Research Library
Current AI strategy, agentic systems, digital transformation, and tool intelligence for operators and technology leaders.
Design production voice AI with current SIP and Media Streams options, latency budgets, safe tools, verified handoffs and practical release tests.
Design payment fraud controls around matured losses, false declines, rules, risk signals and accountable review.
Map ten practical workflows to actions, credits and executions, then price retries, exceptions and ownership.
Turn AI drafts into useful writing through source verification, audience context, clear editing and accountable publication—not detector tricks.
A practical Shopify agent design using API 2026-10, cost-aware GraphQL scheduling, verified webhooks and idempotent financial actions.
Design image-assisted returns triage with evidence quality, product context, human escalation and Shopify return-state controls.
Design reliable agent actions with server-side policy, typed tools, durable commands, idempotency and read-back evidence.
Choose retrieval, fine-tuning or live tools for commerce support with permission-aware data, grounded answers and a practical evaluation plan.
A Shopify return-agent architecture separating eligibility, return records and financial refunds, with safe retries and actual state verification.
Design supplier-invoice processing with validated extraction, matching, duplicate checks, segregation of duties and recovery.
Calculate full support costs, account for reopened issues and human review, and test savings with clearly labelled scenarios.
Separate current service capabilities, vendor billing definitions and historical research before choosing an AI support strategy.
Compare enrichment, CRM, knowledge and automation workflows without assuming competitor adoption or guaranteed performance.
Build practical AI governance using current NIST and ISO guidance, enforceable action limits, human review and a release evidence pack.
Build production RAG with current retrieval controls, source lifecycle, permission tests, grounded answers and a practical evaluation checklist.
Build a practical no-code pipeline with validated outputs, approval gates, retries, idempotency and honest workflow costs.
Correct the historical 50 M-token cost comparison and evaluate current GPT/Claude candidates by accepted task quality.
Evaluate LM Studio and Ollama for local inference, hardware fit, offline operation and controlled document workflows.
Compare agent runtimes, automation builders and business platforms with a practical pilot and procurement checklist.
134 pages: frameworks, use cases, governance, ROI, and a 90-day execution plan.
Unlock the playbook →