# AI-First GTM Stack Overview **Enterprise-Ready. Salesforce-Native. Built to Scale 5x Leaner.** ## Strategic Objective from Day 1 **AI-First GTM: Delivering Enterprise-Grade Revenue Execution with 80% Less Headcount** A fully integrated, Salesforce-native GTM machine designed to close multi-million euro pipeline with just 50 people — not 250. ## Key Outcome We’re building a GTM engine that doesn’t just scale — it outperforms traditional organizations by embedding AI into every commercial motion. From Day 1, this approach will: - Unlock **€X–YM** in pipeline within 90 days by targeting only in-market buyers, identified through intent data and predictive scoring. - Replace **70% of repetitive sales and marketing tasks** with AI — freeing humans to focus on trust, value, and velocity. - Enable every rep, marketer, and partner manager to operate like a team of three — with AI-powered content, Einstein forecasts, and automated workflows. - Run **one integrated revenue engine** on Salesforce — no fragmentation, no handoffs lost, no missed signals. - Prove traction fast — with early customer wins, clean forecasts, and a measurable efficiency narrative investors can scale. ## Why This Wins This isn’t just a leaner GTM model — it’s a fundamentally smarter one. We’re not using AI to optimize legacy. We’re using it to replace it — and build the new standard for how modern GTM teams execute at enterprise scale. ## Core GTM Stack & Capabilities | **Function** | **Tool** | **AI Capabilities** | **Task Replaced** | **Efficiency Gain** | |---------------------|-------------------------------|-----------------------------------------------|--------------------------------------------------|-----------------------------| | Sales / AEs | Salesforce SalesCloud | Einstein Forecasting, opp scoring | Pipeline guesswork, manual updates | +25–30% accuracy | | BDR / SDR | Salesforce Sales Engagement | Einstein lead scoring, GPT email generation | Account research, outreach writing | 2 SDRs = work of 5 | | Marketing | Pardot (Account Engagement) | GPT subject lines, dynamic content | Newsletter, form setup, segmentation | 1 = output of 3 | | ABM | 6sense (native integration) | Predictive buying stage + ICP scoring | Cold outbound inefficiency | 2x–3x outbound productivity | | Partner Mgmt | Salesforce PRM | GPT onboarding, QBR generation | Partner decks, onboarding docs | 3x partner coverage | | Sales Enablement | Agentforce + GPT APIs | Battlecards, post-call recaps, follow-ups | AE prep, CRM hygiene | Saves 3–5 hrs/week/rep | | RevOps | Tableau CRM + Gong | Forecast insights, call scoring | Manual spreadsheets, coaching setup | 3–4x support coverage | --- ## Strategic Advantages - **Enterprise-Ready from Day 1**: Built entirely on Salesforce, with auditability, compliance, and scale baked in. - **Lean & Efficient**: AI does the low-leverage work; humans focus on relationships and strategy. - **Real-Time, Signal-Based GTM**: Only pursue in-market buyers using 6sense + Salesforce insight loops. - **No Tech Bloat**: One system, one data model, one source of truth. --- ## Focus: First 90 Days ### Phase 1 (Days 1–30): Set Foundation - Deploy Salesforce stack (Sales, Pardot, PRM, Tableau) - Integrate 6sense, Gong, Agentforce - Hire core GTM team: - X AEs - Y SDRs - Z Marketer *(Roles based on business plan ambition)* --- ### Phase 2 (Days 31–60): Run Pilot - Target X–Y named accounts - Launch first AI-powered campaigns and sequences - Track: - Intent → Opp conversion - AI forecast vs actual pipeline delta --- ### Phase 3 (Days 61–90): Prove & Scale - Automate dashboards in Tableau - First QBRs via PRM + Agentforce - Pipeline target: - €X–YM - XY% from in-market leads *(Aligned with business plan and revenue goals)*