Operations Consulting · AI Integration

Your system went live.
Your team went back to spreadsheets.

We've worked inside the platforms your business runs on — not around them. We find where the workflows broke down, fix the ones that actually matter, and show you where AI fits. Not generic off-the-shelf fixes. Built around how you actually operate.

We make your existing software work for how you actually operate — not how the demo suggested you should.

Our team has worked inside: Enterprise SaaS · HR Tech · FinTech · RevOps · Operations & Logistics

The Problem

Sound familiar?

You rolled out a new system — HR, POS, CRM, whatever it was. You spent real money — on licenses, on implementation partners, on internal time. And 18 months later, here's what you've actually got:

A system people work around, not with
Spreadsheets running parallel to your "single source of truth"
Reports that nobody trusts
A growing backlog of "we'll fix that in the next phase" items that never get fixed
And now your board is asking about AI — on top of all of it

This isn't an edge case. It's what happens at the 18-month mark in nearly every mid-market implementation we've seen.

Here's what nobody told you: most of that problem isn't a platform problem. It's a workflow problem. And workflow problems can be fixed in 30 days — not with more software, not with another implementation partner, but with someone who understands where AI fits and how to make it stick.

"We've tried consultants before and it didn't go well."

We know. The last firm gave you a deck and a roadmap and disappeared. We don't do discovery phases that lead to more discovery phases. We define the problem, fix the workflow, and measure whether it worked. If it doesn't move the metric we agreed on upfront, we work two extra weeks at no charge.

How It Works

Three ways to work with us —
depending on where you are.

We built the engagement model around one rule: you should see a real result before you make a big commitment.

Start Here

$500

AI Readiness Audit

Two working sessions. We interview your team, map the workflows causing the most friction, and deliver a plain-English report — not a 40-slide deck — with a prioritised list of what to fix and whether AI fits anywhere in that picture.

What you get

A one-page written recommendation you can act on immediately. No fluff, no follow-up workshops disguised as deliverables.

Perfect if

You know something's broken but you're not sure where to start.

Four steps. No surprises.

01 Diagnose

Structured interviews

Ops leads, technical stakeholders, end users. We're not looking for what people think the problem is — we're looking for where data, workarounds, and complaints actually converge.

02 Prioritise

One clear recommendation

Not every broken workflow is worth fixing right now. We rank by cost (time, money, morale), fixability, and AI-readiness. You get one clear recommendation — not a list of 40 things.

03 Fix

Inside your existing stack

We build, configure, or redesign the workflow inside your existing systems, with your existing team. No new tools unless the old ones genuinely can't do the job.

04 Measure

Before / after proof

Every engagement ends with a before/after measurement tied to the metric we agreed on upfront. If it didn't move, we haven't finished.

Free Resource

Your team has the tools.
Here's how to get them using it.

The AI Rollout Playbook — a step-by-step guide to rolling out AI to your team without it dying by week three. Used by founders and ops leads at 100–500 person companies.

Free Download

The AI Rollout Playbook

Four proven steps for getting your team off the old tools and onto AI that sticks. Covers: who to start with, which workflow to replace first, how to close the familiarity gap, and how to set ownership so it actually happens.

Get the Playbook →

The Team

We didn't just consult on these problems.
We've lived them from the inside.

Most consultants have read the playbook. We helped write it. We don't implement generic solutions. We build around how your team actually operates — because the off-the-shelf version is probably why you're here. Working inside enterprise platforms at the level where you understand not just what they're supposed to do, but where and why they break.

Dean Reina

Software Architecture & Technical Strategy

Workday Senior Principal Architect

One of the youngest people in Workday's history to reach Senior Principal Architect and Director. Built products used by hundreds of thousands. When we design a workflow fix, he's the reason it holds up six months later. Holds patents in adoption analytics.

David Gottlieb

UX & AI Operations

ServiceNow Workday OKX

A decade of UX research inside ServiceNow, Workday, and OKX — specifically studying why workflows break down and what actually fixes them. Runs the diagnostic process that turns your messiest ops problems into something a real team can act on.

Chandler Packard

AI Operations & Go-to-Market

Salesforce RevOps

10+ years guiding Salesforce implementations and RevOps overhauls. Unusually good at cutting through ambiguity — finding where the real friction lives and building the operational scaffolding to clear it. Runs Packard Collective — 1,000+ AI practitioners.

What the team behind FutureProof has built

Users on products the team built and shipped

Average team tenure inside enterprise platforms

Patents held in adoption analytics

AI practitioners in Packard Collective

Is This You?

You might be exactly who we work with.

You're the right fit if:

✓You rolled out a new system in the last 1–3 years and adoption is lower than it should be.
✓Your team has built more workarounds than the platform was designed to support.
✓You're being asked about AI strategy but your foundational workflows aren't clean yet.
✓You've hired consultants before and the result was a deck, not a fix.
✓You need something real, measurable, and finished — not another discovery phase.
✓You're tired of being told to change how you work to fit the software — you want software that fits how you work.

This probably isn't for you if:

✗You're looking for someone to manage your platform vendor relationship.
✗You want a multi-year transformation roadmap before you'll consider doing anything.
✗You need someone to blame when it doesn't work out.

What teams are saying

Brandmates

FutureProof didn't just help us use AI — they helped operationalize it across our entire team. What used to be a fragmented content process is now a system we run daily. Our output increased, and our brand consistency improved at the same time.

— Mateo Bueno, CEO, Brandmates

Preamble AI

Even as an AI company, we had gaps in how our workflows scaled across teams. FutureProof introduced a level of structure and repeatability we hadn't built ourselves. That's what unlocked real leverage.

— Jeremy McHugh, CEO, Preamble AI

DocJuris

Legal teams are skeptical of new technology — but FutureProof met us where we are. They built workflows around how our team actually operates, not how software demos suggest we should. Adoption was immediate.

— Henal Patel, DocJuris

Dr. Katz

I didn't think AI systems applied to my practice. FutureProof showed me exactly where they did — and built something I actually use every day. It changed how I work in ways I didn't expect.

— Nate Hundt, CEO, Dr. Katz

The Part Nobody Talks About

Your team has the tools.
They're just not using them.

I spoke to an agency founder this week who said something I haven't stopped thinking about: "I need to challenge myself to think about these processes in a new way. Not just automate the old way."

He'd already built a solid AI foundation. But his team was still on the old tools — not because they couldn't use the new ones, but because nobody had closed the gap between "technically possible" and "actually faster on a Tuesday afternoon when you're under pressure."

That gap is where most AI rollouts die.

Start with one person, not everyone.

Find the most curious person on your team — not the most senior. Get them genuinely good first. Let them lead the rest. Peer-to-peer adoption beats top-down mandates every time.

Replace one workflow completely.

Not ten workflows partially. Pick the single most repetitive, high-value task and move it entirely to the new stack. Parallel systems kill migrations — people default to the familiar tool the moment they're under pressure.

Make the new way easier on day one.

People revert to the old tool because it feels faster. It's not faster — it's just familiar. Close that gap before launch: five prompt templates for the tasks your team does every day. Hand them a working system, not a blank tool.

Name an owner. Set a date.

"We're moving to AI-assisted reporting" is an intention. "By May 15th, all client reporting runs through Claude — Sarah owns it" is a project. Without both, it quietly doesn't happen.

"The real training isn't 'here's how to use Claude.' It's 'here's how to think before you prompt.'"

That's a one-hour workshop before launch. Worth more than any Notion doc — and it's part of how we run the 30-Day Transformation.

Most teams never get that far. We make sure yours does.

Get Started

Let's find out what's actually broken.

The $500 Audit is the lowest-risk way to get a real answer. Two working sessions. You'll come out with a plain-English report, a prioritised fix list, and a clear view of where AI fits — or doesn't.

If it turns out AI isn't the right move for a specific problem, we'll tell you that too.

Or book a free 30-minute call →

No deck. No proposal theater. One real conversation.

Common Questions

Honest answers to what we actually get asked.

How is this different from our original implementation partner? +

Your implementation partner's job was to get you live. That's a different goal than making sure your team actually uses what got built. We come in after go-live — specifically to close the gap between "technically complete" and "operationally working."

We've already tried consultants and it didn't go well. +

We know. The most common feedback we hear is "they gave us a roadmap and disappeared." We don't start with a roadmap. We start with a diagnosis, and we don't leave until something measurable has changed.

Is this an AI company? +

Not exactly. AI is a tool we use when it genuinely helps. We're an operations consultancy with deep platform experience. If AI belongs in the fix, we'll use it. If it doesn't, we'll tell you that — and save you the implementation headache. And unlike most AI implementations, we don't ask you to change how you work to fit the tool. We build around how you actually operate.

How quickly can you start? +

Usually within two weeks of the initial call, depending on scope. The AI Readiness Audit can begin within a week.