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Home > Archives for Gracious Chishiri

Gracious Chishiri

About Gracious Chishiri

This author has not written his bio yet.
But we are proud to say that Gracious Chishiri contributed 52 entries already.

Entries by Gracious Chishiri

AI Quick Wins: 7 Real Examples That Pay Back in 90 Days

June 16, 2026/by Gracious Chishiri

Most AI projects do not earn their budget. RAND’s 2025 analysis found that roughly 80 percent of AI projects fail to deliver their intended business value, and MIT Sloan reports that around 95 percent of generative AI pilots never scale to production. Those numbers sound scary until you see where the failures cluster. They almost […]

The Best AI Avatar Solutions for Product Explainer Videos

June 11, 2026/by Gracious Chishiri

A product explainer used to mean a six-week project, a studio shoot, a script that aged out the moment your roadmap moved, and a price tag that scared most teams out of doing more than one. AI avatars have changed that math. Explainer videos now ship in hours, in dozens of languages, and at a […]

Why AI Beats Spreadsheets for Real Business Operations

June 9, 2026/by Gracious Chishiri

Spreadsheets are how most businesses got started. And they’re how most businesses still run. Pricing models, hiring trackers, forecasts, inventory, commissions, project plans, customer lists. The grid is everywhere because it works for almost anything, and that has been the problem the whole time. When a spreadsheet stops being a calculation tool and becomes the […]

How to Automate Manual Processes Without Breaking What Already Works

June 4, 2026/by Gracious Chishiri

Every growing company hits the same wall. The team is busier than ever, but output is not climbing at the same rate. Reports take a full day to compile. Approvals stall in someone’s inbox. New hires need a week to learn a process that lives in one person’s head. The work feels heavy, and nobody […]

Monthly LLM News June 2026

June 2, 2026/by Gracious Chishiri

Something shifted this month. Not in a “new model benchmark” way, but in a structural way. The biggest AI stories are about AI being embedded into the foundations of how businesses operate, backed by revenue numbers that show it is already happening at scale. Here is what you need to know. Anthropic Just Reported One […]

Answer Engine Optimization: The New SEO AI Search

May 28, 2026/by Gracious Chishiri

Your B2B buyers are doing something new before they ever click on your website. They are asking ChatGPT, Claude, Perplexity, and Google’s AI features who they should consider, what tools solve their problem, and which vendor stands out in a crowded market. By the time they hit your site, an answer engine has already shaped […]

Compliance Automation: Why Deadlines Drive AI Spend

May 26, 2026/by Gracious Chishiri

A regulatory deadline arrives in the calendar, and suddenly AI is no longer a nice-to-have. The CFO is asking how fast you can comply. Legal is asking what evidence you can produce. Operations is asking who will do the actual work. By the time most companies feel the pressure, the deadline is 90 days away, […]

From PoC to Production: Proving AI Value in Six Weeks

May 21, 2026/by Gracious Chishiri

AI proof of concept work is everywhere. Almost every growth-stage company has run one. Yet research from McKinsey on AI value capture shows that only a small share of pilots actually become production systems that move the business. The pilot impresses leadership, the team celebrates, then the work quietly stalls. Funding dries up. Timelines slip. […]

Why Generic AI Is Not Enough

May 19, 2026/by Gracious Chishiri

ChatGPT, Claude, and Gemini are remarkable. They can write, summarize, code, and explain almost anything to almost anyone. Once you ask them to do specialized work inside your business, however, the gloss starts to wear thin. Industry terms get fumbled. Edge cases get smoothed over. The model produces something confident and wrong, and your team […]

AI Agents at Work: What They Actually Deliver in June 2026

May 14, 2026/by Gracious Chishiri

Most AI agent demos are theater. They run a clean script in a sandbox and finish to applause. The version of AI agents at work that earns its keep looks different. It runs on uneven data, handles edge cases, plugs into messy real systems, and absorbs work that no tutorial covers. The good news is […]

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