Sphere Partners
AI Readiness Assessment

Know where AI pays off before you spend on it.

In one 20-minute call we look at your departments, headcount and where time and money leak. Then we send a written breakdown: where AI has the clearest payoff, what it's worth and where to start. No jargon, no obligation.

Book my readiness call
20-minute call
We do the math
Your answer

Book a free AI readiness call

20 minutes about your business, not our technology. You get a written breakdown whether or not you work with us.

Reply within 1 business dayHappy to sign an NDA first

Technology partners

  • AWS
  • Google Cloud
  • Microsoft Azure
  • Databricks
  • Snowflake
  • Anthropic Claude
Why AI budgets miss

Most AI spend starts with the wrong question.

"Which AI tool should we buy?" comes too early. The right first question is which part of the business is losing the most time and money, and whether AI can realistically close that gap.

 
Starting with a pitch
Starting with your numbers
Where to start
Whatever use case the vendor sells
The department with the most to gain, ranked by your numbers
Business case
Generic ROI slides
An estimate of the cost or revenue impact per department
Readiness
Data gaps surface mid-project
Data, systems and governance gaps flagged up front
Effort
Weeks of workshops before an answer
One 20-minute call and a written breakdown in a few business days
Commitment
Sign first, find out later
The breakdown is yours, with no obligation to work with Sphere
Next step
A tool login nobody uses
A recommended starting point and what it takes to build it

You get the right-hand column in writing. Here's how.

See how it works
How it works

One call. A clear answer in a few days.

The assessment is built for business leaders, not technical teams. You won't be asked about models or infrastructure, only about your business.

  1. Day 1 · 20 minutes

    The call

    We ask about your departments, headcount and where things slow down or cost more than they should. No technical questions.

    You getA clear picture of where time and money leak today.
  2. Days 1–3

    We do the math

    We rank your departments by revenue and cost per employee and identify where AI has the clearest, fastest payoff.

    You getA ranked view of where AI is worth the investment.
  3. Within a few business days

    Your written breakdown

    Which department to start with, what it costs you now, what a fix is worth and what it would take to build.

    You getA recommended starting point, with no obligation.
  4. If you want to go further

    Plan the first build

    If the numbers support it, we scope the first project with a fixed price and timeline. If they don't, we'll tell you that too.

    You getA fixed scope for the first project, only if it makes sense.
In production today

Where assessments led next.

Engagements that started with a readiness review or workshop, and what came out of them.

16 weeks

AI adoption roadmap, from discovery to governed pilots

45attorneys and staff trained
AI adoption roadmap

A mid-sized law firm went from "should we?" to governed pilots.

After more than 20 discovery interviews, the firm got a governed data repository, an AI steering committee and policies, and pilots for client intake and contract clause suggestions with human review.

Read the law firm story
300+
client organizations
28
countries
93%
on-time delivery
75
Net Promoter Score (2026)
In their words

From the people who signed off on it.

What client leaders say about the AI systems Sphere put into production for them.

“Sphere deployed a production-ready RAG pipeline in five weeks. […] This was not a generic AI implementation; it was an enterprise knowledge system designed for a highly regulated professional services environment.”
5weeks to a production-ready RAG pipeline
66%better document retrieval accuracy
6 h → secresearch time per engagement
Ian YoungCEO, US Tax Service
79%
reduction in recurring operational costs
“Sphere's AI team has been a true strategic partner in helping us elevate our AI capabilities and modernize critical business operations. […] An exceptional partner for companies looking to operationalize AI and drive measurable ROI.”
David GitmanCEO, PrivateJet.com & Monarch Air Group
“Sphere approached AI transformation the right way — starting with workflows, data governance, and operational trust instead of simply deploying another AI tool.”
Ilya KaminskyCIO, Summit Financial Management
“Their Precision-Driven Engineering framework helped us implement Generative AI in a secure, scalable, and standardized way across teams while accelerating modernization of a critical legacy platform.”
Dan KirscheCTO, CURO Financial Technologies
“Sphere was a valuable partner in helping us advance our AI-native product lifecycle initiatives. Their combination of product thinking, engineering expertise, and execution discipline enabled the delivery of impactful solutions.”
Matt NormanCPO, DigitalOcean
“Sphere's AI-powered software and product engineering capabilities enabled us to achieve our objectives faster while improving operational efficiency across the software development lifecycle.”
Kinish PatelHead of Engineering & Co-Founder, SevenRooms (a DoorDash company)
Who you'll work with

Architects, not account managers.

Your first call is with the people who design Sphere's production AI systems, and they stay with the project after you sign.

Meet the full leadership team
Boris Korenfeld
Boris KorenfeldGlobal CTO & GM of Tech Practices

Built products and led high-scale engineering teams at HP Software, Gett and Google before leading Sphere's technology practices.

Zeeshan Siddiqui
Zeeshan SiddiquiEnterprise Architect: AI Platforms

Architects enterprise AI platforms that turn complex operations into secure, production-ready systems built to hold up at real-world scale.

Anton Macius
Anton MaciusField CTO

Led high-scale operational systems and modernization at Gett and bp pulse. Now builds automation-driven AI platforms and intelligent workflows.

Oleg Kukareka
Oleg KukarekaSolution Architect

More than a decade designing and scaling software from first MVP to enterprise-level systems across FinTech, transportation and real-time streaming.

No lock-in

Built on your stack. Owned by you.

It runs in your cloud

Deployed to your AWS, Azure or Google Cloud account. Your data doesn't leave your environment.

Your code, your IP

Repositories, documentation and runbooks are yours from day one. Nothing only Sphere can maintain.

Swap models when better ones ship

The architecture keeps the model replaceable, so moving from one provider to another is a config change, not a rebuild.

OpenAIAnthropic ClaudeGoogle GeminiMistralLlama
AWS BedrockAzure OpenAIGoogle CloudDatabricksSnowflake
SalesforceSAPNetSuiteDynamics 365HubSpotAtlassian
KubernetesDockerTerraformmonday.com

Models, clouds, business systems and deployment tooling we implement on today.

Recognition

21 years of engineering. Our top 20 clients stay 7+ years.

Independent recognition for the AI work Sphere delivers, from Clutch reviewers to global AI award juries.

Top Artificial Intelligence Company · US 2025

Top AI Code Generation Company · US 2025

Top Chatbot Company · US 2025

Top Recommendation Systems Company · US 2025

Top AI Text Generation Company · Florida 2025

Top App Development Company · Manufacturing 2025

Global Generative AI Award · 2026 Winner

Best in AI for Documentation Validation · 2026

Best in AI-Powered Invoice Auditing · 2026

Global Recognition Awards · 2026

Global Tech Award Winner · 2026

Most Innovative Technology Consulting Firm · 2026

Questions

What teams ask before they start.

Don't see yours? Ask it on the call. That's what it's for.

Book my readiness call
What is an AI readiness assessment?

A short, structured review of where your business loses the most time and money to manual or inefficient work, and whether AI can realistically close that gap. It's a business diagnostic, not a technology audit.

How long does it take?

The call is about 20 minutes. You get a written breakdown within a few business days.

Do I need to understand AI to do this?

No. It's built for business owners and operators. We ask about your departments, headcount and costs, not models or infrastructure.

What do I get at the end?

A ranked list of the departments with the most to gain from AI, an estimate of the cost or revenue impact for each and a recommended starting point.

Is this a sales call in disguise?

You get the written breakdown whether or not you ever hire us. If the numbers don't support a clear payoff, we'll tell you that too.

We already rolled out Copilot or ChatGPT. Isn't that enough?

Licensing a tool isn't the same as knowing where it pays off. The assessment tells you which part of the business the investment should target, and what it would take to get there.

Next step

Stop guessing where AI fits. Get the answer in writing.

Book a 20-minute readiness call. Within a few business days you'll have:

  • Which department has the most to gain from AI
  • What the problem costs you today, and what a fix is worth
  • A recommended starting point, with no obligation

Book a free AI readiness call

Tell us a little about your business. We'll reply within one business day to set a time.

Reply within 1 business dayHappy to sign an NDA first