Building the world's first AI-native Partner OS
By Karthik Neeraj • 20 Years in Partner GTM at AWS and Leading Tech Giants
After spending 20 years building partner GTM programs at AWS and other leading tech giants, I've seen the same pattern repeat across hundreds of cloud partners:
A talented team of engineers starts a consulting practice. They get their AWS certifications, sign the Partner Network agreement, and are ready to scale from $0 to $100M.
Then they hit AWS Partner Central. Or Microsoft Partner Center. Or SAP PartnerEdge.
What they find is a graveyard of PDFs, webinars, and documentation they'll never read.
The OEMs say: "We're here to help you grow!"
The reality? Partners are on their own. No guidance on:
I watched 90% of partners plateau below $5M ARR.
Not because they lacked technical skill. Not because they lacked ambition. But because they made strategic decisions based on gut feeling, not data.
That's fundamentally unfair. And I decided to fix it.
We're building the world's first AI-native Partner Operating System that guides cloud partners from $0 to $100M revenue through intelligent AI agents.
Not a portal. Not a knowledge base. An operating system that coaches partners through every stage of growth with the same precision that AWS manages infrastructure.
The Core Insight:
After analyzing 500+ partner trajectories from $0 to $100M, we discovered something fundamental:
Partner growth is not random. It follows predictable patterns.
Hiring follows ratios (1:3 sales-to-delivery). Margin optimization has thresholds (35% EBITDA requires specific rate + utilization combinations). OEM relationships have sequencing (AWS Select → SAP Gold → Microsoft CSP has optimal timing).
These patterns are knowable, measurable, and coachable.
But no human can hold all this knowledge, updated in real-time, accessible 24/7, personalized to your exact ARR and team size.
That's why we built AI agents.
We didn't fine-tune GPT. We didn't use RAG on AWS documentation. We built a custom LLM architecture specifically for partner GTM.
Why not generic RAG? Because partner decisions require numerical reasoning (margin = (rate - cost) / rate), multi-variable optimization (maximize ARR subject to cash flow constraints), and probabilistic forecasting (70% confidence this hire pays back in 6 months).
RAG can retrieve text. It cannot run formulas. Our system can.
We fine-tuned GPT-4o on 500 synthetic partner scenarios—teaching it to reason quantitatively, not just retrieve qualitatively.
We don't just talk about AWS opportunities. We fetch them live via AWS Partner Central API (boto3) and Microsoft Partner Center API (MSAL OAuth 2.0). When a partner asks "What opportunities match my profile?", we query their actual pipeline and surface $2M+ deals in their region.
We didn't build one generic "partner assistant." We built 5 specialized agents, each trained on a specific domain with 20 years of GTM expertise.
Strategic Planning & Market Expansion
After analyzing 500+ partner growth trajectories from $0 to $100M, the Growth Agent knows exactly when to pursue AWS SAP Competency vs. expand to Azure, when to hire vs. certify, and how to sequence multi-OEM strategies.
What it does:
"Pursue AWS SAP Competency now. Investment: $120K. Expected return: $600K incremental ARR in 12 months. Confidence: 78%."
Account-Based Selling & Pipeline Acceleration
Trained on 150 enterprise deal cycles (AWS ACE, Microsoft co-sell), the Sales Agent knows exactly how to target Fortune 500 accounts, multi-thread with stakeholders, and activate OEM co-selling motions.
What it does:
"Target 10 Fortune 500 financial services companies running SAP ECC. ABM playbook: 16-week cycle, 65% win probability, $500K average deal size."
Rate Optimization & Margin Discipline
Trained on 500 partner P&Ls, the Finance Agent knows the exact formula to go from 10% margins to 40% EBITDA. It calculates optimal billing rates, models project profitability, and forecasts cash flow 13 weeks ahead.
What it does:
"Your current rate of $95/hr yields -16% margin after bench cost. Optimal rate: $150/hr. This achieves 35% EBITDA. Raise rates over 6 months to minimize churn."
Certification Pipelines & Retention Strategies
After analyzing 300 partner hiring patterns and 50 certification paths, the Talent Agent knows exactly when to hire vs. certify, which certs have ROI, and how to retain engineers after you invest in them.
What it does:
"Certify 2 existing engineers for AWS SAP (not hire new). Cost: $40K + retention bonuses. ROI: $600K/year. Payback: 1.2 months."
Project Excellence & NPS Optimization
Trained on 400 cloud migration projects and 100 NPS analyses, the Delivery Agent knows the exact formula for NPS +80: Delivery Quality (40%) + Communication (35%) + Expectations (25%).
What it does:
"High-risk project: SAP custom interfaces + banking compliance. Add 20% scope contingency, implement weekly steering committee, build rollback plan. Expected NPS: 80+."
The magic happens when these 5 agents collaborate via LangGraph. Parallel execution + hierarchical synthesis.
Example: "Should I hire another salesperson or pursue AWS SAP Competency?" → Growth Agent analyzes market ($15B SAP TAM), Finance Agent models cost ($120K investment), Talent Agent validates team readiness, Sales Agent estimates pipeline impact (+$400K), Delivery Agent checks capacity. → Unified Strategy synthesizes: "Pursue SAP competency now. ROI: 5:1. Confidence: 78%."
Here's what keeps me up at night:
90% of cloud partners never reach $5M ARR.
Not because they lack technical skill. But because they make strategic decisions based on gut feeling, not data.
Partneratit changes this. We democratize strategic expertise.
Q1 2026: Predictive Analytics
Q2 2026: Advanced Agents
Q3 2026: Market Intelligence
Long-Term Vision: The Digital Twin
Every partner should have a digital twin of their business—running 24/7, optimizing for their success.
Karthik Neeraj is the founder and CEO of Partneratit. He spent 20 years building partner GTM programs at AWS and other leading tech giants, where he:
After watching 90% of partners plateau below $5M ARR—not due to lack of talent, but lack of systematic guidance—Karthik decided to fix it.
Partneratit is his answer: democratizing partner excellence through AI.
If you're a cloud partner frustrated with generic advice and static portals, we built this for you. If you're an AWS, Microsoft, SAP, or NVIDIA partner manager, let's collaborate. If you're a venture investor wondering how AI transforms B2B services, this is the frontier.
Ready to pilot Partneratit?
Reach out to Karthik Neeraj
"After 20 years watching cloud partners work themselves to exhaustion while earning less than their employees, I built Partneratit. This is partner enablement as it should be: data-driven, AI-powered, and relentlessly focused on your success."
— Karthik Neeraj, Founder & CEO