Sage used its Sage Future 2026 event in Atlanta to set out a clear direction for the next phase of AI adoption in business software: greater transparency, stronger accountability and deeper integration into everyday workflows.
As organizations move from AI experimentation to operational deployment, trust is becoming a central requirement. For finance, HR and operations teams, the question is no longer only whether AI can automate tasks, but whether it can support business-critical processes in a way that is visible, explainable and governed.
At Sage Future 2026, Sage positioned its approach around “glass box” AI, an alternative to opaque systems that do not clearly show how outputs are generated. The company’s message was that AI adoption will depend on systems that can show their work, keep humans in control of important decisions and provide traceability from input to outcome.
Trust Becomes the Defining Factor in AI Adoption
The connecting theme across Sage’s announcements was the need to make AI practical for real-world business environments. In finance and operational settings, automation alone is not enough. Leaders also need confidence that AI-driven recommendations and actions can be reviewed, understood and managed.
Sage highlighted its work with PwC to support a shift from “black box” to “glass box” AI in finance. This reflects a broader industry challenge: many businesses see the potential of AI, but adoption can slow when systems lack transparency or when users cannot clearly understand how decisions are being supported.
By emphasizing human oversight, auditability and explainability, Sage is positioning trust not as a supporting feature, but as a core requirement for AI at scale.
Expanding the Ecosystem Around AI Implementation
Sage Future 2026 also underscored the importance of partnerships and implementation capability in making AI useful beyond product demonstrations. The company announced an agentic AI delivery model with PwC for Sage Intacct implementations, designed to reduce manual work during deployment and help customers realize value more quickly.
Sage also deepened its collaboration with AWS to accelerate agentic AI and cloud transformation for small and mid-sized businesses. The expanded collaboration is intended to make it easier for organizations to adopt AI-powered financial management, migrate to the cloud and access new solutions through AWS Marketplace.
Another significant move was Sage’s acquisition of Doyen AI. The acquisition adds AI-enabled migration and implementation capabilities to Sage’s portfolio, supporting customers and partners as they move from legacy systems to modern cloud solutions.
Together, these announcements point to a broader strategy: reducing the friction that often prevents organizations from moving from interest in AI to practical adoption.
Embedded AI Moves Into Daily Business Workflows
Sage’s product announcements showed how the company is embedding AI across finance, HR and operations rather than treating it as a separate layer. The company introduced expanded AI agents designed to automate workflows and help teams move from analysis to action with greater speed, clarity and control.
In finance, Sage announced new AI-powered capabilities for Sage Intacct Advisory, aimed at helping accounting firms deliver more consistent and scalable advisory services. Sage also introduced new Sage Intacct capabilities that bring core finance and industry workflows together, reducing fragmentation and giving finance teams greater visibility and real-time insight across operations.
In HR, Sage launched Sage HCM, a new solution that connects HR, payroll and finance for mid-market businesses. Integrated with Sage Intacct, the solution combines AI-powered workflow automation with industry-specific capabilities, including a construction-focused offering.
This direction reflects a wider shift in enterprise software. AI is increasingly being embedded directly into the systems where work already happens, rather than being deployed as a standalone tool that requires users to move between disconnected environments.
Why This Matters for SMBs and Mid-Market Organizations
For small and mid-sized businesses, AI has the potential to reduce manual work, improve accuracy and support faster decision-making. However, these organizations often face constraints around implementation capacity, skills and governance. That makes practical usability as important as technical capability.
Sage’s focus on transparent AI, connected workflows and ecosystem-supported implementation is designed to address these barriers. By integrating AI into finance, HR and operational processes while maintaining human oversight, Sage is aligning its roadmap with the needs of organizations that want efficiency gains without losing control.
The emphasis on “glass box” AI also speaks to a larger market expectation. As AI becomes more embedded in financial and operational systems, businesses will increasingly look for solutions that provide clarity, not just automation.
The Next Phase of Trusted AI in Business Workflows
Sage Future 2026 presented a consistent message: the next stage of AI adoption will be shaped by trust, transparency and execution. The announcements around Sage Intacct, Sage HCM, PwC, AWS and Doyen AI suggest that Sage is building its AI strategy around real-world adoption rather than abstract innovation.
For finance, HR and operations leaders, this signals an important evolution in enterprise software. AI is becoming less about isolated capabilities and more about trusted systems that support everyday decisions, reduce friction and help teams act with greater confidence.
Sage Future 2027 is scheduled to take place in Chicago, Illinois, from April 27–29, 2027.
ERP News Editorial Team
The ERPNews Editorial Team covers global developments in ERP (Enterprise Resource Planning), enterprise software, cloud platforms, AI, automation, and digital transformation, providing independent news and editorial analysis for senior business and technology leaders. Our reporting focuses on market signals, strategic shifts, and enterprise impact across the ERP and enterprise technology ecosystem.
For editorial inquiries, please contact:
đź“© [email protected]
