Preparing to speak to an event organiser
This example shows the module’s role in a hotel process. We define the source scope and available actions for each implementation.
Company matching the MICE offering
A sales representative wants to check who may be responsible for events and whether the hotel already has a relationship with the company. An available post mentions a recent team meeting.
A lead to verify, not a ready-made spam list
The assistant passes the available context to the next research module. The sales representative verifies the person’s role and whether contact is appropriate. The prepared message remains a draft until an authorised person approves further action.
- Information sources and dates
- Facts separated from hypotheses
- Control over outbound contact
What does this module cover?
First, we establish the permitted method of obtaining data and the scope of activity on the specific account. We can work with authorised integrations or material deliberately shared by an employee. We only enable saving and sending when the method and permissions genuinely allow it.
Company and people context
Available information can support research and assessment of fit with the hotel’s offering.
Relationship continuity
Shared history helps the team avoid restarting a conversation already handled by colleagues.
Action preparation
Further modules can suggest contact or content while leaving the decision to a person.
How do we launch the solution?
Access verification
We check permitted functions, platform terms and the scope of account authorisation.
Data agreement
We select the information needed for research and define how it should be stored.
Sales process testing
We check sources, uncertain matches and approval of every significant action.
What goes into the module and what comes out?
We separate source material from the tool’s output. This helps subsequent modules understand which context they can use.
What does AI use?
- Permitted LinkedIn context
- Selected companies or contacts
- Agreed business objective
What does the team receive?
- Information for research
- Relationship context
- Suggestions for further action
Permissions and decisions remain with the hotel
Before launch, we agree data access, responsible people and how exceptions will be handled.
The account owner’s consent does not replace the platform’s terms. By default, we separate viewing from action; contact, invitations and posts require additional rules, limits and an activity log.
The module is not intended to bypass security measures, download profiles in bulk or send uncontrolled messages. It does not guarantee access to private data or functions unavailable to the relevant integration.
What changes in day-to-day work?
The sales representative can assess a company based on available context, not just its name.
The conversation proposal is based on the objective and a verified relationship.
Which sources and tools do we connect the module to?
If the required action cannot be performed through an approved integration, it remains a manual task supported by AI. We do not promise universal account automation.
Related process elements
Its place in the implementation journey
These links come from the roadmap. Requirements form the basis of each node, while enrichments extend its capabilities. This does not mean that all subsequent modules must be launched at once.
Modules that require this element
Modules this element enriches
Frequently asked questions
Does the bot send invitations and messages by itself?
We do not assume so. Any such scope must be permitted, configured separately and approved; research and draft preparation may remain the core use.
Does LinkedIn confirm who buys MICE services?
Not always. A person’s position and posts may provide an indication, but their role in the purchasing decision must be verified.