A conversation with a real person, just beginning An incoming message from a visitor and a warm reply, in progress with typing dots, from an avatar representing a real person.

It all starts the same way: a short, no-pressure conversation about what your Salesforce could be doing on its own. You don’t need a plan or a problem statement — just a sense that your team spends too long on work the system should be handling. Thirty minutes, no pitch, and you’ll leave knowing what’s actually possible in your org.

Talk to Eric

You don’t have to know what to automate

Most people come to us with a feeling, not a spec — a sense that too much of the team’s day goes to work the system should be handling, but not a clear idea of what to fix first. That’s exactly the right place to start. Figuring out what’s worth building is our job, not yours.

You bring the knowledge of your business; we bring the knowledge of what AI can now do inside your org. Between the two, the opportunities tend to surface fast — usually faster than people expect.

What we can build

Almost everything we build comes down to four jobs your Salesforce can now do on its own — reading, deciding, drafting, and keeping data clean. Once AI can do those reliably, inside your org, a lot of manual work simply stops being manual.

The jobWhat it meansWhat it replaces
ReadPull meaning from a website, an email, a document, a recordHours of manual research and reading
DecideScore, rank, route, or flag based on what it readGut-feel triage and inconsistent follow-up
DraftWrite the first version — an email, a summary, a next stepBlank-page work nobody has time for
TidyStandardize, de-duplicate, and fill the gaps in your dataThe cleanup project that never happens

In practice that becomes things like lead enrichment (every inbound lead read, scored Hot / Warm / Cold, and routed the moment it arrives), follow-up automation (a first-draft outreach or next-step waiting for your rep instead of a blank field), and pipeline and data cleanup (stale records flagged, duplicates merged, missing fields filled overnight). Most engagements are a version of one of these, shaped to your business — and the best one for you is usually something we find together in that first conversation.

How the engagement works

The whole thing is built to be short, fixed, and low-risk. Three steps, about two weeks, and you always know exactly where it ends.

  1. A conversation. Thirty minutes, no pitch. We look at how your team works and agree on one thing worth building — one with a clear, real payoff.
  2. A two-week build. We build it directly in your Salesforce org, show you progress as we go, and tune it against your real data — not a demo sandbox.
  3. Handoff. It goes live, we walk your team through it, and you own everything we made. No retainer, no dependency on us to keep it running.

This isn’t theoretical

We build the same things in our own business that we build for clients — the lead-enrichment automation on the home page runs in our org every day, on our own pipeline, before we ever recommend it to anyone. If you want to see the thinking in more depth, the blog is where we work through real builds and what they actually take. But the fastest way to find out what’s possible in your org is still a short conversation about it.

What you own when we’re done

This is the part that separates a build from a subscription. When the two weeks are up, what we made is yours — it lives in your Salesforce org, runs on your seat, and keeps working whether or not you ever talk to us again.

What “you own it” actually means

The automation, the configuration, and the logic all sit inside your org under your control — no black box, no platform of ours you have to keep paying for, no code held hostage. You can run it as-is for years, hand it to another admin, or change it yourself. We’d be glad to build the next thing with you, but you’re never locked in to make this one keep working.

What it costs — no fine print

A build is a flat $5,000. Not “starting at,” not hourly, not a number that moves once we’re in. One automation, built and working in your org, for one fixed price. If a second opportunity is worth pursuing, it’s simply another build — same flat price, same two weeks — so you’re never signing up for an open-ended engagement to find out what it’ll cost.

That flat fee covers the whole thing: the working conversation, the build itself inside your org, tuning against your real data, the go-live, and walking your team through it. Here’s how that compares to the way Salesforce work usually gets priced:

Typical SF consultancylovgren.ai
Engagement length8–16 weeks2 weeks per build
Pricing model$15K–$60K, hourly$5,000 a build
Who builds itJunior team, offshoreThe person you talked to
You own the code
Vendor-neutral advice
The one cost that isn’t ours

For the AI to work inside your org, it needs a Salesforce seat to run on — roughly $165/month, paid to Salesforce, not to us. We’ll tell you exactly what’s needed before you commit, so there’s no surprise line item later. It’s the only ongoing cost, and it’s usually a rounding error against the work it takes off your team.

Talk to Eric

No forms to qualify you, no junior rep, no pitch. Just thirty minutes with the person who’d do the work, about what your Salesforce could be doing on its own.

Talk to Eric

No Pitch, Just Possibilities.

It all starts with a conversation

No forms, no funnel — just thirty minutes with the person who'd actually do the work.