KeenSight Research & Insights
Enterprise AI, examined in depth
Explore practical analysis of AI architecture, agents, governance, ROI, integrations, and industry workflows. Start with the decision your team needs to make.
Agentic AI for Operations: Automating Complex Back-Office Workflows
Design agentic back-office workflows with case state, exception handling, bounded actions, recovery, and measures of throughput, quality, and customer experience.
Read the full analysisAI Agent Architecture: Graph Workflows, Loops, Tools, and Control
Design AI agents with explicit graphs, bounded loops, narrow tools, durable business state, review controls, and outcome-based evaluation.
OpenAI Agent Evaluation: How to Test Production AI Systems
Build agent evaluations around representative tasks, verified outcomes, tool behavior, permissions, review quality, and production release evidence.
OpenAI Agent Security: Permissions, Prompt Injection, Tool Use, and Control
Secure AI agents with identity, permission-aware retrieval, narrow tools, validated actions, human approval, deployment controls, and operational tests.
OpenAgentic AI for Ecommerce: Customer Service, Merchandising, Orders, and Returns
Connect ecommerce AI for product data, service, merchandising, orders, and returns to customer resolution, conversion, repeat purchase, and operating quality.
OpenAI-First Engineering: How Production AI Systems Are Actually Built
Build production AI systems around business tasks, source context, integrations, evaluation, recovery, and clear operating ownership.
OpenAI for Law Firms: Legal Research, Contract Review, Matters, and Operations
Build AI-assisted legal research, contract review, matter intake, and obligation workflows with source verification, confidentiality, and professional ownership.
OpenAI for Luxury and High-Touch Services: Clienteling, Concierge, and Personalization
Design AI for clienteling, concierge preparation, personalization, and advisor continuity with reliable context, accountable actions, and service measurement.
OpenAI for Marketing Operations: Campaigns, Content, Ad Spend, and Experimentation
Connect AI campaign briefs, content, review, publishing, ad-spend decisions, and experiments to conversion, retention, and marketing operating performance.
OpenFrom AI Pilot to Production: Architecture, Evaluation, and Operating Requirements
Move an AI pilot into production with a defined scope, reliable integrations, evaluation, review, recovery, monitoring, rollout, and operating handoff.
OpenAI for Sales Ops and RevOps: Account Intelligence, Pipeline, and Next-Best Action
Connect AI account intelligence, CRM updates, next actions, and renewal preparation to measured sales conversion, retention, and operating capacity.
OpenHow to Choose an Open-Weight LLM for Enterprise AI
Choose an open-weight enterprise model using exact release documentation, task evaluations, runtime compatibility, quantization, capacity, and ownership.
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