🎬 Demo Conversion Pro — The 45-Min Demo That Advances 70%+ Of Deals

Demo Plan: FinTech Series B — VP Eng + 2 Sr Eng + Head of Platform + CTO observing

A demo conversion plan produces outcome-anchored structure replacing feature-tour demos. Based on 2,000+ demo analyses, top-quartile AEs (70%+ advance) share 5 traits: discovery-integrated openings, 3-5 key moments (not 15 features), stakeholder-specific segments, proactive objection pre-empts, and specific next-step closes. Your situation — qualified opportunity with defined pain, 5 stakeholders with different concerns, competitive context (Graphite/Qodo/build-in-house), 6-week timeline to decision — is exactly where disciplined demo structure separates 70% advance rates from 40%. This plan produces the 45-min demo with minute-by-minute structure, 3 specific 'tell-show-tell' moments, stakeholder-tailored depth, and pilot-booking close.

Pre-Demo Prep (60 min before demo)

Research:

• Review discovery call notes again (fresh in mind)
• LinkedIn-check each attendee: Priya (hiring posts, public content), Rajiv/Chen (GitHub activity if visible), Marcus (platform strategy interests), Oleg (CTO public posts)
• Check company's public GitHub org (if any) for tech stack + coding patterns
• Recent company engineering blog posts

Technical setup:

• Demo environment: clean, pre-loaded with code samples similar to their stack (FinTech = likely Python, Go, TypeScript)
• Test Zoom/Meet connection, screen sharing
• Backup offline demo video ready (in case of internet failure)
• Mute Slack, email, notifications
• Browser: only demo tabs open

Materials to have ready:

• Vercel case study (1-pager, ready to screen-share)
• Linear case study (ready if needed)
• Security + data handling one-pager (for CTO/data privacy concern)
• Pricing sheet (only if asked — don't lead with this)
• Pilot proposal template (to share at end)

Demo Structure (45 min)

• 0-5 min: Opening (recap + agenda)
• 5-35 min: 3 key moments (10 min each, tell-show-tell)
• 35-40 min: Specific stakeholder Q&A
• 40-45 min: Close + pilot proposal + next step

Opening (Min 0-5)

Opening script:

'Thanks everyone for making time — quick round of hellos: 
- Priya, great to see you again.
- Rajiv, Chen, Marcus — new to me, thanks for joining.
- Oleg, appreciate you hopping on.

Quick recap of what I understood from our call last week, Priya —
correct me where I'm off:

1. Senior engineers at [company] are spending ~30% of week on PRs.
   Want that down to ~15% so they can focus on building.
2. Merge times are ~32 hours. Ideal would be under 16.
3. Team is scaling from 45 to 70 in 12 months — code review workload
   will increase further unless something changes.
4. Timeline: want a tooling decision in 6 weeks.

Sound right?'

[Wait for Priya to confirm or adjust]

'Given that, here's what I'll cover in the next 40 minutes:
- How we handle the routine 70% of review work automatically
- How the judgment-required 30% surfaces for senior engineers
- How this integrates with your GitHub workflow (no process change for team)

I'll stop every 10 min or so — always push back, ask questions, redirect
to what matters for [company].'

Why this works:

• Addresses each stakeholder by name
• Recaps their pain in their language
• Confirms understanding before demoing
• Sets expectations (3 specific moments, not 15 features)
• Invites interruption (shows confidence + makes it conversation)

Key Moments (Min 5-35) — 3 Moments, Tell-Show-Tell

Moment 1 (Min 5-15): Automated Routine Review

TELL (1 min):

'First — the big unlock. About 70% of PR reviews are routine: style issues, common bug patterns, test coverage gaps, naming conventions. These don't require senior judgment but they consume senior time. Let me show you what happens when those are handled automatically.'

SHOW (6 min):

Share screen, demo environment:

• Open a realistic FinTech-ish PR (pre-loaded)
• Show the AI pass — 47 comments, 40 auto-resolved for style/lint/tests
• Zoom in on 3 real examples: formatting, missing error handling, missing test case
• Show the auto-resolve: code fix suggested, one-click apply
• Flip to the 7 remaining issues flagged for human review

TELL (3 min — specifically tied to their data):

'Here's what this means for [company] specifically. Rajiv, Chen — if this was your team's PR, those 40 auto-resolved issues would have taken you how long to manually review + comment on? [Let them estimate. Typically 20-40 min.]

'Multiply that across your ~120 PRs per week. We saved Vercel's team about 12 hours of senior-engineer time per week per engineer. At [company]'s 10 senior engineers, that's 80-120 hours of engineering time back per week.'

Watch for reactions:

• Rajiv/Chen: technical plausibility? If skeptical, drill into one flagged issue to show quality
• Priya: business math? If nodding, she's calculating the ROI
• Oleg (CTO): security/data concerns? If frowning, pre-empt in Moment 2

Moment 2 (Min 15-25): Data Privacy + Security (CTO-Targeted)

TELL (1 min):

'Second — Oleg, I know for FinTech code = IP, and that's non-negotiable for any tool touching your repo. Let me show you exactly how we handle that.'

SHOW (7 min):

Share screen, security documentation:

• Architecture diagram: code never leaves your infrastructure (on-prem or VPC deployment options)
• SOC2 Type II certification (current + publicly verifiable)
• GDPR-compliant, SOC1, PCI-DSS coverage
• No training data leakage: your code patterns stay yours
• Audit logs: every AI decision is reviewable + explainable
• Role-based access control (integrates with your SSO)

Switch to demo environment:

• Show the audit log for a real PR: which rules fired, why, when
• Show the SSO integration (pre-configured with example Okta)

TELL (2 min — tied to FinTech specifics):

'For FinTech-specific concerns — SOC2 for auditors, SOX compliance for public companies, and the option to deploy fully on-prem if you're handling especially sensitive data.

Oleg, does this address the data/IP concerns you'd want to validate, or are there specific ones I should dig into?'

Why this moment:

• Pre-empts CTO's likely objections (data privacy, IP)
• Shows depth (not just a sales pitch)
• Invites Oleg to voice concerns + ensures he feels heard

Moment 3 (Min 25-35): Learning From Their Codebase

TELL (1 min):

'Third — this is where we differentiate from generic static analysis or broad AI tools. The tool gets better the longer it runs in your codebase because it learns your team's specific patterns.'

SHOW (6 min):

• Show: team-specific rule library that develops over 30 days
• Show: custom policies (e.g., 'all database queries must use parameterized statements')
• Show: how PR comments become team-wide learning
• Show: integration with your existing PR template + review process (no workflow change)
• Show: the GitHub experience (not a new tool to learn — comments appear in standard PR review UI)

TELL (3 min — connecting to their pain):

'Priya — your specific situation of scaling from 45 to 70 engineers in 12 months is where this compounds. Without a learning system, new hires need senior engineers to teach conventions. With this, the tool codifies the conventions + new hires get real-time feedback automatically.

'Translation: your existing senior engineers don't need to onboard 25 new engineers the same way they've been. That alone could be worth another 5-10 hours/week of senior engineer time back.'

Stakeholder-Specific Segments (Min 35-40)

Address each stakeholder's specific concerns:

For Priya (VP Eng — primary buyer):

'Priya — based on what you've seen, what would a successful pilot look like? What would you need to see in 2 weeks to be confident this solves the scaling problem?'

For Rajiv + Chen (Senior Engineers — will use day-to-day):

'Rajiv, Chen — engineers can be skeptical of AI reviewing code. Fair. What would make this tool feel like a useful colleague vs. noise?'

For Marcus (Head of Platform — tooling strategy):

'Marcus — how does this fit with other platform tooling you're evaluating or using? Any concern about tool proliferation?'

For Oleg (CTO — observing, economic buyer):

'Oleg — beyond what we covered on security, anything that would be a deal-breaker or need more validation from your side?'

Objection Pre-Empts

Expected objections based on your concerns:

Objection 1: 'We'll just build this in-house'

Pre-empt: 'This is one of the most common questions. Vercel evaluated building internally — estimated 2 senior engineers for 8 months + ongoing maintenance. 6 months after their build, external tools had leapfrogged their in-house. Not saying that's your situation — but the build-vs-buy calculus has shifted recently with the pace of model improvements.'

Objection 2: 'Engineers won't trust AI-reviewing code'

Pre-empt: 'Real concern. Two things help: (1) the tool defers to humans on anything non-trivial, (2) engineers can override or train the tool when it's wrong. Within 2 weeks of a pilot, most teams report engineers actually prefer it because it catches their mistakes before a colleague has to point it out. Data from our customers: 85%+ engineer satisfaction score after 30 days.'

Objection 3: 'Data privacy / our code can't leave infrastructure'

Pre-empt: [Already handled in Moment 2 proactively]

Competitive Differentiation

If Graphite comes up:

'Graphite is excellent at PR stacking + workflow. Different problem than ours — they optimize the human review workflow, we optimize the work itself. Complementary in many stacks.'

If Qodo comes up:

'Good tool, different depth. Qodo focuses on test generation. We focus on the review layer. Some teams use both.'

If 'build in-house':

[Already handled in objection pre-empts]

Close + Next Step (Min 40-45)

Closing script:

'Quick summary:
- We handle 70% of routine review automatically → senior engineer time back
- Security model addresses FinTech IP + compliance concerns
- Learning system accelerates as your team grows 45→70

Here's what I'd suggest as next step. Priya mentioned a decision in 6 weeks.
Way to compress that: 2-week pilot starting [specific date — Tuesday next week].

Pilot scope:
- Deploy in staging environment with 3-5 senior engineers included
- Tool runs on real PRs (no impact on production workflow)
- End of 2 weeks: we review quantitative + qualitative outcomes together
- If metrics show the 12-hrs/eng/week improvement direction, we scope a
  full rollout

Sends us the signal on whether the tool actually delivers for your team
before committing budget. Makes sense?'

[Wait for response]

'Who from your side would own the pilot coordination? Usually works well if
Rajiv or Chen co-own with me.'

[Get commitment]

'I'll send the pilot proposal by tomorrow morning. Priya — should the pilot
agreement go through standard legal or is there a fast-path for evaluations?'

Why this close works:

• Specific date (not 'next week')
• Concrete scope (2 weeks, 3-5 engineers, staging)
• Defined success criteria (quantitative + qualitative)
• Low-risk framing (no production impact)
• Ownership assigned (Rajiv/Chen as co-owners)
• Procurement question surfaces (speeds up contracting)

Technical Setup Checklist

Before demo:

• [ ] Zoom/Meet link tested 30 min before
• [ ] Screen share tested
• [ ] Demo environment fresh, pre-loaded
• [ ] Backup demo video ready (for connection failures)
• [ ] Notifications muted on your machine
• [ ] Browser clean: only demo tabs open
• [ ] Materials ready for screen-share: case studies, security doc, pilot proposal
• [ ] Calendar invite includes: you, Priya, Rajiv, Chen, Marcus, Oleg
• [ ] Names memorized with mental pronunciation

Post-Demo Follow-Up (Within 24 Hrs)

Email to Priya (cc others):

Subject: [Company] + [Your Company] — pilot proposal

Hi Priya, Rajiv, Chen, Marcus, Oleg —

Thanks for the time today. Quick recap of what was discussed, plus the
pilot proposal as promised:

1. Core value confirmed: senior engineer time back (12 hrs/eng/wk target)
2. Security/IP model: SOC2, on-prem deployment option, SSO-integrated
3. Pilot scope: 2 weeks starting [date], 3-5 engineers, staging env

Attached:
- Pilot proposal (2 pages)
- Security + compliance one-pager (for Oleg)
- Vercel case study (reference)

Next step: Priya, when works for a 15-min pilot kickoff with Rajiv + Chen?
I'm open Monday or Tuesday next week.

[Your name]

Key Takeaways

• 45-min demo structure: 5-min opening + 30-min for 3 key moments (tell-show-tell) + 5-min stakeholder Q&A + 5-min close. Not 15 features.
• Each moment anchored to their specific pain (12 hrs/eng/wk saved at Vercel = 80-120 hrs/wk at your 10-senior-engineer team). Their numbers, not generic.
• Stakeholder-calibrated segments: Priya (business math), Rajiv/Chen (technical quality), Marcus (platform fit), Oleg (security + IP). Each gets direct address.
• Pre-empt 3 top objections (build in-house, engineer skepticism, data privacy) proactively during demo. Don't wait for them to surface.
• Close with specific date + scope + success criteria for 2-week pilot. Not 'let's follow up.' Booked next step = 80%+ advance rate.