All field notes

Turning documents into structured data is where LLMs earn their keep, if the pipeline validates and measures. This playbook covers intake, parsing, schema-driven extraction, validation, review, evaluation, and delivery.

Shared inboxes drown teams in unsorted mail. An AI email triage system classifies, extracts, prioritizes, routes, and drafts replies for approval. This playbook covers the build from intake to evaluation.

The month-end close is a choreography of reconciliations, variance explanations, and evidence collection under deadline. This playbook covers task orchestration, reconciliation support, variance analysis, evidence, controls, and evaluation.

HR teams answer the same policy questions daily and handle sensitive matters that no assistant should touch. This playbook covers grounding, identity, routing, sensitive-topic handling, privacy, and evaluation.

Marketing teams want answers from their data without waiting for analysts. An analytics agent delivers them only when metrics are defined, data access is governed, and narratives cite evidence. This playbook covers the build.

Meeting summaries are useful when they capture decisions and actions accurately and respect privacy. This playbook covers capture, transcription, structured summarization, verification, privacy, and evaluation.

Onboarding is a sequence of questions, tasks, and handoffs that AI can guide without replacing the people who matter. This playbook covers journey mapping, grounding, task tools, personalization, evaluation, and rollout.

Cement production is dominated by kiln energy cost and by quality that depends on raw material variability. This guide covers energy and alternative fuel optimisation, quality prediction from process and material data, quarry planning and delivery logistics, and why kiln control decisions remain with operators.

Beauty retail depends on matching products to individuals across an enormous SKU range, while operating under ingredient and claims regulation that varies by market. This guide covers shade and product matching, ingredient compliance checking, demand planning across large assortments, and why health and efficacy claims carry hard regulatory limits.

Footwear carries the highest return rates in apparel because fit is unpredictable across brands and lasts. This guide covers size and fit guidance that actually reduces returns, demand planning at size-curve level, production and material planning, and why fit recommendations must be honest about uncertainty.

Jewellery retail combines high-value slow-moving stock with a purchase process built on trust and provenance. This guide covers provenance and certification documentation, personalisation for a high-consideration purchase, stock and repair operations, and why valuation and authentication must remain with qualified specialists.

Packaging combines artwork management, regulatory label content, and high-changeover production. This guide covers automating artwork proofing and version comparison, checking label content against market requirements, improving changeover and waste, and why final artwork approval and regulatory sign-off remain human responsibilities.

Steel and metals production is energy-intensive with yield and quality driven by process conditions recorded in detail and analysed rarely. This guide covers yield and quality analysis from process history, energy scheduling against volatile prices, maintenance on critical assets, and why furnace and mill control stays with operators.

Apparel manufacturing runs on volatile demand, thin margins, and growing traceability obligations. This guide covers order and capacity planning under demand volatility, automated defect detection, supply chain traceability for materials, social compliance documentation, and why audit findings and remediation decisions remain human.

Three engagement models distribute responsibility differently. Use this framework to compare an FDE, a consultant, and staff augmentation against the outcome your organization needs.

Startups live and die on execution speed. How a forward deployed engineer helps you ship the hard bet now and build capability you keep—without over-hiring.

AI agents are easy to demo and hard to ship safely. How to hire AI agent developers who deliver production agents with guardrails, not fragile prototypes.

WhatsApp is where many customers want to talk to businesses, and its rules are strict. This playbook covers platform setup, opt-in, identity verification, grounded answers, confirmed actions, handoff, and evaluation.

SharePoint holds decades of documents behind a complex permission model. AI search over it succeeds only with permission-trimmed indexing, curation, hybrid retrieval, and grounded answers. This playbook covers the build.

Agents act, so evaluating them means evaluating trajectories in realistic environments, not just final text. This playbook covers task suites, simulated environments, trajectory scoring, safety cases, CI gates, and reporting.

Agentic RAG lets the system plan, retrieve iteratively, choose sources, and verify before answering. This playbook covers when it helps, planning, iterative retrieval, verification, budgets, synthesis, and evaluation.

When an AI system is questioned, the audit trail is the answer. This playbook covers the event model, capture points, immutability, redaction, retention, reconstruction, access, and regulatory alignment.

Compliance teams cannot read every communication, transaction, and change. An AI compliance monitor watches defined obligations, flags with evidence, and routes to reviewers. This playbook covers the build.

AI content at scale is only an asset when it is grounded, on-brand, compliant, and reviewed. This playbook covers building a content pipeline with briefs, drafting, validation, editorial gates, and evaluation.