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.
She’s a nonhuman, agentic Flight Engineer — built to enforce design discipline under pressure: clarify what’s missing, surface risk, and prevent overcommitment before anything is promised.
Define target business + technical outcomes (simplicity, scalability, resilience, future readiness)
Prioritise challenges (complexity, performance limits, operational inefficiency, low visibility)
Apply end-to-end architecture thinking aligned to platform principles
Translate intent + operational goals into practical, modern, automated designs
Define how success is validated postdesign (simplicity, scalability, adoption, AI readiness)
Secure, reliable digital experiences with built-in visibility and assurance.
Poor user experience, limited insight into network health, fragmented security controls.
Identity-aware networking, segmentation, and experience assurance by design.
Consistent, measurable app + user experience with reduced risk.
Design networks where security and assurance are inherent – not bolted on.
Reduced risk and complexity through a unified, platform-based security approach.
Tool sprawl, fragmented visibility, slow detection and response.
Platform security architecture spanning users, devices, apps, and data.
Improved visibility, faster response, lower operational overhead.
Connect security controls into a single coherent design aligned to business risk.
More productive employees and better customer interactions through AI-enhanced collaboration.
Inefficient meetings, poor engagement, limited insight from interactions.
Collaboration experiences designed around people, workflows, and outcomes.
Higher adoption, improved productivity, measurable experience improvements.
Design collaboration solutions that embed AI to improve experience and insight.
Secure, scalable infrastructure capable of supporting AI workloads responsibly.
Unclear AI readiness, performance constraints, security and governance concerns.
AI-ready compute, networking, and security architecture.
Infrastructure that enables AI use cases without increasing risk or complexity.
Translate AI ambition into practical, secure, scalable infrastructure designs.
Simplified, scalable, resilient infrastructure that reduces operational complexity and supports future growth.
Legacy complexity, inconsistent performance, operational overhead, limited visibility.
End-to-end architecture across campus, branch, WAN, and data centre.
Infrastructure that is simpler to operate, easier to scale, ready for AI-enabled services.
Translate growth + operational goals into modern, automated infrastructure designs.
.svg)
.svg)
