Flagship Product

From client meeting to project-ready specification.

Ikhora Meet-to-Spec turns transcripts, recordings, briefs, and supporting documents into PRDs, feature lists, architecture notes, Jira/Linear tasks, proposals, milestones, and approval-ready project artifacts.

Human approval by defaultAgentWatch monitoringProduction-ready deployment
Workflow Pipeline
1
Input
Zoom/Google Meet/Teams transcriptAudio recordingClient brief
2
AI Agent
Extract requirementsDetect blockersMap features
3
Output
PRDFeature listUser stories
Human review pending
→ Approved → Exported
Interactive Demo

See how a meeting becomes execution-ready artifacts.

Walk through each stage of the Meet-to-Spec pipeline — from raw transcript to approved deliverables.

Client Discovery Call — Acme Corp
47 min · 6 participants
Sarah (PM)We need to migrate our legacy billing system to a modern platform. The current system takes 3 days to process end-of-month.
James (CTO)The API layer needs to support multi-tenant architecture. We're looking at 50k concurrent users by Q3.
Priya (Design)The dashboard should show real-time billing status. Users want to see their invoice history without contacting support.
Mike (CEO)Budget is approved for $180k. We need this live within 14 weeks. Can you start next Monday?
AgentWatch: 98% confidence
Processed in 4.2s
The Problem

Client calls are full of context. Delivery teams lose hours converting it.

Requirements are scattered across calls, notes, emails, PDFs, and chat. PMs and BAs manually produce the same artifacts again and again.

The work after the conversation is where execution breaks. Ikhora Meet-to-Spec fixes this by turning raw meeting context into structured, reviewed, execution-ready deliverables.

Hours rewriting meeting notes into PRDs
4-8 hrs per meetingAuto-generate PRD from transcript
Requirements scattered across channels
Missing context & blockersUnified requirement extraction
Manual task creation in Jira/Linear
2-4 hrs per projectAuto-create task structures
Slow proposal turnaround
Days to weeksDraft proposal in minutes
Input Sources

Everything from the conversation.

Zoom/Google Meet/Teams transcript
Audio recording
Client brief
Existing documents
Emails
Chat notes
Screenshots
PDFs
Output Artifacts

Execution-ready deliverables.

PRD
Feature list
User stories
Acceptance criteria
Technical architecture notes
API assumptions
Milestone plan
Delivery timeline
Proposal draft
Risk and blocker list
Open questions
Jira/Linear task structure
Core Features

Built for teams that need structured output from every conversation.

01
Transcript to PRD
02
Meeting to feature list
03
Meeting to Jira/Linear tasks
04
Client brief to proposal
05
Milestone and delivery plan
06
Human approval workflow
07
Version history
08
Export to tools

Exports to the tools your team already uses.

Jira
Linear
Notion
Google Docs
Microsoft Word
Slack
Teams
Trello
ClickUp
GitHub
Google Drive
SharePoint
Jira
Linear
Notion
Google Docs
Microsoft Word
Slack
Teams
Trello
ClickUp
GitHub
Google Drive
SharePoint
Human-in-the-Loop

AI generates. Humans approve.

Meet-to-Spec does not blindly push tasks. A human reviews, edits, approves, and exports every deliverable. This ensures quality, maintains control, and builds trust.

Review
Examine AI-generated deliverables before they move forward.
Edit
Refine requirements, tasks, and proposals with your expertise.
Approve
Confirm and export to your project management tools.

KPIs this product improves.

Hours saved per meeting cycle
Proposal turnaround time
Requirements completeness
Manual rewriting reduction

Implementation pricing.

Starter
$3k–$5k
setup
$299–$799/mo
Single workflow
Basic integrations
Email support
Most popular
Growth
$5k–$10k
setup
$799–$2k/mo
Multiple workflows
Advanced integrations
Priority support
Monthly optimization
Enterprise
Custom
setup
Enterprise retainer
Custom workflows
Full platform access
Dedicated team
SLA guarantee

Send us one messy meeting. We'll show what execution-ready looks like.

See how Meet-to-Spec turns conversations into structured deliverables in minutes, not hours.