Customer service
Answer from approved sources, qualify requests and hand sensitive cases to the right team.
TeamIA builds supervised AI agents for SMEs and larger organisations, connected to CRM, ERP, internal documents and business workflows.
A TeamIA agent combines a language model, memory, document RAG, business rules and API connections. Scope, access rights and approval steps are defined before production.
Answer from approved sources, qualify requests and hand sensitive cases to the right team.
Enrich accounts, prepare meetings, prioritise opportunities and document actions in the CRM.
Search internal procedures, contracts and proposals with sourced, controllable answers.
Perform authorised actions in CRM, ERP, Microsoft 365 and internal tools, with approval when needed.
Combine data and business rules to recommend an explained next action.
Deploy assistants and agents for teams and customers across France, Luxembourg and international markets.
The right level of autonomy depends on the process, available data and required approvals. TeamIA selects the simplest architecture capable of delivering the expected result.
Answers and searches a knowledge base without changing business tools.
Prepares a summary, recommendation or draft for human approval.
Runs a stable sequence of rules and actions across applications.
Assesses context, selects an authorised action and executes it with traceability.
Choose a precise task, users, accessible data and success indicators.
Integrate sources and tools, define permissions and test on real business cases.
Train teams, supervise actions and improve the agent from observed results.
Cost and delivery time depend on connected systems, data quality, authorised actions and security requirements. A focused agent is faster to validate than a general-purpose system.
The best agent solves a defined process using the company’s actual data and tools. Model choice follows business scoping, permissions, approvals and success metrics.
A chatbot mainly answers questions. An AI agent can also retrieve data, apply rules and perform authorised actions in business systems.
Yes, through APIs or a controlled integration layer with explicit fields, permissions, approvals and activity logs.
Timing depends on scope, data and integrations. TeamIA starts with a limited use case, tests real situations and expands permissions only after validation.
A first conversation helps define the need, expected value and practical next steps.