’s discuss how we can help you. We are just as effective as helping clients whose IT is outsourced to 3rd party support organisations. Unless you have been through specific/extensive cloud optimisation activities, it is likely that some of your cloud resources have been set up inefficiently. Example opportunities for optimisation include: Terminating orphan resources Resizing Azure VM instances from FS16v2 to FS4v2, if the utilisation is only 25% at peak workloads Review Database to rightsize and / or migrate Migrate from IaaS to PaaS Provide recommendations for better / cheaper and optimal options within PaaS Our software will quickly identify these efficiency opportunities and deliver specific recommendations. Whilst most organisations approach us once they realise how complex cloud cost management is, we are better positioned to help companies who are at the start of their cloud journey so that good foundations are put in place and expensive mistakes are avoided.
What does a typical working engagement with Finabeo look like?
This depends on how mature your organisation is, but we typically recommend to start with our basic diagnostic that assesses all key elements of cloud cost management and delivers the following reports: Cloud cost allocation (tagging) data quality audit - ie making sure you can track all of your cloud resources Cost optimisation opportunity report and FinOps maturity assessment KPI dashboards for key personas The above, which includes consulting support from us throughout, gives any organisation a brilliant starting point for cloud cost management. As a follow on, we often then help organisations to reduce cloud costs through running optimisation programmes and even supporting on more complex activities like cloud re-architecture and implementing technology cost governance models.
Do you require full access to my organisation’s IT estate?
No. You will simply provide us with read-only access to your Azure / AWS / GCP environment. Optimus will then provide it’s analysis recommendations based on the following data: Metadata and configuration Cost management, reservations and billing metrics Network flow logs This means we don’t access any Personally Identifiable Information (PII) data and there is no intrusive application access.
How does this compare to competition?
Unlike the hyperscaler-native-tooling or our SaaS competitors, our software gives specific recommendations tailored to business strategy and goals. Our competitors focus on technical aspects of cloud optimisation. Through our human-led approach, we address the things that really drive organisational change on cost management: sponsorship, data quality governance, clear accountabilities, incentives models, training / education, communication and building communities. Depending on the size of your cloud spend, and the complexity of your cloud estate, we charge from £5k (one-off) for: Cloud cost (allocation) data quality audit Cost optimisation opportunity report and FinOps maturity assessment KPI dashboards for key personas The above, which includes consulting support from us throughout, is all you need to overhaul your cloud spend.
How much can my organization save on cloud costs?
FinOps consulting typically delivers 25-40% cost savings in the first year. Our clients average 38% savings through waste elimination, rightsizing, and improved governance. For a company spending $10M annually on cloud, this translates to $3.8M in direct savings, plus improved budget predictability and resource allocation. Most enterprises see initial cost reductions within 30-60 days, with full ROI achieved in 3-6 months. Our three-stage approach delivers quick wins first (immediate savings), followed by governance improvements and long-term optimization strategies that compound savings year-over-year.
Who should use Finabeo, and when?
If your organisation currently pays circa $50,000 or more per annum for a cloud-based service with Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP) then let’s discuss how we can help you. We are just as effective as helping clients whose IT is outsourced to 3rd party support organisations. Unless you have been through specific/extensive cloud optimisation activities, it is likely that some of your cloud resources have been set up inefficiently. Example opportunities for optimisation include: Terminating orphan resources Resizing Azure VM instances from FS16v2 to FS4v2, if the utilisation is only 25% at peak workloads Review Database to rightsize and / or migrate Migrate from IaaS to PaaS Provide recommendations for better / cheaper and optimal options within PaaS Our software will quickly identify these efficiency opportunities and deliver specific recommendations. Whilst most organisations approach us once they realise how complex cloud cost management is, we are better positioned to help companies who are at the start of their cloud journey so that good foundations are put in place and expensive mistakes are avoided.
What does a typical working engagement with Finabeo look like?
This depends on how mature your organisation is, but we typically recommend to start with our basic diagnostic that assesses all key elements of cloud cost management and delivers the following reports: Cloud cost allocation (tagging) data quality audit - ie making sure you can track all of your cloud resources Cost optimisation opportunity report and FinOps maturity assessment KPI dashboards for key personas The above, which includes consulting support from us throughout, gives any organisation a brilliant starting point for cloud cost management. As a follow on, we often then help organisations to reduce cloud costs through running optimisation programmes and even supporting on more complex activities like cloud re-architecture and implementing technology cost governance models.
Do you require full access to my organisation’s IT estate?
No. You will simply provide us with read-only access to your Azure / AWS / GCP environment. Optimus will then provide it’s analysis recommendations based on the following data: Metadata and configuration Cost management, reservations and billing metrics Network flow logs This means we don’t access any Personally Identifiable Information (PII) data and there is no intrusive application access.
How does this compare to competition?
Unlike the hyperscaler-native-tooling or our SaaS competitors, our software gives specific recommendations tailored to business strategy and goals. Our competitors focus on technical aspects of cloud optimisation. Through our human-led approach, we address the things that really drive organisational change on cost management: sponsorship, data quality governance, clear accountabilities, incentives models, training / education, communication and building communities. Depending on the size of your cloud spend, and the complexity of your cloud estate, we charge from £5k (one-off) for: Cloud cost (allocation) data quality audit Cost optimisation opportunity report and FinOps maturity assessment KPI dashboards for key personas The above, which includes consulting support from us throughout, is all you need to overhaul your cloud spend.
Agentic ai
How do we ensure governance and control when deploying Agentic AI?
Strong governance starts with defining clear agent boundaries and accountability. Each AI agent should have a specific scope of responsibility, access permissions, and escalation protocols. Finabeo’s framework emphasizes human-in-the-loop oversight, audit trails, and data access documentation at every step to ensure transparency and compliance.
What role do humans play once Agentic AI is in operation?
Humans remain the decision-makers and reviewers. The agent handles execution — collecting data, generating insights, and performing repeatable workflows, while humans focus on interpretation, judgment, and strategy. This human-AI partnership model ensures results align with business objectives and ethical standards.
How do we prove business value and not just technical success from Agentic AI?
Every Agentic AI engagement at Finabeo begins with defined business impact metrics — such as cloud cost reduction, resource optimization, or time saved in reporting. Dashboards then visualize these metrics over time, linking automation directly to financial outcomes. This FinOps-driven measurement connects AI autonomy with real-world cost efficiency, ensuring visible, defensible ROI.
Who is ultimately accountable for Agentic AI decisions and results?
Accountability always remains with the human owner or business unit deploying the agent. Agents act as operational executors, not decision-makers. Each workflow includes ownership metadata, linking every output to a responsible leader or department. This ensures clarity in audits, compliance, and executive reporting, reinforcing the principle that AI assists, humans decide.
How does Finabeo maintain transparency in Agentic AI decision-making?
Every agent within Finabeo’s ecosystem operates under an explainability-first principle. All actions are accompanied by contextual metadata — what data was used, which logic or model triggered the action, and what alternative outcomes were considered. Executives can trace every decision path, ensuring that even automated reasoning remains interpretable and audit-ready for compliance and accountability.
How do we ensure governance and control when deploying Agentic AI?
Strong governance starts with defining clear agent boundaries and accountability. Each AI agent should have a specific scope of responsibility, access permissions, and escalation protocols. Finabeo’s framework emphasizes human-in-the-loop oversight, audit trails, and data access documentation at every step to ensure transparency and compliance.
What role do humans play once Agentic AI is in operation?
Humans remain the decision-makers and reviewers. The agent handles execution — collecting data, generating insights, and performing repeatable workflows, while humans focus on interpretation, judgment, and strategy. This human-AI partnership model ensures results align with business objectives and ethical standards.
How do we prove business value and not just technical success from Agentic AI?
Every Agentic AI engagement at Finabeo begins with defined business impact metrics — such as cloud cost reduction, resource optimization, or time saved in reporting. Dashboards then visualize these metrics over time, linking automation directly to financial outcomes. This FinOps-driven measurement connects AI autonomy with real-world cost efficiency, ensuring visible, defensible ROI.
Who is ultimately accountable for Agentic AI decisions and results?
Accountability always remains with the human owner or business unit deploying the agent. Agents act as operational executors, not decision-makers. Each workflow includes ownership metadata, linking every output to a responsible leader or department. This ensures clarity in audits, compliance, and executive reporting, reinforcing the principle that AI assists, humans decide.
How does Finabeo maintain transparency in Agentic AI decision-making?
Every agent within Finabeo’s ecosystem operates under an explainability-first principle. All actions are accompanied by contextual metadata — what data was used, which logic or model triggered the action, and what alternative outcomes were considered. Executives can trace every decision path, ensuring that even automated reasoning remains interpretable and audit-ready for compliance and accountability.
How do we ensure governance and control when deploying Agentic AI?
Strong governance starts with defining clear agent boundaries and accountability. Each AI agent should have a specific scope of responsibility, access permissions, and escalation protocols. Finabeo’s framework emphasizes human-in-the-loop oversight, audit trails, and data access documentation at every step to ensure transparency and compliance.
What role do humans play once Agentic AI is in operation?
Humans remain the decision-makers and reviewers. The agent handles execution — collecting data, generating insights, and performing repeatable workflows, while humans focus on interpretation, judgment, and strategy. This human-AI partnership model ensures results align with business objectives and ethical standards.
How do we prove business value and not just technical success from Agentic AI?
Every Agentic AI engagement at Finabeo begins with defined business impact metrics — such as cloud cost reduction, resource optimization, or time saved in reporting. Dashboards then visualize these metrics over time, linking automation directly to financial outcomes. This FinOps-driven measurement connects AI autonomy with real-world cost efficiency, ensuring visible, defensible ROI.
Who is ultimately accountable for Agentic AI decisions and results?
Accountability always remains with the human owner or business unit deploying the agent. Agents act as operational executors, not decision-makers. Each workflow includes ownership metadata, linking every output to a responsible leader or department. This ensures clarity in audits, compliance, and executive reporting, reinforcing the principle that AI assists, humans decide.
How does Finabeo maintain transparency in Agentic AI decision-making?
Every agent within Finabeo’s ecosystem operates under an explainability-first principle. All actions are accompanied by contextual metadata — what data was used, which logic or model triggered the action, and what alternative outcomes were considered. Executives can trace every decision path, ensuring that even automated reasoning remains interpretable and audit-ready for compliance and accountability.
How do we ensure governance and control when deploying Agentic AI?
Strong governance starts with defining clear agent boundaries and accountability. Each AI agent should have a specific scope of responsibility, access permissions, and escalation protocols. Finabeo’s framework emphasizes human-in-the-loop oversight, audit trails, and data access documentation at every step to ensure transparency and compliance.
What role do humans play once Agentic AI is in operation?
Humans remain the decision-makers and reviewers. The agent handles execution — collecting data, generating insights, and performing repeatable workflows, while humans focus on interpretation, judgment, and strategy. This human-AI partnership model ensures results align with business objectives and ethical standards.
How do we prove business value and not just technical success from Agentic AI?
Every Agentic AI engagement at Finabeo begins with defined business impact metrics — such as cloud cost reduction, resource optimization, or time saved in reporting. Dashboards then visualize these metrics over time, linking automation directly to financial outcomes. This FinOps-driven measurement connects AI autonomy with real-world cost efficiency, ensuring visible, defensible ROI.
Who is ultimately accountable for Agentic AI decisions and results?
Accountability always remains with the human owner or business unit deploying the agent. Agents act as operational executors, not decision-makers. Each workflow includes ownership metadata, linking every output to a responsible leader or department. This ensures clarity in audits, compliance, and executive reporting, reinforcing the principle that AI assists, humans decide.
How does Finabeo maintain transparency in Agentic AI decision-making?
Every agent within Finabeo’s ecosystem operates under an explainability-first principle. All actions are accompanied by contextual metadata — what data was used, which logic or model triggered the action, and what alternative outcomes were considered. Executives can trace every decision path, ensuring that even automated reasoning remains interpretable and audit-ready for compliance and accountability.
finabeo blogs
Enterprise Cloud Cost
& Agentic AI Insights
Enterprise Cloud Cost
& Agentic AI Insights
read all blogs
