AI Implementation Advisory

I don't sell AI futures.
I implement what
actually works today.

Boutique advisory for scaling technology companies navigating AI adoption. Strategy, positioning, and practical AI tooling — built on 30 years of enterprise technology experience and a deep intolerance for hype.

Explore the AgentModal Operating Model See our work
30+
Years in Enterprise Tech
18
Years at Microsoft
Start-up
to Scaling
Working with
The Challenge

Most AI initiatives stall before they deliver value.

Scaling technology companies face a common set of obstacles when attempting to adopt AI at pace. The problem is rarely the technology — it's the absence of a structured commercial and operational framework to deploy it effectively.

01
Too much theory, not enough execution
Vendors sell futures. Consultants produce decks. Neither delivers working AI in your CRM, your pipeline, or your customer conversations.
02
Go-to-market built for a pre-AI world
Buyer journeys have changed fundamentally. Sales and marketing frameworks designed for 2015 are misaligned with how enterprise buyers make decisions today.
03
Complexity obscures the vital few actions
Founders and commercial leaders are overwhelmed with options. The highest-leverage moves — the ones that actually drive revenue — are buried under noise.
04
Ecosystem lock-in limits optionality
Proprietary AI features trap data in closed systems. Open standards — Dataverse, MCP, Graph — are the infrastructure that gives you genuine choice.
See the full 11-stage buyer journey The complete operating model — where your buyers are before you know they exist, and what to do at every stage.
Jump to the model
Approach

Translate complexity into the vital few actions that actually drive results.

Influenced by Hoshin planning, Covey's principle of focus, and 30 years of watching what actually moves enterprise deals — this is advisory built on pattern recognition, not hypothesis.

1
Diagnose before prescribing
Every engagement begins with a structured commercial audit — pipeline health, buyer journey alignment, AI readiness, and data architecture. No generic frameworks applied without evidence.
2
Build on open standards
Microsoft Dataverse, Model Context Protocol, and Microsoft Graph are the infrastructure layer. AI platforms connect on top. Your data stays yours and stays portable.
3
Deploy proven commercial frameworks
The AgentModal GTM Operating Model is an 11-stage buyer journey methodology with defined Digital Twins, Letters of Understanding, and measurable stage gates — built for B2B enterprise sales.
4
Execute at the pace of a scale-up
No six-month discovery phases. Advisory that produces working demos, deployed tooling, and board-ready strategy within the commercial cycles your investors expect.
Explore the AgentModal Operating Model The full framework — 11-stage buyer journey, Digital Twins, the Betty Test, and the Letter of Understanding — on one page.
Read the operating model
Work

Current engagements across the technology ecosystem.

A deliberate portfolio of advisory engagements with technology start-ups and scaling businesses, spanning commercial strategy, AI implementation, and go-to-market development.

Solgari
AI advisory engagement. Competitive positioning, partner sales motion, and Microsoft Work IQ readiness. Building the open-standards contact centre narrative — Dataverse as the platform-agnostic intelligence layer.
Soft-ex
GTM advisory for communications analytics. Buyer congregation intelligence, enterprise sales framework, and AI-augmented pipeline development.
Binarii Labs
Go-to-market strategy for an early-stage data infrastructure company. Conference presence, community engagement, and enterprise buyer targeting.
Finperiti
Commercial strategy and AI implementation advisory for a fintech scale-up navigating enterprise adoption and regulatory positioning.
Explore the AgentModal Operating Model The full framework — 11-stage buyer journey, Digital Twins, the Betty Test, and the Letter of Understanding — on one page.
Read the operating model
AgentModal ↗

A GTM operating model built for the age of AI-assisted buying.

The AgentModal framework reimagines the enterprise buyer journey for a world where both buyers and sellers operate with AI agents. Eleven stages. Six modules. Built to work with human psychology, not against it.

M1
Market Intelligence & Buyer Congregation
Where your buyers actually gather and what they're asking
M2
Digital Twin & Presence Architecture
Building the authoritative AI-discoverable identity for your company
M3
Pipeline Development & Stage Gate Design
11-stage buyer journey with measurable exit criteria
M4
Letter of Understanding Framework
Structured commercial alignment before proposal stage
M5
Partner & Channel Activation
Ecosystem leverage for scale without proportional headcount
M6
Revenue Operations & AI Tooling
Dataverse, Dynamics 365, and MCP-connected intelligence layer
Core principle
"AI should support, not lead, commercial relationships."
The Decision stage of the AgentModal buyer journey is explicitly human. AI accelerates discovery, surfaces intelligence, and automates follow-through — but the relationship decision remains with people. This isn't a limitation. It's a design choice rooted in how enterprise trust is actually built.
About

30 years in enterprise technology. Zero tolerance for hype.

Independent AI Advisory
Solgari, Soft-ex, Binarii Labs, Finperiti and others
18 Years at Microsoft
Enterprise sales leadership across UK & Ireland
Enterprise Ireland Mentor
Scale-up development programmes
Founder, Paul Mason Consulting
paulmasonconsult.com
Microsoft Ecosystem Specialist
Dynamics 365, M365, Dataverse, Power Platform, Entra

I spent 18 years at Microsoft building enterprise sales capability across the UK and Ireland. I know how enterprise buyers make decisions — the real process, not the process on the org chart.

Since founding Paul Mason Consulting I've worked with technology start-ups and scaling businesses: companies with real products, real customers, and the specific challenge of building enterprise go-to-market without enterprise budgets.

The work is practical. I build demos that run live in real CRM environments. I write frameworks that answer the question "what does Tuesday morning look like." I don't produce strategy documents that sit in a drawer.

The current focus is AI implementation — specifically, how technology companies can build durable competitive advantage using open standards like Microsoft Dataverse and Model Context Protocol, rather than betting on proprietary vendor features that lock them in.

"I help founders turn innovation into enterprise value by translating complexity into effective strategy — using proven frameworks that work with the human condition to focus on the vital few actions that actually drive results."
Contact

Start a conversation.

If you're a founder or commercial leader at a technology scale-up navigating AI adoption, I'd like to hear what you're working on.

Email
[email protected]
Website
paulmasonconsult.com
Location
Ireland
Enterprise Ireland

Paul is an active Enterprise Ireland mentor working with scale-up companies on commercial strategy and AI adoption. If you're an EI client company, mention this when reaching out.