FutureFit AI

The problem

FutureFit AI operates in one of the most complex markets imaginable: workforce development ecosystems. Their buyers aren’t just companies. They’re state agencies, regional intermediaries, training providers, large employers, and community-based organizations — all working to help people transition to better jobs.

And those sales cycles? 12 to 18 months.

For years, the GTM team pushed forward without a real stack. HubSpot sat unused. Notes lived in Notion. Key context lived in inboxes. Deals lived mostly “in people’s heads.”

Aly Slater, Head of GTM at FutureFit, had seen the pattern repeat across multiple roles inside the company — chief of staff, customer success, partnerships, and now sales leadership. Different tools. Different owners. Same story: nothing stuck.

HubSpot wasn’t the villain — it was simply too heavy for a small team with turnover and a relationship-driven motion.

“Anybody that went in just felt confused… without having taken a masterclass. How do I actually start to derive value from this?”

— Aly Slater

Meetings took 15 minutes of prep: digging up past conversations, checking LinkedIn, reading old email threads (if you could find them at all). After meetings, follow-ups slipped through the cracks because everyone was jumping straight into the next fire.

With multi-stakeholder deals, nine sub-segments across two ICPs, and long nurture cycles, FutureFit needed more than a CRM.

They needed a system that could:

• Synthesize 12–18 months of activity
• Prepare reps automatically
• Keep deals warm during long periods of silence
• Live where the team actually worked
• Be intuitive enough that no one needed to be “the HubSpot person”

And they needed a system people actually liked using.

How they found Clarify

Aly discovered Clarify through an article from Clarify’s co-founders rethinking CRMs from first principles in an AI-first world.

But it wasn’t AI hype that hooked her. It was the questions Clarify was asking: the ones traditional CRMs ignore, and the ones only early GTM teams understand.

“I saw some questions being asked and problems articulated that I resonated with… finally someone building for the unique challenges that we face.”

— Aly Slater

FutureFit evaluated three paths:

• Do nothing — stay with HubSpot
• Move to Attio — more modern, but still traditional
• Bet on Clarify — pre-launch at the time, but a fundamentally different vision

Choosing Clarify was a leap of faith.

“There was some fear, and I had some sleepless nights about it, but the way Clarify was thinking about CRM was really exciting to me.”

— Aly Slater

The solution

FutureFit rolled out Clarify as their single system of record — replacing Notion notes, scattered spreadsheets, and an underused HubSpot instance.

The unlock wasn’t more features.

It was less friction.

1. Meeting preparation went from 15 minutes → nearly instant

Clarify’s daily briefs condensed everything into one place: email history, past conversations, LinkedIn activity, summaries, and recommended talking points.

“The meeting briefs were immediately valuable. The amount of information it’s able to synthesize has been very powerful in terms of reducing my time to prep.”

— Aly Slater

2. Notes, recaps, and follow-ups all lived in one place

FutureFit started running their entire deal rhythm inside Clarify:

• Notes inside the meeting card
• Account plans attached to deals
• Follow-up emails suggested via Ask
• Next steps surfaced automatically

“It’s very good at helping us identify potential blockers, recommending next steps, and helping us understand the strategically aligned path.”

— Aly Slater

Everything lived together. Everything compounded.

3. AI Fields cracked their hardest GTM problem: segmentation

FutureFit sells into a uniquely nuanced ecosystem. Clarify's AI Fields understood it immediately.

“It was scarily accurate… being able to differentiate between complicated segments from pretty much the very beginning.”

— Aly Slater

4. The team actually adopted it

Aly created a Slack channel to share fun Clarify moments — “the series no one asked for.” Adoption spread quickly because the product felt light, intuitive, and inviting.

“Clarify is just very intuitive to use and very clean.There’s immediate value.”

— Aly Slater

Outcomes

Prep time dramatically reduced

Meeting prep dropped from 15 minutes → ~5 minutes, saving hours each week across multiple reps and calls.

No more dropped follow-ups

With 12–18 month cycles, FutureFit AI needs more than a static system of record.

Aly highlights Clarify’s Ask Deals and Ask Meetings give the team strategic recommendations to move deals forward and prep for upcoming conversation, context they previously had to piece together manually.

Proactive surfacing of missed steps and stalled deals remains aspirational today, but Clarify is becoming the system that will eventually power it.

One unified GTM home

Notes, plans, insights, and AI-enriched context all live in one place instead of being scattered across tools.

A genuinely delightful “aha” moment

AI Fields became another turning point for Aly and her team when they realized the extent of its capabilities. They used it to automatically classify incoming people and leads according to their target markets so they knew where to prioritize outreach.

“For the first time, we could reliably segment, nurture, and understand our ecosystem.”

— Aly Slater

Why Clarify worked where HubSpot didn’t

This wasn’t about features. It was about philosophy.

FutureFit needed a CRM that matched the actual workflow of founder-led, long-cycle, relationship-driven sales — not a bloated system that required certification to use.

Aly summed up the difference clearly in the transcript:

“The system is easy to use, clean, and immediately valuable. it enables our team to do things we simply couldn’t do before.”

— Aly Slater