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Case study · 0→1 and scale

Maximl: taking industrial workflow automation from zero to $500K ARR

Maximl builds software that guides frontline industrial teams through safe, auditable work. I was on the founding leadership team as a product manager and launched its cloud workflow-automation platform.

Role
Product manager, founding leadership team
Company
Maximl Labs, seed to Series B
Domain
Industrial workflow automation, frontline safety
Team
3 PMs, 4 designers, 4 QA engineers
$500K
ARR in year one
~50K
users in year one
25%
faster time-to-market

The problem: critical work runs on paper

Industrial operations in sectors such as oil and gas, power, mining and chemicals depend on checklists, standard operating procedures and audits to keep people safe. Much of that still lived on paper and in disconnected systems, which made standards inconsistent, compliance hard to track and the state of the work hard to see.

The people carrying out that work were largely frontline, blue-collar workers. Safety and productivity both depended on the procedure being followed correctly, every time.

What we built

A cloud platform of rule-based, smart workflows. It turns procedures, checklists and audits into guided digital workflows that frontline workers follow on the job, while the office teams coordinating with them see the state of the work as it happens. It was built for industrial workplaces that want a safer environment without losing productivity.

A procedure, SOP or checklist

Often on paper

encoded as rules

A guided digital workflow

Frontline workers follow it step by step on the job

as work happens

A rule is broken

Instant alert

Steps complete

Visible to office teams

The safe way to do the job is encoded once as rules, followed step by step on the floor, and visible to the office as the work happens.

How it scaled

In its first year the platform reached $500K in ARR and about 50,000 users, and time-to-market came down 25%.

Encode the safe way to do the job as rules

Instead of asking workers to remember procedure, the workflows carry it. Each step of a job is defined once, enforced the same way every time, and checked as it happens.

Design for the person on the floor, not the person in the office

The users who mattered most were frontline, blue-collar workers doing physical jobs in demanding environments. If the workflow slowed them down, it would be skipped, so it had to fit the work rather than interrupt it.

Open distribution through a partner

Selling into industrial companies one at a time is slow. Building the first partner channel, with DuPont Sustainable Solutions across LATAM and Europe, gave the product a route into customers that already trusted the partner.

Build the team and the operating rhythm alongside the product

I hired and managed three product managers, four designers and four QA engineers, set OKRs, and introduced Agile and scrum, so the product could keep shipping as the company grew from seed toward Series B.

What carried forward

Rule-based workflows that guide people through the right next step show up again in the entitlement-aware recommendations at Zuora. Partner-led distribution shows up in the Okta, Microsoft and SailPoint integrations around OneID. And building a team while shipping is the same work I later did mentoring product managers at scale.

Read the OneID case study →Read the unified experience case study →

Building a product from zero?

I'm always glad to compare notes on 0→1 launches, first partner channels and growing a product team.

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