Five AI-Enabled Service Offerings

Every offer is a system.
Every system compounds.

Not a menu of services. A progression. Each offering builds on the last — creating intelligence that accumulates, compounds, and compounds again.

01 AI Inventory
02 Knowledge Spine
03 Revenue OS v1
04 Marketing Ops Refactor
05 AI-Native Website
Explore all five →
01
AI Inventory
Map the intelligence already inside your business — before you build anything new.
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02
Knowledge Spine
Give AI the structured knowledge it needs to operate with precision and consistency.
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03
Revenue OS v1
A complete AI-enabled revenue system: CRM logic, pipeline intelligence, automated outreach.
↓
04
Marketing Ops Refactor
Rebuild how marketing runs — from content to campaigns to attribution — with AI embedded.
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05
AI-Native Website
A website that thinks, adapts, and converts — built as an AI-first operating system.
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01
Diagnostic · Entry Point

AI Inventory

Most companies reach for AI tools before understanding what their business actually needs. The AI Inventory is a diagnostic engagement — structured discovery across your operations, workflows, and team — that produces a clear, prioritised map of where AI creates real value.

Artefacts delivered
AI Opportunity Map Task Automation Matrix Effort/Impact Grid Role-by-Role AI Brief 90-Day Roadmap
Typical stack
Process interviews Workflow mapping AI capability audit Tool assessment
Best entry point for
CEOs & Founders COOs Ops leads post-AI curiosity
🔍
Discovery across every function
Structured interviews and workflow walks across your team. We identify what's done manually, what's already automated, and where intelligence is currently missing.
⚡
Prioritisation by impact
Not every opportunity is worth pursuing. We rank every identified use case by effort, impact, and strategic fit — so you know exactly where to start and why.
🗺️
A roadmap, not a report
The output is an actionable 90-day roadmap — specific initiatives, sequenced by value, with the team clarity to execute immediately or hand off for build.
Natural next step
Knowledge Spine — build the knowledge layer AI needs to act on what you've mapped
02
Foundation · Intelligence Layer

Knowledge Spine

AI operates on information. Most businesses have the information — scattered across emails, documents, Notion pages, and people's heads. The Knowledge Spine extracts, structures, and makes that knowledge usable by any AI system you run.

Artefacts delivered
Knowledge Architecture Source Library Prompt Template System AI Context Documents Maintenance Protocols
Typical stack
Notion / Confluence Embedding models Vector search Claude / GPT-4
Best entry point for
Companies with scattered docs Slow onboarding Inconsistent AI outputs
📚
Source extraction & cleaning
We locate and extract knowledge from wherever it lives — Notion, Docs, email threads, recordings — and clean it into structured, consistent formats AI can read reliably.
🧠
Architecture for retrieval
Structure matters more than content. We design a knowledge architecture that lets AI retrieve the right context for the right task — consistently, at scale.
✍️
Prompt templates & protocols
A library of tested prompt templates aligned to your business context, plus maintenance protocols so the spine stays current as the business evolves.
Natural next step
Revenue OS v1 — deploy the knowledge layer inside a live revenue system
03
Revenue · Systems Build

Revenue OS v1

Your CRM is not your revenue system. Revenue OS v1 is the full rebuild — CRM architecture, pipeline intelligence, lead enrichment, automated outreach sequences, and a human-in-the-loop review layer. A complete AI-enabled revenue operation.

Artefacts delivered
CRM Architecture Lead Intelligence Layer Pipeline Workflow Automations Outreach Sequence Templates Revenue Dashboard
Typical stack
HubSpot / Attio Clay Make / n8n Apollo / LinkedIn Claude API
Best entry point for
Sales leaders Founders with pipeline problems Teams post-sales hire
🏗️
CRM rebuilt for intelligence
A CRM that isn't just a database — structured properties, deal stages mapped to real buyer behaviour, and a data model that lets AI reason about pipeline state accurately.
🎯
Lead intelligence at source
Clay-powered enrichment that goes beyond contact data: company signals, buying intent, role-specific context — so every outreach starts with real intelligence, not guesswork.
🔄
Automated workflows with human review
End-to-end automations for outreach, follow-up, and pipeline movement — with built-in human review gates for the moments that require judgment, not just execution.
Natural next step
Marketing Operations Refactor — align top-of-funnel to the revenue system you've just built
04
Marketing · Operations

Marketing Operations
Refactor

Marketing operations built on manual effort doesn't scale. This engagement refactors how your marketing team works at the infrastructure level — content production, campaign management, distribution, and measurement — with AI embedded from the start.

Artefacts delivered
Content Production Engine Campaign Automation Workflows Attribution Model Brand Voice AI Guide Distribution Playbook
Typical stack
Make / n8n Airtable / Notion Claude API Beehiiv / ConvertKit Zapier
Best entry point for
Marketing leads Teams producing too manually Growth-stage businesses
⚙️
Content engine rebuild
A repeatable, AI-augmented content production system aligned to your brand voice — from brief to publish. Less time creating, more time on strategy and distribution.
📊
Campaign operations
Automated campaign workflows across email, social, and paid channels — with trigger logic, segmentation rules, and performance tracking baked in from day one.
📐
Attribution & measurement
A reporting system that connects marketing activity to pipeline outcomes — so leadership can see exactly what's working and make resource decisions with confidence.
Natural next step
AI-Native Website — extend the marketing system into your highest-leverage channel
05
Web · AI-First Infrastructure

AI-Native Website

A website is not a brochure. It's a system. The AI-Native Website engagement delivers a site built to act intelligently — personalised content, adaptive positioning, embedded AI interaction, and performance infrastructure that compounds over time.

Artefacts delivered
AI Site Architecture Personalisation Layer Intelligent Chat System Analytics & Conversion Tracking Content Update Playbook
Typical stack
Next.js / Webflow Vercel / Cloudflare Claude API PostHog / Plausible Supabase
Best entry point for
Companies with static sites High-intent traffic, low conversion Brand-led businesses
🌐
Architecture that adapts
Messaging and positioning that adapts to visitor context — industry, role, traffic source — without manual variation. One system, infinite precision.
💬
Embedded AI interaction
An intelligent chat layer trained on your knowledge, offers, and tone — capable of qualifying leads, answering questions, and creating genuine conversation at scale.
📈
Compounding performance layer
Full analytics instrumentation, conversion tracking, and A/B testing infrastructure. Every visitor interaction feeds back into the system — improving precision over time.
Natural next step
Full system review — re-run the AI Inventory to identify what's next in the expanded system
Cross-Offering Journey

How clients move through the system

Each engagement is complete in itself. Together, they form a compounding progression — from clarity to capability to compound advantage.

01
🔍
AI Inventory
Understand where AI creates real value in your specific business
02
📚
Knowledge Spine
Build the structured knowledge layer that makes AI reliable
03
💰
Revenue OS v1
Deploy intelligence into the system closest to revenue
04
📣
Marketing Ops
Align top-of-funnel to the revenue infrastructure you've built
05
🌐
AI Website
Turn your highest-leverage channel into an intelligent system
Common path A
From scattered potential to compounding system
Most clients start with the AI Inventory to establish clarity and sequence, then move through the stack progressively — each engagement adding a layer of intelligence that makes the next one more effective.
AI Inventory → Knowledge Spine → Revenue OS v1 → All five
Common path B
From a specific pain to full-stack capability
Some clients enter at the point of greatest pressure — a broken sales process, a marketing team drowning in manual work, a website that doesn't convert. We solve that, then map the full picture.
Revenue OS v1 → Knowledge Spine → AI Inventory → Full system
Entry by Role

Where you enter depends on who you are

The right starting point is different for every organisation. Here's where each role typically finds the highest initial value.

👤
Founder / CEO
You know AI matters but don't know where to put the first dollar. You need clarity before commitment.
Typically starts with
AI Inventory — full business map
AI-Native Website — brand & positioning leverage
🏢
COO / Head of Operations
You're running processes that are manual, inconsistent, or hard to scale. You need systems that hold intelligence.
Typically starts with
Knowledge Spine — structured ops knowledge
AI Inventory — identify highest-leverage process automations
💼
Sales Leader / CRO
Your pipeline is unpredictable and your team spends too much time on manual CRM work. You need revenue intelligence.
Typically starts with
Revenue OS v1 — full revenue system rebuild
Knowledge Spine — sales context & enablement layer
📣
Marketing Lead / CMO
Your team creates a lot. But production is slow, distribution is inconsistent, and attribution is murky. You need infrastructure.
Typically starts with
Marketing Ops Refactor — full marketing rebuild
AI-Native Website — conversion & positioning system
🛠️
Tech Lead / CTO
You're evaluating AI infrastructure options and want to build something that holds up — not another POC that never ships.
Typically starts with
AI Inventory — architectural clarity before build
Knowledge Spine — data layer for reliable AI output
🚀
Growth-Stage Team
You're scaling fast and systems are starting to break. You need AI that compounds with your growth, not slows it down.
Typically starts with
Revenue OS v1 — pipeline at scale
Marketing Ops Refactor — top-of-funnel system
Why This Approach

Not a portfolio. A compounding system.

Each offering is complete on its own. Together they create something greater — a business where intelligence accumulates, compounds, and makes every subsequent investment more effective.

The difference
"Most AI projects are islands. Ours are connected."
Each engagement is designed to integrate with the others. The Knowledge Spine makes Revenue OS smarter. Revenue OS informs Marketing Ops. The website surfaces all of it. One compounding system, not five separate projects.
The principle
"Intelligence built once should work everywhere."
When you structure knowledge once — in the Knowledge Spine — it flows into every AI system you run. Into the revenue system. Into the marketing engine. Into the website. The investment compounds across every surface it touches.
5×
Average leverage gain when all five offerings are integrated vs. standalone tools
90d
Typical timeline from AI Inventory to first live system in production
0%
Dependency on AI vendor lock-in — every system is built to be portable and maintainable
1 rule
Humans always in the loop. Every system has review points. No autonomous decisions without approval.
Ready to begin

Start where the value is highest

We'll help you identify the right entry point. A 30-minute conversation — no pitch, no pressure — just clarity on where AI creates the most immediate impact in your business.

Schedule a call → What we build