Endeavor for Better

AI agents only create value when they are customized to real workflows, controlled in production, cost-aware, and managed as business systems.

Join us for three 30-minute sessions in September to learn how technical and executive teams can use Endeavor, Rotational’s AI operationalization platform, to turn AI model capability into reliable business capability.

Across the series, we’ll show how to prototype, evaluate, deploy, and monitor custom AI agents with the controls, feedback loops, and cost visibility needed to deliver measurable ROI.

Session 1: Customize, Control & Manage Change for AI Agents

Fri Sept 11 12:30-1pm ET

AI agents only create value when they are tailored to the way your organization actually works, constrained by the right controls, and easy to update as models, policies, and workflows change.

Join Rotational CEO Dr. Benjamin Bengfort for a 30-minute session on how Endeavor helps teams customize agents for real workflows, apply deterministic controls and programmatic guardrails, and manage change without losing reliability or visibility.

Why attend: Learn how to make AI agents specific enough to be useful, controlled enough to be trusted, and adaptable enough to survive change.

Session 2: Build AI Assistants Your Team Can Actually Use

Fri Sept 18 12:30-1pm ET

AI assistants are only useful when they are designed for a specific workflow, grounded in the right context, and evaluated against clear expectations.

Join Rotational ML and AI engineer Steve Veldman for a 30-minute session on how to use Endeavor to build workflow-specific assistants that can be prototyped, tested, improved, and prepared for production.

Why attend: Learn a practical process for turning a business need into a reliable AI assistant your team can evaluate and trust.

Session 3: Put Multimodal AI to Work on Business Docs

Fri Sept 25 12:30-1pm ET

Many valuable business workflows depend on documents, forms, PDFs, images, screenshots, and other unstructured inputs. Multimodal AI can help, but only if teams can evaluate quality, manage cost, preserve traceability, and deploy the workflow reliably.

Join Rotational software and ML engineer Patrick Deziel for a 30-minute session on how Endeavor supports multimodal AI workflows, with document processing as a practical business use case.

Why attend: See how multimodal AI can move beyond one-off document extraction into reliable, measurable workflows.

Over five years of implementing enterprise AI systems, we've learned 3 critical lessons:

Agentic AI has business value, provided the right guardrails and systems are in place.
Businesses want efficient, specialized problem solvers focused on specific workflows, not AI agents.
Organizations want full control over model selection, prototyping, deployment, and observability while protecting their data.

Join us over three 30-minute sessions to learn how Endeavor can assist your team in building and deploying AI agents reliably, securely, nand tailored to your organization's use case.