Customer Stories

Iterate, orchestrate, and scale: how Telescoped built a lean, signal-driven GTM engine

When Paul joined Telescoped, he inherited a blank slate: no legacy integrations, no RevOps team. He needed to design a scalable outbound GTM motion from zero, without adding operational drag.

Paul Rios

Head of Revenue Experimentation, Telescoped

IndustryGlobal Engineering Talent Marketplace

Company SizeLean, high-growth startup

FocusBuilding efficient outbound systems without RevOps overhead

GoalTransition from founder-led inbound to repeatable, data-driven outbound

3-5x

Higher open rates than martech benchmarks

Hours → min

Signal research time collapsed

3-tool stack

Evergrowth + HubSpot + DayAI. No tool bloat.

Minutes

New signals and Plays tested and activated, not days

The challenge

A blank slate with no RevOps team

When Paul joined Telescoped, he inherited a rare situation: a completely blank slate. No legacy integrations, no disconnected automation stack, but no RevOps team either.

The mission was simple on paper but complex in execution: design a scalable outbound GTM motion from zero, without adding operational drag.

Using his knowledge of the common trap that RevOps leaders fall into, he resolved not to bolt together half a dozen typical GTM tools, then end up with a bloated and disconnected tech stack.

"You can play with ChatGPT, with Clay and other solutions but then orchestrating all that with band-aids and glue like n8n just wasn't feasible. It doesn't seem scalable to me. It seems brittle."Paul Rios, Head of Revenue Experimentation

The solution

Agentic iteration + orchestrated simplicity

Paul took a pragmatic approach and built an adaptive system around just three solutions: Evergrowth + HubSpot + DayAI. Evergrowth became his signal engine, where he oversees dozens of custom research agents that surface insights on target accounts.

"It's easy as a non-technical user to build a vast amount of Agents, test them, fire the ones that stop producing value, and orchestrate the rest."Paul Rios, Head of Revenue Experimentation

Prototype

Create a new agent to capture an unexplored signal.

Validate

In Evergrowth's Agent Sandbox, test run agents to check accuracy and consistency.

Deploy

Once finished, new Agents are added to existing Evergrowth GTM workflows.

Deprecate

When signals become irrelevant, Paul simply "fires" their Agents and takes them out of the workflows.

Results

An outbound operation that runs like a living system

Telescoped's outbound operation now runs like a living system. By treating AI agents as expert colleagues, not tools, Paul created a rhythm of continuous learning and adaptation that simply wasn't possible before.

3-5x higher

Open rates compared to martech benchmarks

Hours → minutes

Signal research time collapsed dramatically

Minutes, not days

New signals and Plays tested and activated

Zero duct tape

No Zapier chains or n8n orchestration needed

"In previous roles, so much time went into capturing signals, validating them, and synthesizing them into something useful for outreach. Here, it's all done in one seamless operation."Paul Rios, Head of Revenue Experimentation

Looking ahead

The system gets smarter every week

Paul continues to expand Telescoped's agent network, experimenting with new enrichment models, refining orchestration, and pushing personalization further. Each week, the system gets smarter, leaner, and faster, compounding its impact over time.

In previous roles, so much time went into capturing signals, validating them, and synthesizing them into something useful for outreach. Here, it's all done in one seamless operation. Once it's set up, it just hums in the background.