CRM-connected AI agents
Qualify requests, prepare meetings, enrich records and recommend next actions while preserving sales traceability.
Design · integration · production
Custom AI development connected to your business systems
TeamIA designs and deploys AI agents, RAG solutions and automations connected to CRM, ERP, documents and APIs, with controlled access and measurable outcomes.
Custom AI development starts with the process, not the model
We identify the decision, search or action to improve, then combine the required data, business rules, models and connectors. Delivery covers real-world testing, production, oversight and ROI measurement.
What TeamIA develops and integrates
Every solution has a precise scope, approved sources, human validation and success indicators before development starts.
RAG and document processing
Search, compare, extract and summarise approved sources with controllable answers.
ERP, API and internal-system integration
Trigger authorised actions in existing systems instead of creating another isolated tool.
Customer and employee assistants
Answer, route and escalate using the organisation’s access rules, languages and processes.
Analysis and decision support
Combine data, apply explicit criteria and produce an explained recommendation for human approval.
Security and oversight
Limit access, log actions, test sensitive cases and organise human takeover when required.
From scoping to a solution teams actually use
Delivery is phased so value and risk are validated before scope expands.
Scope the process
Volume, current effort, errors, data, users, business rules and success indicators.
Design the architecture
Model, RAG sources, connectors, permissions, validation and hosting environment.
Develop and test
Iterate on real cases, measure quality and handle errors and exceptions explicitly.
Deploy and measure
Progressive production rollout, training, oversight and improvement based on observed results.
Projects connected to real operations
These anonymised case studies show how TeamIA structures data, automates a business step and measures an operational result.
IA
Accelerating technical proposals for a metalworking SME with AI
A custom AI tool analyses drawings and prepares technical proposals while preserving business expertise.
Proposal creation time divided by four
View projectIA
Scaling knowledge transfer with an AI assistant
A multilingual assistant embedded in Microsoft Teams answers operators technical questions around the clock.
16 hours saved every day
View projectAutomatisation
Removing duplicate entry in a cleaning company
Field operations directly feed invoicing, payroll, scheduling and customer monitoring.
Payback achieved in under a year
View projectQuestions about custom AI development
How is custom AI different from a SaaS tool?
A SaaS tool covers a standard use case under its own rules. Custom development is relevant when the process, data, permissions or integrations are specific and create lasting value.
Does the project require training an AI model?
Not necessarily. Most projects combine an existing model, company data, RAG, business rules and secure connectors. The choice depends on the use case and confidentiality requirements.
How long does a first production use case take?
Timing depends on data, integrations and risk. TeamIA starts with a limited measurable process, tests it on real cases and expands permissions after validation.
Can TeamIA take over an already scoped project?
Yes. If the process, data and indicators are sufficiently clear, work can begin directly with architecture, integration and development.
Let us discuss your business process
A first conversation helps define the need, expected value and practical next steps.