Trusted AI tools for institutional knowledge work

FAQsy develops focused AI assistants for institutions that need accurate answers from websites, policies, course materials, and internal knowledge.

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Some of the amazing companies we have worked with

Focus

FAQsy is a small AI lab building practical tools for education, operations, and other knowledge-heavy institutions.

Each build starts with a clear audience, a trusted knowledge source, and a workflow where better answers would save time or improve support.

Build AI assistants around real institutional workflows, not generic chat.
Connect public websites, course outlines, policies, FAQs, and internal documents.
Design answers that can point back to trusted source material.
Help faculty, staff, and support teams reduce repeated knowledge work.
Turn prototypes into pilot-ready tools that can be tested with real users.

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Sources

Course materials

Syllabi, assignment briefs, readings, rubrics, and weekly expectations.

Sources

Policies

Late work, grading, academic integrity, appeals, and course procedures.

Sources

Student services

Support pages, forms, contacts, eligibility rules, and next steps.

Sources

Institutional websites

Public pages that students, faculty, and staff already rely on.

Sources

Internal documents

Guides, handbooks, procedures, and knowledge that teams use every day.

Sources

Program guides

Requirements, pathways, timelines, contacts, and academic expectations.

Sources

Course materials

Syllabi, assignment briefs, readings, rubrics, and weekly expectations.

Sources

Policies

Late work, grading, academic integrity, appeals, and course procedures.

Sources

Student services

Support pages, forms, contacts, eligibility rules, and next steps.

Sources

Institutional websites

Public pages that students, faculty, and staff already rely on.

Sources

Internal documents

Guides, handbooks, procedures, and knowledge that teams use every day.

Sources

Program guides

Requirements, pathways, timelines, contacts, and academic expectations.

Sources

Course materials

Syllabi, assignment briefs, readings, rubrics, and weekly expectations.

Sources

Policies

Late work, grading, academic integrity, appeals, and course procedures.

Sources

Student services

Support pages, forms, contacts, eligibility rules, and next steps.

Sources

Institutional websites

Public pages that students, faculty, and staff already rely on.

Sources

Internal documents

Guides, handbooks, procedures, and knowledge that teams use every day.

Sources

Program guides

Requirements, pathways, timelines, contacts, and academic expectations.

Outcomes

Grounded answers

Responses tied back to trusted source material instead of generic output.

Outcomes

Faculty review

Answers designed for oversight, editing, and human judgment.

Outcomes

Fewer repeated questions

Common questions become easier to answer with consistent context.

Outcomes

Knowledge gaps

Repeated questions reveal where documents and policies need clarification.

Outcomes

Pilot-ready workflows

Small deployments that test real materials, users, and review needs.

Outcomes

Grounded answers

Responses tied back to trusted source material instead of generic output.

Outcomes

Faculty review

Answers designed for oversight, editing, and human judgment.

Outcomes

Fewer repeated questions

Common questions become easier to answer with consistent context.

Outcomes

Knowledge gaps

Repeated questions reveal where documents and policies need clarification.

Outcomes

Pilot-ready workflows

Small deployments that test real materials, users, and review needs.

Outcomes

Grounded answers

Responses tied back to trusted source material instead of generic output.

Outcomes

Faculty review

Answers designed for oversight, editing, and human judgment.

Outcomes

Fewer repeated questions

Common questions become easier to answer with consistent context.

Outcomes

Knowledge gaps

Repeated questions reveal where documents and policies need clarification.

Outcomes

Pilot-ready workflows

Small deployments that test real materials, users, and review needs.

Builds

FAQsy builds in development

Explore builds

Student Website Assistant

Student-facing chatbot for college website answers

Faculty Assistant

Course support assistant for faculty and teaching teams

Knowledge Desk

Internal knowledge assistant for policies and procedures

FAQsy

Why FAQsy builds focused tools

Institutions do not need one AI tool that answers everything. They need practical assistants that fit the work people already do.

Built around real jobs: Each assistant starts with a specific institutional task: student support, faculty help, onboarding, policy lookup, or internal knowledge work.
Grounded in sources: Builds use websites, documents, policies, and course materials as the source of truth instead of relying on open-ended AI responses.
Pilot-friendly: The goal is to start with a focused build that can be tested, reviewed, and improved before expanding across an institution.
Made for knowledge workers: FAQsy supports the people who already answer questions, interpret policy, teach courses, and maintain institutional knowledge.
Research-informed: The work combines application building with practical research into answer quality, evaluation, and trustworthy AI adoption.
Human reviewed: The best systems keep people responsible for what knowledge is approved, how answers are evaluated, and when content changes.

Product direction

Three builds, one shared problem.

FAQsy is developing a family of trusted AI assistants for institutions where knowledge workers spend too much time finding and explaining the same information.