AI Automation Services

AI Automation Services – Reduce Manual Work With AI

Apply AI to everyday work with Toptal’s AI Automation Services. Our AI consultants develop intelligent agents, conversational tools, and data-driven automation that reduce manual effort and help organizations work more efficiently.

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Clients Served

35,000+

Total Vetted Professionals

30,000+

AI & Big Data Experts

2,000+

AI & Data Project Hours Delivered

250,000+

TRUSTED BY LEADING BRANDS

Our Services

Toptal AI Automation Services

Explore opportunities to apply AI across your organization. Toptal’s AI consultants assess existing technologies and develop solutions ranging from automated workflows to predictive models.

AI Automation Assessment

Evaluate tasks to identify where AI can reduce manual effort, improve accuracy, or introduce new capabilities.

AI Agent Development

Develop AI agents that use connected tools and information to complete multistep tasks and respond to changing inputs.

Robotic Process Automation

Automate predictable, rules-based work with robotic process automation (RPA) bots that transfer information and complete repetitive actions across software applications.

Workflow Automation

Connect applications to reduce repetitive work, minimize manual handoffs, and keep processes moving between people and technology.

Intelligent Document Processing

Use AI to extract information from invoices and other documents to reduce manual data entry and make the information easier to process.

Chatbot and Voice Automation

Handle customer or employee requests through AI-powered chat and voice tools, with alerts to human staff when additional help is required.

Sales and Marketing Automation

Automate activities such as lead qualification and customer outreach to reduce administrative work for sales and marketing teams.

Customer Service Automation

Resolve straightforward customer requests automatically and direct more complex issues to employees with the context needed to help.

Predictive Automation

Use machine learning to forecast demand, detect potential issues, and trigger automated responses based on predicted outcomes.

Automated Data Pipelines

Develop pipelines that collect and deliver data for analytics, reporting, and machine learning applications.

Automation Integration

Connect AI agents and automated tools to existing applications to retrieve, update, and exchange information.

MLOps and Support

Monitor AI models and connected tools after deployment to address performance issues and update integrations as technologies change.

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

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PARTNERSHIP THAT WORKS

How We Deliver AI Automation Services

Our AI automation 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 deploy AI agents, automate customer interactions, or use predictive analytics to improve decision-making.

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 500 companies.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 500 companies.

Previously At

CUSTOMIZED SOLUTIONS

AI Automation Solutions That Deliver Value

Toptal delivers leading AI automation 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

Principal AI Engineer

Data Engineer

AI Engineer

AI Researcher

AI Product Manager

Data Scientist

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

Gabriel Tavares de Souza

Verified Expert in Engineering

19+ Years

of Experience

Principal AI Engineer

Gabriel is a principal engineer and AI systems architect with 19+ years of experience delivering production-grade software across AI, cloud, and distributed systems. He specializes in RAG pipelines, agent-based workflows, and scalable back-end architectures, with a strong focus on reliability, latency, and cost control. Gabriel thrives on high-complexity projects that require senior technical ownership from concept to production.

Previously at

Ram Verma

Verified Expert in Engineering

9+ Years

of Experience

Data Engineer

Ram has over four years of professional experience architecting and leading the development of engineering solutions with an emphasis on object-oriented design and software infrastructure debugging. He specializes in Java and Python back-end development of large-scale systems, cloud migrations, microservices, and data pipeline processes. Ram's expertise includes developing business plans and requirements specifications and leading technical projects with strong inter-team communication.

Previously at

Victor Krim

Verified Expert in Engineering

5+ Years

of Experience

AI Engineer

Victor is a senior full-stack engineer with 5 years of experience in machine learning and scalable web infrastructure for clients, including OpenAI, NexusBee, and McGill Genome Centre. His primary expertise is in React, Kubernetes, and AWS for the technology and research industries, where he thrives in distributed cloud environments. He reduced the Largest Contentful Paint by approximately 30% while at OpenAI.

Previously at

Simon Geisler

Verified Expert in Engineering

14+ Years

of Experience

AI Researcher

Simon is an AI and data science professional with more than 14 years of experience in data science, data engineering, software engineering, and system architecture design in the public cloud (products scaled to 10+ million users). In Germany and Silicon Valley, he worked on spatio-temporal IoT, natural language processing, and computer vision projects. Besides his strong affinity to modeling algorithms, Simon confidently develops production-grade microservices, Spark, and Kafka Streams apps.

Previously at

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

A. Rosa Castillo, PhD

Verified Expert in Engineering

14+ Years

of Experience

Data Scientist

Rosa is a full-stack developer and data scientist with a PhD, solid research skills, and extensive software engineering experience. Combining the academy and industry approaches to data sciences, she can contribute to the whole data pipeline—from exploratory data analysis to prototyping and production. Rosa has also efficiently worked on projects across different countries using her professional English, Italian, German, and Spanish proficiency.

Previously at

On-demand Talent & Teams

30,000+ vetted professionals, ready to deploy individually or in teams.

Deep Learning Developer

AI Engineer

Generative AI Developer

Machine Learning Developer

Machine Learning Engineer

Machine Learning Developer

AI Consultant

Data Engineer

Machine Learning Engineer

Verified Expert in Engineering

22+ Years

of Experience

Deep Learning Developer

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

Verified Expert in Engineering

10+ Years

of Experience

AI Engineer

Abay is an AI engineer and tech leader specializing in computer vision and scalable AI systems. At Apple, he led the development of a global, multi-million-dollar computer vision product. He drove the technical vision as CTO and co-founder of Gridlines (raised $1 million). At Docme.ai, he created models measuring vital signs via an iPhone camera. At Copycopter.ai, he developed scalable AI for video and image generation. Abay leads a community of over 3,000 AI enthusiasts.

Previously at

Verified Expert in Engineering

12+ Years

of Experience

Generative AI Developer

Isaac brings extensive experience in applying machine learning (ML), including Generative AI (GenAI), across diverse fields and complex challenges. He has worked on ML applications in ad security, supply chain management, business analytics, image tracking, healthcare technology, hardware, and failure prediction. Isaac has successfully led teams and managed projects from initial conception through full deployment in both startup and enterprise environments.

Previously at

Verified Expert in Engineering

13+ Years

of Experience

Machine Learning Developer

David has extensive experience in building machine learning and deep learning (DL) solutions at top companies, including Apple, Google, and Facebook, unicorn startups, and academia, as he has a PhD from Carnegie Mellon U. He holds multiple patents in DL-based medical imaging tech and large-scale AI systems. David has grown an AI team to 60+ as the director and tech lead.

Previously at

Verified Expert in Engineering

12+ Years

of Experience

Machine Learning Engineer

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

Verified Expert in Engineering

24+ Years

of Experience

Machine Learning Developer

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

Verified Expert in Engineering

20+ Years

of Experience

AI Consultant

With over 20 data science and AI projects delivered for startups, enterprises, and academia, Sam offers a unique expertise blend as a senior AI consultant skilled in both hands-on engineering work and leadership roles with a special focus on team leading, project management, and thought leadership. By exploring the AI field from diverse perspectives and through varied projects, Sam is interested and committed to developing AI initiatives where growth, impact, and kindness are all at the center.

Previously at

Verified Expert in Engineering

6+ Years

of Experience

Data Engineer

Karanpreet is an experienced data engineer with a solid background in working with multiple leading international enterprise clients across the retail and investment banking domain.

Previously at

Verified Expert in Engineering

12+ Years

of Experience

Machine Learning Engineer

Filip is a machine learning engineer with many years of professional experience. He has worked on large-scale problems at Amazon Web Services as a software developer, and built natural language processing models as a research associate at the University of Zagreb. Filip’s main interests are machine learning and natural language processing, with an emphasis on building text classification models.

Previously at

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

Get a Free Consultation Now

Looking for guidance about the perfect AI automation 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 builds AI agents that cut shipping quote time by more than 90% for a logistics technology company.

Challenge: The company relied on a manual process to prepare shipping quotes for customers. Employees handled more than 30 requests each day, contacting airlines, gathering rates, calculating margins, and preparing responses. Each quote took 30 to 40 minutes to complete, slowing customer response times and limiting the number of requests the company could process.

Solution: Toptal built AI agents to classify incoming requests, extract shipment details, determine routes, retrieve current airline rates, and generate customer-ready quotes. The team integrated the Python-based automation into an Outlook side panel, allowing employees to review and send completed quotes directly from their existing email workflows.

Outcome: The automated process reduced quote turnaround from more than 30 minutes to three minutes or less, a reduction of more than 90%. Employees could spend less time assembling individual quotes and respond to a higher volume of customer requests through the integrated platform.

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 Automation Field

Read the latest articles and resources on AI automation, with practical insights into AI agents, intelligent document processing, predictive automation, and more.

Enterprise AI Agents: Common Roadblocks and How to Overcome Them

AI agents promise autonomy at scale, but many organizations fail to deploy them in day-to-day operations. Drawing on decades of experience in business strategy and technology, two Toptal leaders explore what it takes to bring AI agents into real workflows.

Jeff Mills

Chief Customer Officer, AI Services

25 Years of Experience

Jeff is Toptal’s Chief Customer Officer for AI Services, where he helps enterprises adopt and integrate AI at scale. Prior to Toptal, Jeff spent nearly a decade at iMerit, most recently as president, where he led global customer experience and revenue initiatives supporting Fortune 1000 companies across autonomous vehicles, medical imaging, robotics, and frontier AI platforms. Earlier in his career, he held leadership roles at Criteo, Gengo, and 1-Page, and began his career at Yahoo. Jeff attended the Stanford University Graduate School of Business Executive Program in 2021.

Previously at