How to Build a High-Performance AI-Assisted Pre-Sales Team Using On-Prem AI
How GB10 + Gignaati Workbench enable sales humans to close deals faster with real-time AI assistance—securely, privately, and at zero token cost
A Sales Call That Never Feels "Unprepared" Again
Imagine this.
A salesperson joins a scheduled Zoom or Google Meet call with a prospective enterprise customer.
The agenda is clear. The relationship is warm. The opportunity is real.
But this time, something is different.
The moment the meeting starts, an AI agent also joins the call—silently.
It does not speak.
It does not interrupt.
It simply listens.
The salesperson leads the conversation as usual.
But behind the scenes, an agentic workflow is already running.
Salesperson Leads
Human drives the conversation, builds rapport, closes deals
AI Listens Silently
Agent joins meeting, processes conversation in real-time
Instant Assistance
Technical answers, docs, diagrams surfaced on demand
When the Technical Question Comes—AI Steps In
Midway through the call, the customer asks a deep technical question:
"How does your solution integrate with our existing systems, and how does it compare with competitor X?"
This is typically where:
- Salespeople pause
- Pre-sales experts are looped in later
- Momentum slows
But in this new model, the salesperson simply asks the AI agent.
Within seconds:
- ✓The AI Pre-Sales Expert responds with a precise answer
- ✓Relevant architecture diagrams, slides, or documents are surfaced
- ✓Content is shared on screen, rendered securely via an internal virtual environment
- ✓The conversation continues—without friction
The salesperson remains in control.
The AI does the heavy lifting.
This is human-led selling, AI-powered execution.
What Happens After the Call Is Even More Powerful
When the meeting ends, the AI agent does not stop working.
It automatically:
📝 Summarizes the conversation
Key points, decisions, and action items captured
🎯 Identifies objections and buying signals
Sentiment analysis and deal qualification
✉️ Generates follow-up emails
Personalized action items and next steps
❓ Creates FAQs from customer questions
Builds knowledge base automatically
📊 Captures sentiment and product interest
Tracks engagement and feature requests
🔄 Feeds intelligence back into the system
Continuous learning loop improves accuracy
And most importantly: Feeds this intelligence back into the system
Now imagine 10, 20, or 50 salespeople doing this every day.
Each call strengthens the system.
Each conversation trains the AI further.
Each deal attempt improves the next one.
The Architecture That Makes This Possible
This entire ecosystem runs fully on-prem, powered by:
🖥️ Dell Pro Max with GB10
Desk-side AI compute built on the NVIDIA Grace Blackwell platform
⚙️ Gignaati Workbench
A patent-protected agentic workflow layer that connects people, models, data, and actions
On-Prem
No cloud dependency
Zero Token Cost
Unlimited usage
Data Privacy
Never leaves enterprise
Real-Time
Instant responses
Two Sides of the Same System
This is not a tool—it is a team operating model.
Side A: AI / ML & Engineering Team
The Builders
1. Model Selection with Precision
- • Evaluate multiple open and enterprise models
- • Select models optimized for reasoning and stability
- • Test freely without worrying about token costs
2. Curating Sales & Domain Knowledge
- • Product documentation
- • Architecture decks
- • RFP responses
- • Competitive positioning
- • Industry-specific playbooks
3. Continuous Learning Loop
- • New questions enrich the knowledge base
- • Models are retrained or re-indexed
- • Accuracy improves automatically
Side B: Sales & Solutions Team
The Closers
Salespeople do not interact with "models". They interact with capabilities inside Gignaati Workbench:
AI agents for live call assistance
Real-time technical Q&A during meetings
Proposal drafting agents
Auto-generate customized proposals
Competitive analysis agents
Battle cards and positioning
Follow-up and execution agents
Automated post-call workflows
Each agent:
- ✓ Uses trained models on GB10
- ✓ Runs entirely on-prem
- ✓ Costs nothing per interaction
- ✓ Respects enterprise data boundaries
From Sales Calls to Management Intelligence
As this system scales across teams, something powerful happens.
Leadership dashboards start showing:
Frequently asked customer questions
Identify knowledge gaps and training needs
Product interest trends
Track feature requests and market demand
Objection heatmaps
Understand common blockers and concerns
Win/loss sentiment
Analyze deal outcomes and patterns
Content gaps in sales enablement
Discover missing collateral and resources
This is collective intelligence, built organically from real conversations—not surveys.
Why GB10 Changes the Economics of Sales AI
❌ Traditional Approaches
- •Cloud AI → unpredictable costs, data leakage
- •Large on-prem clusters → $500K+ investments
✅ With GB10 + Gignaati Workbench
- ✓Start with a single AI Lab in a Box
- ✓Serve 10–20 sales users immediately
- ✓Scale linearly as adoption grows
- ✓Keep data private
- ✓Eliminate token-based pricing
This is why enterprises can finally operationalize AI in sales, not just pilot it.
What You Are Really Building
Not an AI assistant.
You are building:
- →A high-performance pre-sales organization
- →Where every salesperson is backed by a technical expert
- →Where knowledge compounds with every call
- →Where humans sell—and AI ensures excellence
All from a single on-prem AI system.
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