Associate Value Engineer

Celonis has won the 2026 Innovation Challenge at the Association of Government Accountants Technology & Transformation Summit. The global process mining leader was recognised for its Audit Acceleration and Control Monitoring Solution, which modernises how government agencies detect risk and monitor internal controls. The solution uses process intelligence to continuously analyse transactional data, enabling agencies to monitor control performance in near real-time, detect violations as they occur, and identify root causes of audit findings. This shifts agencies from reactive audit remediation to proactive control monitoring. Selected by expert panel and voted on by attendees, finalists were evaluated on broad applicability, measurable impact and real-world feasibility. The solution initially focuses on accounts payable but can extend across financial and operational workflows.

Building autonomous AI agents on AWS with Celonis process intelligence. * AWS * solutions * customer stories building autonomous AI agents on AWS with Celonis process intelligence learn how Celonis and AWS combined process intelligence and agentic AI to autonomously orchestrate complex manufacturing workflows in the automotive industry. Overview. Celonis, a global leader in process mining and process intelligence, partnered with Amazon Web Services (AWS) to demonstrate how autonomous AI agents can be deployed to solve critical operational challenges in automotive and manufacturing environments. By combining Celonis's deep process intelligence with the scalable, serverless infrastructure of AWS, the two companies built an agentic solution capable of autonomously coordinating production schedules across fragmented systems and partner networks - dramatically reducing manual intervention and cutting lead times in order-to-delivery processes. About Celonis. Celonis is the global leader in process mining and process intelligence, helping organizations across industries uncover inefficiencies, identify root causes of operational bottlenecks, and take action to improve their processes. With a strong focus on automotive and manufacturing customers, Celonis leverages AI and data to transform how businesses operate at scale. Opportunity | aligning production schedules across fragmented systems in automotive manufacturing. In complex automotive manufacturing environments, aligning production schedules between multiple companies operating on different systems is a persistent challenge. Celonis identified a critical bottleneck in the order-to-delivery process: coordinating appointments between internal resources and external partners required significant manual effort, was prone to delays, and relied on human intermediaries to bridge disconnected systems. The core challenges were threefold: * Fragmented data sources spread across internal and partner systems * Multiple external partner systems requiring real-time coordination * Manual intervention by human operators to manage scheduling and communication between systems Celonis sought to build an AI agent capable of handling all coordination autonomously - retrieving order data, checking partner availability, and scheduling appointments - without human involvement in the loop. Solution | deploying autonomous AI agents powered by process intelligence and AWS. To address these challenges, Celonis and AWS co-developed an agentic solution built on Amazon Bedrock AgentCore, a serverless environment designed for deploying and scaling AI agents and MCP servers. The agent was built using the Strands SDK, AWS's open-source framework for building and deploying agents, and connected to external systems via the open MCP (Model Context Protocol) standard. At the heart of the solution is the Celonis MCP Server, which exposes a set of tools enabling the agent to: * Load all order data and identify orders ready for partner scheduling * Retrieve partner data and available resources * Apply customizations from partners to orders * Trigger action flows within the Celonis environment to write results back into the system The agent also connects to third-party systems - such as partner calendar APIs - to check availability and avoid scheduling conflicts. By cross-referencing data from both the Celonis environment and external systems, the agent autonomously identifies the optimal time slot and schedules the appointment, then writes the outcome back into Celonis via an action flow. The architecture leverages four key components of Amazon Bedrock AgentCore: * AgentCore Runtime: A serverless environment for deploying and scaling agents and MCP servers, supporting any open-source framework and protocol. It automatically versions runtime deployments and exposes them through a secure endpoint. * AgentCore Gateway: A centralized, secure hub for managing and exposing MCP servers and REST APIs to agents through a single unified interface - simplifying tool discovery, authentication, and orchestration at scale. * AgentCore Identity: A centralized identity and credentials management system that assigns each agent its own scoped identity, controlling both inbound access (which users can trigger the agent) and outbound access (which tools the agent can use). * AgentCore Observability: Full tracing and transparency of agent activity, logging every tool call, request, and response between the agent and downstream systems - enabling continuous process improvement by feeding logs back into the Celonis environment. Outcome | A scalable blueprint for autonomous process orchestration. The joint solution between Celonis and AWS demonstrates a scalable, trustworthy blueprint for deploying autonomous AI agents in industrial environments. By grounding agents in process intelligence - using process mining to identify bottlenecks, define guardrails, and feed agents the right context - organizations can ensure that AI acts purposefully and reliably within their operations. The observability layer provided by AgentCore enables a continuous improvement loop: agent logs are written back into Celonis, allowing teams to monitor agent behavior, validate outcomes, and refine processes over time. This closes the loop between AI action and process intelligence, ensuring that deployed agents genuinely improve operational performance. Looking ahead, Celonis and AWS see this architecture as a foundation for expanding autonomous orchestration across additional use cases in automotive and manufacturing - wherever fragmented systems, manual coordination, and complex partner networks create friction in critical business processes. It's AWS who builds the agent and Celonis who provides the playbook and the rules of the game. Peter Hofmann Applied Automotive Engineer at Celonis

Fueling enterprise AI: Pyze delivers 150% growth and record expansion in 2025. Pyze reports 150% year-over-year Bookings Growth in 2025, 100% Renewal Rate, record $1M+ enterprise contracts, and second straight Year of Positive EBITDA. March 3, 2026 (Redwood City, Calif.) - Pyze, the leader in Data for Productivity Optimization and AI Operationalization, today announced its 2025 results, highlighted by 150% year-over-year growth in bookings, a 100% customer renewal rate, multiple $1M+ multi-year enterprise agreements, and its second consecutive year of positive EBITDA cash flow. The results reflect accelerating demand from global enterprises seeking to operationalize AI, improve workforce productivity, and modernize mission-critical systems - while demanding measurable ROI and financial discipline from technology partners. "2025 was a defining year for Pyze," said Prabhjot Singh, Co-Founder & CEO of Pyze. "Enterprises are moving beyond AI experimentation toward operationalization. Our platform enables them to baseline productivity, build AI agents based on real execution data, and measure ROI in production. Achieving 150% bookings growth while delivering a second straight year of positive EBITDA demonstrates that we can scale responsibly and sustainably." Record enterprise adoption & expansion. In 2025, Pyze achieved: - 150% Year-over-Year Bookings Growth - 100% Customer Renewal Rate - Multiple $1M+ Multi-Year Enterprise License Agreements - Second Consecutive Year of Positive EBITDA Cash Flow Operationalizing enterprise AI. As organizations increase AI investment, many struggle to deploy agents intelligently and measure impact. Pyze addresses this gap by capturing real-time behavioral telemetry inside mission-critical systems such as Pega, Salesforce, Guidewire, SAP, and custom applications. This execution intelligence enables enterprises to: - Baseline workforce productivity at screen, workflow, and field levels - Identify high-impact AI and automation opportunities - Build AI agents based on observed execution patterns - Quantify productivity improvements post-deployment By integrating with Celonis Process Intelligence, Pyze expands visibility from process flows into the human execution layer - unlocking new domains for optimization and agentic automation. Strategic partnerships accelerate scale. In 2025, Pyze finalized a global reseller partnership with Celonis, enabling Pyze to be transacted as a certified Celonis Platform Application. The collaboration expands process intelligence into the human execution layer and strengthens joint enterprise go-to-market motion. Pyze also formalized a global partnership with EY and deepened its alliance with Virtusa to embed productivity and modernization intelligence into large-scale transformation programs. Product innovation: from productivity to agentic enterprise. Building on its Productivity Insights Generator and Pega Transformation Accelerator, Pyze introduced AI Readiness & Agent Discovery capabilities in 2025 - enabling enterprises to systematically identify, prioritize, and measure AI agent opportunities across thousands of employees. Customers now use Pyze to: - Identify 10-20% hard productivity gains within 8-10 weeks of deployment - Generate structured modernization requirements from live execution data - Monitor human-AI interaction and continuously optimize agent performance Positioned for continued scale in 2026. With strong enterprise expansion, strategic channel leverage, and disciplined financial execution, Pyze enters 2026 positioned for continued growth. "Our focus remains clear," added Singh. "Help enterprises operationalize AI safely, intelligently, and measurably. Productivity is the baseline. Execution intelligence is the enabler. And measurable ROI is the outcome." About Pyze Pyze is the leading Productivity Intelligence platform enabling enterprises to operationalize AI and maximize workforce productivity inside mission-critical applications. By capturing continuous, business-contextual telemetry across enterprise systems, Pyze provides the foundation for AI agent discovery, modernization acceleration, and measurable operational improvement. Pyze expands visibility from workflows into human execution patterns - enabling enterprises to move from AI experimentation to enterprise-scale operationalization. Pyze serves Fortune 500 and global enterprises across Financial Services, Banking, Insurance, Life Sciences, Telecommunications, and other regulated industries.