Your AI Tools Are Working Fine. Your Information Architecture Isn’t.

Accountancy practice management software has come a long way. Today, features like automated billing and reconciliations are easily integrated into the day-to-day practice workflow of Wolters Kluwer Tax & Accounting UK customers.

Our employees work side by side with our customers to create and manage these solutions – driven by a deep understanding of their needs and addressing the rapid changes in their environment.

However, it’s often hard to look beyond improving performance in day-to-day operations. Amid Brexit, the COVID-19 pandemic and other disruptions, accountancy practices and their clients are dealing with an unpredictable economic landscape. Future business planning can appear daunting.

However, technology can support accountancy practices (and their clients) in making informed business decisions, and planning for the future. In the first part of our Accountancy Practice Management for Future-Fit Growth series, we’ll explore how they can use technology to define and easily track Key Performance Indicators (KPIs). Doing so gives practices closer control of performance tracking, and deeper insights that will inform strategic growth plans.

Saving Time

For several decades, business technology platforms have enabled practices to track performance metrics that they have customised. This highlights areas that qualify for improvement and underpins strategic planning.

Contemporary technology, such as CCH KPI Monitoring, makes setting up KPIs faster and easier for accountancy practices than ever before. This is vital today. The current business landscape demands that firms assess and amend KPIs more frequently, based on fresh market variables. KPIs such as client retention rate and business time-to-recovery have become increasingly prominent performance indicators in the past year. If clunky technology makes KPI management difficult, practices have less time and insight to plan future growth.

Reducing Risk
CCH KPI Monitoring makes it far easier to track KPIs and report on them. This is fundamental in minimising risk. For example, if a KPI is set to track and escalate debt filtered by overdue dates, the ability to easily set alerts and automatically generate reports is critical to practice performance management.

Some practices are manually running monthly reports to measure KPIs. Others are running real-time reporting engines, a key feature of CCH KPI Monitoring. This latter solution allows practices to review essential data at any time – covering both performance management and compliance requirements. They can do so remotely or on-premise.

This means that firms can assess issues before they become problems, and thus act proactively. Real-time reporting is a true asset in building a future-fit practice.

The Proof is in the Practice
A number of Wolters Kluwer customers have been using CCH KPI Monitoring for several years now. Our customers look to us when they need to be right. Ryecroft Glenton has successfully integrated CCH KPI Monitoring with its own system. This consolidates information from several sources, including CCH Central and CCH Practice Management.

“We can use the year end date to trigger a sequence of reminders. Have we asked for the books? Have they been received? If a request to a client has been outstanding for a certain period, the partner will receive an alert via email. For limited companies, we can monitor the corporation tax and Companies House filing deadlines – as well as the different deadlines for pension schemes”

– Ian Smith, partner at Ryecroft Glenton

Corporate events agency who benefited from greener graphics initiative

“Apogee are not just aprinting company, theyconsult with us and go onto deliver a full end to endservice from concept toinstallation. They go aboveand beyond and we lookforward to continuing ourjourney with them”

Corporate events agency who benefited from greener graphics initiative

“Apogee are not just aprinting company, theyconsult with us and go onto deliver a full end to endservice from concept toinstallation. They go aboveand beyond and we lookforward to continuing ourjourney with them”

Corporate events agency who benefited from greener graphics initiative

“Apogee are not just aprinting company, theyconsult with us and go onto deliver a full end to endservice from concept toinstallation. They go aboveand beyond and we lookforward to continuing ourjourney with them”

Corporate events agency who benefited from greener graphics initiative

“Apogee are not just aprinting company, theyconsult with us and go onto deliver a full end to endservice from concept toinstallation. They go aboveand beyond and we lookforward to continuing ourjourney with them”

Most accountancy firms do not have an AI problem; however, they do have an information problem and AI is just exposing it.

Think about how information typically sits in a mid-size practice. Client files live in iManage. Engagement history sits in Xero, Sage or IRIS. Working papers are in spreadsheets, sometimes shared and sometimes on a local drive. Emails are in Outlook. The context from a meeting might be in someone’s head, a Word document, or buried in a Teams chat that is difficult to find.

This is not a criticism. It is simply how professional services firms have always worked, because the person doing the work already carried the context. The systems stored things. The humans connected them.

An AI tool, however, can only work with what it can see. Ask Copilot to summarise everything relevant to a client's year-end position and it will try… but if the relevant documents are spread across three systems that have never been integrated, it will give you a partial answer. Actually, worse than that, a very confident sounding partial answer.

Firms are now feeling the frustration of this context issue and are blaming the model. The firms getting most value from AI right now are the ones whose information was already in reasonable order before they started, not those with the most sophisticated tooling.

This is not an abstract point. Making Tax Digital (MTD) for income tax arrives in April 2026. Firms are preparing for a significant increase in the volume and frequency of data flowing between them, their clients, and HMRC. The practices that will manage that transition most smoothly are the ones with clean, connected, accessible information, because that infrastructure matters for everything that comes after it.

The more immediate conversation worth having is around how AI tools access information across systems. The industry is converging on a technical standard called Model Context Protocol (MCP) which allows AI tools to securely connect with data sources, tools, and software systems rather than operating in isolation. It is early, but it is the direction of travel, and it is why decisions made now about information architecture will matter for years.

Many accountancy firms are further ahead here than they realise. If your practice runs a modern Document Management System (DMS) for example iManage, you already have a structured, governed layer for matter-centric documents, which is exactly the kind of foundation that makes AI integration tractable. The challenge is connecting what you already have rather than starting from scratch.

The practical question worth asking inside your firm is not "which AI tools should we invest in?" That question will answer itself over the next two years as the market settles. The more useful question is: if someone new joined your practice tomorrow and needed to understand the full picture of your ten most important client relationships, what would they actually be able to find and where would the gaps be?

The answer to that question tells you more about your AI readiness than any product evaluation will.

If you want to optimise your existing AI approach, validate your current delivery, or simply feel more confident in your future decision‑making, we’d be happy to chat.



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