Demo Prep: Joshua Dent — David & Goliath

Demo Date: TBD (scheduled for week of Mar 2, 2026) Attendees: Luke Scorziell, Pranav, Joshua Dent Prospect: Executive Director, Technology Operations — David & Goliath (El Segundo, CA) Context: Discovery done Tuesday Feb 25. Joshua responded to outreach. Pain: AI adoption failure, SaaS sprawl. This call is the conversion moment.


The Narrative Through-Line

“You’ve already paid for AI adoption. What you haven’t paid for yet is the infrastructure that makes it stick.”

Joshua’s frustration isn’t that AI tools don’t work — it’s that they don’t integrate into existing workflows, so teams revert. The demo proves that the missing piece is a connected system, not better tools.

Demo 1 proves it at the practical layer — SaaS connected, queries answered, workflows changed.
Demo 2 shows where it goes — private cloud, enterprise controls, fully owned.


Demo Architecture (Total: ~20 minutes)

Part 1 — Re-Establish the Pain (2 min) | Luke leads

Don’t assume he remembers everything from Tuesday. Mirror his exact words back to him. This anchors the entire demo.

Script:

“When we talked Tuesday, you said something that stuck with me — tools get bought, teams get trained, and 60-90 days later most people are back to copy-pasting into ChatGPT. What you described isn’t an AI problem. It’s an infrastructure problem. That’s what I want to show you today.”

Purpose: Sets up Demo 1 as a solution to a systems failure, not a product pitch.


Part 2 — Demo 1: The SaaS Copilot (10 min) | Pranav runs live, Luke narrates value

The concept to land:

“Instead of 12 browser tabs and an AI that understands none of them — every tool becomes queryable from one interface.”

Simulated agency tool stack (mirror what D&G likely uses):

ToolRole in demo
SlackTeam comms, client channel threads
Google DriveBriefs, decks, SOWs
Asana or MondayCampaign timelines, open deliverables
Fathom / FirefliesMeeting transcripts — call notes from client sessions
HubSpotCRM, client contacts, deal history
NotionBrand guidelines, agency knowledge base

Note for Pranav: Use realistic dummy data only. No real client names. Pre-test every query the day before.

The “aha” query sequence — run 2-3 max:

Query 1 — Meeting Prep (lead with this):

“What do we know about [Client X] — account history, last call notes, and any open deliverables before today’s meeting?”

Pulls from: Fathom transcript + HubSpot contact + Asana tasks. Response is cited by source.

Luke narrates after result lands:

“This is what your account team currently does manually in 30-40 minutes. It just happened in 10 seconds, and every answer links back to the source.”

Pause. Ask Joshua: “How much time does your team spend doing that kind of prep today?”


Query 2 — Campaign Status:

“What’s the status of our Q1 [Client X] campaign and what’s behind schedule?”

Pulls from: Asana project + Slack thread context.

Luke narrates:

“This is the question that currently requires three Slack pings and a team meeting to answer. It’s instant now — and the Copilot surfaces the bottleneck, not just the status.”


Query 3 — Brief Generation (use only if time permits):

“Draft a creative brief for [Client X] based on our last strategy session and brand guidelines.”

Pulls from: Notion guidelines + Fathom strategy session transcript.

Luke narrates:

“Brief creation was taking 4-5 hours. This produces a first draft in under a minute — grounded in your actual brand context, not a blank template.”


Key moment: After Query 1 lands and Joshua reacts — this is the aha. Don’t rush to Query 2. Hold the space.


Part 3 — The Bridge (1 min) | Luke

Script:

“What you just saw is the foundation. Your existing tools, your existing data — now queryable and actionable from one place. That’s Demo 1. But I want to show you what this looks like when you go further — when the whole thing runs on a private cloud you control.”

Purpose: Transition without pressure. Demo 2 is a door opening, not a upsell.


Part 4 — Demo 2: Platform Teaser (3-4 min) | Pranav leads

What to show:

  • Private cloud deployment — data never leaves D&G’s perimeter
  • Custom model layer — trained on D&G’s own institutional knowledge
  • Enterprise controls: role-based access, data residency, audit logs

What NOT to show:

  • No deep architecture dives — this is 60-90 seconds of concept, not a technical pitch
  • No new use cases — frame it as “the same Copilot, enterprise-hardened”
  • Don’t mention Clarence by name — keep positioning clean

Pranav script:

“Everything you just saw can run in your cloud environment — your AWS infrastructure, your data, your controls. Nothing leaves D&G’s perimeter. This is what the enterprise layer looks like: same queries, full ownership.”

Why this lands for Joshua specifically: He led D&G’s on-prem → AWS migration. He’s InfraGard. He owns information security. Private cloud isn’t just a feature — it’s a trust signal. He’s been waiting for someone to say it without being asked.


Part 5 — Objection Handling (2 min) | Luke leads, Pranav covers security

ObjectionResponse
”Budget is tight / hard to justify""The agencies we work with recover the cost in 6-8 weeks from time saved alone. 120+ hours per month, at a 144K annually in recovered capacity. Our engagement to build this runs $15-30K. The math works — and it gives you a concrete number to bring to the CFO."
"I need internal buy-in before moving forward""That’s exactly the right move — and it’s exactly what our next step is designed for. We can do a 30-minute stakeholder demo for whoever needs to be in the room: strategy, account, C-suite. We make it easy for you to show this internally without it looking like your pitch."
"We’re already evaluating tools""What tools? We’re not a tool — we build the layer that connects them. If you’re evaluating point solutions, this is what makes them compound. We’re tool-agnostic by design."
"We’ve tried AI rollouts before. They never stick.""That’s the problem we exist to solve. The reason it didn’t stick is there was no system behind it. Tools without workflows fail. We build the workflow that makes tools stick — and that’s exactly what the knowledge layer does."
"Security and compliance is a blocker”Pranav takes this — deployment options, data residency, access controls, private cloud pathway. “We can work entirely within your existing security framework. Nothing needs to change.”

Part 6 — The Close (1 min) | Luke

The Ask:

“Joshua, based on what you saw today — does this feel like the right solution to the problem you described? If yes, here’s what I’d propose: first, a 30-minute stakeholder demo for whoever needs to see this internally — strategy lead, CSO, whoever you have in mind. Second, a short scoping session with Pranav to map your actual tech stack so we can scope the engagement properly. We can have a proposal in front of you within a week of that conversation.”

Expand to: Peter Bassett (MD, Integrated Production & Technology) or Brendan Robertson (CSO) if Joshua names someone as the right co-viewer.


Role Split Summary

MomentLukePranav
Opening (2 min)Leads — mirrors pain, sets framePresent, silent
Demo 1 (10 min)Narrates value, asks discovery Qs mid-demoRuns the product live
Bridge (1 min)Delivers transitionSets up Demo 2
Demo 2 (3-4 min)SilentLeads — shows platform, handles all tech Qs
Objections (2 min)Leads — budget, buy-in, adoptionCovers security/architecture objections
Close (1 min)Leads — proposes next stepsSupports

Prep sync with Pranav (today):

  • Align on demo environment and which queries to run
  • Walk through the handoff points — exactly when Luke talks and when Pranav drives
  • Run through the full demo once before the call

Demo Environment Checklist

Pranav owns:

  • Simulated agency workspace with realistic dummy data (no real client names)
  • Tools connected: Slack (or mock), Google Drive, Asana, HubSpot contact, meeting transcript
  • 3 queries pre-built and tested — run through the full sequence day-before
  • Platform teaser: live environment or 60-second visual ready for Demo 2
  • Security/compliance one-pager ready to share post-call

Luke owns:

  • Case study stats memorized: 120 hrs/month, $144K, 4 hrs → 45 min (briefs), 30-40 min → 5-7 min (meeting prep)
  • Discovery notes from Tuesday — pull Joshua’s exact words to mirror back
  • Follow-up email drafted before the call, ready to send within 30 min of ending
  • Deal size framing: 30K range, 90-day implementation

What to Avoid

  • Don’t open with slides. Joshua came inbound wanting something concrete — show the product first.
  • Don’t run more than 3 demo queries. More queries kills the “aha” and turns into a feature tour.
  • Don’t ask “does that make sense?” — ask about his specific situation instead.
  • Don’t mention Clarence by name. Platform = “private cloud deployment.”
  • Don’t oversell Demo 2. It’s a teaser. If he asks for more, that’s the next meeting.
  • Don’t let the security conversation derail Demo 1. Note it, tell him Pranav will cover it, keep moving.

Success Criteria

The call is a win if:

  • Joshua articulates the value in one sentence on his own (without prompting)
  • We get a commitment to a stakeholder demo or proposal conversation
  • We have at least one named stakeholder to expand to
  • Deal size estimate captured: team size + number of client brands confirmed

Key Stats Reference (Memorize These)

MetricValue
Time saved / month120+ hours
Annual value~$144K
Brief: before → after4-5 hours → 45 min
Brief volume increase~10/week → 30+/week
Meeting prep: before → after30-40 min → 5-7 min
Engagement range30K
Implementation timeline90 days

Created: 2026-02-26 | Demo prep for Joshua Dent, D&G | Owner: Luke Scorziell + Pranav