AI integration and business automation services
AUTOMATETHE IMPOSSIBLE.
Generative AI, voice agents, internal assistants, RAG, and automations integrated into real business processes. Secure, private, measurable, and ROI-oriented.
Direct answer
AI services connected to operations, not an isolated demonstration
Daillac designs and integrates artificial intelligence solutions that use the company’s authorized data and tools to perform a specific task. An engagement may combine an internal assistant, phone agent, RAG knowledge base, document extraction, or CRM and ERP automation. The right approach depends on the process, risk level, and outcome to be measured; AI is selected only when it provides clearer value than conventional automation.
Use cases
Pick a scenario,
watch the workflow.
Workflow: Customer Support
Handle phone calls with AI agents
We deploy voice AI agents that answer inbound calls, qualify requests, create useful summaries, and route calls to the right human contact whenever needed.
Enterprise Grade Security
SECURITY FIRST
We do not play with your data. Every AI solution is designed with permissions, logs, safeguards, human validation, and hosting adapted to your risk level.
Private Cloud
Models hosted on your side, private cloud, or API depending on your IT reality.
Data-use controls
Providers and settings are selected to prevent public-model training with your data when the engagement requires it; this is verified and documented.
Access Control
Granular permissions, logging, and role separation per user.
Capabilities
Our AI Modules
Evidence
AI products built end to end
Among Daillac's AI engagements, we selected Bookia and Maillages for detailed publication here. This selection illustrates two distinct uses: AI that converses and acts within operations, and AI that helps identify stronger professional matches.
Bookia — omnichannel AI agent
A partnership project combining a phone agent, website and social chatbots, reservation automation, and controlled access to the data needed to answer customers.
Read the case studyCASE_02Maillages UQAM — AI-assisted matching
A platform designed to connect business sellers, buyers, and successors based on relevant matches, with algorithmic support and human validation.
Read the case studyDelivery method
From a use case to operational AI
The project moves through verifiable stages to limit risk, confirm response quality, and integrate the solution into the team’s actual work.
- 01
Map the process, users, decisions, and expected business outcome.
- 02
Identify authorized data and systems, along with security and compliance requirements.
- 03
Build a limited POC with measurable criteria for quality, timing, and usefulness.
- 04
Complete integrations, tests, safeguards, fallbacks, and human handoff.
- 05
Deploy progressively, monitor results, train teams, and improve the solution.
Delivery
Concrete Deliverables
- Process mapping
- Fast measurable POC
- Integration with existing tools
- Progressive production rollout
- Security and Law 25 safeguards
- Documentation and controlled prompts
- Team training
- Monitoring, logs, and maintenance
Scope and budget
What affects the cost of an AI project
The budget depends less on the model name than on the work required around the process, data, integrations, and expected reliability. The initial diagnostic isolates a useful first scope before the solution is expanded.
- Number of use cases, channels, languages, and user profiles.
- Quality, volume, sensitivity, and availability of the required data.
- Integrations with telephony, websites, CRM, ERP, calendars, email, or APIs.
- Security, hosting, logging, and compliance requirements.
- Expected accuracy, response time, evaluations, and human validation.
- Support, monitoring, maintenance, and pace of change after deployment.
FAQ
AI integration frequently asked questions
Which business processes can be automated with AI?+
Strong candidates are repetitive tasks involving large amounts of text, documents, calls, or data: request qualification, information retrieval, data entry, extraction, summaries, follow-up, and preparation of actions in business tools.
Should an AI project begin with a POC?+
Often, yes. A well-scoped POC tests data quality, response reliability, integrations, and operational usefulness before a wider deployment. It should have an explicit scope and success criteria.
How much does an AI integration project cost?+
Cost varies with the use case, channels, volumes, data, integrations, security, and required monitoring. The diagnostic turns these variables into an estimable scope and separates the POC from production phases.
How long does it take to put an AI solution into production?+
The timeline depends on data availability, system access, integrations, and risk. After discovery, Daillac proposes a progressive delivery sequence: validate the use case, build the POC, test, integrate, and deploy under control.
Can you integrate AI with our CRM, ERP, or database?+
Yes, when the systems provide suitable access. The integration can retrieve or synchronize data, trigger automation, and return results to the tool used by the team, with the necessary permissions and logs.
How do you protect data used by AI?+
Protection depends on the selected architecture: data minimization, permissions, encryption, providers and hosting regions, retention policy, logs, tests, and human validation. These choices are documented according to the engagement’s context and risk.
Does AI replace employees?+
The project first aims to automate specific tasks, accelerate information retrieval, and help teams process requests. Sensitive decisions, exceptions, and out-of-scope situations should retain appropriate human involvement.
Does Daillac serve businesses in Montreal?+
Yes. Daillac is based in Saint-Jerome and serves businesses across Greater Montreal, including Montreal, Laval, the North Shore, and the Laurentians.
GET AHEAD.
PROJECT.
Generative AI, voice agents, internal assistants, RAG, and automations integrated into real business processes. Secure, private, measurable, and ROI-oriented.
Launch the POC