Voice and text interviews that structure processes, responsibilities and documentation to guide execution.
RIZUMU / APPLIED AI
MapeIA
InterviewStructureProcess
ILLUSTRATIVE FLOW · From know-how to process
The challenge
An operation’s know-how is usually scattered across people, conversations and documents. Turning it into a clear process takes questions, organization and validation.
The solution
An AI-assisted mapping project that runs interviews, checks whether the information is complete and organizes flowcharts, SIPOC, SOPs and RACI. Work in Jira starts as a draft and is opened only after approval.
The flow starts by interviewing the people who know the work. Text or voice answers feed a shared information structure, while completeness rules point out what still needs to be clarified. This gives the documentation an organized basis for discussing activities, inputs, outputs and responsibilities with the people involved.
The same discovery can support different deliverables: a flowchart to talk through the sequence of work, an SOP to record how the work is done or a RACI matrix to make responsibilities explicit. When the topic becomes a project, the Jira draft keeps an approval step. The business value lies in connecting diagnosis, documentation and next steps.
What the project brings together
Text and voice interviews
Rule-based completeness checks
Flowcharts, SIPOC, SOPs and RACI
Jira drafts with approval
FROM PROJECT TO OPERATIONS
Use cases
Illustrative scenarios to picture how this work can be applied in a company’s day-to-day operations.
USE CASE 01
A clearer approval workflow
The scenario
An operations team wants to understand why request approvals change depending on who receives the request.
How to apply it
Use interviews to map the current path, identify missing information and review the steps and handoff criteria with the people responsible.
What the team gets
A process map, a list of open questions and a responsibility matrix for the team to validate.
USE CASE 02
An idea ready for development
The scenario
A business leader has an automation proposal, but the tech team still needs to understand the process and the scope.
How to apply it
Run discovery through interviews, capture the operational context and turn the reviewed content into a draft work item.
What the team gets
A structured brief and a Jira draft that goes through approval before it is opened.
GROUP / Processes and procurement
Offers built on MapeIA.
Choose the starting point closest to your challenge. Each offer proposes a scope of work based on the experience of this project.
MapeIA01
Workflow mapping
Who it’s for Managers of an operation that needs to be understood and aligned.
Run discovery on a clearly scoped process, gathering what people know and organizing the points that need a decision.
Proposed deliverables
Interview guide and structured record of the answers
Who it’s for Product leaders and teams that receive business requests.
Structure the handoff from an operational need to the start of a project, with context, documentation and explicit approval before the work moves forward.
Proposed deliverables
Brief built from the interviews and supporting information
Process documentation tied to the proposed request
Jira draft and approval flow configured within scope
We can combine offers and adapt the deliverables. Data, integrations, acceptance criteria, timeline and investment are defined in the proposal for your company.