Top 7 AI Firms To Automate And Optimize Your Business Processes In 2026

Introduction

Businesses know they need to automate, but many don’t know where to start or which partner can truly make the difference.

As pressure to increase efficiency increases, traditional automation tools often fall short, leaving organizations stuck in a loop of underwhelming results. That’s why it’s not just about automation anymore; it’s about intelligent automation that scales with your business needs, unlocking efficiency, reducing errors, and empowering your teams to focus on higher-value work.

As the need for business process automation grows, the global BPA market is projected to grow from USD 16.32 billion in 2025 to USD 28.95 billion in 2029, reflecting the importance of the shift to intelligent automation.

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This guide dives into the best AI consulting firms for business process automation, including how firms like ELIYA are revolutionizing workflows with a blend of RPA, IPA, and AI. We’ll break down how to evaluate BPA partners, what sets each firm apart, and how to ensure you're getting measurable results.

What BPA Means in the Age of AI, RPA, IPA & Hyperautomation

Business process automation (BPA) refers to the use of technology to automate repetitive, manual tasks that form the backbone of business operations.

Traditionally, this included basic tasks like data entry or form filling. However, as the landscape evolves, AI, RPA, and Intelligent Process Automation (IPA) have revolutionized how businesses optimize workflows. Here’s how they differ:

• RPA (Robotic Process Automation): Primarily focused on automating rule-based, repetitive tasks with software bots.
• IPA (Intelligent Process Automation): Expands upon RPA by integrating AI capabilities such as machine learning, natural language processing, and decision-making. IPA enables more sophisticated automation across dynamic and complex tasks.
• AI-driven BPA: This approach integrates AI with business processes, enabling intelligent decision-making, anomaly detection, and learning from unstructured data.
• Hyperautomation: A holistic approach that combines RPA, IPA, AI, and other automation technologies to automate not only tasks but entire business processes and decision workflows.

According to McKinsey’s State of AI 2025 report, 88% of organizations now use AI in at least one business function, up from 78% a year earlier, signifying that AI adoption has become nearly universal in enterprise operations

As AI continues to evolve, Generative AI (GenAI) further enhances automation by enabling systems to understand unstructured data, perform reasoning tasks, and support decision-making. Businesses now need more than just RPA bots; they require expert guidance in creating intelligent workflows, which is where AI consulting firms come into play.

7 Best AI Consulting Firms for Business Process Automation in 2026

The best AI consulting firms for business process automation specialize in streamlining workflows using cutting-edge AI technologies. These firms design tailored solutions to enhance operational efficiency, reduce manual tasks, and improve decision-making.

They help businesses integrate automation tools seamlessly into existing systems, ensuring scalability and long-term growth. By adopting AI, companies can achieve cost savings, optimize processes, and future-proof their operations.

These firms also provide expert advice on industry-specific solutions, making them crucial partners for businesses looking to stay competitive and innovate in an increasingly automated world.

With worldwide AI spending expected to hit nearly $1.5 trillion in 2025, organizations increasingly need expert guidance to translate that investment into tangible process automation outcomes rather than fragmented pilot projects. Let’s take a look at the leading AI consulting firms for BPA in 2026:

1. ELIYA

ELIYA is a cutting-edge consulting firm specializing in AI-driven business process automation. By integrating RPA, IPA, and GenAI, they transform complex workflows across industries, driving efficiency, accuracy, and scalability. ELIYA takes a personalized approach to automation, tailoring solutions that adapt to unique business needs.

Their solutions focus on rapid deployment and measurable ROI, allowing organizations to quickly reap the benefits of automation while modernizing operations.

Industries Served: Finance, healthcare, supply chain, logistics, manufacturing, and professional services.

Strengths:

• ELIYA brings expertise in GenAI-powered automation, enabling organizations to handle unstructured data and automate decision-making tasks efficiently.
• The firm is known for rapid deployment of automation solutions, ensuring businesses see results within weeks, not months.
• They specialize in providing scalable solutions that grow with your business, ensuring sustained value over the long term.
• The firm has a strong focus on workflow orchestration, ensuring seamless integration of AI into existing systems for maximum efficiency.
• ELIYA leverages AI copilots to augment employee productivity, automating routine tasks and enabling teams to focus on higher-value activities.

Example Use Cases: ELIYA can help organizations automate routine finance processes, such as streamlining invoice processing and reconciliation, reducing manual errors, and speeding up month-end closing times.

Ready to see how AI-driven automation can streamline your operations? Book a call with ELIYA today.

2. IBM Consulting

IBM Consulting is a leader in delivering enterprise-grade automation solutions through its advanced WatsonX platform. Specializing in hybrid cloud environments and intelligent workflow automation, IBM is known for helping complex organizations integrate AI-driven solutions seamlessly across their systems. Their approach focuses on scalability and compliance, making them an ideal partner for enterprises operating in regulated sectors.

Industries Served: Finance, healthcare, manufacturing, and highly regulated industries.

Strengths:

• The firm offers deep integration capabilities with enterprise systems for seamless automation.
• They specialize in hybrid cloud expertise, offering scalable, flexible automation across environments.
• IBM has a proven track record in delivering intelligent workflow automation for large enterprises.
• The firm ensures AI-driven compliance monitoring, helping organizations adhere to industry regulations.

Example Use Cases: Large-scale workflow automation in financial reporting and compliance monitoring in healthcare.

3. Accenture

Accenture combines strategy, technology, and managed services to help organizations scale their digital transformations. With deep expertise in AiOps, IPA frameworks, and GenAI advisory, Accenture focuses on bringing AI into business strategies to drive innovation and automation. They excel in guiding enterprises through the complexities of digital transformations with a tailored approach to automation and innovation.

Industries Served: Various industries, including finance, manufacturing, and telecommunications.

Strengths:

• Accenture offers comprehensive digital transformation capabilities, combining strategy with AI integration.
• They have expertise in AIOps, optimizing operations with AI-driven insights.
• The firm specializes in custom IPA frameworks, enabling intelligent process automation.
• Accenture provides GenAI advisory services, helping organizations integrate next-gen AI solutions.

Example Use Cases: Customer service automation, financial forecasting, and supply chain optimization.

4. Deloitte

Deloitte is known for its robust governance frameworks and responsible AI practices, making it a trusted partner for companies in highly regulated industries. With deep knowledge in risk management and compliance, Deloitte specializes in automating complex processes with a focus on security and regulatory adherence. They offer a comprehensive suite of services designed to ensure automation is both effective and compliant.

Industries Served: Finance, public sector, insurance, and healthcare.

Strengths:

• Deloitte has strong governance frameworks, ensuring compliance with industry regulations.
• They specialize in responsible AI, prioritizing transparency and fairness in automation solutions.
• The firm integrates risk management capabilities into automation, safeguarding operations.
• Deloitte offers comprehensive internal control frameworks, supporting audit and compliance needs.

Example Use Cases: Financial reporting automation, claims management in insurance, and patient record management in healthcare.

5. Infosys

Infosys excels at modernizing large legacy systems by integrating AI and RPA/IPA solutions to streamline operations. Their expertise lies in data modernization and helping global enterprises transition to AI-driven automation without disrupting their core operations. Infosys has successfully supported companies in optimizing their supply chains and resource planning with scalable solutions.

Industries Served: Finance, retail, and manufacturing.

Strengths:

• Infosys specializes in AI-driven integration of legacy systems with modern automation tools.
• The firm has global delivery capabilities, ensuring consistent support across regions.
• Infosys leads in data modernization, improving data management and analytics across industries.
• They have strong expertise in RPA/IPA deployment, optimizing complex business workflows.

Example Use Cases: Supply chain automation and enterprise resource planning (ERP) system integration.

6. Cognizant

Cognizant specializes in workflow automation and customer operations, helping organizations optimize operations with AI-driven solutions. They focus heavily on supply chain automation and customer service processes, providing businesses with AI tools that automate routine tasks and improve operational efficiency. Their strong ecosystem of partners, including UiPath and Automation Anywhere, enhances their offerings.

Industries Served: Manufacturing, supply chain, and healthcare.

Strengths:

• Cognizant has expertise in AI-driven workflow automation, streamlining business processes.
• The firm boasts a strong partner ecosystem with leading automation platforms like UiPath and Automation Anywhere.
• They offer customer operations automation, enhancing service efficiency and customer satisfaction.
• Cognizant specializes in supply chain process optimization, reducing costs and increasing operational speed.

Example Use Cases: Automating customer service interactions, procurement processes, and inventory management.

7. Capgemini

Capgemini is a leader in modular hyperautomation frameworks that integrate analytics, AI, and automation to optimize business operations. They focus on industries like manufacturing, automotive, and retail, where automation can significantly enhance supply chain operations and customer experiences. Capgemini’s approach is highly modular, offering flexible solutions that can be tailored to specific business needs.

Industries Served: Manufacturing, automotive, retail, and energy.

Strengths:

• Capgemini offers modular hyperautomation frameworks, providing customizable automation solutions.
• The firm specializes in AI-powered automation, integrated with advanced analytics to drive actionable insights.
• Capgemini has industry-specific expertise, optimizing processes in manufacturing, retail, and more.
• They provide end-to-end solutions, from automation design to execution and scaling.

Example Use Cases: Supply chain optimization in manufacturing, inventory management in retail, and automated production lines.

How These Firms Approach BPA: Typical Workflow & Methodology

Choosing the right consulting firm for business process automation (BPA) isn’t just about finding a vendor; it’s about understanding how they work and whether their methodology aligns with your goals.

As firms refine their business process automation strategies, they are increasingly leveraging agent‑based AI systems that can perform multi‑step processes. In fact, 23% of organizations are now scaling these advanced AI systems, which is driving modern BPA use cases toward more complex, intelligent workflows.

When you partner with an AI consulting firm like ELIYA, they’ll take you through a series of phases designed to ensure smooth implementation and long-term success. Here’s a look at the typical steps firms follow when executing BPA:

1. Discovery & Process Audit Phase

The journey begins with a deep dive into your current workflows. Consultants will perform a thorough process audit, assessing your existing systems, identifying bottlenecks, and uncovering inefficiencies that could be streamlined.

Using techniques like process mining, they’ll map out your workflows in detail, helping you see where automation will make the biggest impact. This phase helps identify which processes are prime candidates for automation and where you can achieve the most value.

2. Strategy & Roadmap Development

Once the audit is complete, firms move into strategy development. Here, they collaborate closely with you to define clear automation goals that align with your business objectives. The aim is to craft a custom roadmap tailored specifically to your needs.

This roadmap will outline key use cases, timeline expectations, and a clear ROI forecast. Think of it as the blueprint for your automation journey, a step-by-step plan that not only sets expectations but also ensures you’re targeting processes that deliver maximum value.

3. Implementation: RPA, IPA, GenAI, Hybrid Automation

With the strategy in place, it’s time for action. During the implementation phase, firms will deploy the necessary automation solutions, which can range from RPA bots to IPA-driven workflows, or even more advanced GenAI-powered systems.

The idea is to integrate automation where it will have the greatest impact, whether that’s reducing manual work, optimizing decision-making, or accelerating data processing. In many cases, firms will combine these technologies to create a hybrid automation system that adapts to your business's unique needs and scale.

4. Integration with Enterprise Systems & Compliance

A big part of making automation work is ensuring it integrates seamlessly with your existing systems, like ERP, CRM, or HRIS platforms. Consultants will work to ensure that the automation is fully embedded within your existing tech stack, minimizing disruption.

More importantly, they’ll make sure the automation is compliant with all regulatory requirements, helping your business stay aligned with industry standards and internal policies. This phase guarantees that automation works within the framework of your organization’s rules.

5. Training, Change Management & Knowledge Transfer

Technology alone isn’t enough; people are the key to success. Consultants will guide you through training and change management to ensure smooth adoption of the new systems.

Whether it’s teaching your team how to interact with AI-powered bots or helping them transition to more automated workflows, this phase ensures that the human element of automation is just as effective as the technology. Plus, it sets your team up for long-term success, empowering them to take full ownership of the automated processes.

6. Monitoring, Scaling & Continuous Improvement

Once automation is in place, the work doesn’t stop there. Ongoing monitoring is essential to track the performance of your bots and AI models. Firms will keep a close eye on the system to ensure that it’s continuing to deliver the promised results.

Scaling comes next; as your needs grow, automation can expand with you. Over time, the system will evolve to tackle new challenges, continuously improving and optimizing the way your business operates. Think of this as continuous refinement, to help you expand automation as your business needs evolve, ensuring long-term, sustained ROI.

Criteria to Evaluate When Selecting an AI Automation Consulting Partner

Gartner forecasts that by 2026, 30% of enterprises will automate more than half of their network activities, up sharply from under 10% in 2023, illustrating that deep automation is accelerating, but requires sophisticated planning and execution.

Choosing the right AI automation consulting partner is crucial to ensuring the success of your automation strategy. With the right expertise and approach, a consulting firm can help you optimize processes and unlock real business value.

Here are the most important factors to consider:

1. Industry Expertise & Domain Knowledge: A consultant with deep industry-specific expertise understands your challenges and can offer customized solutions that truly address your business needs. Industry knowledge helps ensure that automation strategies are aligned with best practices for your sector.
2. Technical Capabilities Across RPA, IPA, & GenAI: Look for a firm that can provide a range of automation technologies, including RPA for task automation, IPA for intelligent decision-making, and GenAI for handling complex, unstructured data. The ability to seamlessly integrate these technologies with your existing systems is key to long-term success.
3. Proven Track Record with Measurable ROI: A strong consulting partner will have case studies or success stories demonstrating their ability to deliver measurable results. Look for firms that can show how their automation solutions directly improved efficiency, reduced costs, and generated a positive ROI.
4. Security & Compliance: Ensure the firm understands data privacy and regulatory compliance, especially if you’re in a highly regulated industry like finance or healthcare. The best consultants ensure that your automation solutions meet the required standards for security and regulatory compliance.
5. End-to-End Support & Scalability: Your partner should offer comprehensive support from discovery and strategy development all the way through implementation and scaling. Automation needs to grow with your business, so make sure the consultant provides scalable solutions that can adapt to future challenges.
6. Transparent Pricing & Value Alignment: A great consultant should offer clear, transparent pricing with no hidden costs, ensuring their services fit within your budget. Look for firms that outline the scope of work upfront and align pricing with the value they deliver.

At ELIYA, we understand that selecting the right AI automation consulting partner is a critical decision for your business. With our expertise in RPA, IPA, and GenAI, we offer end-to-end support, from audit to scaling, ensuring that your automation journey is not only efficient but also secure and compliant.

If you’re ready to take the next step, book a call with ELIYA today to discuss how we can help transform your workflows with intelligent automation.

Conclusion

Business process automation is the key to unlocking efficiency and growth, but it’s only effective if executed strategically. To make automation truly work for your business, the next step is critical: taking action.

At ELIYA, we make it easy to translate your automation vision into reality. After reaching out to us, our team will collaborate with you to craft a personalized automation strategy that’s tailored to your business.

We’ll map out a clear, actionable roadmap, select the right technologies like RPA, IPA, and GenAI, and ensure a seamless implementation that aligns with your goals. The aim is to ensure that the automation drives measurable results and supports your long-term growth.

If you're ready to transform your workflows, unlock efficiency, and achieve scalable success, schedule a free strategy call with us today. Let’s discuss how ELIYA can help you accelerate your automation journey and deliver measurable results.

FAQs

1. What are the best AI consulting firms for business process automation?

The best AI consulting firms for business process automation specialize in integrating advanced AI technologies to streamline operations, enhance decision-making, and improve efficiency. These firms offer customized solutions to automate repetitive tasks and optimize business processes. Leading firms include experts with industry-specific knowledge to drive transformation in sectors such as healthcare, finance, and manufacturing.

2. How do AI consulting firms help automate business processes?

AI consulting firms help automate business processes by analyzing workflows and identifying areas where AI can improve efficiency. They design and implement AI-driven solutions such as robotic process automation (RPA), machine learning models, and AI-powered analytics to automate repetitive tasks, reduce errors, and enhance decision-making.

3. What are the benefits of automating business processes with AI?

Automating business processes with AI offers several benefits, including increased efficiency, reduced operational costs, enhanced accuracy, and improved decision-making. AI can also drive scalability, allowing businesses to grow without significantly increasing labor costs. Additionally, AI helps businesses stay competitive by enabling faster response times and better customer service.

4. What AI tools do consulting firms recommend for business process automation?

AI consulting firms often recommend tools like robotic process automation (RPA) software, AI-driven analytics platforms, and machine learning algorithms. These tools help businesses automate routine tasks, analyze large datasets for insights, and make data-driven decisions. Popular AI tools include UiPath for RPA, TensorFlow for machine learning, and Microsoft Power BI for business intelligence.

5. How do AI consulting firms ensure the scalability of automation solutions?

AI consulting firms ensure the scalability of automation solutions by designing flexible, cloud-based architectures that can grow with the business. They implement AI tools and strategies that can be easily integrated into existing systems and adapted as business needs evolve. Scalability is also supported by the use of modular AI solutions that can handle increasing volumes of data and more complex tasks over time.

6. How can AI consulting help improve workflow efficiency in my business?

AI consulting firms can improve workflow efficiency by analyzing your current processes, identifying bottlenecks, and automating manual tasks. By implementing AI-driven solutions such as machine learning for predictive analytics, businesses can streamline decision-making, reduce delays, and enhance productivity across departments.