Quick reminder. Tomorrow at 12:00 PM ET, we're running a live Kiingo AI Training Lab on the operational workflows that are quietly eating your team's time, and how AI eliminates them in days, not quarters.
We'll walk through the specific use cases where mid-market ops teams are seeing immediate results: vendor management and contract review automation, SOP documentation, internal ticketing and approvals, project status reporting, process documentation from company knowledge, and workflow bottleneck identification.
This one's for COOs, Operations Directors, and anyone responsible for making a company run without throwing more headcount at the problem. If you've been meaning to register, the window closes tomorrow morning.
Date: Tuesday, February 24
Time: 9am PT / 11am CT / Noon ET
Register here
This Week's AI Rundown
• OpenAI announced multiyear partnerships with McKinsey, BCG, Accenture, and Capgemini to deploy its Frontier AI agent platform. Early customers include Intuit, State Farm, Thermo Fisher, and Uber. (Fortune, CNBC)
• Anthropic launched Claude Code Security, which found over 500 vulnerabilities in production open-source code, some undetected for decades, now in limited preview for Enterprise and Team customers. (Anthropic)
• Google released Gemini 3.1 Pro, scoring 77.1% on ARC-AGI-2 (up from 31.1%) and taking the #1 spot on the Artificial Analysis Intelligence Index ahead of Claude Opus 4.6. (Google, TechCrunch)
• Online searches drop roughly 20% after people adopt ChatGPT, according to a London Business School and UCLA study cited in Harvard Business Review, with smaller websites hit hardest as consumers shift to conversational AI for product discovery. (Harvard Business Review)
• OpenAI is building AI devices with a 200+ person team, starting with a $200–$300 camera-equipped smart speaker targeting a 2027 launch. (The Information, Engadget)
• Apple is developing AI smart glasses with dual cameras and silent speech recognition from its $2B Q.ai acquisition, expected within the next year. (9to5Mac)
• Samsung is integrating Perplexity's AI agent into Galaxy AI for the S26 series, activating via "Hey Plex" across Notes, Calendar, and other built-in apps. (Engadget)
• AI literacy is trending in U.S. schools after the DOL released an AI Literacy Framework this month, with Microsoft pledging $4B and Google committing $1B for classroom AI tools. (New York Times)
Reality Check: The Workflow Gap That's Costing You Revenue
Gartner's 2026 workforce research puts two numbers side by side that tell the story: over 30 million jobs per year will be reshaped (not eliminated) by AI, and teams that rethink their workflows around AI are twice as likely to exceed revenue goals. Yet most companies are still handing employees tools and hoping for the best. Optimizing individual AI tool use alone doesn't drive growth. The difference is whether organizations invest in people who understand how work should evolve, not just which tool to use.
The bottleneck isn't AI capability. It's whether you're rethinking the work or just adding a tool to the old process.
Practical: Stalled Deals → Risk Triage + Re-Engagement Plan in 10 minutes
You have deals that stopped moving. Some went quiet after the proposal, some are "waiting on budget," some just ghosted. You're spending equal time on all of them when half probably aren't coming back.
AI can sort the recoverable from the dead faster than your weekly pipeline review. Try this with: CRM notes, email threads, proposal docs, or call summaries from the past 60 days.
Try both as a single prompt and by running each part separately. You'll often get better results starting with the triage first, then building to re-engagement.
Role: "Act as a sales operations analyst evaluating stalled deals for a [company size] [industry] company selling [product/service] to [buyer type]."
Task: "Analyze these stalled deals to sort them by risk level, identify why each one stopped, and give me a specific next step for each."
Context: "We have [X] deals that haven't moved in [X+ weeks]. Typical deal size is [$X], sales cycle is [X weeks]. Here are the details: [paste CRM notes or deal summaries]."
Format: Deliver:
RISK TRIAGE | Table: Deal Name | Value | Days Stalled | Risk (Green/Yellow/Red) | Why It Stalled
PATTERN SUMMARY | Top 3 reasons deals are stalling across the pipeline
RE-ENGAGEMENT PLAN | For each recoverable deal: what to say, what to ask for, and by when
WALK-AWAY LIST | Deals to stop chasing and why
Constraints: Distinguish stalled from dead; Flag deals where the real issue might be your proposal, not their timing; Identify patterns that suggest a repeating sales process problem.
Tip: Run this biweekly. Sales teams that systematically triage stalled pipelines recover 25% more revenue than teams that chase every deal equally.
Ready-to-Use Micro-Prompts
"What Do They Actually Want?"
Paste a confusing email, Slack message, or client request. Strip away the politeness, jargon, and hedging to identify what this person is actually asking for. Note if they're burying a complaint inside a question or making a request they don't feel comfortable stating directly. Return as: What they said + what they meant + the one-line reply that addresses the real ask.
Feedback Sharpener
Describe feedback you need to give someone but haven't because you can't find the right words. Include what happened, what you want to change, and your relationship to this person. Give me the exact sentences to say in person, not an email. Return as: Opening line + the core message in two sentences + how to end the conversation.
The Graceful "No"
Describe something you need to decline: a meeting, a project, a committee, a favor. Tell me who's asking and what you want to preserve about the relationship. Draft a response that says no without over-explaining, apologizing too much, or leaving the door open when you don't want to. Return as: Ready-to-send message + a shorter version if the first feels like too much.
Note from Andy (Digital Marketing Manager @ Kiingo AI)
A month ago, I was learning what Claude Code even was. This week I volunteered to demo my content automation system at the company show-and-tell.
That's not a brag. It's a timeline. Four weeks from "how does this work" to "let me show you how it works." And I'm not super technical. I came from an art & marketing background where the most complex tool I used was HubSpot.
What changed wasn't some breakthrough moment. It was reps. Use it, mess up, ask why, try again. Every day the gap between "what I asked for" and "what I got" shrank a little. Not because the AI got smarter, but because I did.
The adoption curve for AI tools is way shorter than most people think. Give yourself permission to experiment and make it work for you.
Kiingo AI
Kiingo is an AI consultancy & advisory firm that helps companies unlock real business value with artificial intelligence. From hands-on training to strategic planning and tailored implementation, we partner with growth-minded organizations to build AI fluency, generate more value per team member, reduce inefficiencies, and create lasting competitive advantage. We believe in humans, amplified by AI. Whether you're exploring AI for the first time or ready to scale your efforts, we'll meet you where you are and guide you forward with clarity, confidence, and results.
We help teams go from "we should probably use AI" to actually using it. If that sounds familiar, let's talk.


