rAImon
GALGO’s AI for critical infrastructure connects your operations and maintenance knowledge, documents, tools and permissions to help you make informed decisions.
Discover how it worksIndustry knowledge, built into AI.
rAImon draws on more than 25 years of experience serving major critical infrastructure. That experience brings industry knowledge to the environment where AI works: GALGO, specialized in managing operations and maintenance.
Documents, operational data, relationships, permissions and procedures give context to every query and guide every proposal. In regulated infrastructure, this connection makes it possible to work with the installation’s sources and rules, preserve traceability and submit changes for review.
From the document to the clause you need.
Before taking action, responding or justifying a decision, you need to find its basis. In a concession, that can mean working through contracts, legislation and maintenance manuals to find the relevant section.
Tell rAImon what you need to substantiate. It searches the authorized library, locates passages related to your query and shows you the excerpt and its reference so you can review the original document.
Spend less time finding the text and more time assessing what it means for your next action.
What does the documentation say about this maintenance activity?
A reviewable excerpt, its source document and the available locator. You can go to the source and review its context.
Illustrative workflow; this is not an actual clause or response.
Searches cover documents that have been added to the library and are accessible to the user. Reading coverage and locators depend on each source; validity and applicability to the case require review.
How it works
A question starts a process within your operations and maintenance environment: understanding what you need, consulting the relevant information and using the capabilities available in your GALGO installation.
Select a capability to explore it.
Knows how GALGO works.
Consults product knowledge checked against its implementation: documents, fields, relationships, permissions, menus and visualizations. This helps explain what is possible and guide proposals within GALGO’s rules.
Product knowledge is kept separate from each customer’s information.
In practice
Examples change automatically every 12 seconds. Select a dot to explore at your own pace.
The capability to help.
The control to decide.
When operating regulated infrastructure, the process matters as much as the result. rAImon works within GALGO’s permissions and procedures; configuration proposals go through human review before they are applied.
Access in context
Queries are scoped to the installation, the user’s identity and their current permissions.
A basis you can check
The excerpt and its reference let you review the original contract, manual or official document. rAImon highlights reading limitations when they are relevant.
Reviewable changes
Proposals show their scope. Approval and saving follow the corresponding native workflow.
A little more detail.
What does rAImon remember?
History gives a conversation continuity. Corrections confirmed by authorized people can also be retained as knowledge for that installation, with their origin and versions. Their validity and access permissions are checked when retrieved; they can be superseded, withdrawn or become outdated if the information they depend on changes.
Can it find a contract clause or a section of a manual?
rAImon searches contracts, manuals, regulations and other official documents added to the library and accessible to the user. It can combine keyword matches with semantic search to find passages related to the question. It shows the excerpt and its reference; a page, clause or other locator is used when available in the source. This lets you review the text and its context before relying on it. If reading is partial or sufficient support cannot be found, it must state that limitation. It does not automatically search all legislation or independently certify its validity or applicability.
How does it decide what to consult and when to cross-check?
rAImon uses the context and enabled tools to determine the next step. It can consult multiple sources and search again if information is missing. When configured, JEV supports model selection, source relevance and semantic cross-checking. That support does not guarantee a response’s accuracy: data and calculations require their own checks, and the decision remains with the person.
What does rAImon bring to your team and infrastructure?
Reclaim time. Improve the quality of work. Operate with better judgment.
rAImon’s value lies in what your team can do with information: resolve a question, substantiate a response, understand an incident or better prepare an action. Integrated into GALGO, it connects that work with your infrastructure’s data, documents and procedures.
Reclaim the hours spent searching.
Finding a clause, working through a manual, gathering background information or preparing a first draft takes time every day. rAImon helps reduce that repetitive work so your team can focus more on analysis, decisions and operations.
Put knowledge within your team’s reach.
Helps each person consult the sources and background information they are authorized to access. Supports better-founded work and more consistent responses, with documentary evidence available for review.
Better understand what is happening in your infrastructure.
Queries operations and maintenance records to explore recurring incidents, recorded defects and their distribution or evolution. This helps frame better questions and guide the review of priorities using the available data.
Improve the service your users receive.
Gathers the context of a user request or complaint (PQRS), reviews its background and prepares a clear, well-supported response. Helps your team spend less effort compiling information and more on understanding the user’s needs and providing quality service.
Decide with greater confidence and attention to safety.
Before an action, brings relevant information, documented checks and unresolved questions to the responsible person. Supports better-informed preparation, with technical review and safety procedures as reference points.
Keep contracts, manuals and regulations in view.
Helps cross-check proposed actions against relevant passages in the documentation added to the library. Having references in view makes it easier to follow protocols and review applicable contractual and legal obligations, rather than relying on memory alone.
More capability for your team, with your infrastructure’s knowledge at hand and every decision under the control of the people responsible.
WhatsApp as the channel, GALGO as the system.
Use WhatsApp as an interface to reduce friction while keeping evidence in GALGO. Enabled workflows connect communications with traceable records, permissions and auditing.
- Maintenance alerts for field crews.
- Incident reporting with photos and location.
- Quick KPI and status queries.
- Automatic entries in the operations log.
Governance and security
Responsible, secure AI.
We implement AI with strict controls. rAImon scopes queries to the installation and the user’s current permissions. Configuration proposals are reviewed before they are applied.
- Granular roles and permissions (RBAC).
- Traceability of queries and proposals according to configuration.
- Data separation and privacy policies.
- Integration with corporate logging and monitoring.
Implementation
A deployment tailored to your operation.
We define the sources, enabled capabilities and review workflows for your installation.
1) Connect data
Library, records, GIS and maintenance data accessible to each user.
2) Define roles
Permissions, action scope and security controls.
3) Validate use cases
Queries, analyses and drafts checked against your sources and reviewed by your responsible teams.
AI pilot
Meet rAImon with your own operational data.
We design a pilot with clear measures of operational value.
Expected outcomes
- Less time spent on queries and reporting.
- Better coordination between the control center and field teams.
- Queries and proposals grounded in your sources.