Clear decision making for navigating AI at work.
A self-guided, fully editable AI decision system that helps teams understand real readiness, establish guardrails, evaluate use cases before investing, and make defensible choices about what to build, pause, or stop.
Self-guided and fully editable
FairSight is for you if…
You’re expected to “set direction on AI,” but conversations feel high-stakes and unclear.
You’re stuck analyzing with constantly moving goal posts.
You feel pressure to “do something with AI” without clarity on why, for whom, or what success looks like.
You see pilots start and stall… meanwhile nothing is connected and no one knows what’s worth scaling.
Ethics, data quality, workflows, and culture often come up late, usually when something already feels off.
FairSight is
A practical system for making AI decisions
Built around people, process, and risk
Designed to be reused as conditions change
A set of tools combining clear roles, explicit red lines, use-case evaluation, and ongoing review
Lightweight enough to put in motion this quarter,
but serious enough to hold up with leadership
What FairSight isn’t
A compliance framework
A policy-in-a-box
A one-time maturity quiz
A substitute for professional judgment
“What stood out was how usable it was for nontechnical folks. No one felt lost. We could actually do it and decide together.”
How FairSight works
FairSight is a system of four connected, self-guided tools, each designed to answer a specific question at a specific moment.
0. Ground into the system
FairSight README
Read this guide fully before using any FairSight materials. It explains scope, sequence, and non-negotiables.
1. Assess readiness
AI Maturity Scorecard.xlsx
Identify gaps and non-negotiable blockers before any AI use begins.
2. Set guardrails
Team AI Use Guidelines.xlsx
Establish norms, red lines, and escalation paths for AI use.
3. Gate use cases
Project Readiness Checklist.xlsx
Approve, pause, or stop AI use cases before building or deploying.
4. Plan and execute
Guided Planning Sheet.xlsx
Turn gaps into owned actions and sequence the work.
FairSight is designed to be used in this order. Each tool builds on the last.
Together, they create a repeatable practice for making clearer, steadier AI decisions with the internal knowledge only you have.
“We didn’t need consultants in the room to get value from this system. It gave us enough structure to move forward confidently and responsibly.”
Who FairSight is for
FairSight is built for teams who know AI matters, feel the pressure to act, and want a clear path forward without big-ticket consulting or heavy frameworks.
It’s especially useful for:
Project & Program Managers
Design & Research teams
Operations & Delivery
HR & People teams
Founders and organizational leaders
Nonprofits, education, and mission-driven organizations
Cross-functional working groups tasked with “figuring out AI”
Who it’s not for
FairSight is not a fit if you’re looking for:
A rubber stamp to move faster
Automation shortcuts without accountability
A compliance checklist to hand off responsibility
FairSight works best where judgment, care, and clarity are valued.
“This was the first thing we used that actually slowed us down in a good way. It helped us realize we weren’t as ready as we thought, and we made better calls because of it.”
What you get with FairSight
Four self-guided tools, delivered as editable files
Excel, Google Sheets, and Notion-friendly formats
Clear instructions embedded in each asset
Designed for solo use or facilitated group sessions
You can use FairSight once, or make it part of how your organization routinely decides what to do with AI.
About Alma Major
FairSight is created by Alma Major, a design research and strategy practice that helps organizations navigate emerging technologies without losing sight of what matters most: people.
With experience across UX research, design strategy, and systems thinking, Alma Major supports teams in turning complex questions about AI into clear, grounded decisions, frameworks, and roadmaps.