Sales excellence · AI enablement · Systems · Custom builds

You don't have an AI problem. You have a where-do-I-start problem.

I'm Antonio. I work with companies the technology market skipped over: the ones watching everyone else talk about AI while their quotes live in a spreadsheet and their forecast is a guess. I don't hand you a strategy deck. I fix the process, clean the data underneath it, and build the thing that runs.

The platforms this runs on

Platform logos, currently rendered from mixed-format source files.

Where this usually starts

Three versions of stuck. You are one of them.

  1. The hunch

    You have a feeling AI could take real work off your plate. You're probably right. What you don't have is a straight answer about where it would start, or what it costs you to find out.

  2. The overwhelm

    Every article says something different and every tool demos beautifully. You don't have a spare week to sort the real from the noise, so it stays on the someday list.

  3. The gap

    The people selling you AI have never run your business. The people who understand your business have never built software. Nobody is standing in the middle.


That middle is where I work. Part operator, part builder, part guide. A sherpa who has carried the load before and knows which parts of the climb matter.

Industries I serve

The industries technology forgot.

I work with sectors that are chronically under-served by software, where the vendors are thin, the tooling is generic, and the operators are too busy running the business to run an evaluation. If you're profitable, technical about your own craft, and have nobody in-house to build software, you're who I'm for.

Independent marketing agencies

See the detail
What's broken
You are busy and the margin is gone, and those are the same problem. Small requests nobody logs, revision rounds past what the SOW sold, and cash sitting in a client AP portal because an invoice bounced on a field nobody checked.
What I do about it
Capture the work that gets absorbed, so the scope conversation starts with a number. Validate invoices before they hit the portal. Build the client AI-permission register that decides what you can even say yes to.

PR & communications

See the detail
What's broken
You are too buried in client work to go and sell, and the work you would sell is already inside the retainer for free. The AI you bought audits a media list well and then drifts the moment it has to sound like you, because your voice, your contacts, and fifteen years of client history live in documents nothing can query.
What I do about it
Turn the media list, the voice rules, and the pitches that got placed into records, so drafting becomes a lookup instead of a guess. Put a price on the audits and the website work you hand over free. Work the dormant client list on purpose rather than waiting on referrals.

Trades & construction

See the detail
What's broken
Quoting lives in a spreadsheet and one estimator's head. Job data is scattered across QuickBooks, email, texts, and paper in a truck. Change orders go untracked, follow-ups slip between sites, and the owner does admin at 11pm because there's no other time for it.
What I do about it
Quoting and intake tools shaped around the way your crews work. One connected record for jobs, materials, and invoices. Automation that keeps follow-ups and billing moving without a nightly admin shift.

Manufacturing & distribution

What's broken
The ERP was configured for a business you no longer run. Production, inventory, and demand live in three systems that disagree, so planning happens in a side spreadsheet somebody maintains by hand. Nobody finds out a shipment is late until the customer does.
What I do about it
ERP cleanup and a real integration layer around it. Inventory and demand data that reconcile. Agents that surface what's slipping (short parts, at-risk orders, drifting margins) while there's still time to act on it.

Small law firms

See the detail
What's broken
Intake, conflicts checks, and matter status run on email and memory. Billable hours leak into administrative work nobody pays for. And client data is confidential enough that most consumer AI tools are a non-starter, so the firm sits the whole thing out.
What I do about it
Locally hosted document and intake workflows, so client material never leaves your control. Matter and deadline tracking that stays current without someone chasing it. Drafting and review assistance running on infrastructure you own.

Residential real estate

See the detail
What's broken
Since commission decoupling, buyer-side pay is set in three documents that nothing reconciles, so the gap surfaces in escrow with no leverage left. Referrals you sent out close inside a brokerage you cannot see, and nobody invoices the fee. The HOA packet sits unread until the lender kills the deal a week before closing.
What I do about it
Reconcile the compensation numbers across the three agreements and watch the 90-day clock. Paper every outbound referral and detect the close that owes you money. Read the association packet the day it lands. Brokerages and teams only: every one of these runs against a book of closed files.

What I specialize in

Four disciplines. One connected system.

Most firms sell you one of these and leave the rest broken. Sales process fails without clean data. AI fails without a process to enforce. Custom software fails when it's bolted onto systems nobody trusts. I work across all four because that's the only way any of them hold.

01

Operationalizing sales excellence

Your reps are fine. The process is the problem: it lives in one person's head, the methodology only shows up in training, and nobody believes the forecast. I design the process, coach the reps who run it, and put agents behind it so the standard holds on every deal, including the ones nobody inspects.

  • Sales process design: stages, exit criteria, and the fields that matter
  • Rep coaching built on what happens on the calls
  • AI agents and automations that cut busywork and lift close rates
  • Methodology enforced in the tools where your reps work
  • Forecast models and agents built to land inside 5% variance
02

Making AI useful to actual humans

You may have already bought the licenses. Adoption is flat, and nobody wants to say so out loud. I start with a straight read of where you stand, get your data and systems into a state AI can use, then train your people on tools mapped to work they already do, so the wins show up in the first week.

  • AI readiness assessments and hands-on team training
  • Getting your data and systems into AI-ready shape
  • Implementing (and rescuing) the AI investments you already made
  • Introducing new tooling, flows, skills, and agents worth your attention
  • Custom skills, agents, and workflows built around how you operate
03

Systems cleanup & implementation

AI is only as good as the record underneath it, and most records are a mess of duplicates, dead fields, and three systems that disagree. I implement and untangle the platforms you run on, connect them, and structure the knowledge sitting in documents, so your data becomes something chats, agents, skills, and workflows can use.

  • Salesforce and HubSpot implementation, rebuild, and migration
  • Snowflake and Databricks foundations that your reporting can stand on
  • ERP implementation and the integration layer around it
  • Notion workspaces that give documents and tribal knowledge a structure agents can query
  • Data cleanup: dedupe, normalize, and keep it in shape for AI to consume
04

Custom software builds

When the off-the-shelf tool for your industry doesn't exist, and in a lot of these industries it doesn't, I build it. Point solutions and agents that solve one real problem completely, rather than a platform that solves ten problems badly and bills you monthly for all of them.

  • Cloud-hosted, or fully local when your data can't leave the building
  • Industry-specific apps for workflows no vendor has bothered to serve
  • Agents that own a task end to end, from trigger to finished work
  • Built on your real systems and your real data
  • Handed over documented and running, with support as you change

How we work together

From “we should probably do something about AI” to systems that run themselves.

You don't need a technical background. You need to know how your business works, and that's the part I can't supply. Nothing gets built until you've seen what it costs, how long it takes, and said yes.

When systems drift, the loop restarts.SymptomWhat hurtsScopeSystems, data, handoffsProposalCost and timingBuildWorking software weeklyRunningMaintained after launch
  1. You name the symptom

    Half this job is being a therapist. You tell me what hurts: quoting eats three days, the forecast is never right, nobody touches the AI tools we bought. My work is getting from that symptom to the root cause, because fixing the symptom just moves it somewhere else.

  2. I scope out everything

    All of it: what you do day to day, what systems you're on, how the data moves between them, where the handoffs break. If you already know which pains to point me at, this goes faster. If you don't, I'm still going to find what needs fixing.

  3. You get a feasibility proposal

    What it takes to hand this to AI, written in plain language, with cost and timing attached. If you like it, we go. If you don't, we don't. No retainer, and no talking you into work that isn't there.

  4. We build, then I stay

    Every week you see working software. Something runs by week two. After two rounds of changes it ships and goes live against your real work. I stay on after launch, because APIs change and data drifts.

What that looks like in practice

Say you want an agent writing the copy for your ads. Before anything gets built, I'd scope out everything around it. How ads get briefed today, which systems hold the copy, who approves it, where it stalls, what it costs you in hours. Then you get a feasibility proposal for what it would take to hand that to AI, with the number and the timeline on it. You decide from there.

Where this comes from

I did the job for fifteen years before I sold it to anyone.

Fifteen years carrying the number and running the teams, then learning to build the software underneath it.

100+

Projects shipped for small and mid-size businesses across industries: AI tools, automation, and the systems underneath them.

25,000+ hrs

Handed back to client teams every year. Each project saves at least an hour per person per day.

$10M+

Revenue gained and protected across those engagements.

3

Revenue orgs built and scaled from zero at AI companies.

Who you're working with

I don't look, talk, or think like a tech guy. I've just done every job inside one.

Born and raised in the Bay Area, out of blue-collar stock. I ended up in the technology industry and learned the whole building instead of one floor of it.

Antonio Garcia, founder of Zecca Ventures

Antonio Garcia

Founder, Zecca Ventures · San Francisco

The people I grew up around ran routes, worked sites, and kept small shops open on thin margins. Nobody in that world had a technology budget, and nobody was waiting on one. That's the stock I come from, and it's still how I work: find what's broken, fix it, don't dress it up.

I went to San Francisco State, then spent fifteen years inside the technology industry. Nine of them at Salesforce, where I ran teams, carried a $20M book, and got named RVP of the Year twice. After that, three AI companies where I built the revenue org from nothing. Somewhere in there I stopped handing specs to engineers and started building the software myself.

Here's what all of that taught me: none of it is special. It's been gate-kept. Priced and packaged to feel out of reach, technically and financially, so the businesses that would gain the most assume it was never meant for them. That's just bullshit.

What makes technology companies grow is clean data, a process that repeats, automation carrying the boring half, and software built for the actual job. All of it works the same at a shop with nine people. My work is bringing it down to your size: cut the overhead, find new customers, run a tighter business. AI is what finally makes that affordable, and I know where to point it.

I do this not because you couldn't. Because you don't have a spare year to learn it, fail at it a few times, and start over. And because the alternative is paying a point solution tens of thousands a year to fix one narrow slice of your business. I'll cover more than that slice, for less, against the problems you have.

Every seat in the building

Business development
Finding the market, opening the door, building the pipeline that doesn't exist yet.
Sales
Running the process, carrying the number, and coaching the people who carry it.
Support & implementation
Go-lives, migrations, and the week the software finally meets the real job.
Engineering & builds
I write and ship the software myself. The person you brief is the person at the keyboard.
Consulting & delivery
Telling you what the work will take, then handing back something that still holds up after I leave.
Tooling
CRM, data, automation, and AI platforms. Configured and running in production before I hand them over.

You're a partner here. Not a line item, and not a rounding error.

I live and work in this community. I want to watch it thrive, and if what I've learned can help do that, everybody wins.

Under the hood

You don't need to know any of this. I do.

The same platforms that run enterprise revenue orgs and enterprise data teams, applied at a scale that makes sense for your business. You get the engineering standard without the enterprise invoice.

Certified implementation partner

I hold implementation certifications on the platforms most of this work runs through, so a build starts from how each system actually behaves rather than from a discovery call spent learning it on your time.

  • Salesforce
  • HubSpot
  • Attio
  • Notion
  • Clay
  • Apollo
  • Nooks
  • Gong
  • Fathom
  • Slack
  • Zapier
  • n8n
  • Snowflake
  • Databricks

Systems of record

Salesforce
HubSpot
Attio
Notion
NetSuite & ERP
QuickBooks
Stripe

Data platform

Snowflake
Databricks
PostgreSQL
Segment
Redis

AI & agents

Claude
OpenAI
Gemini
Glean
Relevance AI
n8n
Python

Revenue tooling

Gong
Outreach
Salesloft
Nooks
Actively
Clay
Apollo
ZoomInfo

Build stack

TypeScript
React
Next.js
Node.js
Docker
Kubernetes
AWS
GCP
Vercel

Start here

Tell me where you're stuck. I'll tell you where I'd start.

No pitch deck, no discovery-call funnel. Send a note about what's eating your week or where your AI effort stalled, and you'll hear back within one business day with a straight answer, including if the answer is that you don't need me.

Or write directly to antonio@zeccaventures.com