A concrete use case
We start with a measurable repetitive task: the agent should save time, improve a response or accelerate a decision.
Build a useful and secure AI agent for your business: document search, support, qualification, reporting and workflows connected to your tools.
We start with a measurable repetitive task: the agent should save time, improve a response or accelerate a decision.
Access rights, sources, traces and automation limits are defined before the agent goes into production.
The agent can answer, request approval and hand over to a person when the context exceeds its guarantees.
Support, sales and operations teams looking to automate a repetitive, measurable process.
We adapt the scope to your organisation’s maturity: a focused pilot can validate value before you scale it.
We identify the process to automate, its frequency, exceptions and expected gain.
We connect the agent to approved documents and tools, with architecture suited to the confidentiality of your data.
Real cases help measure quality, errors, costs and escalation conditions.
We track quality in production and evolve rules, sources and integrations.
A chatbot answers a conversation. An AI agent can also find information, call a tool and chain actions according to defined rules.
Yes, with approved sources, access controls and an architecture chosen for the sensitivity of the information. Access should never be implicit.
The best starting point is a frequent, bounded and measurable process. We can scope it together before pricing a first version.