Insights on AI & Emerging Tech
Explore deep dives into generative models, machine learning ethics, and the future of automated enterprise workflows.
Is Enterprise Conversational AI Just a Business Version of Siri or Alexa?
No. Siri and Alexa are built for personal tasks on consumer devices. Business conversational AI connects to your systems, operates within your data, and handles multi-step workflows. The underlying technology overlaps, but the purpose, architecture, and scope are fundamentally different. Gartner research from late 2024 found that 85% of customer service leaders planned to explore […]
AI Knowledge Search for Distribution: Making Product Specs and Compliance Docs Findable
Distribution teams lose nearly a full workday every week hunting product specs, certifications, and supplier data across disconnected systems. AI knowledge search for distribution fixes that by connecting every document into one intelligent, searchable layer. McKinsey research found that employees spend 19% of the workweek, roughly 7.5 hours per person, searching for and gathering information […]
Conversational AI vs Generative AI: What Each One Actually Does
Conversational AI and generative AI are not the same technology. One manages structured dialogue and completes tasks. The other creates new content. Knowing which is which is the first step to choosing one that actually delivers. According to a Gartner survey of 187 customer service leaders, 85% planned to explore or pilot a customer-facing conversational […]
AI Consulting
How to Run an AI Use Case Discovery Workshop: A Facilitator’s Guide
AI use case discovery workshops help organizations identify where AI can create real business value. They bring teams together to explore potential use cases, connect AI opportunities to business goals, and determine which ideas are worth pursuing based on impact, feasibility, and priority. McKinsey’s 2025 State of AI survey found that 88% of organizations now […]
AI Use Case Prioritization Framework: Impact vs Effort Scoring
An AI use case prioritization framework helps businesses decide where AI can deliver the most value. It weighs potential impact against the effort, risk, and resources required. This gives teams a clearer path from AI opportunities to practical investment decisions. S&P Global and 451 Research report that organizations abandon 46% of AI proof-of-concept projects before […]
Where to Start With AI Consulting for Distribution and Wholesale Companies
Distribution and wholesale companies generate enormous data but rarely have a clear path to turning it into results. AI consulting gives you a structured way to identify where AI pays off, build a strategy, and reach production without burning the budget on pilots that never scale. Introduction Epicor’s survey of distribution executives found that 83% […]
AI Development
Building Custom AI Products for Distribution and Wholesale Companies
Distribution and wholesale businesses are sitting on operational data that AI can act on. Custom AI product development turns that data into faster decisions, lower costs, and workflows that actually fit how distributors operate. Distribution Strategy Group’s 2026 research found that 63% of distributors are still exploring or piloting AI, while only 27% are implementing […]
AI Fine-Tuning vs RAG: How to Choose The Right Approach for Custom AI Models
AI fine-tuning vs RAG is a data-architecture decision, not a model choice. Fine-tuning teaches behavior, format, and tone. RAG supplies current knowledge from outside the weights. Most production systems eventually need both. Enterprise data settles the debate faster than theory does. Across a survey of 600 US IT decision-makers, RAG reached 51% adoption while only […]
The Prompt Engineering Playbook: How to Get More Out of Every LLM Query
Prompt engineering turns unpredictable LLM output into reliable results by controlling context, structure, and constraints at the input layer. Master a handful of techniques, and the same model performs measurably better on real work. Give two engineers the same large language model (LLM) and the same task, and their results can diverge sharply. In a […]
Conversational AI
Is Enterprise Conversational AI Just a Business Version of Siri or Alexa?
No. Siri and Alexa are built for personal tasks on consumer devices. Business conversational AI connects to your systems, operates within your data, and handles multi-step workflows. The underlying technology overlaps, but the purpose, architecture, and scope are fundamentally different. Gartner research from late 2024 found that 85% of customer service leaders planned to explore […]
Conversational AI vs Generative AI: What Each One Actually Does
Conversational AI and generative AI are not the same technology. One manages structured dialogue and completes tasks. The other creates new content. Knowing which is which is the first step to choosing one that actually delivers. According to a Gartner survey of 187 customer service leaders, 85% planned to explore or pilot a customer-facing conversational […]
What Can AI & Automation Really Do for Your Contact Center in 2026?
Gartner projects conversational AI will cut $80 billion from contact center labor costs in 2026, yet only one in ten interactions runs fully automated. Here is what those conversational AI cost savings mean for mid-market operators, and what to do. Gartner projects that conversational AI deployments inside contact centers will reduce agent labor costs by […]
Agentic AI
Which Is the Best Agentic AI Company for Mid-Market Businesses?
No single vendor wins every evaluation. The best agentic AI company for mid-market businesses is the one that puts agents into production on your systems, proves the numbers, and stays accountable afterward. Sierra’s τ-bench study found that leading tool-calling agents solve fewer than half of realistic customer tasks, with consistency across eight repeat runs falling […]
Agentic AI for Sales Teams: What Autonomous Outreach Actually Looks Like Day to Day
Agentic AI sales systems research accounts, update CRM records, draft outreach, and route approvals without a rep asking. Most of that work happens quietly between meetings, across the whole selling day. Revenue teams reached for AI early, yet most still run on assistance rather than autonomy. The U.S. Census Bureau’s Business Trends and Outlook Survey […]
An Agentic AI Governance Starter Framework for Mid-Market Teams
An agentic AI governance framework helps teams define ownership, control permissions, monitor agent behavior, and establish oversight processes that keep autonomous AI agents reliable, secure, and accountable in real-world workflows. As AI agents move from simple assistants to systems that can take actions across business workflows, governance becomes a critical requirement. An agent that drafts […]
AI Built Responsibly for the Long Term
For every $1,000 in project revenue, Pinnasys funds verified reforestation initiatives through established environmental partners—aligning long-term business growth with measurable environmental responsibility.Learn More