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

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trusted by leading organizations globally

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In finops savings
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agentic ai implementation success
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delighted clients

success stories

FinOps Consulting &
Agentic AI Implementation Results

  • pathway between high rise buildings

    40%

    Projected annual cloud savings

  • photo of gray building

    62%

    In Cloud cost savings

  • low light photography of vehicle crossing road between high-rise buildings

    43%

    In Cloud Cost Savings

  • orange and blue building during daytime

    £6.42M

    Saved For Major Telecom Business

  • low angle photo of city high rise buildings during daytime

    $17M

    Saved For Global Insurance Provider

  • low angle photo of city high rise buildings during daytime

    £2.3M

    Projected Savings For Water Utility Company

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what we do

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

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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.

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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: Connecting automation with business and IT for seamless operations

finops & agentic ai testimonials

What Clients Say

About Finabeo

What Clients Say About Finabeo

  • Sarah Ainslie
    Head of IT, Hill Dickinson

    A 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, Datawrkz

    62% 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, PharmaPac

    Zero 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, and Growing

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.

pathway between high rise buildings
pathway between high rise buildings
pathway between high rise buildings
pathway between high rise buildings

Hill Dickinson LLP

43% savings identified in 3 weeks for one of the largerst law firm in UK

high rise buildings city scape photography
high rise buildings city scape photography
high rise buildings city scape photography
high rise buildings city scape photography

Datawrkz

62% savings on AWS from orphaned resources and over-provisioned systems.

aerial view of city under cloudy sky during day time
aerial view of city under cloudy sky during day time
aerial view of city under cloudy sky during day time
aerial view of city under cloudy sky during day time

Keeper Solutions

43% cost saving through PaaS rightsizing and scheduling.

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worm's eye-view photography of ceiling
worm's eye-view photography of ceiling

We support all major hyperscalers

meet the team

Meet Our Enterprise FinOps
& Agentic AI Experts

meet the team

Neil Crossman

CEO and Co-Founder

Sarath Krishnan

CTO and Co-Founder

Gemma Stacey

FinOps Expert & Partner

Paul

Client Director at Finabeo.

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.

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photo of outer space
photo of outer space
photo of outer space
photo of outer space

case studies

FinOps Case Studies

FinOps Case Studies

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a close up of a building with statues on it
a close up of a building with statues on it
a close up of a building with statues on it
a close up of a building with statues on it

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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white and black satellite dish on top of white building
white and black satellite dish on top of white building
white and black satellite dish on top of white building
white and black satellite dish on top of white building

Major Telecom Business

Telecommunications

A telecom leader identified £6.42m in immediate Azure savings plus £8m in compute efficiencies through tagging and optimisation.

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a very tall building with a lot of windows
a very tall building with a lot of windows
a very tall building with a lot of windows
a very tall building with a lot of windows

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.

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case studies

Agentic AI Case Studies

Agentic AI Case Studies

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turned on monitoring screen
turned on monitoring screen
turned on monitoring screen
turned on monitoring screen

Finabeo

FinOps & Agentic AI Consulting

Finabeo RAG Agent, Instant Answers From Company and Cloud Knowledge

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a purple background with a black and blue circle surrounded by blue and green cubes
a purple background with a black and blue circle surrounded by blue and green cubes
a purple background with a black and blue circle surrounded by blue and green cubes
a purple background with a black and blue circle surrounded by blue and green cubes

Finabeo

FinOps & Agentic AI Consulting

BlogIQ Agent, Trend Aware Long Form Content on Autopilot

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a group of cubes that are on a black surface
a group of cubes that are on a black surface
a group of cubes that are on a black surface
a group of cubes that are on a black surface

Finabeo

Consulting, B2B SaaS, Professional Services

Personalized LinkedIn Content Engine that Scales Founder Voice

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FAQs

Frequently Asked Questions

How much can enterprise FinOps consulting actually save on our cloud costs?

Enterprise 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.

What if I don’t like the machine after using it?

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.

How do we ensure FinOps consulting aligns our finance, engineering, and operations teams?

Successful enterprise FinOps consulting bridges the knowledge gap between CxOs and technical teams through shared KPI dashboards, clear cost allocation frameworks, and cross-functional governance structures. We establish common language and metrics that make cloud spending transparent and accountable across all stakeholders.

What's the business case for enterprise agentic AI implementation versus traditional automation?

Enterprise agentic AI implementation delivers 3-5x greater ROI than traditional automation because agents can handle complex, multi-step processes that adapt to changing conditions. Unlike rigid scripts, agentic AI reduces operational overhead by 60-80% while improving decision quality through real-time data analysis and cross-system integration.

How do we safely implement agentic AI in regulated industries without compliance risks?

Safe enterprise agentic AI implementation requires human-in-the-loop governance, complete audit trails, and security-first architecture. Our methodology includes AI action tracking, bias mitigation protocols, and regulatory compliance frameworks that maintain full transparency while delivering operational benefits in highly regulated environments.

What's the typical implementation timeline and resource commitment for enterprise agentic AI?

Enterprise agentic AI implementation typically requires 12-16 weeks from assessment to full deployment. The process involves minimal internal resources (2-3 stakeholders for governance) while our team handles technical implementation. Most clients see measurable workflow improvements within 6-8 weeks of the pilot phase, with full ROI achieved within 9 months.

How much can enterprise FinOps consulting actually save on our cloud costs?

Enterprise 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.

What if I don’t like the machine after using it?

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.

How do we ensure FinOps consulting aligns our finance, engineering, and operations teams?

Successful enterprise FinOps consulting bridges the knowledge gap between CxOs and technical teams through shared KPI dashboards, clear cost allocation frameworks, and cross-functional governance structures. We establish common language and metrics that make cloud spending transparent and accountable across all stakeholders.

What's the business case for enterprise agentic AI implementation versus traditional automation?

Enterprise agentic AI implementation delivers 3-5x greater ROI than traditional automation because agents can handle complex, multi-step processes that adapt to changing conditions. Unlike rigid scripts, agentic AI reduces operational overhead by 60-80% while improving decision quality through real-time data analysis and cross-system integration.

How do we safely implement agentic AI in regulated industries without compliance risks?

Safe enterprise agentic AI implementation requires human-in-the-loop governance, complete audit trails, and security-first architecture. Our methodology includes AI action tracking, bias mitigation protocols, and regulatory compliance frameworks that maintain full transparency while delivering operational benefits in highly regulated environments.

What's the typical implementation timeline and resource commitment for enterprise agentic AI?

Enterprise agentic AI implementation typically requires 12-16 weeks from assessment to full deployment. The process involves minimal internal resources (2-3 stakeholders for governance) while our team handles technical implementation. Most clients see measurable workflow improvements within 6-8 weeks of the pilot phase, with full ROI achieved within 9 months.

How much can enterprise FinOps consulting actually save on our cloud costs?

Enterprise 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.

What if I don’t like the machine after using it?

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.

How do we ensure FinOps consulting aligns our finance, engineering, and operations teams?

Successful enterprise FinOps consulting bridges the knowledge gap between CxOs and technical teams through shared KPI dashboards, clear cost allocation frameworks, and cross-functional governance structures. We establish common language and metrics that make cloud spending transparent and accountable across all stakeholders.

What's the business case for enterprise agentic AI implementation versus traditional automation?

Enterprise agentic AI implementation delivers 3-5x greater ROI than traditional automation because agents can handle complex, multi-step processes that adapt to changing conditions. Unlike rigid scripts, agentic AI reduces operational overhead by 60-80% while improving decision quality through real-time data analysis and cross-system integration.

How do we safely implement agentic AI in regulated industries without compliance risks?

Safe enterprise agentic AI implementation requires human-in-the-loop governance, complete audit trails, and security-first architecture. Our methodology includes AI action tracking, bias mitigation protocols, and regulatory compliance frameworks that maintain full transparency while delivering operational benefits in highly regulated environments.

What's the typical implementation timeline and resource commitment for enterprise agentic AI?

Enterprise agentic AI implementation typically requires 12-16 weeks from assessment to full deployment. The process involves minimal internal resources (2-3 stakeholders for governance) while our team handles technical implementation. Most clients see measurable workflow improvements within 6-8 weeks of the pilot phase, with full ROI achieved within 9 months.

How much can enterprise FinOps consulting actually save on our cloud costs?

Enterprise 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.

What if I don’t like the machine after using it?

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.

How do we ensure FinOps consulting aligns our finance, engineering, and operations teams?

Successful enterprise FinOps consulting bridges the knowledge gap between CxOs and technical teams through shared KPI dashboards, clear cost allocation frameworks, and cross-functional governance structures. We establish common language and metrics that make cloud spending transparent and accountable across all stakeholders.

What's the business case for enterprise agentic AI implementation versus traditional automation?

Enterprise agentic AI implementation delivers 3-5x greater ROI than traditional automation because agents can handle complex, multi-step processes that adapt to changing conditions. Unlike rigid scripts, agentic AI reduces operational overhead by 60-80% while improving decision quality through real-time data analysis and cross-system integration.

How do we safely implement agentic AI in regulated industries without compliance risks?

Safe enterprise agentic AI implementation requires human-in-the-loop governance, complete audit trails, and security-first architecture. Our methodology includes AI action tracking, bias mitigation protocols, and regulatory compliance frameworks that maintain full transparency while delivering operational benefits in highly regulated environments.

What's the typical implementation timeline and resource commitment for enterprise agentic AI?

Enterprise agentic AI implementation typically requires 12-16 weeks from assessment to full deployment. The process involves minimal internal resources (2-3 stakeholders for governance) while our team handles technical implementation. Most clients see measurable workflow improvements within 6-8 weeks of the pilot phase, with full ROI achieved within 9 months.

finabeo blogs

Enterprise Cloud Cost
& Agentic AI Insights

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Practical Steps to Secure Executive Support for Your FinOps Initiatives

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How to Engage Leadership and Drive FinOps Success in Your Organization

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The Critical Role of Business Change Analysts in Ensuring Valuable Tech Investments

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The Critical Role of Business Change Analysts in Ensuring Valuable Tech Investments

How Independent Scrutiny Can Drive Better IT Procurement and Successful Digital Transformations

Aug 28, 2025

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The Critical Role of Business Change Analysts in Ensuring Valuable Tech Investments

How Independent Scrutiny Can Drive Better IT Procurement and Successful Digital Transformations

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Contact Us

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