Operations time audit
A week-by-week map of where your team’s hours go, and which tasks an agent could take over.
Home / Services / AI Automation of Operations
Service
A small team that works like a large one.
You didn’t start a company to reconcile invoices and copy numbers into reports. We hand that work to AI agents, with clear checks, so your team gets its week back.
AI automation of operations is a Regenerate Capital service for startups and small teams buried in repetitive work. We map your admin, reporting, support and back-office tasks, then build AI agents that handle them with human checks where it matters. You end up with documented, owned automations and a team free for higher-value work.
What’s included
What the service includes.
Reporting on autopilot
Daily or weekly reports assembled from your tools and sent to the right people without anyone building them.
Support triage agents
Agents that sort, answer and route routine questions, and hand anything sensitive to a person.
Back-office workflows
Invoicing, onboarding paperwork, scheduling and data entry handled by agents with clear rules.
Model and cost choices
The right AI model for each task, so quality holds and the monthly bill stays predictable.
Monitoring and alerts
Checks that tell you when an agent fails or drifts, instead of finding out from a customer.
Documentation and handover
Plain-language notes on what each agent does, so your team can own and change it.
Sound familiar?
Do you have these problems?
- Your best people spend Friday afternoons building the same report by hand.
- Support questions pile up overnight, and the same five answers get typed again every morning.
- You’ve tried an AI tool, but nobody trusts its output, so someone checks everything twice.
- Invoices, onboarding forms and scheduling eat hours that should go to customers.
- You’re about to hire for admin work, and you’re not sure the role needs to exist.
- Your automations break quietly, and you only notice when something is missing.
Our approach
How we solve them.
01
Measure before automating
We track where the hours actually go for a week or two. The biggest, most repetitive tasks go first.
02
Write the rules down
Every task gets a written procedure before an agent touches it. If a person can’t follow it, an agent can’t either.
03
Build with a human check
Agents start by drafting and a person approves. Checks come off only where the results have earned it.
04
Make failure visible
Every agent reports what it did and raises an alert when it fails, so nothing breaks in silence.
05
Hand it to your team
We document each automation and train the people who will own it, so it keeps working after we step back.
Track record
How we’ve solved it before.
Drawn from our founder’s past roles and companies. Past results don’t guarantee future outcomes.
A fleet of agents at work
Our founder runs a fleet of AI agents for lead generation, outreach and operations across his own companies.
Built on the model layer
Joaquim co-founded Gatewayz.ai, an AI inference gateway that gives one API for many AI models.
Operating systems that scaled
As Chief of Staff at Secure Digital Markets, our founder built its HR and marketing systems as it grew from 9 to 40 employees.
Do it yourself
Resources to solve it yourself.
Start this week
- Ask everyone on your team to list the three tasks they repeat most each week, with the time each one takes.
- Pick the most repetitive of those tasks and write its steps down as if for a new hire.
- Try that written procedure with an AI assistant on last week’s real data, and check every output by hand.
- Set one alert for the automation you already rely on most, so you hear about failures before your customers do.
From the founder playbook
01
Build the smallest thing that works
Step 04 · Ship the narrowest product that delivers the core outcome, measure it, and improve it weekly. Use AI so a small team works like a large one.
02Scale the operating system
Step 08 · Install rhythm, ownership and metrics so the company runs without the founder in every room, and lead the team through the changes growth brings.
Recommended reading
Habits and discipline
Getting Things Done
David Allen
A trusted system for everything on your plate, so your mind can focus.
Focus and mastery
Essentialism
Greg McKeown
The disciplined pursuit of less, the core skill of an early-stage founder.
Habits and discipline
Atomic Habits
James Clear
Systems over goals: how small, consistent changes add up to remarkable results.
Related services
Other services that could help.
Sales automation
AI agents for prospecting, outreach, qualification and follow-up, wired into a clean CRM. Your pipeline keeps moving while the team sleeps.
Experience · Builds and runs AI lead-generation and outreach agents across his own companies.
Chief of Staff and operating rhythm
OKRs, meeting cadence, board reporting and the internal systems that give you your time back.
Experience · Chief of Staff at Secure Digital Markets (team of 9 to 40). COO at MLG Blockchain.
Remote-first operations
Distributed teams that work: an async cadence, clear tooling, written documentation and a culture that survives distance.
Experience · Has built and run companies from 75+ countries. MLG Blockchain grew to 120 people fully remote.
Questions
Straight answers.
Which tasks should we automate first?
The ones that repeat often, follow clear rules and cost the most hours. Judgment calls and sensitive conversations stay with people.
What happens when an agent makes a mistake?
Agents start with a person approving their work, and every one reports what it did and alerts you when it fails, so mistakes get caught early.
How do terms work?
Terms are flexible and shaped around your startup: equity, cash, commission, in-kind or a mix, agreed in writing before we start.
Work with the studio
Get on an exploratory call.
Tell us about your company in a few lines. Right after, you can book an exploratory call with our team to see how we can help.