June
Executive infrastructure for growing organizations

IT WAS ALWAYS THERE.
NOBODY LOOKED.

Most leaders don't know what it's costing them until someone shows them the evidence. June diagnoses where information and follow-through break down in your organization, then builds the systems that fix it, for you personally, and for the team around you.

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the relationship nobody was watching the decision nobody followed up on the question you didn't know to ask the knowledge that lives in one head the ai use nobody's governing
The cost of not knowing

Every week, something important slips. You just don't find out until later.

"The hardest part wasn't the workload. It was the quiet anxiety that I was always a little behind on something that mattered, and I wouldn't know what until it was too late."

Most leaders who've outgrown individual-led improvisation aren't drowning in email. They're drowning in not knowing what to do with it. Which signals matter. Which relationships are cooling. Which decision from four weeks ago never actually got followed up on. And underneath it, often, an AI-adoption problem nobody's steering: some of the team is quietly avoiding it, some is quietly overusing it, and no one's watching either.

That's not a time problem. That's an intelligence problem. And June solves it.

01

The relationship you didn't know was cooling

A key contact's replies got shorter. A partner's questions stopped. Three weeks later the relationship is cold, not from neglect, but from no one watching for the pattern.

02

The decision nobody followed up on

A commitment made in a meeting a month ago. No owner, no deadline, no record it happened at all, until it becomes a problem.

03

The knowledge that only lives in one head

Policies, procedures, "how we handle this," none of it written down. If that person is out sick, the whole team is stuck.

04

The AI use nobody's governing

Half the team is quietly avoiding AI, afraid of what it means for their role. The other half is already using it, with no policy and no guardrails. Both are the same risk, from opposite directions.

What June builds

One ladder. Every step earns the next.

Open any step to see exactly what it includes. Every engagement starts small and only goes deeper if it's actually the right fit. Pricing is discussed on your discovery call, not listed here.

Connect your Google Workspace calendar and email, read-only. June analyzes 90 days of your own activity and surfaces evidence-based signals, never conclusions, about where your time, information, and follow-through actually break down.

  • Executive Capacity: where your meeting time is actually going, and the trend
  • Information Flow: response-time patterns and who's asking you the same thing repeatedly
  • Signals Worth a Closer Look: specific evidence, paired with a hedged hypothesis
  • Requires Google Workspace (Gmail + Calendar). On another platform? The Audit is the right starting point instead.

No data connection required. Our team interviews you, and, where useful, a few members of your team, to map where decisions get lost, what keeps landing back on your desk, and what should be redesigned, automated, or left alone. Works regardless of where the actual bottleneck sits in your org.

  • Works with any tools you already use, no platform requirement
  • Validates and deepens whatever a Snapshot already found, or starts fresh
  • A focused engagement, not an open-ended consulting relationship
  • Ends with a prioritized, plain-language plan for what to build first

A half-day workshop, with optional team breakouts, giving your organization the framework and tools to adopt Claude deliberately, plus plain-language guidance on data privacy and usage guardrails. Doesn't require a Snapshot or Audit first, and doesn't require one to follow.

  • For the org where the visible problem is ungoverned AI use, not yet a diagnosed bottleneck
  • Addresses both camps at once: the team avoiding AI out of job-security fear, and the team already using it with no guardrails
  • Guidance on drawing usage lines that respect the people doing the work, not just restrict them
  • Stands on its own; can lead into a Build, or simply end here

June implements the systems that actually close the gaps: workflows, dashboards, automations, delegation architecture: whatever the diagnosis actually calls for, not a generic package.

  • Scoped entirely around what your Audit or Snapshot found, never a one-size-fits-all rollout
  • May include human systems, AI-assisted workflows, or both
  • Sized for organizations with more complexity: multiple stakeholders, existing tool stacks

Lighter discovery, a simple Claude Team setup instead of enterprise administration, a one-page acceptable-use policy instead of a governance binder, and, for most clients, an internal Knowledge Base chatbot as the flagship deliverable.

  • Built for the organization too small to justify a large consultancy, and too far along for a generic template
  • Knowledge Base chatbot: a password-protected internal tool that answers from what's actually documented, never guessing
  • 1–2 additional targeted workflow builds where discovery surfaces an obvious one
  • Includes a short training session so the whole team adopts it, not just the most curious person

Systems decay the moment context changes: new hires, new processes, evolving tools. Embedded is the ongoing partnership that keeps what was built actually working.

  • A monthly retainer covering a set number of hours, billed hourly beyond that, not a flat, unlimited-access fee
  • For any Build client who wants continuity rather than a one-time handoff
  • Scope is whatever comes up: new hires need onboarding, a workflow breaks, a new tool needs integrating
What a snapshot actually shows

This is what was waiting in one leader's own data.

A sample report, illustrative only, not a real client. This is the shape of what your own Snapshot would surface.

Meeting load trend
+31%
vs. first half of window
Recurring topics
3
across separate threads
Slow responses
62%
took 48+ hours
Signals surfaced
4
each with cited evidence
Signal worth a closer look

The same underlying request appeared in 5 separate email threads over 60 days, from 3 different people. Hypothesis: this may indicate the issue doesn't have a single accountable owner.

What's in the report
01Executive Summary: what the data covers. No findings yet.
02Executive Capacity: meeting load, trend, protected time.
03Information Flow: response patterns, recurring topics.
04Signals Worth a Closer Look: evidence, then a hedged hypothesis. Never a conclusion.
05What This Doesn't Tell Us: the diagnostic's real limits, stated plainly.
06If You Want to Go Deeper: what the Audit would add.
90
Days of your own data analyzed, nothing from anyone else's
6
Report sections, each grounded in evidence you can check yourself
Zero
Conclusions stated as fact: signals are always evidence, then a hypothesis
One
Data source: your own calendar and inbox, read-only, never stored
Getting started

Three doors in. One ladder from there.

Whether you connect your data, just want to talk first, or need to get AI adoption under control before anything else, every path leads to the same place.

Step 01

Discovery call

30 minutes, no pitch. We figure out together whether a Snapshot, an Audit, or an Enterprise Adoption workshop is the right starting point for you.

Step 02

Diagnose or enable

A self-serve diagnostic, a focused interview, or a half-day workshop, whichever fits how you work and what's actually visible right now.

Step 03

The Build (if it's next)

June implements the highest-priority fixes the diagnosis actually found, sized to your organization, never a generic package.

Step 04

Embedded (optional)

An ongoing retainer, capped hours, to keep the system current as your team and tools change.

Pricing Every engagement is scoped to your organization's size and starting point. Numbers are discussed on the discovery call, not listed here, because the right price depends on what actually fits.
How June actually works

The system is only as good as the judgment behind it.

June is not a chatbot you manage yourself, and it's not a black box. Every engagement pairs AI-driven analysis with a human check on what actually matters.

01

Evidence before hypothesis

Every signal in a Snapshot cites a specific number or pattern from your own data, then proposes a hedged hypothesis, never a flat conclusion. If the data's thin, you get fewer signals, not stretched ones.

02

A human checkpoint

Our team personally reviews the Signals section of every Snapshot before it reaches you. AI does the pattern-finding; a person decides what's actually worth your attention.

03

Honest about limits

Every report includes what it can't tell you: no visibility beyond your calendar and inbox, no input from anyone else on your team. That's the bridge to the Audit, not something to hide.

04

Built by someone who's lived it

A decade inside executive support at nonprofit and mission-driven organizations, not studied from the outside. June is the system built from that experience.

"We help organizations build a shared knowledge base so it's not all on one person."

That's June's mission, and its discipline follows from it: a diagnostic tool that overclaims is easy to build and easy to distrust. June is built to be believed, which means it has to be willing to say less than it could.

The human judgment in the middle is what makes the system trustworthy.

Built from the inside

June wasn't designed from the outside. It was built from inside the room.

June's founder spent a decade as the right hand of executive leaders: managing the inbox, prepping the board meetings, tracking key relationships, drafting the communications, and feeling exactly the quiet anxiety this page describes.

Not studying it. Not consulting on it. Living it. Across nonprofit organizations, at the leadership level, for ten years.

June exists because that pattern, someone becoming the organization's connective tissue by default, not by design, shouldn't be rare or expensive to fix. The leader usually feels it first. Who's actually holding the silo varies team to team, and June is built to find out which, not assume.

We build June around real engagements, not theory: a diagnostic that stays honest about its limits, and an implementation practice that never sells a system it can't actually stand behind.

Diagnosis before anything gets built. June never proposes a system without first showing the evidence for why it's needed: through a Snapshot, an Audit, or both.
Sized for the client bigger firms don't want. Enterprise AI consultancies need deal sizes and IT departments a 15–75 person organization doesn't have. June exists specifically in that gap.
A system, not a headcount. June's revenue doesn't scale by adding staffed hours; it scales through a repeatable diagnostic and systems that keep working after the engagement ends.
Three ways in

Connect your data, talk it through, or get ahead of the risk.

All three lead to the same ladder: a Build, then Embedded if you want it. Pricing is discussed on your discovery call, because the right engagement depends on your organization's size and starting point.

Limited availability June takes on a small number of founding clients at a time, to keep every engagement honest and well-supported.
Tech-led door

Snapshot

For the technically comfortable leader on Google Workspace who'd rather see the evidence first.

  • 90 days of your own calendar and email, read-only
  • Evidence-based signals, never conclusions
  • A clear next step if you want to go deeper
Start with a Snapshot
Service-led door

Audit

For leaders who'd rather talk than connect their inbox, or whose org's bottleneck isn't the leader.

  • No data connection required, any tools you use
  • Direct conversation with our team
  • Ends with a prioritized plan for what to build first
Book a discovery call
Enable-led door

Enterprise Adoption

For the org where ungoverned AI use is the visible problem, not yet a diagnosed bottleneck.

  • A half-day workshop, optional team breakouts
  • Guardrails and data-privacy guidance included
  • Stands alone, or leads into a Build
Book the workshop

Not sure which door fits? The discovery call will make it clear.

Questions

Everything you're probably wondering.

If your question isn't here, the discovery call is the right place for it.

Pricing depends on your organization's size and which door you start through: Snapshot, Audit, Enterprise Adoption, Build, or Embedded. It's discussed on the discovery call, because a number without that context wouldn't mean much on its own. The call is 30 minutes and there's no obligation.
Both, deliberately. AI does the pattern-finding, reading 90 days of data, surfacing signals, but our team personally reviews the Signals section of every Snapshot before it reaches you, and leads every Audit, workshop, and Build directly. The judgment stays human; the heavy lifting doesn't have to.
Only for a Snapshot, and only Gmail and Calendar: that's what the diagnostic pipeline is built on. If you'd rather not connect anything, or you're not on Google Workspace, the Audit or the Enterprise Adoption workshop are both good starting points instead; neither requires a data connection.
Yes, through the Audit or Enterprise Adoption rather than the Snapshot. Once you move into a Build, June works with whatever tools your organization already has; the Snapshot's Google Workspace requirement doesn't carry through to implementation.
A half-day, standalone session for teams already encountering AI, unevenly. Some people are quietly avoiding it out of job-security fear; others are already using it with no policy and no data-privacy guardrails. The workshop gives you a shared framework, and, for larger teams, optional breakouts, so adoption is deliberate rather than accidental. It doesn't require a Snapshot or Audit first, and doesn't require one to follow.
A VA executes tasks you hand them. June diagnoses why those tasks keep landing on you in the first place, then builds the system that fixes it: sometimes that includes people, sometimes automation, sometimes both. The goal is fewer things needing you personally, not just faster handling of the things that do.
Discovery call, then a Snapshot, an Audit, or a workshop depending on fit, then, if there's a diagnosis calling for it, a Build sized to your organization. Embedded is optional after that, for keeping the system current. June doesn't sell a Build without a diagnosis behind it, and the workshop is free to stand entirely on its own.
Leaders of growing organizations, roughly 15 to 75 staff, who've outgrown individual-led improvisation but are too small for an enterprise operations hire or an enterprise AI consultancy. The leader is usually the one who feels the cost first, but the actual bottleneck can be anyone on the team, and June diagnoses that rather than assuming it. Nonprofits and small businesses under about 50 staff have a dedicated, lighter-weight entry point across all three doors.
Snapshot's access is read-only; it can't send email, delete anything, or modify your calendar, and nothing is stored beyond generating your report. You can revoke access at any time from your Google account settings.
Ready when you are

SUNDAY EVENING
should feel like rest.

The relationship nobody's watching. The decision that never got a follow-up. The knowledge that only lives in one person's head. The AI use nobody's steering. June shows you the evidence first, then builds what actually fixes it.

Book a discovery call Send us a note

Discovery calls are 30 minutes. No pitch. Just a conversation about whether June, and which door, is the right fit.