Business knowledge assistant
Let your team ask questions about approved company documents, procedures or product information and get useful answers without searching through folders and files.
AI agents
AI agents
From €2,500Put AI to work on a defined business task—helping your team understand information, prepare work, answer questions or support decisions.
Each agent is built around approved knowledge, explicit permissions and human oversight so AI adds useful capability without operating beyond its intended role.
What this gives your business
AI can add value where work depends on interpreting information, searching knowledge, reviewing documents or preparing a next step. Logicode creates agents around a specific business purpose, connecting them to the information and tools they need to perform that task.
The result is practical AI assistance embedded into the way your team works, with clear boundaries around what the agent can access, recommend and do.
Logicode agents can be embedded into a Business Process Application, Customer or Supplier Portal or Operations System, or integrated with your existing applications.
Outcomes
- Reduce time spent searching, reviewing and interpreting information
- Give teams faster access to relevant knowledge and context
- Support repetitive analysis and preparation work
- Improve consistency in document-heavy or knowledge-intensive tasks
- Keep people in control of important decisions and actions
- Limit agents to approved information and capabilities
- Make AI activity visible and traceable
- Add AI to existing business processes without giving it unrestricted access
What you receive
- One AI agent designed around a defined business task
- Connection to approved knowledge or data sources
- Agent instructions and behaviour configured for the intended use
- Defined permissions for available tools and actions
- Human approval for sensitive actions where required
- Integration with the agreed application or user experience
- Test scenarios covering expected behaviour and boundaries
- Handling for uncertainty, unsupported requests and escalation
- Usage tracking
- Execution and activity history
- Isolated customer deployment environment
- Production deployment and launch-readiness checks
Example AI agents
Document analysis assistant
Upload a document and have the agent extract important information, summarise key points and highlight items that need attention before a person reviews them.
Request and email assistant
Analyse incoming enquiries or requests, identify what they are about, extract the important details and prepare a response for someone to review.
Drafting assistant
Turn approved information, templates and task context into first drafts of reports, responses, proposals or other recurring business content.
How this solution comes together
- 1
Define the task and expected result
Agree what the agent should help with, what a good outcome looks like and when a person needs to take over.
- 2
Connect the right information and capabilities
Configure approved knowledge, permissions, tools and any required human approvals.
- 3
Test with realistic scenarios
Evaluate how the agent responds to expected cases, uncertain situations and requests outside its permitted role.
- 4
Launch with appropriate controls
Deploy the agent with usage visibility, activity tracking and the agreed operational safeguards.
AI that operates within clear boundaries
Approved information
Agents use only the knowledge and data sources approved for their task.
Explicit permissions
Access to tools and actions is granted deliberately rather than assumed.
Human oversight
Actions with meaningful business impact can require a person to review and approve them.
Visible activity
Agent interactions and actions can be recorded so their use can be reviewed.
What the starting package is designed around
- One defined AI use case
- Approved knowledge or data relevant to that task
- Clearly defined agent behaviour and boundaries
- The permissions required to perform the agreed task
- Human oversight where the use case requires it
- Integration with one agreed application or user experience
Available additions
- Additional agent capabilities or use cases
- Additional approved knowledge sources
- Integration with Business Process Applications, portals or Operations Systems
- Integration with existing business software
- Additional tools and controlled actions
- Advanced reporting and usage dashboards
- More sophisticated evaluation and quality monitoring
- Additional agent interfaces or user experiences
Recommended maintenance
Agent Care
Ongoing monitoring, technical maintenance, permission reviews and support for AI agents operating in production.
€249 per month
Frequently asked questions
What is included in the €2,500 starting price?
The starting price covers one AI agent designed around a defined business task, including connection to approved knowledge or data sources, configured behaviour and boundaries, defined permissions for tools and actions, human approval for sensitive actions where required, integration with one agreed application or user experience, test scenarios, handling for uncertainty and escalation, usage tracking, activity history, an isolated deployment environment, and production launch-readiness checks. Additional capabilities, knowledge sources and integrations are quoted separately.
What kinds of tasks can an AI agent support?
Agents are suited to defined tasks such as finding and explaining approved knowledge, reviewing documents against requirements, summarising case information, suggesting next steps for human review, and preparing drafts using approved information. Each agent is scoped to a specific business purpose rather than general open-ended use.
What information can the agent access?
Only the knowledge and data sources approved for that agent’s task. Access is configured deliberately during implementation, and the agent does not receive unrestricted access to company information by default.
Can the agent use our internal documents and knowledge?
Yes. Approved internal documents, policies, procedures and other trusted business sources can be connected to the agent when they are relevant to the agreed task.
Can an agent take actions in other business systems?
Yes, when those tools and actions are explicitly permitted for the use case. Permissions are granted deliberately, and actions with meaningful business impact can require human approval.
When is human approval required?
Human oversight is configured where the use case requires it—typically for actions or recommendations with meaningful business impact. The approval points are agreed during design so the agent can assist without operating beyond its intended role.
Can an agent be added to an existing Logicode application?
Yes. Logicode agents can be embedded into a Business Process Application, Customer or Supplier Portal or Operations System as part of the agreed implementation.
Can Logicode integrate an agent with software we already use?
Yes. Integration with existing business applications can be included when required and is quoted based on the systems, information and actions involved.
Which AI models or providers can be used?
The model or provider is selected to fit the agreed task, security requirements and commercial constraints. The specific approach is confirmed during scoping and reflected in the quotation.
How is AI usage charged?
Third-party AI usage and related provider charges are typically billed separately based on consumption. The commercial model for usage costs is explained during quotation so the starting package and ongoing AI costs remain clear.
What happens when the agent is uncertain?
Agents are configured to handle uncertainty, unsupported requests and escalation. When a request falls outside the approved knowledge, permissions or confidence needed for a reliable response, the agent can defer to a person rather than guessing.
What support is available after launch?
Agent Care provides ongoing monitoring, technical maintenance, permission reviews and support for AI agents operating in production. It is priced separately from the starting package.