AI that does something in your business.
Not chatbots. Autonomous agents that act, decide, and integrate with your systems. We understand AI for business. Really.
Definition
What is an AI agent?
An AI agent is a program that uses an artificial intelligence model to accomplish tasks autonomously: reading an email and extracting its information, comparing documents, updating your systems, drafting a response, or triggering a process. Unlike a chatbot, which only answers questions, an agent acts.
Concretely, integrating AI into a business means connecting these capabilities to your real tools: your email, your CRM, your accounting, your documents. AI stops being a gadget in a browser tab and becomes a digital coworker that takes over part of your team's repetitive work.
AI agent or chatbot: what's the difference?
Answers questions in a conversation window. Useful for basic assistance, but it does nothing: your team still executes every task mentioned in the conversation.
Fetches information from multiple sources, decides the next action, fills out forms, sends emails, updates your databases, and escalates to a human when the situation requires it.
What we integrate
Agents that make decisions, execute actions, and manage complex workflows without constant human intervention. Not a chatbot. A digital coworker that actually does the work.
Connect your internal documents, manuals, procedures, and data to a language model. Your employees ask questions, the AI answers using your own information. Precise, sourced, private.
Data extraction from invoices, contracts, forms, and reports. Automatic classification, validation, and integration into your systems. Hours of manual work eliminated.
We integrate GPT, Claude, Gemini, or open-source models directly into your existing applications. Text analysis, content generation, automatic summaries, anomaly detection.
An assistant that knows your clients, your files, and your procedures, accessible to the whole team. It writes drafts, prepares meetings, and finds information in seconds.
Sorting, classification, and automatic replies to incoming emails according to your business rules. Simple requests get handled, complex cases get routed to the right person.
We don't sell AI buzz. We deliver measurable results.
Many agencies offer AI because it's trendy. We do it because we understand how language models work, what their limits are, and how to integrate them reliably into real business processes. We first assess whether AI is truly the right solution for your problem. If it isn't, we tell you. If it is, we deliver something that still works 18 months from now.
By industry
What AI concretely changes, industry by industry.
Useful AI isn't the same for an accounting firm, a clinic, or a distributor. Here are the use cases that deliver a real return on investment in each industry.
Accountants and financial services
Document automation is an immediate win: extracting data from invoices and statements, classifying supporting documents, and preparing entries. A RAG system answers your team's questions from your internal standards and procedures.
During tax season, an agent sorts the documents received from clients and flags what's missing, automatically.
- Automatic data extraction from invoices and statements
- Sorting and validation of client documents
- Internal assistant answering from your procedures
- Anomaly detection in entries
Lawyers and notaries
Analyzing contracts and legal documents becomes a matter of seconds: important clauses, key dates, obligations, and inconsistencies surface automatically from a 50-page document.
A RAG system connected to your precedents, templates, and internal doctrine speeds up research and drafting, without your data ever leaving your environment.
- Contract analysis: clauses, dates, obligations
- Search across your precedents and internal templates
- Draft preparation from your templates
- Automatic summaries of large files
Clinics and healthcare professionals
Administrative tasks swallow clinical time: an agent handles appointment reminders, prepares files before consultations, and processes incoming forms.
Common patient requests (availability, documents, renewals) get an automated first response, with escalation to the team for clinical cases.
- Automatic processing of patient forms
- Appointment reminders and management
- File preparation before consultations
- Triage of incoming requests with human escalation
Insurance and brokerage
An agent reads claim documents, extracts the key information, and prepares the file for the analyst. Quote requests received by email are qualified and entered into your systems automatically.
Your brokers spend their time advising, not re-entering data.
- Data extraction from claims
- Automatic qualification of quote requests
- Comparison of policies and coverages
- Automated renewal follow-ups
Real estate and construction
An agent compares supplier bids, extracts quantities and prices, and prepares a comparison table in seconds. Tenders and quotes are analyzed automatically.
On the brokerage side, AI prepares listing descriptions, answers initial information requests, and qualifies potential buyers.
- Automatic comparison of supplier bids
- Analysis of tenders and quotes
- Drafting of property listing descriptions
- Automatic prospect qualification
Distribution and manufacturing
Purchase orders received by email or PDF are read, validated, and entered into your ERP without manual intervention. Price requests get a response generated from your per-client price lists.
An anomaly detection system watches for unusual orders and inventory discrepancies.
- Automatic entry of purchase orders into the ERP
- Responses to price requests based on your agreements
- Detection of order and inventory anomalies
- Demand forecasting from your history
Professional services and consultants
A RAG assistant knows your past mandates, deliverables, and methodologies: preparing service offers and reports starts from a solid base instead of a blank page.
Meeting summaries, follow-ups, and CRM entries are generated automatically from your notes.
- Service offers prepared from your past mandates
- Automatically generated summaries and follow-ups
- Search across your internal knowledge base
- Automated monitoring of your target industries
Customer service and B2B operations
A level 1 agent answers frequent questions using your actual policies, 24/7, and escalates to a human for complex cases. Every conversation is logged and measured.
Behind the scenes, incoming requests are sorted, prioritized, and routed to the right team automatically.
- Automated level 1 support with human escalation
- Automatic sorting and routing of incoming requests
- Responses generated from your actual policies
- Volume and resolution dashboards
Security and confidentiality
Your data stays your data.
Our clients' first question is always the same: "will our confidential data end up in ChatGPT?". The answer is no. We design every integration so the AI only accesses the data needed for its task, in an environment you control.
Depending on your requirements, we work with secure cloud environments whose data is never used to train models, or with open-source models hosted on your own infrastructure. And every important decision keeps a human in the loop.
The business environments we use contractually exclude your data from model training.
Integrations deployed in your infrastructure or a secure cloud, with Canadian hosting when required.
Access logging, data minimization, and consent: compliance is built in from the design stage.
Important decisions go through a human. The agent knows when to escalate rather than guess.
Comparison
ChatGPT, SaaS tools, or custom integration?
Not all AI approaches are equal for a business. Here are the differences that matter.
| ChatGPT used by hand | SaaS tools with AI | Oriana custom integration | |
|---|---|---|---|
| Connection to your systems | None: copy-paste | Limited to their ecosystem | Direct: email, CRM, ERP, documents |
| Knowledge of your business | No reliable memory | Generic | Your data, your procedures, your vocabulary |
| Data confidentiality | Up to each employee | The vendor's servers | Controlled environment, Canadian hosting possible |
| Autonomy | You execute every task | Predefined automations | Agents that run your complete workflows |
| Costs | Individual subscriptions + time lost | Per user, per module | One-time investment, unlimited use |
Our honest take: ChatGPT used by hand is an excellent starting point to get familiar with AI. Custom becomes worthwhile when a high-volume repetitive task can be handed to an agent connected to your systems.
How much does it cost?
Your first AI agent, starting at $5,000.
A document automation or a first targeted agent starts at $5,000, delivered quickly thanks to our MVP approach. An autonomous agent managing a complete workflow generally lands between $15,000 and $40,000. We always start with the use case that has the best return on investment, measured in hours recovered per week.
- ✓Free analysis of your processes to identify the best use case
- ✓First working agent connected to your real tools
- ✓Guardrails and human validation built in
- ✓Scalable: we add capabilities once the first ROI is proven
Frequently asked questions
A chatbot answers questions. An AI agent does things. An agent can fetch information from multiple sources, decide the next action to take, fill out a form, send an email, update a database, or trigger a process. It's the difference between talking to someone and having someone work for you.
A RAG system (Retrieval-Augmented Generation) connects a language model to your own documents: procedures, contracts, manuals, client history. When an employee asks a question, the AI answers from your real information, citing its sources, rather than from generic knowledge. It's the reliable way to have an AI that actually knows your business.
A simple document automation or a first targeted agent starts at $5,000. An autonomous agent managing a complete workflow generally lands between $15,000 and $40,000. We always start by identifying the use case with the best return on investment for you, measured in hours recovered per week.
We design our integrations with security as the priority. The AI only accesses the data it needs to accomplish its task. Everything is hosted in your infrastructure or in secure cloud environments whose data is never used to train models. We don't pass your data to public models without your explicit agreement.
Yes, when it's designed properly. Law 25 requires the protection of personal information, data minimization, and traceability. Our integrations log access, limit transmitted data to the strict minimum, and can be hosted in Canada. It's one of the advantages of custom over US-based SaaS tools.
Yes, and that's why we always design with human validation mechanisms for important decisions. A well-designed AI agent has built-in guardrails. It knows when to escalate a decision to a human. We never hand 100% of the control to a model without supervision.
The best candidates are repetitive, high-volume tasks with clear rules: data entry from documents, email sorting, answers to frequent questions, report preparation. We look for a use case that recovers several hours per week from the first month, not a showcase project.
A first targeted use case (document automation, RAG assistant) is delivered in 1 to 3 weeks. A complete autonomous agent, with multiple integrations and guardrails, generally takes 4 to 10 weeks. We deliver in iterations: you see results within the first weeks.
No. Modern language models actually work well with unstructured data: emails, PDFs, notes, scattered documents. It's often the AI that brings order to your data, not the other way around. We assess your real situation during the initial analysis.
We choose the model based on the task, not the hype: GPT, Claude, or Gemini for complex reasoning, smaller or open-source models for simple high-volume tasks or strict hosting requirements. The architecture is designed to swap models without rebuilding everything.
In the SMBs we work with, AI takes over the repetitive tasks nobody wants to do: data entry, sorting, information lookup, first drafts. Your employees keep the decisions, the client relationships, and the complex cases. The typical result is a team that handles more volume without hiring, not positions being cut.
We start with a 15-minute call to understand your processes and identify the tasks where AI would have the best return on investment. It's free and without obligation. If AI isn't the right solution for your problem, we tell you frankly.
Let's talk about your project
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