Source: https://wiity.ai/resources/is-your-recruitment-teams-hardware-ready-for-ai Reading version: https://wiity.ai/resources/is-your-recruitment-teams-hardware-ready-for-ai.md [← All resources](https://wiity.ai/resources) AI & automation / PRACTICAL GUIDE # How to prepare your team’s devices for AI without buying hardware you do not need The demo runs beautifully. Back at a recruiter’s desk, the same tool struggles beside a video call, sourcing tabs and the ATS. Before approving a laptop refresh, find out which part of that working day is actually slowing down. [Jordan Betteridge](https://wiity.ai/about#jordan-betteridge) AI Experience & Change · 15 years in recruitment technology Updated 20 October 2026 · 3 min read ![DEVICES → WORKFLOW → READY TO WORK](https://wiity.ai/assets/resources/is-your-recruitment-teams-hardware-ready-for-ai.svg) IN THIS GUIDE [Separate cloud AI from local processing](https://wiity.ai/resources/is-your-recruitment-teams-hardware-ready-for-ai#part-1) [Test a normal working day](https://wiity.ai/resources/is-your-recruitment-teams-hardware-ready-for-ai#part-2) [A ten-minute workload test](https://wiity.ai/resources/is-your-recruitment-teams-hardware-ready-for-ai#worked-example) [Find the constraint before spending](https://wiity.ai/resources/is-your-recruitment-teams-hardware-ready-for-ai#part-3) [Check compatibility and management](https://wiity.ai/resources/is-your-recruitment-teams-hardware-ready-for-ai#part-4) [Pilot the complete environment](https://wiity.ai/resources/is-your-recruitment-teams-hardware-ready-for-ai#part-5) [Treat the device as one foundation](https://wiity.ai/resources/is-your-recruitment-teams-hardware-ready-for-ai#part-6) [Take this into your next team conversation](https://wiity.ai/resources/is-your-recruitment-teams-hardware-ready-for-ai#put-it-to-work) [Questions worth asking](https://wiity.ai/resources/is-your-recruitment-teams-hardware-ready-for-ai#reader-questions) THE PRACTICAL VIEW Buy against an observed workload. A processor labelled for AI tells you less than a representative test of the applications your team needs open together. ## Separate cloud AI from local processing Many browser-based AI services perform model processing remotely. The device still needs to handle the browser, video calls, documents, extensions and other applications. Running a model locally is a different workload and can require substantially different hardware. Check the requirements of the actual software you plan to use. ## Test a normal working day Open the ATS, CRM, email, a video meeting and the documents or sourcing tools normally used together. Run a representative task. Record freezes, response times and memory pressure. Repeat on a stable connection. Compare application performance before assuming the computer is the cause. WORKED EXAMPLE · ILLUSTRATIVE ## A ten-minute workload test Use a non-sensitive sample record. Open the normal browser tabs and start a test call. Ask the recruiter to complete the task while IT observes memory use, available storage and network behaviour. Note whether the whole device slows down or only one service waits for a response. Repeat after removing unnecessary extensions, then compare the result on a known-good device. ### Where it can go wrong If both devices wait for the same remote response, a more expensive laptop may not solve the problem. If switching between ordinary applications is consistently slow, the local environment deserves closer attention. Record the evidence before recommending a purchase. ## Find the constraint before spending Network latency, browser extensions, storage space, synchronisation, security software and the service itself can affect performance. Ask IT to investigate the pattern. More memory can help a constrained device, but a blanket minimum specification is not a substitute for testing. ## Check compatibility and management Assess Windows and Mac devices against your required applications, integrations, accessibility needs and support arrangements. Include device management, security updates, backup, repair and replacement. The right choice is the one your team can use and your organisation can support reliably. ## Pilot the complete environment Test a proposed configuration with a small group before a wider rollout. Include the people who use the heaviest workflows and those who need additional support. Evaluate total cost, support effort and the practical improvement, then document a specification based on evidence. ## Treat the device as one foundation Hardware readiness sits alongside data quality, workflow design, permissions and training. A capable device cannot fix an unclear process. Equally, a carefully designed workflow needs a usable working environment if people are going to adopt it. PUT IT TO WORK ## Take this into your next team conversation Tick off the points you have covered. This is a working checklist, not a compliance score. Selections reset when you leave the page. Practical review checklist Test the full workload rather than an isolated AI demo. Distinguish device delays from network or service delays. Check application compatibility and management requirements. Pilot the proposed specification with actual users. 0 of 4 points covered Reset checklist ## Questions worth asking Does cloud AI require a dedicated AI processor? Not necessarily. When model processing happens remotely, local requirements depend on the client application and the other work happening on the device. Local models and specialised desktop workloads need a separate assessment. Should every recruiter have the same specification? A standard baseline can simplify support, but workloads differ. Test representative roles before deciding whether a small number of supported configurations would serve the business better. Continue with [Recruitment Automation & Team Adoption](https://wiity.ai/resources/why-automation-should-scare-your-spreadsheets-not-your-staff) . **About this guide** This guide builds on Jordan’s Hyper Automate resource library, updated for Wiity. Worked examples illustrate the approach; they are not customer case studies. ![Jordan Betteridge](https://wiity.ai/assets/team/jordan-betteridge.webp) YOUR AUTHOR ## Jordan Betteridge **AI Experience & Change** 15 years of recruitment technology experience. Jordan leads Wiity’s brand, experience and hands-on solution design. He shapes how people discover, experience and use what we build, from websites to bespoke applications. He brings recruitment technology experience to making complex ideas clear and creating practical tools that fit the way people work. KEEP EXPLORING ## More useful next steps. [How to use AI in recruitment without confusing speed with better decisions ↗](https://wiity.ai/resources/ai-in-recruitment-2026) [How to use RAG without treating every AI answer as fact ↗](https://wiity.ai/resources/rag-explained-in-plain-english) FROM IDEAS TO EVERYDAY WORK ## Make the next step work for your people. Explore a focused AI project, a transformation roadmap or connected recruitment data with Ella. [Let’s talk about your business ↗](https://wiity.ai/contact)