Businesses are entering one of the most active periods of technological change since the first industrial revolution. Inefficient operations, high labor costs, and strict regulatory compliance are pushing legacy systems to the limit, including traditional automation and robotic Process automation (RPA).
Legacy systems often use pre-defined rules, which have limited their ability to adapt to new and different inputs. This is why many organizations are struggling with inefficient operations and error-prone automation, leading them to seek AI business process management (BPM) solutions. According to Grand View Research, the global BPM market will grow at a CAGR of 20.3% through 2030, reaching $61.2 billion. As businesses move toward AI, managed services providers (MSPs) have an opportunity to help their clients build smarter, more compliant operations.
AI BPM delivers
While traditional AI BPM integrates smart intelligence into workflows, 2026 marks the era of Agentic AI—autonomous systems that do not just suggest the next step but independently orchestrate tasks across multiple systems to achieve a specific business objective.
When it comes to traditional BPM and RPA, these two can automate repetitive tasks but may fall short in handling exceptions, complex compliance requirements, and unstructured data. However, AI and agentic AI BPM overcome these limitations by integrating machine learning, analytics, and intelligent decision-making directly into workflows.
MSPs offer software solutions that learn and improve with time. Unlike rule-based bots, they can deliver real-time decisions even with complex data. AI BPM introduces adaptable workflows, smart decision-making, and real-time synthesis of unstructured data.
Strategic value of advanced AI-powered BPM
Here is why AI BPM matters:
- Scale capacity without increasing headcount: MSPs can support businesses, enabling them to manage more work with fewer employees.
- Overcome traditional automation’s failings: Advanced AI BPM can precisely interpret emails, documents, and unstructured data, resulting in more accurate analysis.
- Ensure continuous compliance: Built-in risk alerts and audit trails provide greater transparency and reliability for regulated industries such as finance, healthcare, and insurance.
The organizations that have moved to AI solutions are seeing lower expenses than those that have been slow to act. Bain & Company reports that AI automation early adopters reduced workflow costs by 22% in 2023, compared with only 8% for companies that lagged in the technology revolution.
Implementation challenges
When companies decide on a digital transformation upgrade, they often face the same decision: build a custom solution or buy a third-party product.
A custom platform by the right MSP or solution provider fits your business, meets industry standards, and gives you ownership of the source code, but it may require more upfront costs and a longer rollout time. However, it may save you money because you won’t have recurring subscription fees.
In contrast, buying a platform may provide a proven industry system with lower upfront costs and faster implementation, but it often lacks the customization needed to meet your specific requirements. It can also have monthly fees that build up over time.
Because of this conundrum, many organizations choose a hybrid approach by hiring a solution provider to customize both existing systems and new platforms. If you customize a third-party system, select a provider with expertise in AI technologies, your industry, and your vendor’s product.
High-impact ROI
When companies are looking to upgrade their operations with AI, here are the higher ROI projects they should consider:
- Automate customer service: Defuse potential escalations and shorten the response time.
- Streamline claims processing: Drive faster outcomes with accuracy and audit confidence.
- Optimize invoice management: Minimize mistakes and accelerate cash flow.
- Digitize loan origination: Streamline document intake and automate risk analysis.
- Refine onboarding workflows: Eliminate redundant touchpoints and optimize all the workforce processes and customer journeys.
2026 outlook: The future of MSPs in AI automation
2026 is all about strict regulations, cost constraints, and mature technologies. Businesses always want to grow, and if regulated, they must stay compliant. This is a big reason MSPs, who offer advanced BPM services or partner with a vetted solution provider, are likely to find a market eager for their expertise.
As companies need advanced technical skills beyond their in-house IT team, they must turn to specialized providers. MSPs will not only address these new challenges but will also shape the future of automation to deliver long-term client success.
The shift toward the next generation of BPM represents an evolution in modern operations. This is the key for MSPs to move beyond reactive troubleshooting to becoming indispensable strategic partners. By adding AI and agentic AI BPM, MSPs do not just solve today’s business challenges; they build the foundation for their clients’ long-term success in an increasingly automated world.
