Zedly AI
Insights & Playbooks
Deep dives on enterprise AI security, hybrid search, pricing guardrails, and everything we are building for regulated teams.
New to Zedly? Explore our core solutions:
Install OpenClaw in Docker with one command, on your machine.
Shield redacts PII before any LLM sees it. Runtime safety layer.
Pre-built workflows: email triage, cold outreach, vibe coding.
Secure document analysis
Extract clauses and key terms
Instant data visualization
Capture every tool invocation across sessions, cron jobs, and sub-agents with a gateway-level audit log for OpenClaw.
Read Article →Build a tamper-evident audit trail for OpenClaw using SHA-256 hash chains, structured JSONL, and off-machine forwarding.
Read Article →Design approval workflows for OpenClaw agents using before_tool_call hooks. Block destructive commands, queue sensitive operations, and log every decision.
Read Article →Monitor OpenClaw cron jobs with session-grouped run history: start times, durations, tool sequences, error counts, and policy blocks.
Read Article →Visualize every OpenClaw tool invocation in a timeline: tool names, arguments, policy decisions, session context, and filters.
Read Article →Map OpenClaw token spend to specific cron jobs, tools, and models. Build cost visibility from event metadata.
Read Article →How to detect and contain prompt injection attacks in OpenClaw agents at runtime using pattern-based scanning, injection warnings, and tamper-evident audit logging.
Read Article →Five layers of runtime hardening for OpenClaw agents: tool call blocking, PII redaction, prompt injection detection, approval gates, and tamper-evident audit logging.
Read Article →Enterprise use cases for OpenClaw agents: company research, data mining, social media monitoring, document processing, cost-efficient model routing, and runtime governance with Zedly Shield.
Read Article →Use OpenClaw agents for trending topic discovery on X and Reddit, competitor monitoring, content gap analysis, content repurposing, and sentiment tracking on budget models.
Read Article →How to prevent data loss in OpenClaw agent workflows using on-device enforcement, PII redaction, API key detection, content deny lists, and tamper-evident audit logging.
Read Article →Stop fighting config files. Get OpenClaw configured by an AI-assisted engineer who remotes into your machine, sets up LLM providers, installs plugins, and verifies everything works.
Read Article →Cut OpenClaw costs with free models via OpenRouter, OAuth against existing subscriptions, per-agent model routing, and fallback chains.
Read Article →Running multiple OpenClaw instances on one machine causes port conflicts and config collisions. Containers solve all three. Here is the practical setup with Zedly Setup and Shield.
Read Article →A practical middleware pattern for redacting emails, SSNs, phone numbers, and names from OpenClaw agent workflows before data reaches external model providers.
Read Article →A practical small-business checklist for reviewing vendor contracts: payment terms, auto-renewal, liability, data use, termination, and red flags.
Read Article →How to identify change of control and anti-assignment triggers across customer and vendor contracts, classify risk (silent/notice/consent/terminate), and build a consent tracker with citations.
Read Article →The seven most common failure points in multi-entity bank reconciliation: entity mapping, shared accounts, cash pooling, intercompany transfers, FX mismatches, close evidence, and scale. Symptom, root cause, and fix for each.
Read Article →What actually happens when you upload documents to a private AI platform: the five-stage lifecycle from transit to deletion, a vendor comparison table, and a pre-upload checklist for sensitive files.
Read Article →Analyze medical records and build chronologies with private, matter-isolated AI. Includes an ABA-inspired prompt library for PI workflows: chronology, gaps, causation, billing extraction, deposition prep, and demand-letter support.
Read Article →What to look for in an online AI system to analyze data: how the pipeline works, an evaluation checklist for privacy and reliability, common use cases, and a 30-minute test plan for any platform.
Read Article →Learn how to cite a clause in a contract using section numbers, page references, exhibit labels, and PDF locations. Plus: how to get AI contract review tools to cite clauses correctly.
Read Article →What 'private' really means when evaluating NotebookLM alternatives, why self-hosting breaks down after week two, a vendor checklist for document-grounded AI, and an honest comparison of NotebookLM vs self-hosted OSS vs managed private platforms.
Read Article →What a private document vault actually is, who needs one, the feature checklist that matters, and how to set one up in an afternoon with AI-powered analysis on independent infrastructure.
Read Article →Profile any CSV file in seconds: summary statistics, missing value detection, duplicate rows, data type inference, and outlier flagging. Free online CSV profiling with Python under the hood.
Read Article →Buyer's guide to self-hosted document AI: stack components, hardware requirements, compliance mapping, and what to look for in a commercial platform vs DIY.
Read Article →Every approach to searching across multiple PDFs compared: desktop tools, cloud storage search, and AI-powered semantic search with OCR and cross-document citations.
Read Article →Compare document storage alternatives to hyperscaler clouds. Learn about Backblaze B2 object storage, SOC 2 compliance, erasure coding, and how Zedly adds AI document search and RAG on independent infrastructure.
Read Article →Technical guide to air-gapped and on-premise LLM deployment for defense, finance, healthcare, and critical infrastructure. Covers offline RAG pipelines, compliance frameworks, architecture, and vendor evaluation.
Read Article →Practical buyer's guide to HIPAA-compliant AI document tools. Covers BAA requirements, three deployment models, subprocessor chain checklist, and vendor due diligence workflow.
Read Article →Build a GRNI report from scratch: columns, manual process, failure modes, downloadable template, and automated reconciliation workflow.
Read Article →10 proven AP controls, a downloadable checklist, and an AI exceptions workflow that catches near-duplicates ERPs miss.
Read Article →Upload a 50k-row spend export, run 5 prompts, and get merchant-level anomaly drivers, macro overlays, and KPI dashboards. No code, no plugins.
Read Article →Export credit card transactions to CSV and generate spending charts automatically. Graph top merchants, track categories, and visualize trends in seconds.
Read Article →Learn the best ways to graph Excel data across multiple sheets (including dual y-axis). Then see a fast AI workflow that filters outliers and plots everything for you.
Read Article →Learn what contract review AI software does, the clauses it flags, how accuracy and privacy work, and a step-by-step checklist to review contracts faster with citations.
Read Article →Step-by-step guide to importing bank statement data into QuickBooks. Learn the PDF to CSV workflow, QuickBooks column format, and how to avoid common import failures.
Read Article →A practical guide to evaluating bank reconciliation software. Feature checklist, vendor demo questions, and downloadable reconciliation template for SMB to enterprise.
Read Article →Simplify CAM reconciliation with the best software for commercial landlords. Reduce errors, save time, and maximize profitability with AI-powered lease abstraction.
Read Article →Learn how to search across multiple lease agreements at once using lease clause search software. Find rent escalation, renewal options, CAM language, and more from your entire portfolio in minutes.
Read Article →Learn how to use lease abstraction AI software to extract renewal options, rent escalations (CPI/fixed), and critical dates across multiple lease agreements at once—with citations and quality control.
Read Article →Learn how to use AI to analyze bank statements securely. Compare privacy-first AI vs public APIs, discover best practices, and understand when AI works best for financial data.
Read Article →Discover how small businesses can leverage private LLMs for secure, affordable AI. Compare managed solutions starting at $149/month vs self-hosted options with full hardware specs.
Read Article →Analyze your bank statements, medical records, and personal documents with AI that never shares your data. Clear the Desk and all analysis data is permanently deleted.
Read Article →Law firms handle the most sensitive data on earth. Zedly's Private AI keeps every document, prompt, and response inside your security perimeter with the Vault & Desk model.
Read Article →Enterprise teams finally drew the line on public LLMs. Data residency, cost control, and board-level risk made Private GPT the default strategy for 2025.
Read Article →Legal ops groups demanded exact citations, audit trails, and predictable costs. We responded with hybrid search, legal-tuned embeddings, and org-level guardrails.
Read Article →