I help revenue-focused organisations understand where AI creates the most leverage in their sales, marketing, and go-to-market motion — and what it actually takes to act on it.
Most GTM teams operate with fragmented signals, manual prioritisation, and gut-driven decisions. AI changes the foundation — replacing reactive execution with a system that learns, prioritises, and surfaces the right actions at the right time.
Below are the highest-impact GTM use cases I work through to identify where AI fits your specific motion.
AI continuously analyses closed-won and lost data to surface the attributes that most predict conversion — moving ICP from a static document to a living, self-improving model.
Combine firmographic data, intent signals, and engagement depth to score accounts dynamically — ensuring both sales and marketing focus on the accounts most likely to convert.
AI-driven clustering of your addressable market by behaviour and buying pattern — enabling precise, segment-specific GTM plays rather than broad-brush campaigns.
Aggregate and interpret buying signals from web behaviour, content engagement, job changes, and third-party intent data — triggering the right outreach at the right buying moment.
AI models trained on your pipeline history produce probabilistic forecasts at deal, segment, and aggregate level — replacing gut-based spreadsheet calls with structured, evidence-grounded projections.
Understand which GTM activities — at which stage — actually influence pipeline and revenue, enabling decisions grounded in impact rather than last-touch attribution logic.
The highest-value AI applications in sales are rarely about automation for its own sake — they are about giving reps and leaders better information, faster.
AI-powered qualification models score inbound leads against behavioural and firmographic signals, routing them to the right owner with context — before any manual review is needed.
AI generates contextually relevant, personalised outreach — drawing on account research, industry signals, and persona data — without sacrificing quality for volume.
Automatically analyse call recordings and meeting transcripts to identify objection patterns, competitor mentions, and sentiment shifts — across every conversation, not just sampled ones.
Flag at-risk deals based on engagement decay, sentiment drop, or deviation from successful deal patterns — giving visibility to intervene before a deal goes quietly cold.
AI accelerates the creation of tailored proposals, battlecards, and follow-up content — pulling from your existing collateral and deal context to produce structured first drafts that require minimal editing.
Eliminate manual CRM data entry by automatically capturing activity, updating fields from communication context, and flagging data gaps — so the CRM reflects reality rather than what gets manually logged.
Where AI changes the output-to-effort ratio across demand generation, content, and attribution.
Continuously optimise campaign targeting, bidding logic, and creative mix based on performance signals — reducing wasted spend and improving pipeline contribution without increasing headcount.
AI produces on-brand, audience-specific content across formats — long-form, social, email, ad copy — grounded in your positioning and calibrated to buyer stage. Structured first drafts built on your context, not generic output.
AI-driven keyword clustering, topical authority mapping, and content gap analysis — identifying where to invest editorial effort for maximum organic pipeline impact.
Move beyond one-size-fits-all email sequences. AI personalises send timing, subject lines, and content based on individual prospect behaviour, stage, and engagement history.
Understand the true contribution of each marketing touchpoint across the buyer journey — going beyond last-click to enable better budget allocation decisions grounded in actual influence.
Replace static list-based segments with AI-driven behavioural clusters — enabling hyper-relevant messaging delivered to the right micro-segment at the right moment in their journey.
A structured engagement designed to give you a clear, actionable view of where AI fits your specific GTM context.
A focused 45-minute conversation to understand your GTM model, current toolstack, key revenue challenges, and where you feel the most friction.
I map your specific context against the AI use case landscape — identifying the highest-leverage opportunities based on your stage, resources, and objectives.
You receive a structured view of which AI applications to pursue, in what sequence, and what each requires in terms of data, tooling, and process change.
Continued support as you move from plan to execution — covering vendor selection, prompt design, workflow integration, and measuring what actually matters.
If you are working on a sales, marketing, or GTM challenge and want to understand where AI can genuinely move the needle — I would like to hear about it. A real conversation about your specific context, no pitch.
45 minutes · No commitment · Real conversation