AIappliedtooperations
You already use ChatGPT or Claude. Now imagine an AI that can work directly inside your software.
ChatGPT, Claude, and Perplexity can help you look up information, draft documents, or analyze data.
Imagine artificial intelligence agents designed for your company, able to consult authorized information in your software, prepare quotes, follow your operations, and work with one another.
At I3, we design and develop AI agents and connectors adapted to your administrative, financial, and operational processes.
ChatGPT, Claude, Perplexity: how are they different from an AI agent?
An LLM, or large language model, is an artificial intelligence technology that can understand and generate text, and analyze information.
ChatGPT and Claude are assistants that use LLMs, among other things. Perplexity is mainly a search and answer tool assisted by artificial intelligence.
But a language model does not automatically know your inventory, your orders, your production costs, or your invoices.
That is where I3 comes in.
We design AI agents that use these capabilities, and we add connections to your software, operating rules, and permissions adapted to your company.
We move from an AI you ask questions to an AI that can also take part in your operations.
What if your artificial intelligence could work inside your software?
Today, you can ask ChatGPT to help you analyze a report.
Imagine an AI agent that can retrieve authorized data from your ERP, compare it with your production information, and prepare a report for your operations director.
That is the kind of solution we can design.
Our AI agents can be developed to interact with your software and take part in your existing processes.
Faster-to-use summaries
AI can help summarize certain work, structure follow-ups, and make information faster to read for managers and teams.
Assisted prioritization
When multiple requests or work orders must be assessed quickly, AI can surface priority items to support human judgment.
Simple variance detection
In structured processes, AI can help spot simple anomalies, omissions, or inconsistencies that deserve validation.
What if several AI agents could work together?
Take a quote request.
Request analysis
A first agent analyzes the customer's request and identifies the information required.
Data lookup
A second agent consults the authorized data on products, costs, and availability.
Preparation and validation
A third agent prepares the quote elements and sends the file to the person responsible for validation.
The same principle can also apply to purchasing, accounts payable, customer service, and production follow-up.
What if your AI agents could help your teams make better decisions?
In accounting
Analyze invoices, reconcile information, flag variances, and prepare files for approval.
In production
Follow orders, review inventory, spot anomalies, and prepare reports for supervisors.
In management
Bring together information from several systems and present the items that require a decision.
AI agents assist teams in their operations. Important decisions and approvals remain with the designated managers.
Your administrative assistant is retiring. Do you necessarily have to replace them?
Imagine an experienced employee who has known your processes for years announces their retirement.
You still have to keep operations running.
Hire someone new at $50,000, $60,000, or $70,000 a year? Or use this transition to rethink how the work is done?
What if AI agents could take on part of the email processing, document preparation, administrative follow-up, and the information that needs to reach your different software tools?
At I3, we can analyze the responsibilities of the role, identify the tasks that lend themselves to automation, and develop AI agents adapted to your operations.
What if you could maintain the quality of your operations while reducing your administrative costs?
How much could you save with AI agents?
See the automation potential of certain administrative tasks from an example annual salary cost.
- Annual salary
- $60,000
- Share of tasks that could potentially be automated
- 60%
- Theoretical annual value of that time
- $36,000
This simulation illustrates the value of the time associated with tasks that could potentially be automated. Real savings depend on the remaining tasks and on development, operating, and supervision costs.
Related topics
Common questions
What is the difference between ChatGPT and an AI agent designed for our company?
ChatGPT is a general-purpose artificial intelligence assistant. An AI agent designed for your company can use a language model, tools, and connectors to access certain authorized data and take part in specific processes.
Can our AI agents use our current software?
Yes, when the software offers the right technical options and access. We analyze your systems and develop the connectors required.
Can several AI agents work together?
Yes. We can design specialized agents that collaborate in the same process, with precise responsibilities, permissions, and validations.
What if we calculated together what you could save?
Show us the tasks that take up your teams' time. We can analyze the automation options, the cost of a solution, and the potential gains.