Sage has announced an expansion of its developer platform with new Artificial Intelligence tools and commercial models designed to accelerate the creation of solutions on its products for accounting, finance, human resources, and payroll. The company showcased these innovations at Sage Future in San Francisco, delivering a clear message to its partner network: making it easier, more integrated, and more profitable to create, test, and sell extensions for Sage.
This move impacts products like Sage Intacct, Sage X3, and Sage Active, aiming to unify the development experience so that partners don’t have to work with fragmented processes across each product. For end-user companies, the promise is earlier access to connected tools, more useful automations, and solutions tailored to their real financial and operational workflows.
Sage Agent Builder and AI Gateway, the two key components
The most significant part of the announcement involves new AI development tools. Sage introduced Sage Agent Builder and AI Gateway, two capabilities aimed at enabling partners and developers to create experiences with agents within Sage workflows, including Sage Copilot and Sage Marketplace.
Sage Agent Builder focuses on creating specialized agents—assistants capable of performing specific tasks within business processes, such as reviewing financial data, aiding in reconciliations, preparing forecasts, detecting anomalies, or guiding users through administrative operations. The goal isn’t to develop a generic chatbot but to create context-aware business agents.
Meanwhile, AI Gateway acts as an entry point for developing AI solutions integrated with Sage Operations. Sage describes it as a way to build solutions using GraphQL APIs or MCP tools, aligning with current trends of connecting models and agents with data, actions, and enterprise systems in a more structured manner.
This layer can be particularly valuable for developers, as it reduces the usual complexity of creating intelligent functions on management applications. Instead of building isolated integrations for each client, partners can leverage Sage’s APIs, testing environments, certification pathways, and authentication mechanisms.
A more open platform for partners
Sage is also introducing new business models, including usage-based pricing and revenue-sharing schemes. The message is straightforward: if Sage wants its marketplace to grow with third-party solutions, technical documentation alone isn’t enough. Partners need clear ways to sell, scale, and capture value as their applications gain adoption.
This is especially relevant for small and medium-sized businesses. Many SMEs prefer quick, affordable solutions that connect to their management systems, solve specific problems, and can be activated with minimal complexity. If Sage succeeds in encouraging more developers to create certified, ready-to-use solutions, it can strengthen its position against competitors also integrating AI into accounting, ERP, payroll, and financial automation.
Early examples include DataBlend PopdockAI Agent, designed to connect financial data streams, provide real-time insights, and automate tasks like reconciliation and forecasting. These cases illustrate Sage’s direction: agents that not only answer questions but also work with business data to reduce manual tasks.
The company cites IDC forecasts indicating that the number and complexity of third-party and custom agents used by companies will increase tenfold over the next five years. While such forecasts should be approached cautiously, they reflect a clear market trend: companies won’t rely on a single universal assistant but will instead use many small, specialized agents connected to specific processes.
Trust, identity, and governance of agents
Deploying agents within financial systems can’t be treated merely as a productivity feature. An agent accessing accounting data, payroll, invoices, payments, or forecasts can generate value but also introduces risks if proper controls are lacking. That’s why Sage emphasizes trust, security, and governance as central to the announcement.
The company mentions improvements in onboarding, sandbox environments, certification processes, and advances in Sage Verify to enhance authentication and enterprise identity. These elements are less glamorous than AI agents but are essential when applications operate within sensitive workflows.
Practically, Sage aims to strike a balance: giving partners more freedom to build while operating within a controlled framework. For clients in accounting, finance, or HR, this is crucial. SMEs may want automation but also insist on controlling access to data, permissions granted to applications, and ways to audit integrations.
The market is moving in this direction. As business agents transition from demos to real-world use, questions evolve: not just whether a tool responds well but also about its permissions, data access, actions it can execute, how access is revoked, accountability for errors, and certification to meet company policies.
Implications for SMEs
For small and medium-sized companies, Sage’s announcement could translate into a broader array of solutions built on familiar products. Not all companies have the technical resources to develop their own automations, but many can benefit from applications created by partners for specific sectors or processes.
A professional firm might use agents to review documentation, detect inconsistencies, or prepare internal replies. A finance department could rely on tools that connect scattered data and support forecasts. An enterprise operating across multiple systems could reduce manual effort in reconciliations, reporting, or approval workflows. HR teams might leverage AI for internal inquiries, categorizing information, or streamlining administrative tasks.
The key is ensuring these solutions do not remain mere promises but deliver real value—reducing steps, avoiding errors, saving time, and seamlessly fitting existing workflows. Sage appears aware of this, focusing its announcements on workflows, the marketplace, certification, and partner business models.
There’s also a competitive aspect. Major enterprise software providers are evolving their platforms to enable third parties to build agents, connectors, and automations. Microsoft, Salesforce, ServiceNow, SAP, Oracle, and others are heading in this direction. Sage’s strong presence among SMEs and mid-market companies positions it to ensure its ecosystem remains relevant in this emerging AI automation landscape.
The challenge will be balancing openness with control. An overly closed platform discourages extension development; an overly open one risks client trust. The winning strategy involves offering clear pathways—APIs, sandboxes, certification, marketplace distribution, secure identity, and understandable business models.
Sage isn’t just launching new developer tools; it’s preparing its platform for a future where AI agents become integral to enterprise management software. For SMEs, this could mean fewer manual tasks and deeper data insights. For partners, a new revenue channel. And for Sage, an opportunity to deepen its developer network as a vital part of its strategy.
Frequently Asked Questions
What has Sage announced?
Sage has expanded its developer platform with new AI tools, a more unified experience across products like Sage Intacct, Sage X3, and Sage Active, and new business models for partners.
What is Sage Agent Builder?
It’s a tool designed to help partners and developers create AI agents integrated into Sage workflows, including Sage Copilot and Sage Marketplace.
What is AI Gateway for?
AI Gateway enables building AI solutions connected to Sage Operations through APIs and integration tools, facilitating enterprise agents and automations.
How do these innovations benefit SMEs?
They gain access to more connected solutions for finance, operations, accounting, payroll, and HR—reducing manual work and automating specific tasks more easily.
via: sage