Your team added AI.
Results are still unpredictable.

For Sales Leaders who need clearer execution, explainable results, and real ROI before committing to long-term change.

We pilot AI sales execution workflows with your team and prove ROI in 30 days

Book a 20-Minute Fit Call

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You invested in AI.
Now the board wants to know what it actually did.

Most teams didn't fail at AI. They failed to decide how it should actually be used.

Sales reps spend only 28% of their week actually selling.

Why?

Fragmented data

Inconsistent context across tools

No shared standards

How work should happen

No governance

Where AI helps or hurts

For Sellers

Prompting, reworking output, little context
No template or system for repeatability
Checking every output because trust isn't there
Spending attention on AI and processes instead of buyers

For Leaders

Can't see where time is actually going
Can't tell which AI use improves deals
Can't explain results without interpretation
Can't scale what top performers do differently

This is not a tooling problem.
It is a revenue operating model problem.

Ungoverned AI quietly introduces execution risk at scale.

Our point of view on AI in sales

Not everything should be automated. Not everything should stay manual.

We help you decide what runs, what supports, and what stays human.

Automated

AI runs repeatable, low-risk work in the background, surfacing insights automatically where reps already work.

Augmented

AI supports reps with shared context and structured prompts, systemizing best practices while keeping judgment and control with the human.

Human

Buyer conversations, negotiation, and final decisions stay human by design. This is where trust is built and revenue is won.

The goal is to remove the work that's burying them so they have space to do what actually wins deals.

I've been the rep
drowning in the process.

Tanya Sherman, Founder of Space to Scale AI

12 years carrying quota in B2B SaaS. Buried in tabs, tools, and outdated processes that made it harder to just sell. Living the gap between what leadership thinks is happening and what's actually happening in deals.

I've watched AI rollouts create noise instead of leverage. Or never get adopted at all.

Everyone assumes it's a training problem. It's not. It's a systems problem. Nobody's watching where effort actually disappears. Everyone's focused on what reps should do. Nobody's watching what they actually do. Where deals stall for reasons nobody can explain.

That's where I build from. I design AI workflows from experience. What stays human, what gets embedded, what actually gets used.

Systems that help your team sell.

Tanya Sherman Founder, Space to Scale AI Connect on LinkedIn

Proof first.
Then we go deeper.

You've probably seen this before: a consultant runs an audit, delivers a deck, and leaves. Or a vendor promises transformation, and six months later you're still waiting for results.

We start with a pilot.

One workflow. A small group of reps. Real conditions.

We identify the highest-leverage moment in your sales process and prove AI can improve it. In your environment, with your team.

If it works, we've earned the right to go deeper.

How the pilot works

Discover

We learn enough to choose the highest-ROI execution moment to improve first

Extract

We analyze what your best reps do differently to inform the build (when recordings are available)

Build

We assemble the AI-ready context and workflow, informed by what we learned

Prove

We pilot a single workflow with a small group of reps in production conditions

Within 30 days.

AI agents we build

Each pilot includes one or more of these workflows tailored to your highest leverage moment.

Inbound intent

Execution consistency

Scalable outbound

Pre-call context

Multi-threading

Deal risk

What you walk away with

No matter what you decide next, you leave with assets your team can use.

AI-Ready Context Pack

A clean internal reference that makes AI useful across your team. Your sales motion, terminology, what good looks like, what stays human.

The foundation most teams never build.

Pilot Workflow Output

A working example your team has used in real conditions. What we built, how reps used it, and what changed in effort, clarity, or execution.

Evidence of what worked. In your environment.

Top-Performer Pattern Summary

Behaviors that correlate with better outcomes. Repeatable patterns you can standardize. Where judgment stays human.

When recordings and data are available.

Executive Readout

A leadership-ready summary. Did this create real signal or just activity? Is it worth scaling? What's the next best step?

Clear enough to share with your board.

These assets are yours whether we continue working together or not.

What comes next

The pilot is designed to stand alone.
If the results earn it, this is where most teams go next.

Listening Tour

We interview your team to map where context gets lost, where time disappears, and where AI can actually help.

Stack Audit

We review your current tools and identify high-leverage integrations.
No new systems. Just smarter connections.

Production Integration

We build AI into the places reps already work: CRM, email, calendar.
Invisible. Automatic.

All AI workflows run in a private, secure cloud environment with encryption and enterprise-grade access controls.

FAQ

What is AI sales workflow implementation? +

AI sales workflow implementation is the process of building AI-powered systems that integrate into your existing sales motion. Unlike buying standalone AI tools, implementation focuses on creating an operating layer that connects AI capabilities to real sales activities like prospecting, account research, and deal management. The result is AI that actually works within your team's day-to-day workflow.

We already have AI tools. Why do we need this? +

Tools without systems create noise. We build the operating layer that makes AI actually work inside your sales motion.

What's the time commitment from our team? +

Minimal. We need access to a small group of reps, some existing data, and a point of contact. Most of the build happens on our side.

What happens after the pilot? +

If the pilot proves signal, we expand thoughtfully: formalize what worked, extend into additional revenue moments, and decide whether we steward it for continuity or transition ownership internally over time.

How is this different from hiring a RevOps consultant? +

RevOps implements tools. We build systems from the frontline up, starting with what top performers actually do, not what the tool documentation says.

Why a pilot instead of a full engagement? +

Because proof earns trust. We'd rather show you it works in your environment before asking for a larger commitment.

A low-risk way to prove
AI can improve sales execution

One pilot. Real conditions. Clear answer.

I take on 2-3 pilots per quarter to ensure each one gets the attention it deserves.