By early 2025, a pattern was emerging at William Reed. Sales teams were losing deals through lack of access to digital expertise. Editorial was producing strong content that wasn't reaching its audience. Digital Marketing held data and tools that could help both - but without the right cross-departmental relationships, that value stayed locked in.

Each team was doing its job. The problem was the space between the jobs. The opportunity wasn't a new platform or a restructure - it was building partnerships between departments that had operated at arm's length, and using technology to make those partnerships productive at scale.

The starting point wasn't a strategy deck. It was honest conversations.

Digital Marketing sat down with sales and editorial colleagues to understand where the friction was. A sales manager was losing deals because he couldn't answer technical questions fast enough. An editor's expert content simply wasn't finding its audience. These were structural gaps that collaboration and technology could close.

With sales, the teams rebuilt the lead pipeline jointly. Improved Pardot sequences filtered out unqualified prospects. Intent-based tracking identified companies on high-value pages, matching IP addresses with firmographic data and triggering real-time Salesforce alerts. Built entirely in-house by the Digital Marketing team - with no external help - they deployed an AI assistant ("Sales Sidekick") inside Microsoft Teams. No new login. No training overhead. Salespeople ask questions in natural language and receive instant answers or ready-to-send client emails. RAG architecture grounds responses in verified company data, eliminating the hallucination risk that undermines many AI deployments. Previously, a question to Digital Marketing meant waiting hours. Now the answer is immediate - saving each salesperson four hours every week, and delivering expertise at the exact moment they need it.

With editorial, the teams co-designed an AI-powered E-E-A-T tool built into the CMS, critical for both SEO and GEO. Editors assess every article for Experience, Expertise, Authoritativeness, and Trustworthiness before publishing, receiving actionable suggestions that support their judgement rather than replace it.

Every solution was embedded in tools teams already used. That is what made adoption immediate and results sustainable.

Marketing's attributed revenue grew from £1.9M to £4.7M - a 147% increase - against a business plan target of£3.2M. The £2.8M net growth is traceable to improved lead qualification, intent-based sales alerts, and the AI assistant that transformed how the team engages with prospects - saving four hours per salesperson per week and eliminating delays that were costing deals.

AgTechNavigator sessions grew from 201,000 to 521,000 - 158% growth - against a target of 380,000, exceeded by37%. Organic search rose 113%, validating the in-house AI editorial optimisation approach.

Every result was achieved by the existing team. Digital Marketing did not expand - it worked smarter, embracing AI to multiply its impact across the business. That is what responsible, practical AI adoption looks like in a publishing business.

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