In 2026, the role of AI in business workflows has evolved far beyond chatbots and simple automation. Organizations now demand intelligent systems that not only process data but also help make decisions and act on them. At the forefront of this evolution is Peak, a British AI company specializing in enterprise-grade AI workflows and decision intelligence — a category of software that blends advanced data science, machine learning, and automation to deliver real-world business outcomes.

Founded in 2015 in Manchester, England, Peak was built with a vision to create a unified AI platform that allows companies to build, orchestrate, and deploy AI workflows that drive better decisions and operational efficiency across their business. Through its platform, data scientists and business leaders alike can create, run, and monitor AI-powered workflows that connect disparate data sources, automate decision-making, and integrate outcomes directly into existing systems.

In March 2025, Peak’s journey reached a major milestone when it was acquired by UiPath, one of the world’s leading automation and agentic AI software companies. This acquisition marked a strategic convergence between decision intelligence and enterprise automation, reinforcing a broader industry shift toward AI systems that not only analyze data but also act autonomously on insights.

What Peak’s AI Workflow Platform Does

Peak’s offering is centered on an AI workflow SaaS platform that helps companies make better decisions using data at scale, without needing a massive in-house AI team. Unlike traditional rule-based tools, Peak’s system uses machine learning and advanced analytics to drive recommendations, predictions, and automated outcomes. It’s designed to be flexible, scalable, and adaptable to any industry or business process.

AI Workflows and Decisioning

At the core of Peak’s platform is its ability to turn raw data into actionable AI workflows:

• Data ingestion and integration: The platform pulls in data from across the organization — from CRM and ERP systems to third-party sources — breaking down silos so AI models can operate on a unified dataset.
• Predictive and prescriptive intelligence: Once data is integrated, Peak’s AI models generate predictions, insights, and recommendations tailored to specific business objectives — whether that’s forecasting demand, optimizing pricing, or improving operational efficiency.
• Decision visualization and action: Tools like Work provide dashboards and interfaces that allow business teams to understand and act on AI recommendations directly, closing the loop between insight and execution.

This combination — of building, running, and operationalizing AI workflows in one SaaS platform — is what sets Peak apart from traditional analytics and automation tools. It democratizes access to AI by enabling workflows that directly tie intelligence to business decisions without requiring deep technical expertise.

Why the UiPath Acquisition Matters

Peak’s integration with UiPath accelerated its mission to embed agentic AI solutions — workflows that can predict, decide, and act — into enterprise automation. UiPath, known for its robotic process automation (RPA) and agentic AI orchestration, saw Peak’s decision intelligence technology as a critical complement to its own suite.

The combined capabilities enable:

• Autonomous business workflows: AI workflows that can both analyze complex data patterns and trigger automated actions across software systems.
• Industry-specific AI optimization: For sectors like retail and manufacturing, Peak’s models help with optimization tasks like inventory planning, pricing strategies, and demand forecasting — all tied directly into automation pipelines.
• Enterprise scale and global reach: With UiPath’s global footprint, Peak’s technology can be deployed across larger customer bases and diverse operational contexts faster than before.

This shift reflects a larger trend in 2026: enterprises increasingly expect AI not just to generate insights, but to drive decisions and automate outcomes at scale — a capability now at the heart of Peak’s SaaS platform.

Real-World Applications of Peak’s AI Workflow SaaS

Peak’s platform is versatile and can be applied across numerous business functions:

Optimizing Supply Chains and Pricing

AI models help companies forecast demand, balance inventory, and determine optimal pricing strategies — outcomes that traditionally required manual analysis and extensive data science teams. Through AI workflows, businesses can predict trends, test scenarios, and adjust strategies in real time using automated processes.

Commercial Decisioning and Forecasting

Commercial teams use the platform to evaluate market conditions, assess risks, and prioritize actions. Instead of relying solely on intuition or static reports, they operate with AI-guided recommendations that are continuously updated as new data arrives.

Seamless Integration With Existing Business Systems

The platform integrates via APIs into enterprise systems like ERPs and CDPs, making AI-powered workflows part of everyday operations rather than siloed experiments. This streamlines adoption and embeds intelligence into core business processes.

Broader Trends in AI Workflow SaaS and Enterprise Adoption

Peak’s evolution mirrors a larger shift across industries:

• AI as a decisioning layer: More companies are moving beyond dashboards and reports to AI platforms that influence real business choices — from pricing to supply management.
• Automation meets intelligence: The future of enterprise software isn’t just automation or analytics — it’s intelligent automation that uses data science to make, justify, and act on decisions.
• AI accessibility and democratization: SaaS platforms like Peak are lowering barriers for businesses to adopt AI workflows without hiring large data science teams, enabling faster time-to-value and broader adoption.

Conclusion

In 2026, the lines between AI, automation, and business operations are dissolving. Companies no longer want tools that provide information — they want systems that deliver insights and actions reliably and at scale. Peak’s AI workflow SaaS is a prime example of this shift: a platform that empowers businesses to build sophisticated AI workflows, embed decisions into operations, and harness automation to drive real outcomes.

The combination of decision intelligence and agentic automation — especially following its integration with UiPath — shows how AI workflow platforms are evolving from experimental tools into essential infrastructure for modern enterprises. For anyone building, scaling, or working within data-driven businesses, mastering AI workflows will be as fundamental as understanding CRM or ERP systems once were.

Frequently Asked Questions

What exactly is Peak’s AI workflow SaaS platform?
Peak’s platform enables businesses to build, deploy, and monitor AI workflows that convert data into predictive insights and operational decisions, all within a unified SaaS product.

Why does Peak matter in 2026?
As enterprises demand actionable AI, platforms like Peak bridge the gap between data science and business outcomes by automating decision-making processes.

How does Peak integrate with business systems?
The platform connects to existing systems such as ERP or CRM and enhances them with tailored AI insights and workflows without needing major infrastructure changes.

What’s the significance of Peak’s acquisition by UiPath?
It combines Peak’s decision intelligence with UiPath’s AI and automation orchestration capabilities, enabling end-to-end AI-driven workflows and smarter enterprise automation.

What industries benefit most from Peak’s technology?
Retail, manufacturing, supply chain management, and commercial operations are among the top sectors using Peak’s AI workflows for forecasting, pricing, and operational optimization.