Many engineering organizations now have AI tools, simulation models, agile teams, architecture boards, MBSE initiatives, and digital engineering programs. Their product development still feels slow.
That is the uncomfortable observation behind Product Velocity.
A faster task does not automatically create a faster product. A better model does not automatically create a better decision. A green status report does not mean value is moving. Product development accelerates when information reaches the right decision point while the decision still matters.
This fall, we will look at that problem from five angles: AI, hands on training, organizational anti-patterns, simulation, and SysML v2.
The common question behind all five events
Product Velocity starts with one question:
What makes one organization move faster than another?
The answer rarely sits inside one team. It sits in the flow between teams, decisions, artifacts, models, suppliers, releases, and feedback loops.
That is why the upcoming events cover different parts of the same system. AI changes how quickly individual tasks get done. Training helps teams diagnose their own bottlenecks. Anti-patterns explain why good local work still produces slow global outcomes. Simulation helps teams learn before physical prototypes exist. SysML v2 points toward a future where models become shared engineering infrastructure.
The full event overview is available on the Product Velocity event page.
September 9: AI Accelerates Tasks. What Accelerates Product Development? (Webinar)
AI changes engineering work. It helps write, summarize, classify, generate, check, and search. That is useful. It is also incomplete.
A product does not move because one task got faster. A product moves when engineering information flows into decisions, decisions reach implementation, implementation reaches users, and feedback reaches the next cycle.
On September 9, Marc Osofsky and Michael Jastram discuss this gap in the English webinar AI Accelerates Tasks. What Accelerates Product Development?
The topic is not whether AI matters. It does. The topic is where AI changes product development speed, and where it only speeds up isolated fragments.
For engineering organizations, the practical question is direct. Which AI use cases reduce coordination cost, decision latency, rework, and waiting time? Which use cases create impressive demos without changing delivery?
The webinar starts at 17:00.
September 21 to 22: Product Velocity training with oose in Hamburg (Seminar)
The most practical format this fall is the two day German language training with oose in Hamburg: Komplexe Produktentwicklung beschleunigen.
The training focuses on complex technical product development. The oose page describes the goal clearly: learning how value flow, systems thinking, and targeted action make new functions usable faster.
The course is not an introduction to a single method. It connects several parts of engineering work that are often treated separately: bottlenecks, value flow, systems engineering, requirements, architecture, decisions, interfaces, handovers, MBSE, traceability, and 30 day improvement actions.
That combination matters.
Many organizations already know how to develop complex products. They have skilled engineers, established processes, and capable tools. The problem is that the path from need to usable feature contains too many waiting states. A requirement waits for clarification. A design waits for alignment. A model waits for adoption. A test waits for hardware. A decision waits for a meeting.
The training helps participants find those points in their own work. The goal is not a new large scale transformation program. The goal is a concrete intervention that starts where flow breaks today.
The training takes place at the oose campus in Hamburg on September 21 and 22. It is held in German.
October 6: Anti-patterns in Product Development (Webinar)
A team can do good work and still contribute to slow product development.
That is the problem behind the German webinar Wenn alles grün ist und trotzdem nichts vorankommt: Anti-Patterns in der Produktentwicklung on October 6.
Marc Löffler and Michael Jastram discuss patterns that look healthy from the inside but slow the system from the outside. Green status reports are a good example. Each team reports progress. Each milestone looks controlled. No single metric screams for attention. Still, the product does not move.
This happens when reporting follows local completion rather than global flow. It also happens when teams optimize their own scope, protect their own backlog, or satisfy their own gate criteria while the product waits at interfaces.
Product Velocity treats these situations as system problems. The question is not which team failed. The question is where the development system rewards behavior that looks responsible locally and harmful globally.
The webinar starts at 10:30 and is held in German.
October 22: Simulation as a Driver of Product Velocity (Conference Talk)
Simulation is one of the strongest instruments for faster learning in physical product development. It turns a question into a model, a model into insight, and insight into a decision.
That chain breaks when simulation becomes detached from the decision process.
At the CADFEM World Conference 2026, Michael Jastram will present “Simulation as a Driver of Product Velocity” on October 22 at 14:00 in Darmstadt.
The core idea is simple. Simulation accelerates product development when it changes a decision before the cost of changing direction becomes high.
That requires more than a good model. It requires the right question, fast access to engineering context, trust in the model boundary, a clear decision owner, and a flow of results back into requirements, architecture, and verification planning.
This is where simulation and Product Velocity connect. The value of simulation is not the image, report, or animation. The value is the earlier decision and learning while options still exist.
The CADFEM World Conference takes place at darmstadtium in Darmstadt.
November 4: SysML v2 and Product Velocity (Webinar)
SysML v2 has the potential to change the role of modeling in engineering organizations.
The German webinar SysML v2 und Product Velocity: Wird Modellierung zur Engineering-Infrastruktur? asks what happens when models stop being specialist artifacts and become part of engineering infrastructure.
Tim Weilkiens and Michael Jastram discuss that shift on November 4 at 10:30.
The question matters because many MBSE initiatives still struggle with adoption. Models exist, but they do not always influence daily engineering decisions. They document a view of the system, but they do not always shorten feedback loops. They support specialists, but they do not always connect engineering domains.
SysML v2 changes the technical basis. The larger question is organizational. What has to happen so that modeling helps the whole engineering system move faster?
From a Product Velocity perspective, the value of a model depends on its role in flow. A model helps when it clarifies interfaces, reduces ambiguity, exposes change impact, connects disciplines, and makes decisions easier to trace.
That is the difference between modeling as documentation and modeling as infrastructure.
Which event fits which situation?
The September 9 webinar fits people who are thinking about AI beyond task automation.
The oose training fits teams that want a practical way to diagnose slow product development and define concrete improvement actions.
The October 6 webinar fits leaders, architects, product people, and process owners who see good local work but poor global flow.
The CADFEM session fits engineers and managers who want simulation to change decisions earlier.
The November 4 webinar fits people working with MBSE, SysML, architecture, engineering data, and digital engineering infrastructure.
The common theme is Product Velocity. Faster product development comes from the way work flows through the engineering system. Tools matter. Methods matter. Models matter. AI matters. Their value shows up when they reduce waiting, rework, ambiguity, and decision latency.
All upcoming events are listed here:
