Content Intelligence Platform | Case Study | G3NR8

Case Study

PE-BACKED • 17,000+ PEOPLE • 30+ COUNTRIES

From discovery to a working
AI sales and marketing ecosystem

Q: What was built for the global technology firm?

G3NR8 delivered a full AI sales and marketing ecosystem: a centralised content repository with hybrid search, an intelligent content reuse agent with natural language querying, and a content repurposing engine that generates multi-channel outputs from long-form materials. All with brand voice enforcement and audience persona targeting.

G3NR8 surveyed the organisation, mapped 102 AI opportunities, then built and delivered a content intelligence platform. Now in production and expanding.

AI OPPORTUNITIES MAPPED

USE CASES IDENTIFIED

INITIATIVES LIVE

PLATFORM LIVE IN PRODUCTION

The organisation

Global engineering,
technology and
consulting

A PE-backed global engineering, technology, and consulting firm. 17,000+ employees across 30+ countries. Clients across aerospace, automotive, banking, defence, energy, life sciences, and rail. The organisation delivers engineering services, quality assurance, and consulting to some of the world's most complex businesses.

17,000+

EMPLOYEES

30+

COUNTRIES

VERTICALS

BACKED

Discovery

97% AI adoption.
Zero strategic direction.

Before building anything, we ran a discovery sprint across sales and marketing. An anonymous alignment survey followed by 1-to-1 interviews to understand what people were actually doing, what they understood, and where the gaps were.

97%

ChatGPT

86%

Weekly users

78%

Co-Pilot

3.1/5

Understanding

13%

Paying personally

The signal: 13% paying for AI from their own pocket. Upskilling appetite at 4.5/5. 59% wanted an AI steering group. The demand was there. The direction wasn't.

WHAT THE INTERVIEWS UNCOVERED

Knowledge buried, not surfaced

Institutional knowledge lived in people's heads, past projects, and internal docs. Each team member losing 6-8 hours a week searching for information that already existed somewhere in the business.

Content trapped everywhere

Years of valuable content sitting in proposals, case studies, and internal docs with no way to find or reuse it. No central source of truth for what the business actually knew.

Repurposing bottleneck

Turning thought leadership into multi-channel content was manual and slow. The marketing team was overwhelmed trying to package expertise at scale.

Multi-market complexity

30+ countries, 7 verticals, multiple languages. Creating audience-targeted content for each channel and geography was unsustainable.

DISCOVER SURVEY → INTERVIEW → MAP → SCORE → SCOPE

Mapping the opportunity landscape

37 people surveyed. 8 stakeholder interviews. 102 AI opportunities mapped across 7 categories. Scored on impact and complexity. Delivered as a prioritised roadmap.

THE DISCOVERY FUNNEL

37 SURVEYED: SALES & MARKETING TEAMS

8 STAKEHOLDER INTERVIEWS

102 OPPORTUNITIES

11 USE CASES IDENTIFIED

4 DELIVERED

102 OPPORTUNITIES, 7 CATEGORIES

Content Operations

Campaign Mgmt

Knowledge Mgmt

Analytics and Insights

Sales Enablement

Creative Production

Audience Intelligence

DEPLOY INGEST → INTELLIGENCE → AGENTIC

What we deployed

A working content intelligence platform, now in production. Built on OEX, our three-stage deployment framework: Ingest your data as-is, surface Intelligence on top, then automate with Agentic workflows.

Each stage delivers value independently. Together they compound.

Intelligent content reuse

INTELLIGENCE

Natural language search across the knowledge base. Ask a question, get ranked results with source documents cited. The intelligence finds the person, not the other way around.

RAG SEARCH SOURCE CITING RANKED RESULTS

Content repurposing engine

AGENTIC

Select source content, choose output format, set audience persona. AI generates channel-specific outputs in brand voice from existing materials.

LINKEDIN BLOG EMAIL SOCIAL MEDIA

Platform and knowledge base

INGEST

Centralised content repository. Multi-format ingestion. Auth, admin controls. The foundation everything else runs on. Connect to existing content as-is. No cleanup. No migration.

PDF / DOCX / PPTX WEB CRAWLING AUTH + ADMIN

PLATFORM CAPABILITIES

Brand voice

British English, tone guidelines, brand guardrails on all generated content

Customer personas

CIO vs CTO vs Head of Digital: different content, same source material

Multi-format output

LinkedIn, blog, email, one-pagers, social media

Quality control

Flag outdated sources. Admin review dashboard. Self-improving through use

Admin dashboard

Usage analytics, content management, user management, feature config

Model-agnostic

Not locked to any provider. When better models arrive, the platform upgrades

Delivery timeline

Discover, deploy, expand

Discover

Anonymous AI alignment survey (37 responses). Stakeholder deep-dive interviews across sales and marketing. Mapped 102 AI opportunities across 7 categories. Scored on impact and complexity. Delivered a prioritised roadmap.

Build and deploy

Built the full AI sales and marketing ecosystem: content repository, intelligent search, repurposing engine. Brand voice controls, persona targeting, admin dashboard. 6-8 weeks from scoping to production.

Expand

Platform operational with ongoing support. Phase 2 scoped: 12 new capabilities across three batches, including multi-language output, improved search, automated content digests, and source quality flagging. Every enhancement compounds.

In practice

What it actually looks like

The content manager

Needs content for a campaign targeting engineering services. Opens the platform, searches the knowledge base for relevant case studies and credentials. Finds what they need, selects the source documents, opens the repurposing engine, chooses LinkedIn as the output format, sets the target persona.

Minutes, not hours. All in brand voice. Ready to publish.

The sales team

Preparing for a pitch to an automotive client. Opens the content reuse chat, asks what case studies and credentials exist for automotive. Gets ranked results with source documents cited. Selects what they need, generates a summary tailored to a CTO audience.

The intelligence finds the person, not the other way around.

The comms team

Every case study, insight article, and capability document in one place. No more searching shared drives and email threads. The team knows what content the business has and can find it in seconds.

One repository. One search. Everything the business knows, accessible.

WHAT CLIENTS SAY

"G3NR8 helped to create a practical, strategic roadmap that connects directly to our processes. This quickly aligned the whole team, uncovered multiple opportunities, and showed us how to enhance and scale our work with AI."

Discovery client

This engagement went from surveying 37 people to a production platform that a global marketing team uses daily. The discovery created clarity. The build created capability. The ongoing relationship creates compounding value.

Platform, not project. Infrastructure, not software.

Frequently asked

What is an AI sales and marketing ecosystem?

A unified platform that combines a centralised knowledge base, intelligent content search and chat, and automated content repurposing across formats and languages. All governed by brand voice controls and audience persona targeting.

How does G3NR8 run AI discovery?

G3NR8 runs a structured discovery sprint: AI voice interviews, anonymous alignment surveys, stakeholder deep-dives, opportunity mapping, and impact-complexity scoring. For this engagement, 37 people were surveyed, 8 stakeholders interviewed, and 102 AI opportunities mapped across 7 categories.

What was built for the global technology firm?

A centralised content repository, an intelligent content reuse tool with natural language search and source citing, and a content repurposing engine that generates channel-specific outputs from existing materials. All with brand voice controls and persona targeting.

How long did it take?

A couple of weeks for the discovery sprint, then 6-8 weeks for platform build and deployment. Discovery to production in under three months.

Is data used to train AI models?

No. Enterprise API access with data processing agreements means client data is never used for model training. Single-tenant architecture, encryption at rest and in transit, role-based access. You own everything we build. Data deleted at engagement end with a deletion certificate on request. Model-agnostic, deploy in your cloud or ours.

Can this work for other organisations?

Yes. The discovery methodology and platform architecture are designed to be repeatable across organisations with content operations at scale. The platform is configured around each organisation's specific knowledge, brand voice, and workflows.

How is this different from off-the-shelf AI tools?

Off-the-shelf tools don't know your content, brand voice, personas, or positioning. This platform was configured around one organisation's specific knowledge and workflows. It connects to existing content as-is, surfaces intelligence from it, and generates outputs that match the brand. AI that understands the business it serves.