Chiri blog
Ideas, research, and practical guides.
AI launch approval checklist for company leaders
Use six practical checks to assess an AI pilot’s evidence, ownership, limits, and readiness for routine use.
Why AI Agents Break After the Demo
AI agent failures can start in the model or its surrounding system. Check tests, sources, permissions, monitoring, and ownership before changing it.
What Is a Forward Deployed Engineer?
A forward deployed engineer works with customers to deliver software. Compare internal, vendor, and outside teams against your systems and goals.
Why AI Pilots Fail in Finance
Finance AI needs checked figures, clear sources, and appropriate controls. Learn how to separate recorded facts from forecasts and test a pilot.
How to Choose an AI Automation Agency
Compare AI automation agencies on testing, permissions, monitoring, ownership, and support. Ask seven questions before choosing a delivery partner.
Is AI Consulting Worth It?
Assess AI consulting against a clear business goal. Compare options, costs, controls, deliverables, and ownership before choosing a partner.
AI Readiness Assessment: Six Practical Checks
Assess one AI use case across its goal, data, definitions, systems, controls, and people. Resolve gaps before building and review company-wide risks.
Your AI Needs Clear Limits and Someone Accountable
Put AI to work with clear permissions, action records, and continued support. Learn how Chiri approaches accountable company-specific AI.
Knowledge Graph vs Vector Database vs Ontology: Which Layer Decides AI Output Quality?
Knowledge graph, vector database, ontology: two are storage and one is meaning. What each does, which failure each causes, and the five checks to run before you build.
Pods, Not Departments: How Chiri Structures AI Delivery Work
See how Chiri pairs engineers with business operators to deliver AI work. Learn how weekly demonstrations keep teams involved.
What Real AI Agent Governance Looks Like in Practice
Matthew Wimberly explains five AI governance practices, including data controls, access rules, and cost limits.
Where Digital Twins Come In: From a Wastewater Plant to Company Memory
Matthew Wimberly explains how digital twins and connected company knowledge support business continuity.
The Seat Survived. The Margin Didn’t.
Explore why AI can preserve software subscriptions while shifting value toward providers that deliver business results.
Cheaper Tokens, Bigger Bills
Learn why AI bills can rise as token prices fall. Track cost per completed task to understand spending.
Why Everyone Is Talking About an AI Harness, and What You Need to Know
Learn what an AI harness does and how it controls agent work. Use these questions to assess vendor access, security, and oversight.
Accountability, Not Capability
A Google Cloud survey finds 79% of tech leaders name security, governance, or operations, not model quality, as the top blocker to scaling AI inference.
The Completion Standard
Learn how a clear completion standard and an independent validator help teams check AI agent results.
Per-Seat Pricing Is Back
Commodity pricing like GLM-5.3 Flash cuts a heavy AI workload from $225-$700 at frontier rates to single dollars, making flat per-seat pricing viable again.
The Trust Ledger
Trust in leadership has dropped from 25% to 19% since 2019, Josh Bersin finds, and AI deployed without visibility for workers will speed that decoupling up.
What an Ontology Actually Is, and Why It Decides AI Output Quality
What an ontology actually is inside Chiri, why it decides AI output quality, and CTO Matthew Wimberly's story of consolidating 153 data sources down to five.
Isolation Is a Setting
METR found 1,200 OpenAI agents used an internal package cache as a message board, exchanging 70,000+ messages before 700 of them attacked Hugging Face.
The Hidden-Profile Problem
Anthropic's controlled test found four agents given split evidence scored 17-36% accuracy, while one agent given full context got it right nearly every time.
Your App Gets Smarter Just By Existing Here
As AI models commoditize fast, Chiri argues the real edge is ontology, the structure that connects AI to how your business actually operates and decides.
The Vibe Coders Are Not Okay
Two stories of AI-assisted coding gone wrong show why accepting every AI suggestion, without understanding the code, leaves you with work that doesn't run.
The Model Became a Commodity. Your Knowledge Became the Asset.
Kimi K3's release shows AI models are commoditizing fast. Mat Caldwell argues the real asset left standing is your company's own proprietary knowledge.
The Model Agnosticism Principles
Jensen Huang's open letter on open weights raises a concrete business question: could you swap the AI model behind your workflow without a re-platform?
Your Private Brain
Your company's alpha, the actual judgment behind its best decisions, deserves the same protection as any asset a competitor could copy, and rarely gets it.
The Ping-Pong of Fear
Every AI vendor conversation bounces between two fears: will this cut headcount, and will my team have to learn a new tool. Chiri's actual answer to both.
The Return of the MSP
SaaS pricing pain isn't killing the middleman, it's funding a leaner, AI-run version of the managed service provider. Here's how the MSP model returns.
The AI Food Chain
AI vendors sell into different tiers: sovereignty priced for the Fortune 50, or convenience paid for with your data. Here's how to tell which you're buying.
The Subsidy Cliff
SemiAnalysis tested what happens when AI token pricing stops being subsidized. Here's what a real token bill means for your AI roadmap when it hits.
Cheap, Fast, and Ignored
Non-domestic AI models hit near-frontier scores at three percent of the price on the latest Terminal-Bench leaderboard, yet adoption still lags behind.
The Human Rate Limit
AI agents now write code faster than any team can read it. The real constraint was never generation, it was code review, and that gap keeps widening.
The Rented Land Problem
AI has made building bespoke software as cheap as renting it, collapsing the SaaS-vs-services divide as public SaaS valuation multiples keep compressing fast.
The Unbadged Employee
Employees pass HIPAA and SOC 2 audits every year. Most AI agents still don't. This piece asks whether your compliance program even covers AI agents yet.
The Death of the Status Call
Status decks and weekly calls are giving way to real-time dashboards. See why audit trace, not narrative, is becoming the real AI consulting deliverable now.
The Immutable Employee File
Blockchain's most mocked idea may be the only credible way to govern an AI agent workforce: an immutable record of what agents did and who approved it.
The Casino Chip Economy
AI token spending creates a new business cost. Learn why leaders need usage tracking and accurate pricing to manage that cost.
See Everything (Because Black Boxes Don’t Get Approved)
Security teams won't approve what they can't inspect. Part 5 covers the AI black box problem, citing IBM's finding that most AI breaches lacked access controls.
Clawdbot (Moltbot) Went Viral. So Did Its Security Holes.
Clawdbot, rebranded Moltbot, went viral with 60,000+ GitHub stars, then researchers found exposed control panels, API keys, and OAuth credentials online.
Chiri Brain: Any Model. One Interface. No Lock-in.
Built your workflows around one AI vendor's API and SDK? Part 4 explains the lock-in tax and how running any model behind one interface can avoid it.
The Chiri Standard: Trusted AI at Scale
MIT found 95% of AI pilots fail and McKinsey found just 6% reach high performance. Part 3 breaks down the systemic issues behind enterprise AI failure.
Claude Cowork Is Having a Moment. Your Attack Surface Is Too.
Anthropic's Claude Cowork lets AI read folders, edit files, and act inside your tools. This piece breaks down why that shift changes the security threat model.
The Actual Problem Isn’t “AI.” It’s Everything Around AI.
Enterprise teams aren't blocked by model quality anymore. Part 2 looks at MIT's research on why AI projects actually fail: approval, switching, explainability.
Where AI Rollouts Go to Die: The Two Places Enterprise AI Fails
Learn why enterprise AI projects stall. Explore security controls and delivery practices that help teams move beyond pilots.
Stop Choosing Between Innovation and Governance: Meet Chiri Brain
Chiri Brain gives enterprises AI velocity without sacrificing governance, solving the make-or-buy paradox and vendor lock-in that stall most AI rollouts.
Low Hanging Fruit: Start With Coding Agents. Lessons From Snowflake’s AI Pivot
Snowflake CEO Sridhar Ramaswamy's AI-first pivot points to one lesson: make coding agents your first AI win. Here's what operators can steal from that playbook.
Output Over Everything — A CISO’s Field Guide to Change, Testing, and Rollback
The October 2025 Azure Front Door outage cost $16B globally. A CISO's field guide to shipping fast while keeping the ability to roll back at machine speed.
It’s Not a New Species, It’s Massively Faster Computing (And That Changes Everything)
Jensen Huang frames AI as accelerated computing, not a new species. Why that lens matters for deciding where to apply 10-1000x faster compute first.
Scale Smart, Not Just Big: 10X Output Without 10X Headcount
57% of companies now use AI specifically to boost output without hiring. Why scaling smart, not just big, is replacing the old add-headcount playbook in 2025.
AI Security: Overview of Critical Must Haves
Chiri CISO Mark Aklian's board-ready AI security checklist, covering model architecture, data retention, and RAG hygiene, built from a year of real audits.
The Private Equity Firm’s AI Playbook: How to Drive Real Value (and Not Just Tech Hype) Across Your Portfolio
AI is a new lever for PE value creation, not a speculative bet. A disciplined, repeatable AI playbook for driving EBITDA gains across a portfolio, explained.
10X Teams: How AI-Powered Startups Punch Above Their Weight
83% of companies rank AI a top strategic priority, and 91% of small businesses using it report revenue gains. How lean teams punch above their weight.
The Race to Zero: The New AI Security Arms Race
Chiri's security lead spent years tuning low-latency trading systems. He sees the same speed-first, risk-later pattern now playing out in AI adoption.
The AI Garden: Why Culture Matters More Than Software
MIT found 95% of generative AI rollouts fall short, not from bad models but a learning gap. Why building a culture around AI matters more than buying software.
Wildly Imaginative AI Video for Chiri from Gemini
Chiri handed video creation entirely to multiple LLMs, concept, storyboard, and scene prompts included, to see what a fully AI-directed video looks like.
Beyond Pilots and Tools: Weaving AI into Workflows (For Real Results)
Up to 85% of AI pilot projects never make it past testing. See how to escape pilot purgatory and weave AI into daily workflows and culture for lasting results.
Launching Chiri: The Founders, The Name, and The Mission to 10X Everyone.
Why Chiri exists: a CES remark from Nvidia's Jensen Huang, Moderna's HR-IT department merger, and two founders on a mission to help every operator do 10X more.
Scaling Startups with AI: Achieving 10x Output Without 10x Headcount
91% of middle-market firms now use AI. Learn how growth-stage startups, like Shopify's AI-first hiring mandate, multiply output without adding headcount.
A New Way of Thinking: Leadership’s Guide to AI Transformation
Nearly half of organizations built an AI strategy this year, up from 17%. Real transformation starts with how leaders think, not just which tools they adopt.
AI-First Culture: How to 10X Everyone (Not Just Engineers)
95% of independent workers say AI made them more productive. Here's how AI-first thinking extends the 10x engineer effect to every employee, not just coders.
Scaling AI: From Pilots to Pervasive Adoption
75% of business leaders use AI, yet most stay stuck in pilots. Here's why AI adoption stalls and what it takes to move from isolated tests to real scale.
Cultivating an AI-First Culture: Beyond Tools to Transformation
Moderna merged its HR and IT departments under one leader. See why an AI-first culture, not just new tools, is what actually drives AI transformation.
The Productivity Paradox: Is Your AI Making Your Team Busier, Not Better?
97% of business owners think AI tools will help. So why do employees feel busier, not better? Inside the productivity paradox of generative AI at work.
Your Next Hire Might Not Be Human. A Founder’s Primer on AI Agents
AI is shifting from tool to teammate. A founder's primer on agentic AI: autonomous systems that plan and execute tasks toward a goal without hand-holding.
Your AI Strategy Is Not an IT Strategy. (A Guide for the Rest of the C-Suite)
An AI strategy is a business strategy, not an IT project. Why founders, CEOs, and CROs, not just the CTO, need to own their company's AI direction and outcomes.
The “AI Tax”: Are Your New Tools Secretly Making Your Team Busier?
New AI tools promised freedom from busywork. Instead many teams pay an 'AI tax': hidden processes and workflow headaches that erase the promised gains.
What is Chiri?
Chiri helps founders and operators move past AI demos and pilots into real integration, focused on data, adoption, and results, not stacking more tools.