https://www.deepgrain.ai/intelligence Working notes on running People functions with AI. en-GB Mon, 21 Sep 2026 00:00:00 GMT https://www.deepgrain.ai/intelligence/people-ops-diagnostic-toolkit https://www.deepgrain.ai/intelligence/people-ops-diagnostic-toolkit Mon, 04 May 2026 00:00:00 GMT The read comes before the fix. The People Ops diagnostic toolkit is five repeatable diagnostics that tell you where a People function actually snags. https://www.deepgrain.ai/intelligence/people-debt-and-genai https://www.deepgrain.ai/intelligence/people-debt-and-genai Mon, 04 May 2026 00:00:00 GMT GenAI does not create people debt, it exposes it: drifting levelling, unowned decision rights, undocumented process. Here is the audit and the order to repay. https://www.deepgrain.ai/intelligence/designing-values-that-stick https://www.deepgrain.ai/intelligence/designing-values-that-stick Mon, 04 May 2026 00:00:00 GMT Most values projects produce a poster, not a behaviour. Values that stick are short, costly to live by, and wired into how decisions actually get made. https://www.deepgrain.ai/intelligence/coaching-and-feedback-systems https://www.deepgrain.ai/intelligence/coaching-and-feedback-systems Mon, 04 May 2026 00:00:00 GMT A review cycle is not a coaching system. Coaching and feedback systems that compound run weekly and evidence-led. Here is the shape, and where AI fits. https://www.deepgrain.ai/intelligence/ai-roadmap-case-study-finedge https://www.deepgrain.ai/intelligence/ai-roadmap-case-study-finedge Mon, 04 May 2026 00:00:00 GMT An AI roadmap case study: how a 280-person fintech People team went from scattered ChatGPT use to nine production workflows in 90 days, and what nearly broke. https://www.deepgrain.ai/intelligence/the-hr-architect-role https://www.deepgrain.ai/intelligence/the-hr-architect-role Sun, 03 May 2026 00:00:00 GMT AI is climbing from clicks to decisions, and the People roles that survive change shape. The HR Architect is the role your function needs to build now. https://www.deepgrain.ai/intelligence/automation-audit-playbook https://www.deepgrain.ai/intelligence/automation-audit-playbook Sat, 02 May 2026 00:00:00 GMT An automation audit done properly starts with the problem, not the tool. Score each workflow with 6T, cost it in pounds, then sequence by value. https://www.deepgrain.ai/intelligence/ai-policy-blueprint-for-people-teams https://www.deepgrain.ai/intelligence/ai-policy-blueprint-for-people-teams Fri, 01 May 2026 00:00:00 GMT Most AI policies ban everything and get ignored by day two. Here is the one-page AI policy for People teams people actually use, plus how to handle shadow AI. https://www.deepgrain.ai/intelligence/production-agents-for-people-ops https://www.deepgrain.ai/intelligence/production-agents-for-people-ops Thu, 30 Apr 2026 00:00:00 GMT Most People Ops agents are demos with ambition. Production agents for People Ops share a pattern: real data, a context stack, an off-switch, an owner. https://www.deepgrain.ai/intelligence/ai-enablement-operating-model https://www.deepgrain.ai/intelligence/ai-enablement-operating-model Tue, 28 Apr 2026 00:00:00 GMT Champions and licences are not a strategy. AI enablement is an operating model with three layers and a cadence. How People leaders build one that sticks. https://www.deepgrain.ai/intelligence/choosing-ai-models-for-hr-work https://www.deepgrain.ai/intelligence/choosing-ai-models-for-hr-work Sat, 25 Apr 2026 00:00:00 GMT No single best AI model for HR work exists. Match the model to the task, run two or three, and cross-check what matters. Here is the working stack. https://www.deepgrain.ai/intelligence/prompting-patterns-for-people-ops https://www.deepgrain.ai/intelligence/prompting-patterns-for-people-ops Wed, 22 Apr 2026 00:00:00 GMT Better AI output is not about a better model. It is about prompting patterns for People Ops: five blocks, prompt chains, and the critique pass teams skip. https://www.deepgrain.ai/intelligence/setting-up-your-ai-workspace https://www.deepgrain.ai/intelligence/setting-up-your-ai-workspace Sun, 19 Apr 2026 00:00:00 GMT Set up an AI workspace with standing instructions, workstream projects, approved references and review rules. The same pattern works in every function. https://www.deepgrain.ai/intelligence/from-prompts-to-systems https://www.deepgrain.ai/intelligence/from-prompts-to-systems Sun, 19 Apr 2026 00:00:00 GMT Buying tools or nudging people to use ChatGPT is not building AI capability. The move from prompts to systems has one order: workflows, automations, agents. https://www.deepgrain.ai/intelligence/designing-the-ai-native-people-team https://www.deepgrain.ai/intelligence/designing-the-ai-native-people-team Sat, 18 Apr 2026 00:00:00 GMT Bolting AI onto the People org chart changes nothing but the bill. An AI-native People team is redesigned around it: fewer roles, more senior, work that stays. https://www.deepgrain.ai/intelligence/ai-governance-for-people-teams https://www.deepgrain.ai/intelligence/ai-governance-for-people-teams Sat, 18 Apr 2026 00:00:00 GMT AI governance for People teams is not a forty-page policy. It is four boundaries, a sign-off, and a log. Here is what to decide, and how to prove it holds. https://www.deepgrain.ai/intelligence/the-champion-model https://www.deepgrain.ai/intelligence/the-champion-model Fri, 17 Apr 2026 00:00:00 GMT You do not need engineers to build AI capability in People. You need a champion model: three or four operators given air cover, a budget and time. How it runs. https://www.deepgrain.ai/intelligence/leading-the-ai-transformation https://www.deepgrain.ai/intelligence/leading-the-ai-transformation Thu, 16 Apr 2026 00:00:00 GMT Leading the AI transformation in People fails as a change programme far more often than as a technology problem. Here is the sequence that actually sticks. https://www.deepgrain.ai/intelligence/diagnosing-ai-readiness-in-people-ops https://www.deepgrain.ai/intelligence/diagnosing-ai-readiness-in-people-ops Thu, 16 Apr 2026 00:00:00 GMT AI readiness in People Ops is not a model problem. It is a data, process, tooling, sponsor and risk read. Here is the diagnostic, and how to act on it. https://www.deepgrain.ai/intelligence/workflow-assessment-framework https://www.deepgrain.ai/intelligence/workflow-assessment-framework Wed, 15 Apr 2026 00:00:00 GMT Score People Ops AI workflows by value, frequency, fit and risk. Use this workflow assessment framework to choose work worth automating and defend the sequence. https://www.deepgrain.ai/intelligence/automation-patterns-that-pay-off https://www.deepgrain.ai/intelligence/automation-patterns-that-pay-off Wed, 15 Apr 2026 00:00:00 GMT The payoff from People Ops automation patterns is not the clever model. It is the clean workflow. Six that pay back in weeks, and the ones that quietly die. https://www.deepgrain.ai/intelligence/the-people-ops-ai-domain-map https://www.deepgrain.ai/intelligence/the-people-ops-ai-domain-map Tue, 14 Apr 2026 00:00:00 GMT A People Ops AI map: the five domains where AI fits across the People function, the shape of the win in each, and how to pick which one to build first. https://www.deepgrain.ai/intelligence/measuring-ai-value-in-people-ops https://www.deepgrain.ai/intelligence/measuring-ai-value-in-people-ops Tue, 14 Apr 2026 00:00:00 GMT Time saved is the vanity metric every function reports and no CFO banks. Here is how measuring AI value in People Ops actually works, and how to defend it.