Pattrn Data resources
AI resources for decisions, not just definitions
Practical guides, checklists and comparisons for UK firms deciding where AI belongs, what workflow is worth changing, and how to keep client data, staff trust and governance under control.
Start with the question you are trying to answer
These resources sit between the short question answers and the service pages. They are designed for partners, directors and operators who need enough detail to choose between assessment, audit, implementation, recovery or governance without turning every question into a sales call.
More resources
Case studies, media coverage and whitepapers.
Use these pages to explore practical guides, case studies, media coverage and future downloadable resources from Pattrn Data.
AI automation consulting UK buyer's guide
Plain English guide for UK firms choosing an AI automation consultant: what to ask, avoid and check before approving a proposal.
Read the guideWhat does an AI automation consultant do?
A plain English guide to what an AI automation consultant does, when to use one, and what a good engagement should produce for a UK professional services firm.
Read the guideHow much does AI automation consulting cost in the UK?
A practical UK cost guide for AI automation consulting, including discovery, pilots, implementation phases, hidden costs and governance overhead.
Read the guideAI automation agency vs consultant: which do you need?
How to decide whether your firm needs an AI automation agency, an independent consultant, a developer or an internal project team.
Read the guideMicrosoft Copilot vs custom AI agents: which should your firm use?
A plain English comparison of Microsoft Copilot and custom AI agents for UK professional services firms deciding how to automate work safely.
Read the guideAI governance consultant vs IT provider: what is the difference?
How to decide whether an AI governance issue needs an IT provider, an AI governance consultant, an MSP, compliance support or a combined approach.
Read the guideAI automation vs AI governance: which should come first?
A decision guide for professional services firms choosing whether to start with AI automation, AI governance or a combined audit.
Read the guideMicrosoft Copilot vs ChatGPT Enterprise: which fits your firm?
A practical comparison of Microsoft Copilot and ChatGPT Enterprise for firms choosing an AI assistant around confidential work, adoption and governance.
Read the guideCopilot Studio vs custom AI workflow: which should you build?
How to decide whether a Microsoft Copilot Studio agent or a custom AI workflow is the safer and more useful route for professional services teams.
Read the guideAI agents vs workflow automation: what is the difference?
A practical guide to choosing between AI agents and workflow automation for intake, reporting, document handling and professional services operations.
Read the guideNo-code automation vs custom AI build: how to choose
How growing firms should choose between no-code automation tools and a custom AI build when workflows, data and governance matter.
Read the guideAI readiness assessment vs AI risk and efficiency audit
A decision guide for firms choosing between an AI readiness assessment and an AI risk and efficiency audit.
Read the guideAI policy template vs governance framework: what do you need?
How to choose between a quick AI policy template and a wider governance framework for professional services firms and growing SMEs.
Read the guideShadow AI audit vs staff AI survey: which is better?
A plain-English comparison of shadow AI audits and staff surveys for finding unmanaged AI use without driving it further underground.
Read the guideData integration vs dashboard project: what should come first?
How to decide whether your firm needs data integration work before building a dashboard, report or AI reporting workflow.
Read the guidePower BI dashboard vs AI reporting agent: which do you need?
A practical comparison of dashboards and AI reporting agents for teams that need better visibility, explanations and follow-up.
Read the guideCRM automation vs AI sales agent: which is safer?
How B2B and professional services firms should compare CRM automation with AI sales agents for follow-up, qualification and pipeline discipline.
Read the guideAI chatbot vs guided intake workflow: what works better?
A comparison for firms deciding between a website AI chatbot and a guided intake workflow for enquiries, triage and client onboarding.
Read the guideInternal knowledge assistant vs document search: which is useful?
How to compare AI knowledge assistants with conventional document search for firms using SharePoint, Teams, drives or knowledge bases.
Read the guideAI implementation partner vs SaaS subscription: what should you buy?
A decision guide for firms comparing an AI software subscription with an implementation partner who can configure, govern and embed the workflow.
Read the guideAI pilot vs production implementation: when are you ready?
How to tell whether an AI project is still a pilot or ready for controlled production use inside a professional services firm.
Read the guideFractional Head of AI vs AI governance retainer
How to compare fractional AI leadership with an AI governance retainer for firms that need ongoing support without a full-time hire.
Read the guideIn-house AI team vs external AI consultant: what should you choose?
A practical comparison for growing firms deciding whether to hire internally or use external AI consulting and implementation support.
Read the guideAI training vs AI implementation: where should budget go?
How to choose between staff AI training and implementation work when firms want practical adoption without unmanaged experimentation.
Read the guideBest AI automation use cases for professional services
Practical AI automation use cases for accountants, law firms, advisers, insurers and specialist B2B service teams.
Read the guideAI workflow automation for professional services
A practical guide to AI workflow automation for accountancy, legal, advisory and other professional services firms that need safer, clearer operations.
Read the guideHow to automate repetitive admin without replacing staff
A practical approach to reducing admin pressure with AI and automation while keeping staff trusted, involved and in control.
Read the guideAI workflow automation examples for small firms
Examples of useful AI workflow automation for small professional services firms with limited time, budget and operational capacity.
Read the guideAI governance checklist for professional services
A practical AI governance checklist for professional services firms handling client data, confidential information and regulated workflows.
Read the guideShadow AI policy template for UK firms
A plain English shadow AI policy template and rollout approach for UK firms that need to bring unmanaged AI use under control.
Read the guideFailed AI project recovery checklist
A practical checklist for recovering stalled AI pilots, difficult Copilot rollouts and automation projects that have lost trust inside the firm.
Read the guideClient-confidential AI tool approval checklist
A checklist for approving AI tools that may touch client data, confidential documents or sensitive professional services workflows.
Read the guideAccountancy enquiry handling leakage checklist
A practical checklist for accountancy firms that want to close enquiry and deadline leakage before buying broader AI automation.
Read the guideLegal enquiry handling response checklist
A practical checklist for law firms that need faster intake and follow-up without weakening confidentiality, conflict checks or legal judgement.
Read the guideFinancial services enquiry follow-up controls
A practical resource for IFAs, advisers and wealth firms that want faster enquiry follow-up with clear suitability, client-outcome and data-use controls.
Read the guideAI risk assessment template for regulated firms
A practical AI risk assessment structure for regulated and trust-heavy firms adopting AI in client, operational or knowledge workflows.
Read the guideShadow AI checklist for founder-led SMEs
A practical checklist for founders and operators who need to find unmanaged AI use, protect sensitive data and turn messy workflow experiments into controlled next steps.
Read the guideAI audit vs AI implementation: what should you do first?
A practical guide to choosing between AI Clarity, an AI Risk and Efficiency Audit, implementation work or an ongoing governance retainer.
Read the guideWhen does an AI governance retainer make sense?
How to decide whether ongoing AI governance support is useful for your firm, or whether a one-off audit or implementation project is enough.
Read the guideSEO, AEO and AI optimisation guide for websites
A practical Pattrn Data guide to making a website easier for Google, answer engines, AI search tools and buying teams to understand, trust and act on.
Read the guide