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Meet the Pre-Sales Flight Engineer
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Every effective pre-sales motion needs clear design ownership.
The Pre-Sales Flight Academy defines how technical judgement is applied — clearly, consistently, and under pressure.

PRE-SALES TRACKS COMING SOON
BOOK YOUR SEAT IN ADVANCE TODAY!

Pre-sales isn’t about supporting the sale.
It’s about proving the solution can actually fly.

These are execution roles, not personas.
Each role makes authority, responsibility, and decision-making explicit, so AI-assisted pre-sales scales without ambiguity, misalignment, or design drift.

Meet Clara - Flight Engineer

Design before you fly. Prove before you promise.

  • More than just a demo specialist.
  • More than just a product explainer.
  • More than just a data sheet translator.
The Flight Engineer is the most critical role in modern pre-sales.
The Flight Engineer designs the aircraft before it ever leaves the runway.
In AI-led selling, complexity is the risk. Buying decisions are made by systems — security, data, operations, compliance — not by enthusiasm. The Flight Engineer exists to turn ambition into something that can actually operate in the customer’s world.

Cisco 5 GTM Tracks

These Flightpaths are designed for pre-sales technical design sellers to work backwards from the customer outcomes delivered by each Cisco GTM play. The focus is on outcome-led design, platform thinking, and repeatable execution rather than product-level selling. The structure is as follows:

  • Outcome Focus: Define the target business and technical outcomes the customer is trying to achieve, with emphasis on simplicity, scalability, resilience, and future readiness.
  • Customer Problems to Solve: Identify and prioritise the core challenges impacting the customer today, including complexity, performance limitations, operational inefficiency, and lack of visibility.
  • Design Capabilities: Apply outcome-led, end-to-end architecture thinking across relevant environments, ensuring designs are coherent, scalable, and aligned to platform principles rather than individual products.
  • Technical Role: Translate business intent, growth objectives, and operational goals into practical, modern, and automated technical designs that can be executed and adopted.
  • Success Measure: Define how success will be validated post-design, focusing on operational simplicity, scalability, adoption, and readiness to support future capabilities such as AI.

Cisco Track 1

Secure Networking & Assurance

  • Outcome Focus: Secure, reliable digital experiences with built-in visibility and assurance.
  • Customer Problems to Solve: Poor user experience, limited insight into network health, fragmented security controls.
  • Design Capabilities: Identity-aware networking, segmentation, and experience assurance by design.
  • Technical Role: Design networks where security and assurance are inherent, not bolted on.
  • Success Measure: Consistent, measurable application and user experience with reduced risk.

Cisco Track 2

Unified Security

  • Outcome Focus: Reduced risk and complexity through a unified, platform-based security approach.
  • Customer Problems to Solve: Tool sprawl, fragmented visibility, slow detection and response.
  • Design Capabilities: Platform security architecture spanning users, devices, applications, and data.
  • Technical Role: Connect security controls into a single, coherent design aligned to business risk.
  • Success Measure: Improved visibility, faster response, and lower operational security overhead.

Cisco Track 3

AI-Powered Collaboration

  • Outcome Focus: More productive employees and better customer interactions through AI-enhanced collaboration.
  • Customer Problems to Solve: Inefficient meetings, poor engagement, limited insight from interactions.
  • Design Capabilities: Collaboration experiences designed around people, workflows, and outcomes.
  • Technical Role: Design collaboration solutions that embed AI to improve experience and insight.
  • Success Measure: Higher adoption, improved productivity, and measurable experience improvements.

Cisco Track 4

AI-Powered Infrastructure

  • Outcome Focus: Secure, scalable infrastructure capable of supporting AI workloads responsibly.
  • Customer Problems to Solve: Unclear AI readiness, performance constraints, security and governance concerns.
  • Design Capabilities: AI-ready compute, networking, and security architecture.
  • Technical Role: Translate AI ambition into practical, secure, and scalable infrastructure designs.
  • Success Measure: Infrastructure that enables AI use cases without increasing risk or complexity.

Cisco Track 5

Modernising Infrastructure

  • Outcome Focus: Simplified, scalable, and resilient infrastructure that reduces operational complexity and supports future growth.
  • Customer Problems to Solve: Legacy complexity, inconsistent performance, operational overhead, limited visibility.
  • Design Capabilities: End-to-end architecture thinking across campus, branch, WAN, and data centre.
  • Technical Role: Translate business growth and operational goals into modern, automated infrastructure designs.
  • Success Measure: Infrastructure that is simpler to operate, easier to scale, and ready for AI-enabled services.

Trusted by Leaders Everywhere

From global brands to local teams, AI Aviator powers revenue impact at every level.

★★★★★

“AI Aviator made my outreach sharper and more confident. I’m finally spending more time selling, not second-guessing. It’s a massive game-changer for me.”

— Amelia Grant
★★★★★

“For the first time I have visibility into what’s working across my team. The dashboards make it easy to coach where it matters most.” 

— Daniel Price
★★★★★

“We onboarded Partners faster than ever. The activation kits gave us a repeatable way to scale without reinventing the wheel.” 

— Sofia Novak
★★★★★

“I started with the basics and was up to speed in no time. The platform guided me step by step until everything just clicked.”

— Marcus Lee
★★★★★

“I never imagined AI would fit so naturally into my day. The prompts are practical, and I can already see real results from using them.” 

— Hannah Cole
★★★★★

“I value how quickly I can get my team aligned. Everyone is finally telling the same story and moving in the same direction.”

— Owen Clarke
★★★★★

“From setup to execution, the process was seamless. I was producing usable outputs right from day one.” 

— Liam Hughes
★★★★★

“The results exceeded expectations. I cut hours from my prep each week and still improved my messaging quality.”

— Chloe Anders
★★★★★

“It gave me exactly what I needed to succeed — clarity, structure, and confidence in using AI for real selling.” 

— Mohammed Shah

AI-Powered Performance

No fluff

No wasted time

Activate smarter outreach

Sharper messaging

Faster results in 30 days

Just real tools that are fun to use

Start Where Execution Breaks

You don’t deploy AI Aviator everywhere.

You activate it where execution is fragile – and expand only when the next role becomes the bottleneck.