STANCAST AI · WORKPLACE KNOWLEDGE SYSTEMS
Stancast AI helps labour and workplace organizations turn complex agreements, policies, and institutional knowledge into practical AI tools people can use.
Decades of workplace and union experience. Hands-on with AI and SaaS since 2021.
EXPERIENCE BEHIND THE PRACTICE
26
Years in public service
11
Years representing workers
7
Years leading workplace facilitation
Years building with AI & automation
THE CHALLENGE
The knowledge is there. Getting to it is the hard part.
Representatives and small teams are stretched thin. Knowledge sits with a few experienced people and leaves when they move on. Answers vary between individuals, making consistent support difficult.
Collective agreements, policies, and procedures are hard to search and interpret. People expect timely support across large areas, while access to experienced help remains uneven.
Too much time goes to locating information the organization already holds. This is a capacity and knowledge-access problem, not a shortcoming of individuals.
WHAT STANCAST AI BUILDS
Make what you know easier to use.
Stancast AI starts with real workplace problems and designs tools around them. AI supports human expertise; it never replaces it.
Reliable information, within reach.
AI knowledge assistants help people find answers in your agreements and policies, with source material they can check.
Knowledge that stays.
Searchable workplace knowledge systems bring scattered documents and institutional memory into a place your people can use.
Less repetition. More capacity.
AI agents can support repetitive tasks, such as finding relevant documents and organizing routine requests, leaving people more time for work that needs judgment.
More consistent support.
Structured workflows help teams find and use what they already know, with clear steps and human review where it matters.
FEATURED INITIATIVE · IN ACTIVE DEVELOPMENT
The Agentic Union System
The Agentic Union System is a long-term initiative for an AI-supported environment where workers and representatives can get reliable answers about collective agreements, policies, procedures, rights, and common workplace issues.
The initiative combines organizational knowledge, AI assistants, specialized agents, and structured workflows. It is informed by direct experience in union representation and workplace facilitation, with human expertise and judgment at its centre.
Organizational knowledge
Assistants + agents
Human judgment
The initiative is in active development. Focused pilots will inform its development; it is not a finished or deployed product.
THE PILOT
One organization. A focused pilot. Real questions.
Through the Collective Agreement AI Assistant Pilot, Stancast AI partners with one union local, labour organization, or workplace-focused organization to build a focused assistant around its collective agreement or core policies.
01 Prepare and organize the documents.
02 Build the assistant around your organization’s material.
03 Test real questions with the people who would use it.
04 Find weak answers and gaps. Refine through feedback.
05 Document findings and lessons for wider rollout.
This is a collaborative pilot. It does not provide legal advice, automate grievance handling, or replace professional judgment.
WHY STANCAST AI
Workplace experience meets sustained AI practice.
Many AI providers understand the technology but not the workplace. Many labour professionals understand the workplace but not the technology. Stancast AI operates at that intersection: representation, facilitation, institutional knowledge, and hands-on AI practice.
Stancast AI takes a worker-centred approach to introducing AI: begin with people’s needs, preserve human judgment, and make reliable knowledge easier to access and use.
ABOUT THE FOUNDER
Experience grounded in the workplace.
Stancast AI was founded by Stan, whose experience includes 26 years of public service, 11 years of union representation, and 7 years of workplace facilitation. That background provides a direct understanding of complex agreements, limited capacity, and the importance of accessible institutional knowledge.
Stan has been hands-on with AI and SaaS since October 2021 through sustained experimentation, training, and applied use, well before the recent generative AI wave.
Stancast AI brings that workplace experience and sustained AI practice together to design practical knowledge systems and workflows that support people’s expertise.
START A CONVERSATION
Explore what this could look like in your organization.
Where teams are overloaded, knowledge is hard to access, or too much depends on a few experienced people, Stancast AI can scope a focused pilot.
© 2026 Stancast AI. Human expertise, supported by AI.