From rollout to a useful practice
The value of a new practice depends on what happens after kickoff. Baryons is built around short, relevant conversations, remembered context, and a supported team start.
Private reflection. Relevant context. Human judgment.
Intelligence that evolves with you.
Why this matters now
Access is only the beginning of adoption.
30%
used AI frequently at work
In Q2 2026, 30% of U.S. employees reported using AI at work a few times a week or more.
Gallup ยท July 2026 / Q2 data
78% vs. 44%
frequent use with active manager support
In AI-adopting organizations, 78% of employees who strongly agreed their manager supported AI use were frequent users, versus 44% of other employees.
Gallup ยท updated November 2026
Leadership question
What gives people a reason, and the support, to come back after kickoff?
Research context & methodology
The 30% figure covers U.S. employees overall. The manager-support association concerns employees in AI-adopting organizations; frequent use means a few times a week or more. These findings describe AI adoption broadly, not Baryons retention or the causal effect of a team rollout.
The problem
A successful kickoff is not sustained adoption.
Busy people return to what helps them with the work in front of them. A new tool needs a clear purpose, trusted boundaries, and support beyond the invitation email.
01
The invitation is not the value.
Access alone does not explain which real question someone should bring first.
02
Everyone starts alone.
Without a shared purpose, people must invent their own reason to come back.
03
Launch metrics hide the real question.
Sign-ups say little about whether the practice is useful weeks later.
A shared purpose
A relevant first conversation
A reason to return
What Baryons is ยท How it works
Start together. Keep the conversations individual.
Baryons is a private AI thinking partner grounded in relevant personal context and shared organizational priorities.
01
Set up a focused team start.
Work with the Baryons team to agree on purpose, participants, organizational context, and privacy expectations.
02
Begin with real work.
Each person brings their own question to a private conversation by phone or web.
03
Review usefulness over time.
Remembered context supports follow-up. Review participation and feedback before deciding how to expand.
Persistent memory
Each conversation can build on the last. Relevant decisions, goals, and patterns return as context, so the next question starts somewhere useful.
Free discussion paper ยท Available to everyone
AI is accelerating work. Is shared understanding keeping up? Explore five challenges leaders face, the evidence behind each, and the questions worth bringing to the leadership table.
Alignment as the pace of change increases
Manager capacity and AI adoption
Evidence to inform the next conversation
Read the paper
Free to read. Useful to share.
The Understanding Engine
A conversation that starts somewhere useful.
Each person brings their own question to a private conversation by phone or web.
Personalized context
Advanced memory
Shared priorities
Patterns to explore
Expanded perspectives
Questions that challenge
Trust makes the practice possible
Private reflection is personal. Team Resonance provides aggregate themes for leadership review, rather than individual conversations. Discuss privacy and reporting arrangements before a team rollout.
Leaders participate alongside their teams.
Everyone has a private space to think.
Organizational context. Simple setup.
Begin with approved organizational context and a phone list. Access to email, messages, meetings, or an HRIS is not required.
Privacy compliance.
Privacy practices address GDPR, CCPA, and other applicable requirements.
The privacy mesh
1
Sorted at the source
Every item in a weekly reflection is sorted as work or private before anything is summarized for a team.
2
Private details held back
Health, family, finances, and other private details are taken out before the team summary is written. The model writing it never receives them.
3
Names removed
What reaches the team summary is described as a shared theme, without names or details that point to one person.
Leaders see what is driving and draining energy across the team, with no name attached.
Team theme
Private detail
Themes, never names.
Team Resonance is aggregate and anonymized. Insight appears only when privacy thresholds are met.
No audio. No transcripts. No names.
Employers never receive call audio, transcripts, or identifying individual statements.
Enterprise-grade security
SOC 2 Type I compliant, with Type II estimated for Q1 2027. Encryption, vaults, and supporting policies.
Why it matters
Evaluate the practice, not just the purchase.
A useful pilot should answer three questions. Agree on review points and expansion criteria before the rollout begins.
Book a demo
Return
Whether people return voluntarily.
Relevance
Whether the conversations feel relevant.
Privacy
Whether people understand the privacy arrangements.
A supported start
Baryons works alongside leaders to establish shared priorities and put the insights into practice.
01
Align leadership first
Every rollout starts with the Leadership Enablement Lab. Over 90 days, your leaders align on the outcomes that matter most and see how strategy is landing, with written findings at Day 90.
90-day Leadership Alignment Lab
02
Launch your first cohort
A group of 20โ30 people starts a 4-week Habit Sprint. Weekly missions spark structure conversations with their Baryons, and Team Resonance Insights show leaders where to act.
Team Resonance Insights
03
Expand with evidence
The practices worth scaling from your first cohorts shape what comes next. New groups launch every few weeks, with ongoing touchpoints that keep momentum going well past day 30.
Cohort-by-cohort rollout
Clarity from the start
Does a team rollout guarantee continued use?
No. Baryons is designed for a supported team start, but continued use depends on the experience and context. Evaluate participation and usefulness in your own rollout.
What does Baryons replace?
Explore Baryons
Plan for the week after the launch.
Discuss the experience, privacy, and what a supported start would involve.