Knowledge Hub

Everything we have written about AI and CRM, sorted so you can use it.

Years of guides on AI, CRM, HubSpot and RevOps, most of it written for the same problem: a business that knows AI matters and cannot find the hour to work out where it pays. Four pillars, real articles, no gated forms.

  • 60+ guides, all free to read
  • Written by the team that builds the systems
  • No email required to read a single page
Why this page exists

Most AI content is written to sell a course. This is written to answer a question.

Search "AI for small business" and you get the same six hundred words rewritten by forty agencies, none of whom have shipped anything. Everything linked from this page was written by people who built the thing it describes: a CRM lead-scoring model, a document-reading agent, a DM inbox that qualifies and books. Some of it is about our own product, LeadSignal, because it is the system we know best and the one we run every day. Most of it is not.

The hub is split into four pillars. Strategy is for the "where do we even start" question — RevOps, attribution, scoring, the shape of the decision before any tool gets chosen. Implementation is for once you have decided and need the CRM, the integration or the automation actually built and wired in. Industry is comparison and buying material — CRM platforms, pricing, what a fair contract looks like. Training is for the team that has to live with what gets built: reporting, adoption, accountability, the habits that make a system stick.

Four pillars

Pick the shelf that matches your question.

Every link goes to a real, published article on this site.

Before you book a call

Questions people ask before working with an AI consultancy.

How much does AI consultancy cost for a small business?

Ours starts at From £1,500 for a two-week AI Opportunity Audit that tells you where AI pays and what it would cost to build. Ongoing work runs from From £3,500 a month for an embedded lead, or From £4,500 for a single fixed-price build. Every figure is published; there is no day-rate quote that changes once you are through the door.

How long does an AI implementation take?

A single automation is usually two to four weeks from a clear brief. A connected system that touches your CRM and a few tools runs six to ten weeks. We build in fortnights and ship each piece as it is ready, rather than holding everything for one big launch.

What happens to our data?

It stays in your systems, in your name. We do not train models on client data, and any AI vendor we introduce is written into a data-flow map before it is switched on, so you can see exactly what it can see and do. Tooling licences transfer to you at the end of an engagement.

How do we measure ROI on an AI project?

Before anything is built we agree the number that will move: hours returned, replies answered, leads booked, days off a debtor cycle. That number is reported monthly against a baseline, so "did it work" has an answer rather than an opinion.

Which AI model should we use, Claude, ChatGPT or Copilot?

It depends on where your team already works and what the task needs, not which one is loudest this month. We are agnostic and have shipped production systems on all three; the AI Opportunity Audit includes a recommendation with the reasoning shown, not asserted.

Do we need a CRM before we can use AI?

Usually yes, in some form. Most of the automations that pay — enquiry triage, scoring, follow-up, reporting — need one system of record to write to. If you do not have one, or the one you have is unreliable, that is often the first thing the audit flags, and it is a smaller job than people expect.

Read enough. Talk about your own backlog.

A 30-minute call to look at what you already have and tell you honestly whether AI is the next move or not.