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The Agent-a-thon: The Enterprise AI Agent Creation Competition
Everyone talks about AI agents. Few truly know what they are, and even fewer have actually created one. The Agent-a-thon changes that in half a day: your teams leave with a functional agent, built around their real-world use cases.
What is an Enterprise Agent-a-thon?
The Agent-a-thon is an in-company AI competition format. Your teams compete over half a day to design and build real AI agents, connected to your tools and tailored for your specific business needs.
The result: you won't just walk away with another PowerPoint. You'll leave with a catalog of operational agents, created by your own employees, ready to be deployed the very next day.
AI Agent-a-thons in pictures
95%
of generative AI projects in
companies never reach
production.
Source: MIT NANDA, State of AI in Business 2025
Connected to your data
Your teams connect their agents directly to your business sources (SharePoint, CRM, internal databases, processes).
An engaging competition
Teams compete, challenge each other, and share their discoveries in real-time.
Operational the next day
Each team produced a functional AI agent, rooted in your business realities.
How does an Agent-a-thon unfold?
Half a day, 3 main phases, operational AI agents.
Strategic Scoping
Analysis of your use cases and their potential in agentic AI. Design of a tailor-made program adapted to your profiles.
Introductory AI Show
Expert speakers demystify agentic AI in business: how it works, which tools to choose, with live agent demonstrations.
The Agent-a-thon
5 rounds on the agent platform of your choice. Teams define, connect, test, and deploy their business agent.
Pitch & Award Ceremony
Pitch of the Top 5 agents created, announcement of winners, and collective debriefing.
What the participants say
Decision-makers who organized an Agent-a-thon for their teams share their experience.
We had done dozens of AI workshops before. This time, in half a day, my managers left with 16 agents connected to our SharePoint. Concrete. Useful. We deployed 4 into production the following month.
What surprised me was seeing business directors who had never touched an agentic platform configure an agent in 3 hours. Working on their real problems, as a team... that changes everything compared to a classic demo.
The impact on the teams was huge. Beyond the agents we kept, it was a collective realization: everyone understood that agentic AI was no longer just an IT topic. We launched 3 internal projects right after.
Your teams create their first
AI agents
4 immediate results for your
company
A catalog of operational AI agents
By the end of the session, your company will have functional agents, connected to your data and ready for large-scale deployment.
Your Managers Become Autonomous with Agentic AI
No more waiting for IT: your directors and managers now know how to configure, connect, and improve an agent themselves.
An Agentic AI Roadmap for Your Company
In half a day, you identify which agents to prioritize for deployment, which ones to abandon, and the next steps for your AI strategy.
Accelerate your AI transformation
Organizing an Agent-a-thon concretely demonstrates (both internally and externally) that your company isn't passively experiencing agentic AI, it's actively driving it.
Your dedicated platform
AI Sisters has developed its own platform to collect, evaluate, and compare agents built in real-time. It ensures a consistent standard across teams and precise monitoring for organizers.
Accelerate your AI transformation
Secure connection via a password dedicated to the event.
Team selection and designation of a facilitating Tech Leader.
Agent submission in each round by the Tech Leader.
Direct integration with your agentic platform to build and test agents.
Seamless experience for non-technical users.
For Organizers
Automatic retrieval of all agents built in real-time.
Centralization of agent configurations, instructions, and tests.
AI Rating evaluation of agent quality per team.
Automatic ranking based on defined criteria (consistency, reliability, autonomy).
Live dashboard that can be projected to track each team's progress round by round.
5 steps to create an operational AI agent
A step-by-step method that transforms any business idea into a functional AI agent, guaranteed by the end of the session.
From a business pain point to a deployable agent
Each team starts with a real business challenge and transforms it, round after round, into a structured AI agent, connected to your data and capable of performing autonomous tasks.
Frame the agent's role
In half a day, you identify which agents to deploy first, which ones to abandon, and the next steps for your AI strategy.
Connect the agent to knowledge
Feed the agent with your documentation sources (SharePoint, files, links) to ground its knowledge in your reality. Deliverable: an agent that responds based on your real data.
Enable agent action
Configure the agent to perform an autonomous task (draft an email, create a ticket, update a file). Deliverable: an agent that performs a concrete task.
Improve response quality
Optimize instructions and provide reference examples to the agent. Deliverable: an agent whose responses are precise and tailored to the business.
Create a workflow
Build a logical sequence of automated steps. Deliverable: an agent that manages a complete end-to-end process.
✦ Each round is supervised by an AI Sisters trainer expert in agentic AI.
Your future business agents
A few examples of agents built by our clients during an Agent-a-thon. Each tailored to their operational reality.
The 'Legal Document & Contract Writer' Agent
Drafts, reformulates, and harmonizes your contracts, amendments, and sensitive correspondence while ensuring compliance with your legal charter.
The 'Express Summary' Agent
Analyzes your company agreements or collective bargaining agreements to extract key points and warning alerts in a few seconds.
The 'Plume HR' Agent
Generates your service notes and internal announcements, instantly adapting the tone based on the recipient (Works Council, Managers, Employees).
The "Process & Procedures" Agent
Transforms your work notes into clear operating procedures, practical guides, or standardized onboarding checklists.
The "Instructional Design" Agent
Builds your internal training modules, assessment quizzes, and memo sheets from a simple business objective.
The "Reporting Data" Agent
Converts your raw data into visual presentation materials and annotated dashboards, ready to be shared with the executive committee.
Who is the Agent-a-thon for?
All your business functions
Sales, marketing, operations, HR, finance, data, tech, communication, legal. The Agent-a-thon is for all company functions, with no technical or IT prerequisites.
All skill levels
From those discovering agent platforms to those already using them. The rounds are tailored to challenge everyone based on their starting point.
All your key moments
Management convention, extended steering committee, transformation seminar, AI program launch, agentic kick-off.
They experienced their Agentathon
Teams that went from curiosity to mastery. Discover their feedback and the concrete deliverables produced during the event.
What is an AI agent?
An AI agent is a program based on a language model capable of understanding a request, retrieving information from your data, and then autonomously executing a task (writing, analyzing, triggering an action). Unlike a simple chatbot, an agent acts; it doesn't just respond. The best way to understand what an AI agent is, is to build one. This is exactly what the AI Sisters Agent-a-thon offers: in half a day, your teams build a functional one, based on their own use cases.
What is the difference between an AI agent and ChatGPT?
ChatGPT is a general-purpose assistant that answers your questions based on its knowledge. An AI agent specializes in a specific mission, connects to your company data (SharePoint, CRM, internal databases), and can execute concrete actions. One converses, the other works. During the Agent-a-thon, your teams will interact with both and immediately understand the difference by building their own business agent.
How to create an AI agent in a company?
+Creating an AI agent involves 5 steps: defining its role, connecting it to your data, having it execute tasks, improving the quality of its responses, and creating a complete workflow. Most companies get stuck at step 1 due to a lack of methodology and practical experience. The AI Sisters Agent-a-thon was designed around these 5 steps: in half a day, your employees build a functional agent from start to finish, guided by 5 AI Sisters experts.
Why do 95% of generative AI projects fail to reach production?
According to MIT NANDA (State of AI in Business 2025), 95% of generative AI projects in companies never reach production. Not for technical reasons, but because teams don't adopt them. The project is driven by IT or an external firm, never by the business units themselves. The Agent-a-thon solves this problem by having your employees build the agents for their real use cases, which guarantees adoption from day one.
Which platform should I use to build an AI agent?
The main agentic platforms in 2026 are Microsoft Copilot Studio, OpenAI GPTs, Claude Projects, and Google Gemini. The choice depends on your existing stack (Microsoft 365, Google Workspace, etc.) and your security constraints. The Agent-a-thon is agnostic: we adapt the event to your chosen platform, or organize a comparative format if you are still undecided.
How can I train my teams to design AI agents?
Theoretical training on agentic AI isn't enough: you need to build an agent to understand how it works. The most effective format combines rapid acculturation (1.5-hour AI Show), supervised practice (3 hours of team building on real cases), and presentation (pitching the best agents). This is exactly the format of the AI Sisters Agent-a-thon, designed for employees with no technical prerequisites.
How long does it take to build an AI agent?
+A simple AI agent can be built in a few hours by a trained individual. An agent connected to your data with a complete workflow takes about 3 hours for a guided team. This is exactly the duration of the Agent-a-thon: 3 hours of supervised competition, after which each team leaves with a functional, tested agent ready for internal expansion.
How much does an in-company Agent-a-thon cost?
The price of an Agent-a-thon depends on the number of participants (up to 80), the level of customization for use cases, the format (in-person or remote), and desired follow-ups (strategic debrief, post-event support, industrialization of agents). Contact AI Sisters for a quote tailored to your needs.
What happens to the agents built after the event?
+A simple AI agent can be built in a few hours by a trained individual. An agent connected to your data with a complete workflow takes about 3 hours for a guided team. This is exactly the duration of the Agent-a-thon: 3 hours of supervised competition, after which each team leaves with a functional, tested agent ready for internal expansion.
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