AI consulting, built in production

Make AI
work for your whole team.

We deliver the 10x promise of AI by making AI work for everyone… even if you aren't technical.

Where most AI initiatives fail

Everyone was promised 10x. Almost nobody is getting it.

A faster email here, a decent first draft there. Useful, and nowhere near what you were sold. The tools are good enough now. They just aren’t plugged into anything, and nobody has told them how your company works.

01

It automates a job nobody actually does

Somebody picked it from a description of the job instead of the job. Descriptions always drop the waiting, the re-keying, and the four systems the task crosses.

What we do instead

We spend week one watching the real work at the speed it happens. You get a ranked list with the hours behind each line, and a second list of what to leave alone.

02

It can’t reach your tools

It can talk about the work all day. It can’t do the work, because it has no access to your CRM, your inbox, or your billing system.

What we do instead

We go past the systems that ship with a connector. Where a vendor offers no API at all, we drive the browser signed in, clicking the same screens your team does.

03

Your best workflows live on one laptop

One person on your team is getting real leverage out of AI. They spent a hundred hours getting there. Nobody else has any of it.

What we do instead

We get those hundred hours out of their head and write them down as skills anyone can run: named, version-controlled, reviewable.

04

Nobody trusts it with the real work

With no rules about what it can and can’t touch, the work that actually matters never gets handed over. So the value stays small and the pilot quietly dies.

What we do instead

Your managers set the limits on purpose: spend caps, who it may contact, brand voice. Each one is a check in the path of the call, not a polite request.

05

It only ever reached the volunteers

The pilot went to the three people who put their hands up, and it worked for them. The median person never got it, and everybody hired since started at zero.

What we do instead

The whole team gets the same connections, skills and rules installed, down to the hire who starts next month, because the setup is part of onboarding.

06

Everything you built is stuck inside one vendor

The connections, the workflows and the rules all live in one product’s format. Harnesses last about eighteen months. When this one gets replaced, you do the whole thing again.

What we do instead

We build that layer so you own it, separate from whatever tool runs it today. Switch AI tools next year and all of it comes with you.

Why AI projects fail

You’ve made it this far. If you just want to kick around some ideas, we’re happy to chat.

Who we are

We've had to solve this from the inside.

Corvino Labs is led by Casey Corvino, CTO and co-founder of Lavender, where he built and ran AI in production for a real company with real customers. Not a demo.

That's the whole basis of how we work. We're not here to run you a workshop on prompting. We're here to make the thing work for every person you employ, and then to hand it over so your team can run it without us.

How we work together

The plan

Five steps. It starts with watching.

Step 1

We shadow your team

Before we build anything, we sit with your people and watch the real work happen: which tools they open, where they sit waiting on somebody else, what they rebuild by hand every week. This is the step most AI projects skip, and it's why most of them automate the wrong things.

Step 2

Connect it to everything you use

Slack, Gmail, Drive, your CRM, your billing system, the internal dashboard nobody else can integrate with. Agentic work breaks if even one tool is missing, so we don't stop until all of them are in.

Step 3

Teach it how your team does the work

The workflows we watched in step one become skills anyone on the team can run: the way you write a proposal, close a month, escalate a ticket.

Step 4

Set the rules it can never break

Managers decide what can be delegated and what can't. Brand voice, spend limits, who it's allowed to email, what it must never guess at. Enforced, not suggested.

Step 5

Roll it out to everyone

New hire on day one, ten-year veteran, whole department: everybody gets the same connections, skills, and rules installed. Not a pilot with three volunteers.

The five steps in full, week by week

What we sell

Two offerings.

Both are available today. Start with Foundation; add Nexus when your team outgrows it.

Offering 1 · Start here

Foundation

The groundwork, and where almost everyone should start. We take the AI tool your team already has and make it genuinely useful: wired into every system you run, loaded with your team's best workflows, and fenced in by rules your managers set.

  • Works in the AI tools you already pay for, no new vendor
  • Every tool connected, including the ones with no integration
  • Your best people's workflows, shared with everyone
  • Manager-controlled rules and permissions
  • Deployed to the whole team, not a pilot group
Offering 2 · Advanced build

Nexus: AI Employees

The advanced build, for teams already getting real work out of AI and hitting the ceiling of a shared assistant.

A fleet of AI employees with real roles, reporting into your org chart, working inside the tools your team already lives in.

  • Dedicated employees with their own accounts: Gmail, Slack, Salesforce
  • Siloed memory, rules, skills, permissions, and training per role
  • Works where you work: Slack, Asana, email, your own app
  • Builds the small internal tools your team keeps asking for
  • Model-agnostic and cost-routed by default
  • For teams with the AI maturity to run it

Customer story

EPL Media: from constrained to scale.

Background

EPL Media is an out-of-home advertising company specializing in media planning and buying. Their clients range from heritage apparel and luxury fashion brands to emerging DTC labels and fellow agencies, all looking to get more out of billboard and poster campaigns.

Problem

EPL hit a classic constraint: hire more people to scale revenue, or keep revenue flat. Out-of-home delivery is operationally taxing. They knew AI could help. They didn't know how much.

How we helped

We shadowed the business before we built anything. That surfaced several workflows that were unnecessarily manual: client delivery, back office admin, reporting, and resource management.

Step 01

Connect all of their systems

The plumbing first. Every system the work already ran through, wired into one place, so the AI could reach the real data instead of talking about it.

Their finances ran through QuickBooks, which had no connector worth using. We built a custom QuickBooks MCP so the back office was reachable like anything else.

Step 02

Build the AI onto the manual work

With the systems reachable, we built on the four areas the shadowing surfaced: client delivery, back office admin, reporting, and resource management. We took the manual steps out of each one.

Planning needed a tool that did not exist, so we built one. Telos is their internal out-of-home planning system, and the logistics side of the business now runs on it.

Step 03

They're building without us

The step that matters. EPL's own team now extends the system themselves. New workflows go in without us in the room.

Where they are now

2
People running the business
$6M
Annual recurring revenue

Logistics and finances both streamlined, and the constraint they came to us with is gone. Revenue no longer costs headcount.

“Nexus has made our 2 person team feel like a 20 person team.”

Kai Matsukuma, Head of Operations · EPL Media

Your needs are probably different.

Ways to work with us

Three ways in.

Depending on whether you have a team to do this, want us to get you started, or want the whole build taken off your plate.

01

Advise

You already have people on this. We give your team the roadmap to build a system that doesn’t depend on a single resource, so what you build outlasts whoever built it.

02

Foundations: we get you started

The intelligence layer plus a Chief of Staff AI Employee. We build the company intelligence layer you need: the custom connections and the core documents. Then you can ask your business anything.

It comes with a trusted AI employee, ready to start taking work off your plate.

The intelligence layer

AI Employees

03

Build for you

We take on 100% of the build out, including specialized AI employees, and stay until your team has them embedded in the work, rather than sitting unused.

What a specialized AI employee is

Ready to roll?

What's at stake

The gap is compounding.

Right now the difference between your best person and everybody else is a hundred hours of setup they did on their own. Every month that stays true, that gap gets wider and harder to close. The people who could have closed it get further behind.

Closing it is not a research project. It's connections, skills, and rules, installed for everyone. That's Foundation, and that's the work.

Enablement

Every employee, fully equipped.

New hire or ten-year veteran, everyone gets installed with the same training, skills, rules, and connections on day one.

Installing Marketing Team

Setting up training, skills, rules & connections

  • ✓Training
  • ✓Skills
  • ✓Rules
  • ✓Connections

Let's see if this fits.

A 30-minute call. Tell us what your team does all day and we'll tell you honestly whether we can help.