Contact

Meetings, organizational memory and work tracking

Observer

Product development

Meeting recording, source-linked analysis and a spoken agent with company context. Connects discussions, shared screens and previous work to decisions, tasks and approved Jira actions.

Explore the interface concept Application scope
Information foundation
Online or in-person meeting recording
Operational outcome
Source-linked decisions, tasks and meeting archive
Human responsibility
Speaker matching and task approval

Inside the application

Application workflow

Selected use cases, source information and operational outputs.

Inside the meeting

Brings audio, video and shared-screen context from online and in-person meetings into one record. Speech stays traceable through time and speaker references.

ObserverScenario / 01
Interface conceptSchematic example

Meeting recording

Audio and videoPermitted recording
Time-linked transcript
Speaker matching
Source interval

Lines represent conversation segments, not duration or emotion measurements.

Decision boundary

Speaker matching and task approval

  • Online meeting
  • In-person recording
  • Screen sharing
OutputSource-linked meeting record

Understanding the conversation

Examines topics, consistency with earlier statements and changing decisions through source segments. Speaker separation, pace, pauses and overlapping speech support review.

ObserverScenario / 02
Interface conceptSchematic example

From conversation to analysis

Topic segment
Candidate decision
Progress update
Source conversationEach interpretation links back to the relevant conversation segment.

Topic relationship schematic, not a time, stress or performance chart.

Decision boundary

Speaker matching and task approval

  • Topics & statements
  • Audio & speakers
  • Earlier meetings
OutputReviewable topic and communication analysis

A context-aware meeting agent

Observer AI answers questions using authorized company, project, participant and past-work context. It supports spoken interaction and can incorporate permitted visual and text context from a shared screen.

ObserverScenario / 03
Interface conceptSchematic example

Meeting agent

Company knowledge
Previous tasks
Permitted screen
Voice responseContext retained
Decision boundary

Speaker matching and task approval

  • Company & participants
  • Previous tasks
  • Shared screen
OutputSource-linked spoken or written response

Turning decisions into tracked work

Connects suggested tasks, owners, dependencies and progress to previous work. Approved tasks can continue through configured Jira and other integrations, with external execution results tracked separately.

ObserverScenario / 04
Interface conceptSchematic example

Task handoff

Candidate task
Work context
Illustrative work structure
User review
Assessment
Illustrative work structure
Approved Jira action
Next action
Illustrative work structure
Decision boundary

Speaker matching and task approval

  • Decisions & tasks
  • Ownership & progress
  • Human approval
OutputJira / work tracking / next meeting

Recording and analysis use permitted sources and access scopes. Audio signals support review; they do not determine emotion, stress, health or personality. Agent and integration capabilities are evaluated for each deployment.

Application approach

Scope and operating approach.

The scope, operating approach and boundaries of this work.

01

Return directly to the context

Turkish and English recordings become time-aligned transcripts. A statement, task or decision links back to the original audio or video segment.

02

An agent with company context

Observer AI uses company, project, participant and past-task information made available by the user. It can answer spoken questions aloud and incorporate permitted image and text segments from screen sharing. Supporting sources can be reviewed; accuracy and response time are evaluated against the model, data and deployment conditions.

03

Topic, speaker and communication analysis

Speaker separation, topic flow, consistency with previous statements and open decisions are considered together. Pace, pauses and overlapping speech are presented with source segments and confidence information for review. These are not conclusions about emotion, stress or health, nor personnel scores; uncertain matches require human review.

04

From suggested task to tracked work

The system identifies candidate tasks, ownership and progress while preserving links to earlier work and meetings. Users confirm owners, dates and content. Approved operations can be sent through a configured Jira connection; execution results and subsequent progress remain connected to the work context.

05

Local processing, controlled connections

Media storage and model processing can run locally. Google Meet recording and file upload are supported. Writes through Jira, API and MCP connections depend on user decisions.

In everyday work

Keeping work moving after a meeting

A decision appearing in a summary does not mean it is being followed up. Observer connects the discussion, its source recording and previous tasks so teams can reach the work that follows.

Observer / Working modelIllustrative use · no real customer data
ObserverInterface design concept
Weekly project review

Recording, context and follow-up in one workspace.

Fictional sample data
01Conversation record
Recording review
Participant A

The latest report changes the delivery scope. Was the previous task updated?

Participant B

Let’s link the revision to the existing task and confirm the owner and date.

Example scenario with participant consent
02Observer assistant
Observer, what changed from the previous decision?
Grounded answer · example

The previous task refers to the original report. The shared revision changes the scope; the task link needs review.

01 · Previous task02 · Shared report
Context used in this answer
Report revisionPermitted screen sharing
Previous decisionPrevious meeting record
03Task review
Awaiting user approval

Link report revision to the task

EvidenceConversation · 12:48
OwnerNot yet verified
Due dateNot yet verified
Target systemJira

A proposal is not a task already written to an external system.

Explore areas 01–03 with the tabs below. This visual is not a screenshot of the current product.
Recording

Return to the moment behind the decision.

Timestamps and speaker separation show which statement supports a proposal. Topic and consistency review stays connected to the original conversation; speech signals are not definitive emotion, stress or personnel assessments.

Context

See the evidence behind an answer.

The meeting agent answers using permitted company knowledge, previous tasks and shared-screen context. Source cards make answers reviewable. Spoken participation and screen access are bounded by session permissions.

Follow-up

Turn a proposal into a controlled work record.

The review panel separates task text, owner, date and target system. After the user verifies them, a configured Jira connection can execute the action. Approval and the target system’s response are recorded separately.

The whole operation

Information, decisions and outcomes stay connected.

These distinctions show the information the application receives, where it needs the user and what it leaves for the next operation.

Starting information
Online or in-person meeting recording
Human decision
Speaker matching and task approval
Resulting structure
Source-linked decisions, tasks and meeting archive

How do we assess its impact?

These are evaluation dimensions, not measured performance results. Comparisons use the same task types, data scope and human-review conditions.

  • Time to retrieve a decision
  • Task corrections
  • Work transferred to tracking

Related work

Related applications.

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