AI Transformation Services

AI Transformation Services – Integrate AI Across Business Functions

Move from experimentation to execution with Toptal’s AI Transformation Services. From strategy and use case definition to implementation and integration, our AI specialists translate data into measurable results.

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Clients Served

30,000+

Total Vetted Professionals

20,000+

AI & Big Data Experts

2,000+

AI & Data Project Hours Delivered

250,000+

TRUSTED BY LEADING BRANDS

Our Services

Toptal AI Transformation Services

Translate AI investments into practical applications that improve how work gets done across the business. Toptal’s AI specialists help organizations prioritize use cases and integrate capabilities into daily operations.

AI Strategy and Planning

Define an AI strategy tied to business goals, then map initiatives in sequence so funding, ownership, delivery, and timing stay aligned from the start.

Use Case Prioritization

Identify where AI can change outcomes by reviewing workflows and data constraints before resources are committed to build, buy, or pilot.

Data Readiness and Design

Assess whether data can support model training and inference, then structure pipelines and storage for reliable, repeatable AI use at scale enterprise-wide.

Model Development

Build machine learning models around specific business decisions, such as forecasting demand or detecting anomalies in customer data sets.

Generative AI Solutions

Develop generative AI tools for tasks like drafting content, summarizing documents, or assisting staff within existing business workflows and systems.

AI Integration and Enablement

Connect model outputs to the platforms teams already use so predictions and automations show up inside daily work and workflows at scale.

AI-driven Process Automation

Apply AI to repetitive, rules-based work where models can reduce manual effort, shorten cycle times, and improve consistency across key operations.

AI-driven Customer Experience

Use AI to tailor customer interactions, speed response times, and surface relevant context across support, sales, service, and accounts.

AI Governance and Risk Management

Establish controls for model oversight and review processes so AI is deployed responsibly, audited clearly, and monitored over time across teams.

Predictive Analytics

Deploy predictive models that help teams anticipate demand shifts and planning changes before they affect business results or service levels.

AI Adoption and Change Management

Prepare teams to use AI in practice through rollout planning, training, and support tied to new workflows, tools, business rules, and decisions at launch.

AI Performance and Optimization

Monitor model behavior against live results, then retrain or refine outputs as conditions shift and business needs evolve over time in production.

Looking for guidance about the perfect AI transformation service for your needs?

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PARTNERSHIP THAT WORKS

How We Deliver AI Transformation Services

Our AI transformation experts, with experience at leading companies, develop and deploy tailored solutions to meet your business needs and unique industry demands for sustainable results and long-term success.

Discover

A leader from our team works with you to understand your business challenges, pain points, and strategic goals to uncover new opportunities and identify the options to reach your objectives.

Define

Toptal leaders collaborate with your team to define your specific goals and service needs, evaluating multiple approaches and aligning requirements with your strategic objectives to define the best solution.

Develop

We will create your unique project timeline, process, and first drafts, whether your goal is to unlock business value through AI or scale intelligent capabilities across your organization.

Deploy

Toptal will get to work, tracking quality assurance, handling project management, and maintaining the delivery schedule.

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Robert Orshaw

CEO, Technology Services

As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 100 manufacturers.As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 100 manufacturers.

Previously At

CUSTOMIZED SOLUTIONS

AI Transformation Solutions That Deliver Value

Toptal delivers leading AI transformation services through its diverse talent network and flexible delivery models. We implement the right skills at each project phase, blending expertise from various roles for seamless execution.

End-to-End Delivery by Toptal
On-demand Talent & Teams

End-to-End Delivery by Toptal

Comprehensive project delivery, tailored to your specific requirements.

CEO, Technology Services

Delivery Manager

AI Product Manager

AI Engineering Lead

AI Consultant

Data Scientist

Digital Transformation Consultant

AI Product Architect

Robert Orshaw

CEO, Technology Services

Previously at

Technology Experience

35+ Years

Rachael Karaffa

Delivery Manager

Rachael serves as a Delivery Manager at Toptal with a focus on leading diverse global teams in developing innovative solutions for our clients. She works across multiple disciplines, including technology, marketing, and management consulting. Rachael specializes in managing people and client relationships, process optimization, and driving teams toward optimal business outcomes.

Previously Managed Client

Experience

9+ Years

Adrian Gonzalez

Verified Expert in Product Management

13+ Years

of Experience

AI Product Manager

With an engineering degree, two master's degrees, including an MBA, and the ability to speak four languages, Adrian has delivered as a product manager in North America, Latin America, and Europe on multiple innovation initiatives, including software development, AI strategy, project delivery, blockchain, geolocation, and Agile implementation. Adrian has extensive experience in technical and business roles and has worked in several industries: telecom, cloud native, supply chain, retail, fintech, and IT.

Previously at

Metti Paak

Verified Expert in Engineering

18+ Years

of Experience

AI Engineering Lead

Mehdi is a data scientist and machine learning/deep learning expert who has extensive experience in software development and mathematical/statistical modeling. He has worked in the aerospace, manufacturing, and healthcare industries developing custom, data-driven predictive software tools. He is proficient in translating business goals into data products and architecting the entire pipeline to the point of delivery. His work has led to multiple patents, publications, and successful fundraising.

Previously at

Matias Aiskovich

Verified Expert in Engineering

12+ Years

of Experience

AI Consultant

Matias is a machine learning engineer who's delivered creative solutions for social impact projects. His past experience includes working at IBM Research as a machine learning engineer (collaborating with IBM's Yorktown Heights research lab), co-founding a startup that develops research-backed cognitive games for the elderly (which was a provider for a Uruguayan government program), and working on several projects that use machine learning to innovate in the healthcare sector.

Previously at

Mohab Ayman

Verified Expert in Engineering

9+ Years

of Experience

Data Scientist

Mohab is a data scientist and machine learning developer who specializes in natural language processing (NLP) and computer vision. He has more than nine years of professional experience, and recent projects have focused on machine learning in the areas of natural language understanding (NLU), cheminformatics, and self-driving cars. Mohab stays current with cutting-edge advancements in deep learning.

Previously at

Gayemarie Brown

Verified Expert in Management Consulting

20+ Years

of Experience

Digital Transformation Consultant

Gayemarie is a management consultant with 20+ years of experience with global consulting firms focusing on digital transformation and AI. She is a sought-after advisor to Series A through C companies in AI, data, identity management, and MarTech. She has led M&A deals of $500+ million, working strategy, due diligence, Integration Management Office, and integrations. Gayemarie is a seasoned consultant dedicated to driving value.

Previously at

Lovro Iliassich

Verified Expert in Engineering

24+ Years

of Experience

AI Product Architect

Lovro is a machine learning engineer and data scientist with a strong enthusiasm for deep learning applications. By combining his academic knowledge with practical industry experience, he is able to contribute to every stage of the AI software development process. Lovro’s professional background spans startups, large corporations such as his engineering role at Amazon, and research positions in academic institutions and universities.

Previously at

On-demand Talent & Teams

20,000+ vetted professionals, ready to deploy individually or in teams.

AI Product Manager

Digital Transformation Consultant

AI Srategy Consultant

AI Consultant

Data Scientist

AI Consultant

AI Transformation Lead

Computer Vision Consultant

Verified Expert in Product Management

19+ Years

of Experience

AI Product Manager

Kristine is a product director with over a decade of experience. She garnered high ratings on the App Store and increased the NPS score by over 20% for a major car rental company. That app became the #1 car rental app of 2019. She has successfully launched or overhauled over ten products, both B2B and B2C. Her previous nine years of expertise includes project management, sourcing, operations, and research. Kristine excels at leading diverse teams through challenging builds and pivots.

Previously at

Verified Expert in Project Management

34+ Years

of Experience

Digital Transformation Consultant

Alan is an international insurance digital transformation strategist and implementer, currently based in the US. He has helped some of the world’s largest insurers figure out how to respond to new technologies and changing customer demands, to the benefit of both their customers and themselves. Alan has delivered in multiple roles as a program director, change director, program manager, project manager, and Scrum master.

Previously at

Verified Expert in Engineering

11+ Years

of Experience

AI Srategy Consultant

Horia’s industry experience extends across digital health, consumer finance, internet search, engineering software, and transportation logistics. He has more than 11 years of experience applying AI methods and approaches to tackle businesses problems. Horia's predictions for business applications of AI have been featured in CIO magazine and Forbes. He earned a master of science degree in statistics at Stanford University and two bachelor's degrees specializing in cognitive and computer science at UC Berkeley.

Previously at

Verified Expert in Engineering

18+ Years

of Experience

AI Consultant

Simone is a machine learning scientist and engineer with experience in academia and enterprises, including Microsoft and Huawei. He likes to work at the intersection of deep machine learning, natural language processing, and information retrieval. Simone also loves to work on exploration analysis and building theoretically sound machine learning pipelines ready for production. He especially enjoys building web products.

Previously at

Verified Expert in Engineering

5+ Years

of Experience

AI Consultant

Dragos is a passionate machine learning engineer with more than five years of experience in artificial intelligence. He is well-grounded in natural language processing, Python, and SQL. Dragos has an excellent knowledge of deep learning frameworks such as TensorFlow and PyTorch.

Previously at

Verified Expert in Engineering

13+ Years

of Experience

Data Scientist

With a PhD in physics, a background in mathematics, and more than 13 years of experience modeling real-world data, Teresa has the skills to fulfill any data science role. Teresa enjoys working on the whole pipeline, from data cleaning and analytics to a final predictive model, and she especially enjoys using machine learning models.

Previously at

Verified Expert in Engineering

9+ Years

of Experience

AI Consultant

Lorenzo is a senior software engineer experienced in building robust and scalable applications. He has worked at BMW Innovation Labs, CynaxLabs, DP World, Interjoin, and Deloitte, where he took responsibility for finding solutions to emerging challenges and implementing them seamlessly. With a background in mechanical engineering, Lorenzo is a critical thinker and a skillful software and AI developer eager to embrace new experiences.

Previously at

Verified Expert in Engineering

25+ Years

of Experience

AI Transformation Lead

Stephane possesses an impressive 25+ years of international experience in data analytics and business process optimization. Throughout his career, he has excelled in various areas, including database design, business intelligence (BI), machine learning algorithms, big data, and predictive analytics. Stephane's expertise lies in developing solutions that automate processes, allowing clients to allocate their efforts toward value-added activities.

Previously at

Verified Expert in Engineering

22+ Years

of Experience

Computer Vision Consultant

Along with earning a doctorate in computer science and engineering, Dilip has decades of experience in the industry. Since 2015, he's been focusing on projects related to machine learning and deep learning. Dilip has an eye for detail, which helps in working closely with domain scientists and improving the accuracy and reliability of models for fine-grained image classification, object detection and segmentation, natural language processing, time-series forecasting, and generative AI.

Previously at

Looking for guidance about the perfect AI transformation service for your needs?

Get a Free Consultation Now

Looking for guidance about the perfect AI transformation service for your needs?

UNRIVALED EXPERTISE

Our Talent Has Worked With Top Companies

Having previously worked with these leading global companies, our talent brings valuable insights and expertise to deliver world-class outcomes.

WHY ORGANIZATIONS CHOOSE US

Toptal in Action

Discover the cutting-edge benefits our clients enjoy from the global Toptal network.

Toptal accelerates Big Sur AI’s prototype, enabling $6.9M in funding and driving market growth.

Challenge: Founded by former Google executives, Big Sur AI aimed to revolutionize e-commerce with an AI-powered sales agent. To attract investors, they needed a fully functional prototype. While experts in back-end AI, they required a front-end specialist to create a seamless user interface.

Solution: Toptal quickly built a polished front-end interface that aligned with Big Sur AI’s vision, translating complex AI-powered back-end functionality into a seamless, intuitive UX. This enabled the company to present a fully functional prototype to investors on an accelerated timeline.

Outcome: By delivering a fully functional prototype in days, Toptal helped Big Sur AI cut weeks from their fundraising timeline and close $6.9M in investment. The company’s AI Sales Agent is available on Google Cloud Marketplace and is integrated with major e-commerce platforms like Shopify, Magento, and Salesforce.

[The Toptal talent] was instrumental in building the prototype and helped accelerate our time to raise funds by several weeks.

Vinod Kumar Ramachandran

Co-founder and CEO, Big Sur AI

Toptal Ranked #1 Most Reliable Professional Services Company in America

Newsweek and Statista’s rankings were based on an independent survey of more than 2,400 decision-makers at Fortune 500s.

IBM — Newsweek's Most Reliable Companies in America 2026 ranking. Toptal is ranked #11, the highest-ranked professional services firm.

See the Most Reliable Companies in America

Methodology for the Rankings

How likely the respondent is to recommend the selected company to others.

Measures the convenience of interaction with the company and efficiency of processes.

Measures the company’s cost-effectiveness and quality relative to price.

Measures whether the company consistently meets or exceeds expectations in quality and timeliness of deliverables.

Measures the company’s ability to consistently fulfill commitments and maintain customer trust.

See the Most Reliable Companies in America

Industry Insights

Explore Insights From the AI Transformation Field

Read the latest articles and resources to keep you current on emerging trends in AI strategy, machine learning, generative AI, and more.

The 4 Crucial Stages of Successful Generative AI Integration

Adoption of Gen AI is on the rise, but research suggests that only 10% of companies are successfully scaling their AI initiatives. In this article, an artificial intelligence and data analytics leader explains the key steps organizations must take to achieve their AI ambitions.

Chas Stikeleather

10 Years of Experience

Chas Stikeleather is an artificial intelligence and data analytics leader with experience at Bain & Company and Toptal. He has spent most of his career helping Fortune 500 companies, private equity firms, and SMBs across industries to optimize their data. Chas holds a bachelor’s degree in economics from Stetson University and a master’s degree in analytics from North Carolina State University.

Previously at