ABOUT REVOSYS GTM CONSULTING
Built by a Practitioner, Not a Theorist
Revosys was built on one conviction: most GTM problems are infrastructure problems in disguise. The right architecture — data model, lifecycle, AI layer — built once and built correctly, delivers more than any stack of tools or headcount ever will.
FOUNDER & GTM SYSTEMS ARCHITECT
Sahil Bahri
Sahil spent years inside B2B revenue teams watching the same problems repeat: CRMs nobody trusted, lead handoffs nobody owned, and AI tools layered on top of data models that were broken to begin with. He founded Revosys to fix the infrastructure layer that most GTM consultants skip — the data architecture, the lifecycle design, and the AI-powered automation that actually connects marketing, sales, and customer success into one coherent system.
His work spans the full GTM stack — CRM implementation and architecture on both HubSpot and Salesforce, Clay-powered AI enrichment workflows, Apollo and Braze lifecycle orchestration, and Amplitude product analytics. He has built GTM systems for B2B companies from pre-revenue to Series B, run RevOps audits that uncovered six-figure pipeline gaps, and designed AI workflow layers that run without manual intervention. Every engagement is documented, maintainable, and fully handed off to the client's team.
Connect on LinkedIn →EXPERTISE
The Full Stack of GTM
CRM Architecture
HubSpot and Salesforce implementation — data model, lifecycle design, pipeline discipline, and AI-ready property schema.
Clay & Enrichment
AI-powered waterfall enrichment, intent-driven outbound triggers, and automated account research workflows.
Apollo
Outbound sequencing, lead sourcing, and bidirectional CRM sync without duplicates.
Braze
Lifecycle messaging, event-triggered campaigns, and identity-resolved cross-channel journeys.
Amplitude
Product analytics, funnel analysis, and CRM sync that turns usage signals into pipeline.
AI Workflow Design
AI agent orchestration, intelligent routing logic, and automated enrichment pipelines that compound over time.
HOW WE WORK
Three Principles
Clarity Before Automation
We define the process on paper before we touch the workflow builder. Every engagement starts with written lifecycle stage criteria, handoff rules, and ownership assignments — agreed on by every team involved. Automating a broken process just makes it break faster.
AI Where It Compounds
AI belongs on top of a clean data model — not underneath a broken one. We layer AI into enrichment, routing, scoring, and personalization where it genuinely compounds. The result is a system that gets smarter over time, not noisier.
Built to Be Handed Off
Every system we build is documented, labelled, and designed to be run by your team without us. We write internal wikis, label every workflow with its purpose and owner, and train whoever needs to maintain it. The goal is your independence — not your dependency on us.