Brand and demand, sales and deals, pricing and retention.
Brand and demand, sales and deals, pricing and retention: three connected parts of one commercial practice. What ties them together is method: we start from the objective you are accountable for, engineer the AI-native process backwards from it, and build it around the team you actually have. Most engagements start in one area and pull in the rest.
The starting point is the outcome you own. Not the tool, and not the process as it currently runs.
Most AI work begins in one of two wrong places. Tool-first: buy the platform, then hunt for somewhere to use it. That scales whatever mess it is pointed at. Process-first: map what you do today and automate it. That just makes yesterday's workflow faster. We start from the outcome you are accountable for and engineer the process backwards from there, to the AI-native version of how the work should run, not the old version with AI bolted on, fitted to the team you actually have.
Start from the objective
Not "where could we use AI". The commercial outcome you own: win rate, cycle time, margin, retention. Everything downstream is engineered backwards from it.
Engineer the process AI-native, backwards
Design how the work should run when AI does the parts it is genuinely good at (reading, drafting, triaging, predicting) rather than bolting AI onto the steps you already had. The new process is usually simpler, not more complex.
Fit it to the team you have
Built around your team's real ability with these tools, not an idealised one, and designed to keep the wider team working through the change. Adoption is a design constraint from day one, not a training afterthought.
The revenue engine runs on information no software could read. Until now.
Finance and the supply chain were engineered decades ago because their information was already structured: rows, ledgers, transactions. The commercial side never was, because its actionable information lives in unstructured form. Customer and partner emails, RFP documents, proposals and spec sheets, contracts, the open web, the recording of last Tuesday's account call. Traditional software could not touch any of it. AI is the first technology that can read it, connect it, and act on it. That is exactly why the largest untapped gains now sit in sales, pricing, and service.
Where your actionable information actually livesBrand · Web · Demand
Be the name the market already trusts.
Before a buyer calls, they form a view of you: from your website, your content, and increasingly from an AI assistant they ask who to consider. We make that view accurate and favourable: the position, the narrative, the website that carries them, and the published authority that gets you named when buyers and their assistants go looking.
Brand architecture and narrative
A defensible market position and the commercial narrative that expresses it, specific enough that a buyer who has seen twenty competitors gets it at once, durable enough to organise everything downstream.
Authority and content
The point-of-view content that builds credibility where buyers and their AI assistants form convictions, published where the research actually happens, structured so the machines read it correctly.
Answer-engine positioning
We map what AI assistants say about you and your category today, fix the sources they read, and move you onto the shortlist they return. Measurable, and faster than buyers expect.
- Answer-engine positioning sprint · 3–6 weeks
- Brand and narrative engagement · 6–12 weeks
- Fractional CMO retainer · 6–12 months
GTM · Sales · Deals
Win more of the deals you are already in.
The commercial motion from first inbound to signature, and the actionable information buried inside it. We find the few points where AI demonstrably moves the number: leads answered in seconds, RFPs and quotes out faster and learning from what won, deals scored on behaviour instead of optimism. Built into the process you run, not a tool beside it.
Objective and deal-cycle map
Start from the number you own, then map where deals slow, stall, and leak, and where the answer is sitting in an inbox, an RFP, or a call recording no one has read.
AI into the deal cycle
Speed-to-lead, RFP and quote acceleration trained on your own winning proposals, deal intelligence across email and CRM. The right tool bought or built on the merits. Vendor-neutral.
Proven on live deals
Validated on real pipeline before it scales, measured against the objective rather than a demo. What works gets rolled out; what doesn't gets cut.
- Revenue AI audit · 4 weeks · fixed fee
- Build & deploy engagement · 3–9 months
- Fractional AI lead · 6–12 months
Pricing · Service · Renewal
Capture the value. Then keep it.
What you charge, and whether the customer stays. The part most firms leave to instinct. We bring pricing logic that holds in the room, and an after-sales motion designed so a won account compounds: service that answers faster, churn signals read early, expansion cues acted on while they are still live.
Pricing intelligence
AI on your own deal history surfaces what the market actually pays, where you under-charge, and where a firmer number would have held. Then the discipline to hold it in the deal.
After-sales and service
A service motion designed for AI triage: faster routing, drafting, and answering, reading the unstructured signals in tickets, emails, and usage that say an account is drifting.
Compounding the account
Churn flagged while you can still act, expansion cues surfaced before the renewal date. The won account grows instead of quietly leaking.
- Pricing diagnostic · 4–6 weeks
- Retention and service redesign · 6–10 weeks
- Embedded partner · 6–12 months
Most engagements start in one area. They grow to need all three.
It is one conversation: the message, the deal, the price, and the service, seen from different sides. We work the whole of it, on one method, with the partner whose domain you need in the room. You work with the partner. We don't hand off.
We engage with the executives who own the outcome. Procurement supports the engagement. It doesn't initiate it.