Articulate. × Equals Five Opportunity Proposition The Five Commercial Toolset Workflow Delivery The Ask

The principles haven't changed. The toolkit has.

A working paper for James and Deirdre. It sets out how KubiqAI lands a £15k Discovery audit, grows it into a £100k programme, and what we'd build to do it.

Selling hasn't changed in thirty years. The toolkit has. Every owner of a £5 to 50m business now feels the pressure to do something with AI. Most of what they get shown is autonomous-bot hype that ignores how senior people actually buy.

KubiqAI answers that. People who have run sales and marketing, using AI on the work it is good at. Small solutions that prove their worth in weeks, not quarters. Low risk, low cost, easy to say yes to.

Agencies sell you people and hours. An AMO sells you a number, then proves it.

KubiqAI starts with a £15k Discovery that pulls the truth out of a company's own data. That earns the £100k programme that follows. AI does the heavy lifting, so the margin holds. The people running it have sold for thirty years. They aren't engineers renting you tools.

Target client
£5–50m
UK firms, about ten years old. Professional services that can't scale, or big-catalogue businesses with thin margin data. Most want to sell inside five years.
The motion
Land → Expand
A cheap, fast insight piece earns the retained programme. The audit is the first half of the work, not a separate cost.
The difference
Practitioner-led
Proven sales and marketing method, with the right tech behind it. Not a toolkit nobody asked for.
The doubt we beat
"AI's a fad"
Every solution is cheap, low risk and measurable. A person stays in the room. AI does the grunt work behind them.

The proposition

KubiqAI is an AI practice for sales and marketing. Built by practitioners, on proven method, with the right tech behind it. It is not another engineering shop with clever tools and no domain knowledge, and not another platform nobody asked for.

We build in phases. Each solution solves one known problem and shows a clear result. They don't have to join into one platform on day one. Each earns its place by working first.

What we won't sell. No autonomous lead-gen. No bots cold-blasting senior buyers. Those models are loud and mostly unproven where it counts: did they engage anyone, did they make any money. We point AI at the work it is good at, the analysis and the drafting, and keep a person on the relationship.

The five point solutions

Each solves one known problem and starts small. Each is tagged Built (Articulate has it already, ready to resell or drop in) or Co-build (the JV and shared-IP conversation). Across the five they cover the whole revenue cycle, from getting found to keeping the customers you already have.

01 · BuiltThe Growth Model"What does my marketing actually return, and what growth hits my exit number?"
02 · Co-buildThe Profit X-Ray"Thousands of SKUs, no idea which ones make money."
03 · Co-buildThe Delivery Multiplier"We can't grow. Everything routes through three senior heads."
04 · BuiltGold Digger"A year of revenue is sitting dead in our database."
05 · Co-buildThe Answer"Buyers vet us through ChatGPT now. Are we the reply?"

1 · The Growth Model — the board-room opener

Type in the budget. The model runs the channels and shows the growth curve, and what it does to the company's valuation. It plans the year, and it sells the next engagement. For an owner heading for an exit, it speaks the only number that matters. Build status: Articulate has a v1. Resell or integrate.

2 · The Profit X-Ray — the big-catalogue opener

AI takes their messy sales, cost and product data and hands back a clean margin map, by product, customer and channel. Read-only. Days, not weeks. Measured in pounds of margin found and dead lines to cut. The best opener for a big-catalogue client. Build status: co-build. Strong JV candidate. Not built yet.

3 · The Delivery Multiplier — the margin lever

Take one job a professional-services firm is buried under, such as proposals or pitch production, and treble the output with AI on top of proven method. Tightly scoped. KubiqAI runs it on itself first, which is how the practice holds its margin, then sells the proven thing. Build status: co-build, on ourselves first.

4 · Gold Diggerthe fastest proof

Wake up the dead customer base. AI sorts the list, picks the ones worth a call, and drafts the opener. Their own people send it. No mass blast, because that is the part senior buyers bin. Quick cash, low risk, measured in pounds brought back. Build status: built, and proven on a live client with 2,000 dormant contacts. Fastest way to show AI earns its keep.

5 · The Answer — the forward bet

Factual, sourced content on domains the firm owns, written to get cited inside AI answers. This is where senior buyers now do their first research. Cheap to run, measured in citations and share of answer. Nobody in the UK mid-market has claimed it. Build status: proven on live domains. Co-build to turn into a product.

The commercial model

The five solutions run off one motion. The Discovery gets you in. The retainer is the prize. AI is what keeps the retainer profitable.

StageWhat it isPricePowered by
Land20-day Discovery. Sales and marketing audit, on-site extraction, AI analysis, a board-ready insight hub£15kSolutions 1 & 2 (Growth Model + Profit X-Ray)
ExpandRetained marketing programme. The growth plan delivered and reported every month£100k / yrSolutions 3, 4 & 5, plus the AI delivery layer
RenewThe Growth Model becomes the live report that shows the return every monthRollingSolution 1 as the proof engine
Why it renews. The audit's data Vault and AI brain don't get binned at handover. They are what the retainer is built on. Nothing gets rebuilt to start delivery, and the client watches their own number move every month. That is how a £15k audit turns into a £100k programme.

The toolset

Built to be affordable. Price is a design constraint here, not an afterthought. We spend where it counts, on the reasoning layer, and buy cheap everywhere else. The engineering partner is sized to the price point.

LayerJobTooling (indicative)
Extraction / ETLPull CRM, finance, catalogue and marketing data by API and structured exportn8n orchestration; native connectors for HubSpot / Salesforce / Pipedrive / Dynamics, Xero / Sage / QuickBooks; custom Python for ERP and flat files
The VaultOne structured store per client. The asset, and the repeatable schemaSupabase (Postgres) as the spine; Airtable for v1 and client-facing views
EnrichmentAdd firmographic and contact detail to the baseApollo (primary), Hunter, FullEnrich waterfall
Reasoning / RAGStructure the mess, run the audits, make the Vault answer questionsClaude (Anthropic) for judgement work; local models (Ollama) for high-volume or sensitive passes; pgvector for retrieval
The Growth ModelScenario engine. Budget in, growth curve and valuation impact outWeb app (Next.js) over a transparent model; deployed on Vercel
Visibility (GEO)Produce and track sourced content cited in AI answersReasoning layer for drafting; owned domains; AI-answer monitoring
Insight hubWhere the findings live. A gated client microsite, not a dead PDFHouse CSS + Next.js / static; Vercel; private per-client URL
Build & infraStand it up cheaply and keep it runningVercel + Supabase + n8n on VPS; a South African engineering partner for build-out at the right price point
The architecture. Three layers, the same on every job. Extract into the Vault. Analyse into a brain you can ask questions of. Present in a live hub. Every solution plugs into the same spine, which is what lets the practice grow without the quality slipping.

The workflow

The 20-day Discovery, packaged so a mostly-junior team can run it the same way every time. People on-site for the data and the interviews. AI for the sorting and the first-pass analysis. Practitioners for the judgement and the read-out.

DaysPhaseWhat happensOutput
1–3Scope & accessKick-off, system access, tool-stack inventory, interviews booked, data checklist issuedAccess secured. Vault schema stood up
4–10ExtractOn-site and remote pulls across sales, finance, catalogue and marketing. Interviews capture the head-knowledge no tool can reachA full Vault, structured and unstructured
8–14AnalyseRun the audits: margin, pipeline, CAC and lifetime value, dormant value, AI visibility. AI structures, surfaces and cross-checksThe findings, and the brain you can question
14–18SynthesiseBuild the Growth Model, the ranked recommendations and the retainer roadmap into the insight hubA live insight hub and a board pack
18–20Present & convertBoard read-out from the live hub: the growth gap, the plan, the path. Land the retainerA signed retainer. The hub stays live
The audit lenses that matter most, in the order an owner heading for exit cares about: customer and revenue concentration, profitability and margin, pipeline and conversion, CAC and lifetime value, marketing-spend efficiency, dormant value, digital demand, AI visibility, brand and proposition, team capacity. The first five give you the growth gap. The rest are the ones rivals don't bother running.

The delivery plan

Phased and deliberate. The early steps prove the partnership works before we scale it.

PhaseFocusMove
0 · NowProve the engineStand up the Discovery spine (Vault, brain, hub) on the two ready solutions: Gold Digger (built) and Profit X-Ray (the JV pilot build)
1 · First bloodOne paid DiscoveryRun the 20-day audit with a friendly KubiqAI CEO. The test: a board-ready growth gap and a converted retainer
2 · ProductiseQuality at scaleTemplatise the audit, lock the Vault schema and the hub shell, so a junior team delivers the same result every time
3 · ScaleVolume at marginSA engineering builds out the rest of the solutions. The practitioner bench delivers retainers off the proven playbook

The partnership and build model

PartyBrings
Equals Five / KubiqAIClients, brand, thirty years of sales and marketing, the commercial motion. Deirdre architecting. Part-funds the build
ArticulateDomain expertise, the apps already built (Gold Digger, Growth Model, GEO), build capability, and the productised Discovery method
SA engineering partnerAffordable, capable build-out at a workable price point
SharedJointly-owned IP on what we co-build. KubiqAI takes it to its clients. Articulate uses it with its own. Apps that already exist are a resell or integration conversation

Can we scale the offer and keep the quality?

Yes, because the quality lives in the method, not in a few star people. The same spine and the same audit templates run on every job. A junior team produces senior-grade work, and AI carries the volume. That is what an AI Marketing Operator is for.

What we need from you

  1. Confirm the economics. A £15k Discovery that lands a £100k retainer, as the headline motion.
  2. Pick pilot one. We'd start with Gold Digger, which is built and proves itself fastest, and co-build the Profit X-Ray to test the JV.
  3. Agree the partnership shape. JV, sweat equity, shared IP, and where the South African engineering partner sits.
  4. Name a friendly CEO for the first paid Discovery, so phase one has a real client and a real number.
KubiqAI working paper · v1 · prepared by Articulate (Will, copy) for James Weaver & Deirdre · Equals Five.
Built on the Articulate house pattern. Figures and build-status are indicative, for partner discussion. Client systems not yet inspected.