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The intelligence layer that makes your entire revenue engine perform better.

AI embedded across prospecting, outreach, pipeline, and operations. Infrastructure, not a feature.

Build Your Revenue Growth Plan See Case Studies
  • Humans approve every message
  • AI on the volume work
  • Measured on output lift
The problem

AI is either hyped as a replacement for people or bolted on as a gimmick.

Neither builds revenue.

AI as hype or gimmick
AI without a job to do Tools bought, not used
Unchecked output Off-brand messages

AI without a job to do

Tools get bought for the demo, run without oversight, and produce volume nobody trusts, or sit unused after the pilot.

AI work that lifts revenueNovelty
With AI for revenue
AI as infrastructure Embedded at every stage
Humans approve Measured on lift

AI as infrastructure

AI does the research, enrichment, modelling and drafting; people keep the strategy, the message and the final call.

AI work that lifts revenueLift
A robot firing paper planes from a cannon at an empty city

Automation that replaces judgement

Fully automated outreach sends at scale and gets ignored at scale.

A shiny prototype gathering dust on a shelf behind glass

Pilots that never reach production

A promising experiment never makes it into the daily work of sales and marketing.

A printer spilling pages with scribbled, crossed-out text

Output nobody can trust

Without prompts, guardrails and review, AI copy drifts off-brand and off-fact.

Our approach

AI where it earns its place.

Salesable embeds AI across every stage of the revenue engine, making prospecting sharper, outreach more relevant, pipeline more predictable, and operations faster, with people owning judgement and quality.

AI at scaleResearch, enrichment, modelling and drafting across the engine.
Human judgementStrategy, message and the final quality call stay with people.
A faster, smarter engineMore output per rep, with quality people sign off.
How it works, in four stepsStep by step
Step 1

Run a Revenue AI Audit to find the highest-value applications.

Every stage of the engine reviewed for where AI will lift output most.

Step 2

Build the models, prompts, and workflows.

Intent models, prompt systems and automations built for your stack.

Step 3

Keep humans in the loop on strategy and messaging.

People approve what reaches a buyer and decide what matters.

Step 4

Measure the output lift, not the novelty.

Each application judged on productivity and pipeline, not on how new it is.

Success metrics

Measured on output lift, not novelty.

We don't report on how many AI tools are switched on. We report on what they changed for your reps, your pipeline and your time.

Your AI for revenue scorecardTargets agreed at kickoff
Tracked in your CRM
ProductivityTarget
2–3x

Productivity lift per rep

Output per rep before and after AI, measured on the work that leads to pipeline.

Baseline at kickoffWith SalesableTarget range
PredictabilityTarget
25%better

Pipeline predictability improvement

How much more reliably the pipeline and forecast behave.

TimeTarget
40%+

Time saved on research and ops

Hours given back to selling from research and operations work.

QualityTarget
100%

Personalisation quality at scale

Relevance of messages at volume, checked by people.

Where each metric sits
  1. Stage 1AuditTop uses ranked
  2. Stage 2BuildModels live
  3. Stage 3Review100% human-approved
  4. Stage 4Lift2–3x output
Targets agreed at kickoff Every metric tracked in your CRM Reviewed with you every month
Capabilities

Nine ways AI works across your engine.

Each capability puts AI on one part of the revenue engine, with people deciding what goes out.

Find

AI Prospecting

Find and enrich in-market accounts at scale.

Account discovery and enrichment that would take a research team weeks.

DiscoveryEnrichment
Predict

Buyer Intent Modelling

Predict which accounts are moving to buy.

Models that combine fit and behaviour to rank accounts by likelihood to buy.

IntentScoring
Personalise

AI-Powered Outreach Personalisation

Relevance at scale, human-approved.

First lines and messages drafted by AI and approved by a person before they are sent.

PersonalisationHuman approval
Make it reliable

Prompt Engineering

Systems that make AI output reliable and on-brand.

Prompt libraries and guardrails that keep output accurate, consistent and in your voice.

Prompt librariesGuardrails
Sell faster

Sales AI

Accelerate research, personalisation, and follow-up.

Tools that cut the research and admin time around every sales conversation.

ResearchFollow-up
Market faster

Marketing AI

Scale content and campaign operations.

Faster content production and campaign operations, with editors owning the final word.

ContentCampaign ops
See risk

Pipeline Intelligence

Surface risk and opportunity in the pipeline.

Signals that flag stalled deals and hidden opportunities before the forecast call.

RiskOpportunity
Automate

Workflow Automation

Remove manual handoffs across the engine.

Automations that move work between tools and teams without manual handoffs.

HandoffsIntegrations
Start here

Revenue AI Audit

Assess where AI will most improve your revenue engine.

A structured review of where AI will lift output most, and where it won't.

AssessmentRoadmap
AI + Human workflow

AI does the volume. People do the judgement.

AI does the volume: research, enrichment, modelling, drafting. Humans do the judgement: strategy, message, and final quality.

AI · at scale

Research, enrichment, modelling, drafting

The repetitive, high-volume work across every stage of the engine.

Researching and enriching accountsDone
Modelling buyer intentDone
Drafting personalised messagesDone
100%
People · judgement

Strategy, message and final quality

People decide what to say, to whom, and whether it is good enough to send.

Set the strategyWhere AI is pointed, and why.
Own the messageWhat reaches a buyer.
Approve the qualityNothing goes out unchecked.
A faster, smarter revenue engineWith people accountable for every output.
Strategy setMessage ownedQuality approved
Deliverables

What lands in your hands.

Five working systems, each one built to lift output and checked by people.

Assessment + roadmap

Revenue AI Audit

Where AI will most improve your revenue engine, ranked by impact and effort.

Scored accounts

Intent models

Accounts ranked by fit and behaviour, refreshed as signals change.

Live workflows

AI-assisted workflows

Research, drafting and handoffs automated, with a person checking each output.

Human-approved

Personalisation systems

Personalised messages at volume, each approved by a person before it reaches a buyer.

Across the engine

Automation across the engine

Manual handoffs removed between prospecting, outreach, pipeline and operations.

Get in touch

Make your revenue engine faster and smarter.

Start with a revenue growth plan. We'll show you where the engine is leaking and what to fix first.

  • Diagnostic before build
  • Senior operators
  • Validated metrics only
Build Your Revenue Growth Plan

No. AI does the volume: research, enrichment, modelling and drafting. People do the judgement: strategy, message and final quality.

With a Revenue AI Audit, to find where AI will most improve your revenue engine before anything is built.

Prospecting, outreach, pipeline and operations, including intent modelling, outreach personalisation, pipeline intelligence and workflow automation.

With prompt engineering, which makes AI output reliable and on-brand, and with a person approving messages before they reach a buyer.

On output lift, not novelty: productivity per rep, pipeline predictability, time saved on research and operations, and personalisation quality at scale.

Yes. AI runs underneath every Salesable engagement, accelerating the research and workflow behind human-led execution.