01
Context & knowledge
Documentation, internal information and relevant sources organized so the system can retrieve what each task needs.
AI ASSISTANTS
AI assistants built around your company.
An enterprise assistant should not begin and end in a chat window. We design the context, connections and capabilities it needs to work inside real processes.
Explore an implementationDEFINITION
What is an enterprise AI assistant?
An enterprise AI assistant is a system designed to use an organization’s specific context, rules and tools rather than operate as an isolated generic assistant.
The architecture may combine internal knowledge, RAG when a case requires retrieval from specific sources, permissions, tools, skills, integrations and human escalation. The exact combination depends on the process and the appropriate level of autonomy.
IMPLEMENTATION
What an implementation can include
02
Instructions & behavior
Rules and criteria adapted to the organization’s process, language and constraints.
03
Tools
Capabilities to consult services or execute permitted actions.
04
Skills
Reusable functions designed for specific tasks.
05
Integrations
Connections to existing systems when technically viable.
06
Oversight
Mechanisms to observe behavior and keep human control where appropriate.
JUDGMENT
Not everything needs an autonomous agent.
Part of our work is deciding when to use AI, when deterministic automation is enough, and when to combine both. The goal is not to maximize AI usage; it is to build the right system for the process.
QUESTIONS
Frequently asked questions
When a process needs company context, internal knowledge or tools consistently and an isolated generic assistant is not enough.
No. We use RAG when a case requires retrieving knowledge from specific sources. If context is better handled another way, we design the appropriate architecture.