AI-Native GTM designed for enterprise-level execution
Stratobus sits at the intersection of RevOps strategy and AI-Native execution. We implement revenue engines that capture signals across the full customer lifecycle and enable your team to act on them at scale.
Trusted by forward thinking companies
How many of these apply to you?
This the reality most revenue teams are navigating right now.
Unpredictable pipeline
Your pipeline is driven by one-off efforts that don’t learn from each other. Past and current wins aren’t captured, codified, or built upon for the next cycle.
RevOps occupied by day-to-day chaos
Your RevOps team is buried just "keeping the lights on," leaving them zero bandwidth to actually push the revenue organization forward with modern, AI-Native GTM.
Isolated AI use cases
You are using AI, but you haven't operationalized it. You have isolated chat prompts, but lack the architecture to orchestrate context
Disconnected GTM tools
Marketing, sales, and CS operate on disconnected data with no unified intelligence layer - so the signals that should drive your GTM never surface.
Black-Box Agency engagements
When the retainer ends, so does everything they built - no system, no documented process, and no capability for you left behind.
Orchestrated Revenue Transformation System
Revenue leaders measure success in pipeline, conversion, and revenue. Our data-driven, iterative approach is engineered to move the needle for all three - and by month 12, your team is running the system that sustains it.
Phase 1: Rapid Activation
Lay the strategic foundation while surfacing early pipeline wins.
We move fast - building the strategic blueprint every decision runs on while simultaneously activating inbound and outbound to generate early results.
Map your total market and define your highest-value ICP segments
Build deep buyer persona that capture pains, and buying signals
Test audience hypotheses through inbound and outbound activation
Optimise inbound conversion for a targeted 5× lift Route high-intent visitors to your team before they go cold
Phase 2: Architectural Reset
Rebuild your CRM and data foundation so every workflow that follows performs at its ceiling.
Without clean, enriched data beneath it, no AI system will perform at scale - this phase gets it right before we build on top of it.
Rebuild your CRM as an intelligence-ready foundation
Enrich every contact and account in real time with Clay
Automate conversion workflows, reply handling, and pipeline hygiene
Recover revenue lost to slow cycles and leaking deals
Phase 3: AI Orchestration
Deploy custom AI workflows across every layer of your revenue motion.
With the foundation in place, we build and activate the AI-powered systems that orchestrate your GTM from first signal to customer success.
Rebuild your CRM as an intelligence-ready foundation
Enrich every contact and account in real time with Clay
Automate conversion workflows, reply handling, and pipeline hygiene
Recover revenue lost to slow cycles and leaking deals
Phase 4: Enablement & Handoff
Your team take ownership, trained and certified to run it without us.
We document everything, run hands-on training, and exit cleanly - leaving your team fully equipped to operate the engine independently.
Deliver the full Revenue Engine Playbook - system maps and processes
Hands-on training across Clay, CRM, and campaign strategy
Support hiring and onboarding of an internal GTM Engineer
Complete co-pilot phase, certification, and formal handoff
Testimonials
"Agents handle repetitive tasks so our team focuses on strategy and performance."
Daniel Brooks
Head of Research at Northcap
"Custom models allowed us to adapt strategies quickly and unlock new investment opportunities.”
Michael Turner
Operations Lead at Smartly
"Korus automated our workflows and helped us identify stronger investment opportunities faster.”
John Williams
Portfolio Manager at Investwise
"Research across all our data sources improved decisions and reduced costly investment mistakes.”
Sophia Reed
Analyst at Lumen Capital
"Strong security and governance controls made adoption easy across our regulated finance team."
Emily Watson
Analyst at Brightpath
"Implementation was smooth, letting our analysts automate workflows without disrupting existing financial operations.”
Oliver Bennett
Director of Strategy at Finax
Here’s how we compare
Revenue leaders measure success in pipeline, conversion, and revenue. Our data-driven, iterative approach is engineered to move the needle for all three - and by month 12, your team is running the system that sustains it.
Who we work with
What a working revenue engine looks like in practice
Who we don’t work with
Build or use predefined workflows to manage investments.
Teams looking for an overnight results and one-and-done solutions
Your RevOps team is not capable of investing time in proper implementation of the process.
You know AI should be transforming your GTM motion what, not willing to align data and work on your processes.
You want to own the capability you're building, but looking for shortcuts Instead of Sustainable Growth.
You're ready to commit to a 12-month but you are not ready to adopt and evolve.
Who we don’t work with
If the following resonates, we’d welcome your application:
You lead revenue at a B2B company between $50M and $500M
Your RevOps team is capable but consumed by the day-to-day chaos of keeping the lights on
You know AI should be transforming your GTM motion but haven't found a viable path to implement it
You want to own the capability you're building, not rent it from a vendor indefinitely
You're ready to commit to a 12-month transformation and trust the process
Faq’s
Frequently asked questions
The most descriptive option, covering the core topics of the questions (model, role, length).
A small number of spots open each quarter
