Overpath is live. The execution layer is now available.

For years, revenue teams have been searching for the edge - the tool or stream of data that is going to give them that competitive differentiator. In that time we've seen the rise of CRMs, call intelligence and more recently Artificial Intelligence. But what they were really buying was information and it was up to the team to translate that information into revenue. 

None of it has actually made them sell better.

Markets are getting harder to sell into. Along with that, the standards set on sales teams to perform are getting higher. Having more information about a prospect will only get you so far. So it is the teams that execute at a higher velocity that are winning. That means not only having the best information - but knowing the best time to use it in order to give the best probability of winning the deal. 

Look at any sales team and there is always at least one outlier. They don't have better information that the next rep who's performing at the median rate. They get the same training, the same tools and the same information. The difference is execution. The better performing rep is updating the CRM while the call is finishing. They are sending a follow-up email directly after the call with an action plan. They are making sure that the deal is constantly moving. 

They act on what they already know, at the moment it still matters.

The knowing was never the problem. It was always the doing. 

Reps became the data-entry layer

Ask a rep where their week went and the answer is rarely "selling". 

With this fragmented revenue tech stack, reps spend roughly 70% of their time feeding each tool with data. Updating the CRM. Writing up their call notes (unless their call recorder is accurate). Drafting their follow-up emails. Reviewing each deal and reconciling their forecasts. Each tool was created to make the rep more effective, but with the efficiency gains comes a maintenance cost of time. 

The result is a revenue team where the people hired to sell spend most of their week servicing the systems that were meant to help them do it. Reps have become the data-entry layer for their own tools.

The cost is not just the admin itself. It's the ripple effect of all the things that get displaced. The CRM that is updated from memory on a Friday afternoon. The email follow-up that was sent a couple days too late. The call that nobody thought to review, but actually contained a couple of buying signals that were the making of the deal.

With the pressure of targets and selling into tough markets, it's no wonder why this is all happening. 

Deals erode where execution is not taking place. That's why the best reps don't jump to the next deal - they complete the simple tasks in order to keep the deal alive. 

Cue Overpath

Overpath is the Revenue Execution Layer.

Rather than another tool or platform to add to your stack, Overpath sits above your existing stack and pulls all the data into one context - telling the team what needs to be done next. 

Overpath is not replacing your stack. It is making it work for you and your team, rather than the other way round. The CRM is the system of record, Call intelligence surfaces the deal signals - Overpath uses this data to know what to do next - and does it. 

Here's a typical scenario where a rep is operating without Overpath:
- It's a Tuesday morning and you have a demo call in 30 minutes. 
- You are going through the CRM to find notes about the deal because you haven't spoken to them in a month due to vacation.
- You're looking at the discovery call notes in your call intelligence tool.
- You're looking at your own handwritten notes to see if there is anything you have missed. 
- You've looked up the attendees on linkedin and searched up any significant company news. 
- You have a lot of information, but you're not quite sure what is actually going to move the deal forward. 30 minutes is not enough time to research - especially when you have 6 more calls throughout the day. 

Overpath does everything mentioned above in a matter of minutes - giving the rep 3-4 key action points that they should use on the upcoming call. 

This is not a faster way to inform the rep. The rep was already informed. It is a layer that closes the distance between knowing and doing, on every deal, for every person on the team.

Let's be clear on what Overpath is not

The layer is new, which means most readers will reach for a category they already have. It is worth being direct about which ones do not fit.

Overpath is not a CRM.

A CRM is a system of record. It stores what a rep decided to tell it, in the shape the admin configured, at whatever point in the week the rep got round to it. That is a real job and Salesforce and HubSpot do it well. It is also a job that ends at storage. A record cannot tell you that the economic buyer has not been on a call in three weeks, and adding AI to a system of record produces a better-summarised record.

Overpath connects to the CRM, reads it, and writes back to it. It is not an attempt to replace it.

Overpath is not a call intelligence platform.

Gong, Fireflies, Grain, TLDV and the rest analyse what happened on the call. The analysis is genuinely good - the patterns are real, the coaching moments are real, and a team that reviews them learns something. The constraint is timing. The insight arrives after the moment it could have changed anything, and it arrives as something to review rather than something to act on. Observation is not intervention.

Overpath reads the same calls, and treats them as inputs to the next action rather than as a library to go back through.

Overpath is not a general-purpose AI assistant.

Reps are already using ChatGPT, Gemini and Claude to fill this gap. They are pasting transcripts into a chat window before a call and asking what to do next. Those models are capable and the instinct is sound - the rep has correctly identified that something is missing. But a general assistant answers the question it is asked and then forgets the deal.

It holds no memory of the last three calls, no knowledge of the methodology the team runs, and no standard to hold the rep to. It cannot update the CRM, and it has no view of the deal beyond what the rep remembered to paste. That is a workaround, and reps should not have to build one.

Each of these does its own job well. None of them was built for the layer where execution happens.

Molly - Your AI Teammate 

For years, running revenue meant people feeding the CRM. Logging notes, reviewing deals, chasing updates, deciding what happens next. Now you can hire an AI teammate to run that work.

Molly works across your CRM, calls and inbox. She holds the full context of every deal -what was said on the last call, what is sitting unanswered in the thread, which stakeholder has gone quiet, where the qualification is thin. She analyses deals, flags risks and prompts reps to act, without waiting to be asked.

Each member of the team works with their own personal AI Teammate - not a different set of modules. 

For the rep. Molly drafts the follow-up while the call is still fresh. She updates the CRM. She scores the conversation against the methodology and tells the rep where discovery went shallow. When a deal starts drifting, she says so - before it shows up in a forecast call.

For the manager. The same view, across the team. Not what the pipeline says, but what each rep actually did: which deals are being run to the standard, which behaviours are missing consistently, and where coaching would change the quarter rather than explain it afterwards.

For enablement. The methodology stops being something delivered in a session and starts being something present in the work. The playbook is enforced on every deal, by default, without anyone standing over it. Molly is built on Lennox Academy's native methodology, so the standard she holds reps to is a proven one rather than a generic model - and teams can configure her to their own.

For RevOps. The CRM stays current because updating it is part of the execution, not a task waiting at the end of the week. Clean data stops being a project.

Molly lives where the work already happens: Slack, Google Chat, Gmail, the CRM, and the Overpath web app. There is no new destination to log into, and no adoption programme required to get a rep to use her. The guidance arrives where the rep already is.