A partnership case study

You're a partner at a venture firm. One of your founders just emailed: "I think we need a Head of Operations."

You probably already know what you're going to write back.

But there's a different option — the one Pear VC has been running across 9 portfolio companies. Connect the founder with Of All Trades.

Here's what happens next, in the form of an interactive case study.

Scroll to begin

The Fork

TWO PATHS
A VC PARTNER
CAN TAKE.

The founder emailed. You have to respond. Here's how each path actually plays out over the next eight weeks.

Choose the path to see what happens next:

Week 1
The JD is still
being rewritten.
The founder describes what they need. Three people have opinions. The job description goes through four drafts before anyone posts it. The role isn't wrong, exactly. It's just unclear.
Week 4
First candidates
ghost.
A recruiter is engaged for $25K. Candidates come in, interviews happen, offers get close — and then nothing. The founder goes back to the process. The role gets reposted. The clock keeps moving.
Week 8+
Still no hire.
Still no momentum.
Two months in. The work that needed doing in week one is still undone. The founder is more stretched than before. The hire that was supposed to solve the problem hasn't started yet.
EIGHT WEEKS. ZERO MOMENTUM.
Day 1
The intro lands.
A Pear partner makes the intro. Britt replies within 24 hours. The first meeting is on the calendar.
Days 3-5
The brain dump
happens.
A structured session with the founder. Every fire, every stalled project, every thing-they've-been-meaning-to-do gets surfaced. The top five priorities are locked in.
Week 2
The operator
is in.
Slack access, calendar access, context. Not a consultant parachuting in — a colleague, shoulder-to-shoulder with the team from day one.
Week 3
The bottlenecks
clear.
Workflows documented. Tools consolidated. The meetings that shouldn't exist stop happening. The founder gets hours back in their week.
Month 2+
The staircase
starts climbing.
The company moves faster than it was moving before. The hire decision can wait, or it happens with clarity instead of panic.
MOMENTUM FROM DAY ONE.
"And this has played out 9 times across the Pear portfolio."
See the pattern below
Pear chose Path B. Nine times.

What follows is the pattern across their portfolio — what happened when a founder got connected with an Of All Trades operator instead of a recruiter.

Pattern Recognition

Pear has run this play 9 times. The outcomes aren't identical, but the shape of what happens is. Here's the pattern across the portfolio.

NINE TEAMS.
ONE PATTERN.

Across seed and Series A companies in the Pear portfolio, the same sequence played out every time.

STALLED
DEPLOYED
01 / 09
Seed · 7 people · Adtech

Scaling ad ops without burning out the founder.

Orchestration layer live. 60% time reclaimed.

OVERDUE
LIVE
02 / 09
Pre-Seed · 5 people · Health Tech

Launch on hold. SOC 2 in limbo.

Compliance track running. Launch back on.

STUCK
MOMENTUM
03 / 09
Seed · 9 people · Dev Tools

Growth flatlining without GTM muscle.

GTM ops rebuilt. Pipeline moving.

STALLED
DEPLOYED
04 / 09
Series A · 18 people · FinTech

Ops team drowning in manual reconciliation.

Workflows automated. Ops back above water.

OVERDUE
LIVE
05 / 09
Seed · 6 people · AI Infrastructure

Founders doing the work, not leading it.

Senior operator embedded. Founders back to building.

STUCK
MOMENTUM
06 / 09
Pre-Seed · 4 people · Climate Tech

Pilot launching without a launch plan.

Go-to-market shipped. First customers onboarded.

STALLED
DEPLOYED
07 / 09
Seed · 8 people · Consumer

Customer onboarding duct-taped together.

Onboarding flow mapped. NPS rising.

OVERDUE
LIVE
08 / 09
Series A · 30 people · SaaS

Revenue growing, processes buckling.

Ops rebuilt for scale. Revenue growth preserved.

STUCK
MOMENTUM
09 / 09
Seed · 10 people · Robotics

Engineering-heavy team, no ops leadership.

Orchestration layer live. Engineering stays on tools.

NINE TIMES.

9 teams engaged. 65% converted to ongoing engagements. 55% extended beyond the first.

Zooming In

Stats are abstract. So here's one company in particular — an adtech startup that was growing fast and burning out faster. Their operator didn't hire anyone. They built a machine.

USING AI TO SCALE WORK.
NOT HEADCOUNT.

A fast-growing adtech startup. Rising demand. Fixed headcount. Mounting burnout.

Watch what changes.

Work streams
Client onboarding
Sales proposals
Compliance audits
Campaign QA
Ad ops reports
FOUNDER
Everything routes here.
OPERATOR
The routing layer.
AI Workflows
Operator judgment
Founder (strategic only)
Outcomes
Founder burns out
Launch slips
Compliance stalls
60% less time-on-task
6.5 hrs/week reclaimed
Founder back on strategy
Five workstreams. All roads lead to one person.
Act 1 — The Bottleneck

Five workstreams. All roads lead to one person.

Every decision. Every approval. Every unblock. The founder.

This is the bottleneck in every Series A.

Act 2 — The Operator

An operator joins. Not as headcount. As the routing layer.

They didn't hire. They built an operating model that assumed no new headcount.

60% Reduction in
time-on-task
6.5 Hours per week
reclaimed for founders

"Our generalist operator is fantastic, and has become an essential member of our team. Usually when I describe him to other people I usually say he's thinking for me at this point."

Founder — Adtech Startup

THREE MOVES
THAT CHANGED
EVERYTHING.

01 — Orchestration

BUILT AN ORCHESTRATION LAYER

Rather than designing an org chart the company couldn't hire into, the oAT operator created an operating model that assumed no new headcount. They set up an orchestration layer that treated scaling as a workflow problem — not a staffing problem.

02 — AI Workflows

TURNED WORK INTO AN AI WORKBOOK

The operator took recurring production work and broke it into discrete skills, steps, and decision points that could be documented and repeated. That structure made tasks AI-executable and easier for the existing team to supervise — turning messy knowledge execution into a consistent quality system.

03 — Control System

RAN THE HUMAN-IN-THE-LOOP CONTROL

With workflows in place, the operator became the control layer — routing work, maintaining context, and ensuring quality. They handled the judgment calls AI shouldn't make, reviewed outputs, managed client relationships, and used feedback from real delivery to improve the system continuously.

A Second Data Point

The same model worked in a completely different domain. Here's what happened when a fast-growing health tech startup — one already working with three of the top 10 pharmas — brought in a single oAT operator instead of building a team.

ONE OPERATOR.
THREE MONTHS.
FIVE FUNCTIONS.

A fast-growing health tech startup working with three of the top 10 pharmas. Instead of hiring five specialists, one oAT operator covered cross-functional execution typically spread across multiple specialized hires.

"We launched eight months ago and we're already working with three of the top 10 pharmas, in no small part thanks to Sarah, our oAT generalist. Early on she effectively handled all of our stock-to-compliance which was critical, and also set up all our onboarding and HubSpot flow which has given us a lot more confidence in the sales cycle. Everything feels very clear and we had a lot of messiness before. Without Sarah we would not have been able to achieve this level of scale as quickly."

Founder — HealthTech Startup

What one operator covered

01
Ops Organization & Enablement
02
Knowledge & Workflow Capture
03
Go To Market
04
Customer Success Discovery
05
Compliance & Security

Value over time

MONTH 1 Stabilisation — gaps identified, cadence set
MONTH 2 Acceleration — AI-first systems live
MONTH 3 Activation — founder leverage compounding
The Bigger Picture

Two case studies. Two different sectors. Same underlying logic. Here are the six reasons VCs at Pear keep using this play — and why it compounds across a portfolio rather than just solving one company's problem at a time.

THE MULTIPLIER
EFFECT.

Six reasons this model works for funds that think portfolio-wide.

01
Capital Efficiency
Cost-efficient & cap-table-light execution
Instead of hiring Ops, GTM, Customer Success, and Sales Support as separate full-time roles, oAT operators cover multiple functions — shifting as priorities change as the company learns.
02
Founder Leverage
Founder leverage when it matters most
Our operators expand the founder's capacity during the most chaotic stages of growth, allowing them to stay focused on product vision and momentum while we own the operational load.
03
Culture
Scaling with culture intact
As headcount grows, we help define, preserve, and scale the company's culture — not patch it retroactively. Operators embed with the team as naturally as a full-time hire.
04
AI-First
AI-first by design
We embed AI into every workflow from day one — accelerating execution, reducing operational drag, and giving founders leverage that compounds long before they make their first specialized hire.
05
Fit
Trusted like internal. Flexible like a partner.
Unlike freelancers or traditional consultants, oAT operators integrate directly into the founder's workflow. They provide consistent, high-trust support — exactly when founders need it.
06
Clarity
Clarity through the unknown
During periods of uncertainty, our operators help founders identify the roles, systems, and priorities early-stage companies truly need — so they make smarter long-term hiring decisions.
Next Step

If you have a portfolio company stalling on an ops hire — or a founder who keeps saying "we need help but we don't know exactly what yet" — that's the exact window this model was built for.

DEPLOY CAPITAL
EFFICIENTLY.

Embed operators that move companies forward. VCs who partner with oAT give their portfolio experienced operational leaders — exactly when and where they're needed, without overhiring or locking in premature org structures.

The result: smarter capital deployment, more resilient teams, and companies that get further faster — with less organizational drag.

TALK TO BRITT
This isn't about
filling roles
or adding headcount.

It's about embedding
experienced,
founder-aligned operators
who build shoulder
to shoulder —
adapting in real time
as the company evolves.