Most teams feel the symptoms long before they can name the cause — slow turnarounds, inconsistent quality, work that lands flat. So they treat the symptom: hire another writer, buy another tool, add another approval step. The friction just moves somewhere else.
Content operations is the discipline of finding the real bottleneck — in how work is planned, briefed, made, reviewed, published, and measured — and fixing the system instead of the symptom. Pinpoint the weak stage and the team you already have moves faster, reworks less, and ships results you can actually prove.
We run practical training for the people who plan, produce, and review content — built around your actual standards, not generic best practice. The goal is to raise the operational floor, not just the ceiling.
We help content operations leaders make the internal case for investment — through data-backed reports, clear business framing, and messaging that translates content metrics into language that resonates with finance and executive leadership.
We design a structured publishing calendar that aligns content output with business objectives, audience behaviour, and seasonal demand — not just marketing instinct. The calendar becomes a planning tool rather than a reactive log.
We map your end-to-end content process, identify where it breaks down — handoffs, approvals, duplication, unclear ownership — and redesign it with explicit accountability and faster throughput. The output is a documented, implementable workflow, not a slide deck.
We build the governance layer that most organisations skip: who decides what, how quality is maintained, what the content lifecycle looks like from creation to retirement. This is the infrastructure that stops content becoming an unmanaged liability as it scales.
We connect content activity to business outcomes. That means designing the right KPIs, implementing reporting dashboards, and establishing a measurement rhythm so you know — week to week — what to continue, what to cut, and where to invest next.
Ten short explainers on governance, workflow, and how a diagnostic turns into an ongoing managed package, before you look at pricing.
ecm-agent scans your actual content estate rather than relying on self-reporting. Two depths, both fixed scope.
Audits requested before 30 September are free while we take on the first five, in exchange for a recommendation if the findings are useful. The prices below are what this becomes afterwards.
5 to 7 business days · a real sample of your estate
ecm-agent scans a genuine sample of your content, up to 100 items or 10% of the estate. A report of 5 to 10 pages, your top five findings, and one or two shown actually failing in an AI answer. 45-minute recorded readout.
100% credited toward a Full Estate Audit if you sign within 30 days.
Talk about a Snapshot3 to 4 weeks · your whole estate
Every finding family available, scored across your full content estate, and a board-ready report of 20 to 30 pages with a costed remediation roadmap. 90-minute stakeholder readout, plus two weeks of async Q&A.
Talk about a Full Estate AuditAll prices exclude VAT where applicable.
Why AI Amplifies Every Flaw in Your Content Operating System
Building Rules That Scale Without Killing Speed
How AI Changes Every Stage from Creation to Retirement
Moving from Asset Management to Signal Management
Financial Services
Professional Services
Technology & Software
Manufacturing & Industrial
Dries Buytaert argues that running multiple CMS platforms creates hidden operational costs through duplicated integrations, security policies, expertise, and governance. He proposes standardizing on Drupal while using different operating models—SaaS (Acquia Source) for speed and PaaS (Acquia Cloud) for control—to preserve flexibility while reducing fragmentation.
The article discusses the infrastructure and capabilities required for AI agents to effectively manage content operations in enterprise environments, focusing on the practical requirements developers must understand when building systems that automate content workflows.
Umbraco, a Denmark-based open source CMS with .NET heritage, is positioning itself for the AI and agentic future through intentional product strategy. The article explores two Phils (likely leadership figures) and Umbraco's approach to incorporating AI and Model Context Protocol (MCP) capabilities into its platform.
An analysis of 1.46 million content agent activity logs reveals what AI agents are actually doing with content in operational settings. The article examines successful AI content operations practices based on real-world agent behavior data.