Observed Signal · Mar 31, 2026 · Product Launch · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
Celigo Launches Ora and Agent Builder for Enterprise Automation
Celigo announced Celigo Ora, a natural-language interface, and Agent Builder, a low-code environment, to extend enterprise iPaaS capabilities and scale automation across business systems. Ora uses a network of specialized AI agents with context about systems, workflows and data to let non-specialists design, build, modify and troubleshoot integrations via plain language, while actions are previewed, governed and auditable. Agent Builder pairs with Celigo’s Model Context Protocol (MCP) server—a standard Celigo describes for secure, real-time AI connectivity to enterprise systems—so teams can run automations from rules-based logic to adaptive AI agents. Celigo highlighted governance features (human-in-the-loop approvals, runtime guardrails, auditability) and cited MIT Technology Review Insights research linking successful AI production workflows to unified integration platforms. Celigo positioned the releases as addressing operational bottlenecks that prevent enterprises from moving AI from pilot to production.
Product launch from a MarTech/iPaaS vendor that introduces natural-language interfaces, low-code agent creation and a protocol (MCP) for AI-to-system connectivity—useful for enterprise automation but not a major platform policy or market-shifting change.
Track Funnel Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- Celigo announced Celigo Ora, a natural-language interface for building and managing enterprise automations.
- Celigo announced Agent Builder, a low-code environment for creating AI-driven automations and agents.
- Celigo introduced its Model Context Protocol (MCP) server for secure, real-time AI connectivity to enterprise systems.
- Celigo emphasises built-in governance: human-in-the-loop approvals, runtime guardrails and complete auditability for actions.
- Research cited (MIT Technology Review Insights, in partnership with Celigo) reported 95% of executives expect AI autonomy to increase; organizations lacking a unified integration strategy rarely scale AI beyond a single department.
Connected Companies & Entities
1 Entity mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Celigo Ora General Availability Brings Natural Language Automation to Enterprises
Celigo, an intelligent automation platform built for AI, announced general availability of Celigo Ora, a natural language interface for building, managing, and troubleshooting automations. Since beta, users have exchanged nearly 250,000 messages with Ora, and one in two active builders now use it. Ora works with existing workflows, connections, and permissions, enabling users to build and modify deterministic workflows, AI agents, B2B flows, and data ingestion syncs in plain language. It also supports troubleshooting and account-wide analysis, with actions limited to user permissions. Access is available through the product UI, a terminal, or directly from an LLM. For technical teams, Celigo offers the Celigo CLI and Celigo Platform MCP. The company says Ora reduces dependency on technical specialists and allows enterprises to scale automation capacity without increasing IT headcount.
Oracle launches AI-native builder for Fusion Agentic Apps
Oracle announced a new AI-native builder experience for Oracle AI Agent Studio for Fusion Applications that enables customers and partners to create and run Fusion Agentic Applications natively inside Oracle Fusion Cloud Applications. The unified builder supports no-code, low-code and pro-code workflows, including a new AI Studio Skill that integrates with developer tools such as Visual Studio Code, CLIs, Git, and AI coding assistants. Fusion Agentic Applications run inside Fusion, inheriting security, governance, approvals, and auditability, and can coordinate Oracle, partner, third-party and custom agents. Oracle is expanding its AI Agent Marketplace, publishing developer templates on GitHub, and says the offering is available at no additional cost. The announcement includes industry endorsements from Accenture, Constellation Research, Deloitte, IDC and PwC highlighting the potential for faster, governed enterprise AI adoption.
Oracle Unveils AI Agents to Boost Marketing and Sales
Oracle announced additional role-based AI agents for revenue teams that are embedded within Oracle Fusion Cloud Applications to support marketing, sales and customer service processes. The new prebuilt agents are natively integrated into Oracle Fusion Applications and offered at no additional cost. Oracle also introduced AI Agent Studio for building, testing and deploying AI agents and agent teams across the enterprise. Oracle positions the agents to surface insights from unified, cross‑functional data (exposing data silos such as procurement, service records and order management) and to automate operational tasks while providing predictive guidance. Rob Pinkerton, SVP at Oracle, urged customers to adopt a phased approach to AI. The release includes multiple marketing, sales and service-specific agents (e.g., Program Planning Agent, Copywriting Agent, Quote Generation Agent, Work Order Scheduling Agent).
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.