Enterprise AI Governance + FinOps

Shadow AIUncontrolled spendModel sprawlAudit gapsNo ROI visibility

Bring AI spend, risk, and usage under control.

Sphere helps enterprises see where AI is being used, what it costs, who owns it, and where governance controls are missing without slowing down the teams already creating value.

Choose a starting point Estimate savings

AI Governance Command Center

Live controls

Monthly AI spend

$50K

Current estimate before token, model, and workflow optimization.

GPT

76%

Claude

48%

Gemini

28%

Risk queue

Unapproved AI toolHigh

No data ownerReview

Budget thresholdWatch

Approved model routeClear

100%Spend and usage visibility target

2-3 wkFull assessment timeline

5 levelsGovernance maturity model

40-60%Optimization potential range

48-hour snapshotFast initial cost and governance review

2-3 weeksFull governance and cost assessment

Workflow-level costAttribute spend by team, product, and use case

Audit-ready controlsPolicies, approvals, monitoring, and reporting

Organizations around the world trust us

Where risk and cost appear

AI does not stay experimental for long.

Once teams start using copilots, agents, model APIs, and AI-enabled software, the organization needs a way to see usage, control cost, approve tools, and prove that policies are being followed.

AI tools spread faster than policy

Teams buy and use tools before there is a shared standard for approval, data handling, or vendor review.

See the control story

Spend is hard to attribute

AI costs show up across model providers, copilots, APIs, infrastructure, and team budgets with no clean owner.

Estimate savings

Compliance proof is missing

Leadership may know AI is being used, but not whether there is an audit trail for decisions, approvals, and data access.

View framework

ROI is unclear

Without outcome tracking, it is difficult to separate useful AI from expensive activity that does not improve the business.

Choose next step

The governance story

From shadow AI to accountable AI.

The goal is not to block AI usage. The goal is to create enough visibility, ownership, and control that teams can scale AI safely.

Before

Personal AI accountsUnknown

Duplicate subscriptionsWaste

Unapproved vendorsRisk

No token attributionBlind

No audit trailGap

→

After

Approved AI inventoryVisible

Budget controls by teamOwned

Vendor and model governanceControlled

Cost per workflowMeasured

Executive reportingBoard-ready

Governed AI gives finance, security, compliance, and business leaders the same operating picture: what is running, what it costs, who owns it, and whether it is delivering measurable value.

What Sphere builds

A practical operating model for AI governance and AI FinOps.

Sphere connects cost intelligence, governance, ROI reporting, and observability so AI can scale as an accountable business capability.

Cost intelligence

See usage and cost by model, team, product, workflow, and business unit.

Token consumption tracking
Chargeback and allocation models
Cost per workflow and interaction

Clarifies where AI money is going.

Governance controls

Define how tools, models, vendors, data, and AI-assisted decisions are approved and monitored.

Policy and approval workflows
Vendor and model risk controls
Audit readiness and oversight

Reduces avoidable exposure.

ROI reporting

Connect AI spend to adoption, productivity, savings, revenue impact, and business outcomes.

Outcome-based dashboards
Executive reporting
Initiative-level ROI visibility

Separates activity from value.

AI observability

Monitor model behavior, performance, drift, cost anomalies, and agent workflows after launch.

Model and agent monitoring
Budget and anomaly alerts
Operational health reporting

Keeps controls alive after deployment.

Self-assess quickly

Where does your AI governance program sit today?

Use the maturity model as a simple way to frame the conversation. Most organizations do not need perfection first. They need visibility, ownership, and the next practical control.

Experimenting

AI usage exists, but it is not yet visible or controlled.

Risk profile

Shadow AI, personal accounts, unclear data exposure, and no central inventory.

Next control

Build an AI usage inventory and identify the highest-risk tools, vendors, and workflows.

AI cost calculator

Estimate the size of the optimization opportunity.

This is intentionally directional. The full assessment replaces estimates with actual usage data, model costs, workflow ownership, and governance findings.

Monthly AI spend $50,000

AI users or developers 50

Governance maturity 2

Primary model environment

$28,500

Estimated monthly optimization opportunity

Annualized opportunity$342,000

Estimated reduction range57%

Cost per user/month$1,000

Governance risk levelVery High

Get a fuller savings report

This calculator uses a directional estimate. A full assessment should be based on actual usage data, vendors, models, workflows, and governance maturity.

Where governance matters most

Different industries have different AI risk profiles.

The controls are not one-size-fits-all. Sphere tunes governance and AI FinOps around the data, decisions, and compliance exposure in each environment.

🏦

Financial services

Govern AI-assisted credit, underwriting, investment, customer service, and regulatory reporting workflows.

Audit trail

🏥

Healthcare

Control AI exposure around PHI, clinical decision support, patient operations, and administrative automation.

Sensitive data

🏭

Manufacturing

Track operational AI, plant-level usage, predictive maintenance, edge systems, and cross-site cost allocation.

Operational risk

🛡️

Insurance

Apply governance to claims automation, underwriting, pricing models, and customer-facing AI assistants.

Decision governance

⚡

Energy

Manage AI usage across field operations, forecasting, asset management, safety workflows, and vendor models.

Critical operations

🏨

Hospitality

Control revenue optimization, guest data, reservation AI, dynamic pricing, and customer engagement systems.

Customer impact

Choose your starting point

Start with the level of help your AI program needs now.

Make the path easy for buyers: a fast snapshot, a full assessment, or a program to implement and operate governance at scale.

Fastest

48-hour AI cost and governance snapshot

A quick review to identify obvious cost leaks, shadow AI exposure, and immediate governance gaps.

48 hoursInitial findings

Request snapshot

Most useful

AI Governance and Cost Assessment

A structured assessment of usage, spend, risk, ownership, controls, and savings opportunities.

2-3 weeksRoadmap included

Start assessment

Operationalize

AI FinOps implementation and managed governance

Deploy controls, dashboards, chargeback models, monitoring, and ongoing executive reporting.

6-12 weeksManaged program

Plan implementation

Questions before you start

AI governance and FinOps, explained plainly.

What is AI governance?

AI governance is the operating model for approving, monitoring, and controlling AI tools, models, vendors, data usage, and AI-assisted decisions. It helps teams scale AI while maintaining security, accountability, and compliance.

What is AI FinOps?

AI FinOps manages AI consumption, cost attribution, and business value across model APIs, agents, copilots, infrastructure, and AI-enabled applications. It focuses on visibility, optimization, and ROI.

Why is traditional cloud cost management not enough?

Traditional FinOps tracks infrastructure metrics like compute, storage, and utilization. AI introduces cost units such as tokens, prompts, inferences, model routes, and agent interactions that need different controls.

What does the assessment produce?

The assessment produces a view of AI usage, governance maturity, risk gaps, cost attribution, savings opportunities, and a prioritized roadmap for controls, monitoring, and executive reporting.

How long does it take?

The quick snapshot can be framed as a 48-hour review. A fuller AI governance and cost assessment typically runs 2-3 weeks depending on the systems, vendors, and teams involved.

Hear from

our clients

Hear from our clients

Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

Ben Crawford

Senior Product Manager at Enova Financial

I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.

Mark Friedgan

CEO at CreditNinja

Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.

René Pfitzner

Co-Founder at Experify

Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.

Bruce Burdick

Chief Information Officer at Integra Credit

We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.

Jemal Swoboda

CEO at Dabble

The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.

Arthur Tretyak

Founder and CEO at IntegraCredit

With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.

Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

VP of Engineering at Prominence Advisors