How a Grenney.AI engagement unfolds.
A fast 2-week diagnostic to align the executive team on objectives, surface where AI is already showing up, and map the highest-leverage use cases. Then a series of workstreams that compound — with partnership the constant throughout. Your CMO and CRO at the table, not bypassed.
The marketing operating model — today, and after AI.
One concrete view of what AI compression looks like inside a single function. The same pattern repeats across sales, support, ops, and beyond.
A fast diagnostic, then a series of high-impact workstreams.
Most engagements begin with a 2-week diagnostic — objective setting with the executive team, fast learning, use-case mapping, and a clear read on the existing org chart, tech stack, and budget. After that, the work moves into a sequence of workstreams. Some run in parallel, some in series, and the highest-priority foundations (like the GTM Brain) get the most early investment.
Objective setting.
Executive conversation to deeply understand the corporate strategy, the business problems on the table, the goals, and the KPIs the work needs to move.
Assess where your business is.
Benchmark AI maturity against companies further along the curve. Interview leaders function by function to surface where AI is already showing up and where the unmet opportunities live. Most companies underestimate what their own teams already see.
Map the highest-ROI use cases across functions.
Identify specific transformation use cases across marketing, sales, support, product, talent, and operations. Cost, timeline, technology, ROI. The cross-functional use cases — unified voice across touchpoints, agents that span the journey, account plans that pull from every system — are the ones with the biggest payoff and the hardest internal owner.
Review the org chart, tech, and budget.
Map and understand the current resources. Who has the skillset, who needs coaching, where you genuinely need outside contractors. Understand where you've made technology investments and where the gaps are — which ones you can close, and which you can live with.
Build the GTM Brain — the context layer the AI runs on.
Give the AI a structured understanding of your go-to-market: ICP, positioning, competitive context, customer journey, internal language. That context then propagates across the company — from account planning to content to support to sales enablement to AEO. This is what separates an AI-amplified company from a company that just bought a lot of AI tools. Started early, kept current.
Create personalized account plans.
Leverage the GTM Brain to generate tailored messaging and positioning for each prospect and customer you're going after. Develop personalized assets, even videos, that move them to take action.
Stand up Voice AI agents with a unified brand personality.
Voice is the most expensive channel most companies run — and it's where AI is moving fastest. Support, sales, billing, talent: the use cases compound, and each one independently justifies the investment. The harder design problem is the unified one — a consistent brand personality across every voice touchpoint, low latency, high quality, minimal brand drift. Done right, voice agents set the tone for what the whole company sounds like. The right next workstream for your business depends on where the leverage is.
What this is — and what it isn't.
Each engagement starts the same way: a fast diagnostic and a clear set of named workstreams. From there, the shape evolves with the work. Some wrap when the foundation is in place; many become multi-quarter partnerships as the institutional knowledge compounds. The constant is partnership — I work alongside your CMO, CRO, and other leaders, not above them or around them.
Is
- A single point of accountability for AI on projects of strategic importance
- A defined 2–4 week assessment spike, followed by named workstreams
- Collaborative by default — partnering with your CMO, CRO, and other leaders, not above them or around them
- A parallel track to your existing leadership team's day-to-day work
- Often multi-quarter — institutional knowledge compounds, and that's a feature for your business
- Executive-level access — CEO, leadership team, board if relevant
- A clear handoff at any point — to your team, your hires, or a successor
Isn't
- A signal that your existing executives aren't strong enough
- A directive seat that bypasses your leaders
- A vendor-aligned recommendation engine pointing at one AI stack
- A staff-augmentation arrangement to run pilots
- A substitute for the hard internal conversations leadership needs to have
Ready to talk through the right shape for your business?
A 20-minute call to walk through where AI lives in your business today, where the pressure is coming from, and whether this kind of engagement fits the work in front of you.
Book a 20-minute intro call