Speaker
Abstract
SAP is a difficult system to work with, because every customer customizes SAP to fit their unique needs - and that customization is not accessible to the outside world, like agents or MCP servers. This is especially true when you want to connect to SAP from an external software platform and use SAP data. This becomes a true nightmare when you take SAP’s draconic license policies into account, that forbids any external agentic system to connect to SAP. Only SAP’s proprietary agent Joule is allowed to do that. I will showcase how easy it is to read and update data in SAP, using agentic system engineering that is enterprise-proof, fully governed and monitored, without violating the SAP license. On stage I will build a solution that reads data from SAP, updates data in SAP, and create agents that interact with SAP data - all from scratch, using OutSystems as the Agentic Engineering System. I will also discuss the reason why such a system adds value to enterprises that need strong governance, monitoring, deployment and quality control around their strategic software products.
Sponsored session
Session sponsored by
The AI low-code platform that delivers the custom apps and agents that future-proof your business.
$3,250, Conference (3 days). Current pricing ends November 20th. All pass options.
QCon San Francisco 2026 is a three day conference for senior software engineers, architects and team leads. An international program committee of working engineers selects every session. Patterns and practices, not products and pitches.
Slides & video
Video Not available
Part of the track
Sponsored Solution Track IIFrom the same track
Monday 16 November
10:35 Marina Sponsored Data-Driven Optimization of AI Agents: From Hand-Tuned Harnesses to Model-Harness Co-Training Jeremy Tian Founder & CPO @Lucidic AI, previously @DRW Most teams with agents in production still improve them by hand: a failure comes in, someone edits a prompt or a tool description, and the fix quietly breaks something else. 11:45 Marina Sponsored Why Optimized Application Infrastructure (not just GPUs and LLMs) Can Scale Your AI Investments Alex Berkoff Senior Solutions Engineer @Azul Systems AI adoption is mandatory, but new budget is scarce, and production AI costs are averaging 380% over pilot projections. The GPUs and models get the attention, while the systems underneath get far less. 13:35 Marina Sponsored Building a Safe Software Factory Andrew Finch Staff Software Engineer @Sonar Coding agents have made code cheap to write, and teams are shipping 10× more changes than they did two years ago. Human review was built for human speed, so the industry is moving from reviewed PRs to automated software factories. 14:45 Marina Sponsored The Context Gap: Why Correct Agents Fail Xiaowei Jiang CEO and Chief Architect @Tacnode Two agents edit different files. Git merges clean. The program is broken. No conflict was thrown, because the collision was in meaning, not in text — and business decisions are almost all semantic. 15:55 Marina Sponsored Critical Path: Nine Reliability Patterns from Processing 350 Million Payments a Day Vimal Kumar Founder and CEO @Juspay Distributing a system does not distribute away its failure modes. Replicas still depend on failover logic, shards on routing, and every safe deployment on a release gate. These few mechanisms decide whether a local failure stays local or becomes an outage, and nothing can route around them. 17:05 Marina Sponsored Next level SAP experiences with Agentic Systems Engineering Roy Van de Kerkhof Co-Founder @NovioQ SAP is a difficult system to work with, because every customer customizes SAP to fit their unique needs - and that customization is not accessible to the outside world, like agents or MCP servers.