11+ years in Fortune 500 revenue systems. Now building for $2M to $15M B2B firms.

Your stack has 20+ tools. Your CRM is 30% stale data. Your pipeline depends on a few people. I install the AI revenue system that fixes that.

For 11+ years I built mission-critical systems inside American Airlines, JPMorgan Chase, Delta, and Ecolab, the kind of infrastructure where things can't go wrong without real consequences. NexGen GTM brings that same engineering discipline to $2M to $15M B2B firms that can't justify a full RevOps team and shouldn't have to.

What you get:

Live in Weeks, Not Quarters You Own Everything Built Fixed Scope & Timeline Team Handoff + Training Included
Live Demo
NexGen GTM Engine Processing
① Raw List
② Enriching
③ AI Score
✓ CRM Push

Why small and mid-market B2B teams choose NexGen GTM

Enterprise Architecture. The same engineering standards Fortune 500 revenue teams run on.
Built for Speed. Live systems in weeks, not quarters. No enterprise bureaucracy.
Full IP Ownership. You keep every asset, workflow, and line of documentation.
No Lock-In. No retainers disguised as partnerships. Work with us when you need us.
0+
Years in enterprise systems
0
Fortune 500 companies
Weeks
To live, not quarters
0+
GTM tools integrated

Tools & platforms we build with

Instantly
Smartlead
Clay
n8n
Apify
RB2B
Apollo.io
Prospeo
HubSpot
Salesforce
Zapier
OpenAI
Claude
Instantly
Smartlead
Clay
n8n
Apify
RB2B
Apollo.io
Prospeo
HubSpot
Salesforce
Zapier
OpenAI
Claude
Sound Familiar?

Most small and mid-market B2B teams don't have a lead problem.
They have a leak problem.

The mid-market company running on 20+ SaaS tools that barely talk to each other. The founder who can't answer where their best customer actually came from. The sales rep pasting leads from a form into a CRM at 9pm on a Tuesday because nothing is wired together.

These aren't theoretical. They're the operational drags that cost growing businesses thousands of hours and dollars every year: disconnected tools, manual workarounds, no single source of truth.

Enterprises solved these problems a decade ago with RevOps teams and marketing engineering. Small and mid-market B2B companies are expected to do the same work with a handful of SaaS tools and a founder wearing six hats.

Enterprises get the infrastructure. Smaller firms are left to improvise with a handful of tools.

Your GTM strategy looks great on a slide. It breaks down in the field.

Most sales processes are designed at the whiteboard level, without accounting for how reps actually work, how data flows, or where deals stall. The gap between strategy and execution is where revenue leaks.

Your CRM is a graveyard of stale data and missed follow-ups.

Thirty percent incomplete records. Nobody trusts the numbers. Deals fall through cracks that shouldn't exist. Data hygiene falls to whoever has time, which is nobody.

Your tools don't talk to each other, so your team fills the gaps manually.

Marketing sees one number. Sales sees another. RevOps is caught in the middle. Significant budget goes into tools that don't talk to each other, and the gap gets filled with manual workarounds that slow everyone down.

You're spending on outreach but not seeing pipeline.

Tech stack cost: significant. Pipeline attributed to it: unclear. No attribution model, no visibility, no confidence in what's working, or what to cut.

What I Build

Four components.
One system you own.

I install AI revenue systems for B2B service firms doing $2M to $15M. Four parts of one engine, built with Fortune 500 engineering discipline and handed off so your team owns all of it.

The Acquisition Layer

Pipeline that doesn't stop when one person does.

Most of your pipeline runs on a few people doing repeatable work. We move that work into a system, so qualified conversations keep landing whether or not anyone is at their desk.

1. Outbound That Runs Itself

Multi-inbox cold email, AI-personalized at scale, deliverability handled. A signal-based engine that keeps the calendar full while your team stays on the conversations that close.

Clay · Apollo · Instantly · Smartlead

2. Lead Intelligence on Every Inquiry

AI scores every reply and inbound lead by intent, ICP fit, and buying signals, then routes the A-tier straight to your reps. They spend time only on what's worth it.

Scoring lives in your CRM
The Retention Layer

Clean data, and nothing falling through the cracks.

The acquisition layer fills the top. This layer keeps the data trustworthy and makes sure no lead, deal, or customer goes cold from a dropped follow-up.

3. CRM Enrichment That Ends the 30% Stale Problem

Lead, company, and signal data kept current automatically, written back into the CRM you already use. Your team finally trusts the numbers again.

Salesforce · HubSpot · Pipedrive

4. Lifecycle Follow-Up That Never Drops a Lead

Behavior-triggered sequences across cold leads, open deals, and existing customers. Nothing dies at touch three. Nurture, renewals, and expansion all keep moving.

Cold leads · open deals · customers
Where We Start

A stack audit that maps which components close your gap.

Every engagement opens with a diagnostic of your current revenue stack, drawn from how Fortune 500 GTM teams are actually structured. We agree on which of the four components you need first, then install in weeks, not quarters. The system carries the repeatable work, so your team's time goes where it matters most: closing and serving clients.

AI builds and runs the engine. Your team keeps the closing, the renewals, and the relationships.

The GTM Growth Flywheel
GTM
Engine
ICP ResearchClay
Data EnrichmentLinkedIn
Intent ScoringRB2B
AI OutboundInstantly · Heyreach
PipelineGong
CRM & RevOpsSalesforce
The Founder

I know enterprise revenue systems from the inside, not the pitch deck.

For 11+ years I sat inside four Fortune 500 companies, mapping revenue processes, building the systems, and watching firsthand where pipeline leaked. I wasn't advising from a deck. I was inside the machine.

After 11+ years inside these machines, I hit the point where I'd seen the same revenue problems at four different Fortune 500s, and I knew $2M to $15M B2B firms were dealing with the same problems with a fraction of the resources. NexGen GTM is what I built to fix that: the same engineering discipline, for the companies that need it most.

Before I install AI systems for a client, I build them for myself. GTMECareers.com is one of them, an AI-powered platform that categorizes GTM roles across thousands of companies and updates itself with no manual input. When you ask whether I can actually build this, the answer is running software, not a deck.

"I've sat in the seats of the people you're trying to sell to. I know what actually moves a deal."

Work With Wasim → View Wasim's LinkedIn Profile See GTMECareers, an AI platform I built

Career Path

2012-2016
Pegasus Infotech
Business Analyst
SMB / Technology
2016-2022
American Airlines
Senior Business Analyst
Fortune 100
2022
Delta Air Lines
Technical Product Owner
Fortune 100
2022-2024
JPMorgan Chase
Sr. Product Owner / Business Analyst
Fortune 50
2024-2026
Ecolab
Senior Business Process Analyst
Fortune 500
2026 - Present
NexGen GTM
Founder & Product Lead
Currently Building
How It Works

Discovery to Delivered.
Four Phases, Zero Surprises.

You know exactly what you're getting before we start. Every phase has defined deliverables and a clear output you own.

PHASE 01

Discovery

Audit your current GTM motion, tech stack, and data quality. Define ICP, buying signals, and highest-leverage opportunities.

  • ICP definition document
  • Tech stack audit
  • Data quality assessment
  • Engagement roadmap
PHASE 02

Design

Full system architecture: workflows, data model, integration points, automation logic. You approve before any build begins.

  • System architecture diagram
  • CRM data model
  • Automation flow specs
  • Build timeline
PHASE 03

Build

Every component built and connected. Enrichment pipelines, CRM configurations, AI agents, outbound sequences. Full QA included.

  • Live systems in your stack
  • CRM fully integrated
  • Full documentation
  • Team training walkthrough
PHASE 04

Optimize

Monitor, measure, and iterate. What converts gets amplified. What doesn't gets cut. Full ownership and documentation yours.

  • Performance dashboard
  • A/B test results
  • Optimization cadence
  • Final handoff package
What You Get

A functioning system your team can operate on day one.

Plenty of GTM projects end with a slide presentation and a list of recommendations. This one ends with a working system your team owns and runs.

What a NexGen GTM Engagement Delivers

A Functioning System Your Team Owns

A typical engagement includes: ICP definition and account scoring, Clay enrichment waterfall pulling from multiple sources, AI research agent for rep-ready account context, CRM data model cleanup and field mapping, automated outbound sequences, and full documentation so nothing lives in one person's head.

WeeksTo a live system, not quarters
0Manual data entry for reps
FullStack delivered & documented
FAQ

Common Questions

Most engagements start with GTM Tool Integration, because you can't run AI lead gen or strategy work on top of a broken stack. Once your infrastructure is in place, lead generation and AI implementation layer on top. We'll diagnose which pillar to start with on the discovery call.

Most builds ship in weeks, not quarters. Simpler pipelines move fast. Custom AI agents and deep CRM integrations take longer. You'll get a fixed timeline before we start.

Yes. We work with Salesforce, HubSpot, Pipedrive, Dynamics, and Clarify. We work with what you have, not against it, and data cleanup is always included in the build.

That's normal, and exactly what waterfall enrichment is designed to handle. We build multi-source waterfalls in Clay that fill gaps progressively. Accounts that remain incomplete are flagged with a confidence score, not suppressed.

Yes. Team independence is built into every engagement. Every project ships with full documentation, Clay table guides, and a handoff walkthrough. We build systems you'd want to inherit.

Three ways to engage:

Done For You Build. One focused system, fixed scope. We scope it, build it, document it, and hand it off. Built in weeks, not quarters. Good for teams that have a clear gap and want it solved fast.

Growth Engagement. Full-stack revenue architecture. We design the system, build and connect every layer, run testing on messaging, and optimize over the engagement. You end up with a pipeline engine, not a project.

Ongoing Partnership. For companies that need a fractional revenue-systems engineer beyond the initial build. Scope, cadence, and pricing are defined together based on what you're building toward.

Every engagement includes full documentation, a team handoff session, and complete IP ownership. No lock-in. Pricing is scoped to your build on a 30-minute call, so you know exactly what you're getting before we start.

Intent platforms give generic industry-level signals. We build models trained on your historical win data, your ICP, and your specific signal mix. The scoring lives in your CRM, not another tool your reps need to log into.

Discovery call → process design → workflow build → testing and QA → full documentation → handoff. For retainers, we add weekly check-ins, A/B testing, and ongoing iteration. You know exactly what you're getting before we start.

Small and mid-market B2B firms, typically $2M to $15M in revenue, that want enterprise-grade revenue systems without the enterprise-grade budget, team, or timeline. Our Fortune 500 background means you get that quality architecture scaled to your stage, not scaled to a hundred-person RevOps team.

A strategy consultant hands you a document and a list of recommendations. I hand you working automations, an integrated CRM, documented workflows, and a team that knows how to run all of it. You leave with a system you own, not a deck to interpret.

Let's Talk

See where your revenue is leaking,
before you spend a dollar fixing it.

Book a free 30-minute strategy call. We map your current revenue stack, pinpoint where pipeline is actually leaking, and you walk away with a prioritized list of the highest-leverage fixes, whether or not we end up working together.

You'll be talking to the person who built these systems inside American Airlines, JPMorgan, Delta, and Ecolab. If the four components aren't what your stack needs, I'll tell you on the call and point you somewhere better.

No contract · 30 minutes · Only a few builds at a time, so none get rushed

Prefer email? Reach out directly.