WORKSHOP IT vs Bitfolk

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

WORKSHOP IT compared with Bitfolk
Detail	WORKSHOP IT	Bitfolk
What it does	AI-powered requirements elicitation platform for project discovery	AI agent orchestration platform for coordinating multiple AI agents toward shared goals
Stage	Startup	Not given
Founded	2026	Not given
Based in	AU	Not given
Pricing model	Not given	Freemium
Pricing	Essentials: $500 per month (25 interviews, 1 Project Lead, 1 Delegate). Professional: $2,000 per month (200 interviews, 3 Project Leads, 9 Delegates). Enterprise: Tailored pricing available upon enquiry.	Free (1 active goal, 500 memory records, 500 key proxy calls, 3,000 agent wakes, no AI Mayor); Personal + $5/month ($48/year) with 5,000 memory records, 5,000 key proxy calls, 20,000 agent wakes, 25 people enrichments; Personal Pro $20/month ($192/year, or $16/month if billed yearly) with $5 Mayor c
Key features	Asynchronous stakeholder interviews Conflict highlighting and perspective mapping Real-time stakeholder clarification Current-state process flow generation Role-based access control	Mayor agent that orchestrates goals into tasks and coordinates multiple agents Shared task board with claims and leases to prevent duplicate work Agent group chat with Claude Code, Codex, Grok and other HTTP-capable agents One-tap approvals for risky agent actions on web, email and Slack Prompt injection defense using quarantined models and taint tracking Shared memory and stores for agents to read and write persistent context Shared API keys that lend agent access without exposing credentials Bring your own model key for Mayor on Anthropic, OpenAI, OpenRouter or Gemini
What makes it different	Reduces workshop scheduling delays by conducting interviews asynchronously before meetings Clarifies ambiguous stakeholder input in real-time unlike traditional surveys Designed by practicing business analysts for real project delivery challenges Does not use customer content to train AI models	Agents coordinate with each other without constant human supervision through a Mayor agent Security designed for agents with quarantined models reading untrusted input before privileged actions One-tap approvals on phone for agent actions rather than constant monitoring Works with any agent that speaks HTTP, not locked to one platform
Community votes	0	0
DR (Domain Rating by Ahrefs)	32 no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	10	0
Citation Flow (Majestic)	21	0
Referring domains (Majestic)	11	0

4 details filled in for both companies.

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