AI automation and AI agents
to save time every day.

Administrative automation uses AI workflows to handle repetitive everyday tasks: email triage, invoice reading, CRM updates, meeting summaries, reporting and document tracking. The goal is not to replace teams but to free several hours per week by delegating low-value steps to AI while keeping humans in control of sensitive cases.

An AI agent is a system that can receive an objective, understand context, use multiple tools and execute a sequence of steps to deliver a business result. While a chatbot answers a question, an AI agent can qualify a lead, search a knowledge base, create a CRM task or prepare a support reply. In a business context, it works with clear permissions, business rules and human validation on critical cases.

Automating a CRM with AI means reducing manual entry and triggering the right actions based on prospect status: automatic record creation from forms and emails, opportunity enrichment from exchanges, alerts on dormant opportunities, contextual follow-ups and meeting summaries. It requires an open CRM (API, exports, integrations) and a precise definition of business rules.

A chatbot answers questions in a conversation. An AI assistant helps a human write or research faster. An AI agent can use tools, follow several steps and trigger actions in a defined framework: qualify a request, update a CRM, prepare a report. The right choice depends on the expected outcome: inform, assist or execute a process.

A well-scoped first AI automation can usually be prototyped and tested within a few weeks, provided the workflow is clear and the relevant tools are accessible (APIs, exports, account access). We work in short sprints to deliver a concrete first use case quickly, then progressively extend it to other processes.

Qspell offers several engagement models depending on the mission: short fixed-cost audits to identify the right use cases, fixed-scope AI automation or software development projects, or ongoing retainers spanning several months. Pricing depends on workflow complexity, the number of connected tools and the level of human validation needed. An initial free call helps shape the most suitable proposal.