Danbwa can help your teams file documents, find information, prepare replies, track cases, follow up at the right time and update software without unnecessary re-entry.
Assess a first workflowAn AI agent is a system able to use tools, consult your documents and chain actions to achieve an objective. Its autonomy is configured with the client according to their needs, rules and risk exposure.
The assignment, scope, accessible data and success criteria are defined with the client.
The agent accesses only the applications, functions and credentials intended for its role.
It consults authorised documents and databases, then structures the elements required for action.
It executes permitted actions autonomously and requests approval only at agreed thresholds.
Recurring tasks are scheduled, monitored and restarted according to defined rules.
It can distribute subtasks among several agents and consolidate their results within one process.
The goal is to automate as much as possible within a controlled, observable and adjustable framework.
Tools, data, actions, schedules, volumes and recipients are configured according to the agent’s role.
The client chooses what runs automatically, what requires approval and what remains prohibited.
Logging, alerts, consumption limits, stop mechanisms and recovery procedures are defined from the outset.
ChatGPT, Claude and other hosted services already provide advanced assistance and automation. Danbwa complements these capabilities with an operational layer tailored to the organisation: continuous execution, business integrations, durable memory, scheduling, security rules and control of the runtime environment.
Hermes turns an AI model into a persistent, connected and manageable digital operator integrated into the client’s processes.
The gateway, scheduled jobs and triggers run on a VPS or dedicated environment according to the agreed service level.
Cloud and local models can be selected for each task, with configurable fallback mechanisms.
Useful knowledge, preferences and reusable procedures can persist across sessions.
Files, systems, browsers, messaging, APIs, MCP and internal applications can be connected in one process.
The same agentic environment can be reached through Telegram, WhatsApp, Slack, Discord, email, web or terminal.
Multiple agents, profiles, teams or projects can be separated and coordinated according to defined rights.
Hermes is our current reference architecture, not a mandatory dependency. Depending on the context, Danbwa may use OpenClaw, a future compatible engine, specific components or a combination of solutions.
Architecture, integrations, permissions, memory, updates, continuity, controls and the system’s evolution.
Agents, tools and exchanges can be structured by user, team, department, role, client or project, with access levels defined with you.
An individual exchange governed by defined roles; administrative access and logging are documented with the client.
A team, department or project works with the same agents and the same knowledge base.
A client, a site or a sensitive file has its own partitioned space, with no mixing with the rest of the organisation.
AI has a real cost: model calls, infrastructure, administration time. Danbwa puts in place a strategy to manage it rather than discover it on the invoice.
A consumption cap per team or per use, set together with you.
Visibility on what is used, by whom, and for which tasks.
Complex or sensitive cases; the rest runs on more economical models.
No API cost, but a real cost in hardware, electricity and administration — we tell you this plainly.
If a provider is unavailable or briefly too costly, another model takes over.
For the continuity of your business, not just for price.
In French Guiana, the Caribbean and parts of South America, internet connectivity is not always guaranteed. Our architectures account for this from the design stage.
In case a cloud service becomes unavailable.
For essential tasks, even offline or with degraded connectivity.
Tasks resume as soon as the connection returns, without losing work.
You know what works in degraded mode and what does not.
Running a model on infrastructure you control changes the nature of your relationship with your data.
On your premises, or with a host chosen together with you.
Useful in case of outages or unstable connections.
Administrative, technical, contractual or other information that requires restricted access.
A local model for everyday or sensitive tasks, a cloud model for occasional, more demanding ones.
Your data and processes are not locked into a single solution.
We use these terms precisely, because they cover very different realities in cost, duration and effect.
Teaching your teams to use the agents and phrase their requests.
Gathering and organising your documents so an agent can refer to them.
The agent looks up relevant information in your documents before answering, rather than improvising.
Precise instructions given to the agent so it follows your working methods.
Checking, with concrete cases, that the agent responds correctly before a wider rollout.
A targeted adjustment of an existing model on your data, for specific use cases.
Building a model from scratch. A heavy undertaking, distinct from everything above, which we do not offer as a standard service.
Simply describe what your teams have to find, file, copy, check or follow up. Together we will identify one useful first improvement.
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