Endeavor for Better

Turn AI Models into Reliable Business Systems

Learn how real business-focused AI agents move from idea to production.

Fall Series - Three 30-min Sessions

September 11 | 18 | 25

Online via Zoom

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: Control, Deployment & Observability

Fri Sept 11 12:30-1pm ET

As we move from AI chatbots to agentic AI, teams must have the means to control, observe, and evaluate quality and ROI for deployed AI services.

Join Rotational CEO Dr. Benjamin Bengfort for a 30-min session on the deterministic controls, programmatic guardrails, and efficient scaling mechanisms native to Endeavor that give teams confidence to control, deploy, and achieve ROI.

Session 2: Building Useful Assistants with Endeavor

Fri Sept 18 12:30-1pm ET

AI Assistants are valuable only if they understand tasks, context, and expectations.

Join Rotational ML and AI engineer Steve Veldman for a 30-min session on using Endeavor to build workflow-specific AI assistants tuned to your use case. You'll learn a efficient, effective, and reliable process from moving from prototype to production.

Session 3: Solving OCR & Doc Processing

Fri Sept 25 12:30-1pm ET

Many business tasks rely on OCR and document processing, but are often inaccessible to teams.

Join Rotational software and ML engineer Patrick Deziel for a 30-min session on using Endeavor for OCR and document processing tasks. You'll learn a efficient, effective, and reliable process from moving from prototype to production. 

 
Can't attend live? Register anyway, and we'll send you a link to the recording.

Agenda

Start: 12:30pm | End: 1:00pm

0:00 - 3:00 - Introduction
Who we are and what we’ll show.

3:00 - 25:00 - Live demo
Live step-by-step building and demos.

25:00 - 30:00 - Q&A

 

Why Attend

  • Learn how to prototype, deploy, and manage a tailored AI assistant built for decision-support purposes.  
  • Learn methods to govern, control and observe AI workflows
  • Learn how technical & functional teams build together on Endeavor 
  • Learn from an experienced AI systems integration engineer

Designed for

  • Technical leaders trying to move beyond experimentation to practical use
  • Business leaders evaluating AI agent platforms for ROI
  • Consultants helping clients begin and accelerate AI transformation

We're a proven and passionate team of AI Engineering professionals 

BenjaminB_HS

Benjamin Bengfort, Ph.D., CEO & Systems Engineer

Benjamin Bengfort is Rotational Labs’ co-founder and CEO, specializing in ethical AI and distributed systems.

SteveV_HS

Steve Veldman, Lead AI/ ML Engineer

Steve Veldman is a Lead AI/ML Engineer specializing in natural language and computer vision AI solutions.


PatrickD_HS

Patrick Deziel, Systems & ML Engineer

Patrick Deziel is a distributed systems engineer specializing in custom LLMs and scalable, efficient AI.

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

  1. Agentic AI has business value, provided the right guardrails and systems are in place.
  2. Businesses want efficient, specialized problem solvers focused on specific workflows, not AI agents. 
  3. 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.

Explore what Endeavor has to offer

Endeavor turns AI model capabilities into reliable business systems

Move Beyond Chatbots

Deploy task-specific, cloud-agnostic AI agents to automate mundane, high-friction workflows.

Tune Governance & Controls

Apply governance and constraints in the form of rules and guardrails.

Realize Impact & Measurable ROI

Measure business impact and token costs across agents to ensure ROI.

See a Live Workspace Demo

Watch a walkthrough using a process that technical & business teams can understand, evaluate, and repeat. for any workflow.