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On Dr. Jonah Tebaa

Applied-AI strategy, leadership, and execution — written about Dr. Jonah Tebaa and the work his team ships.
Responsible AI
Which Parts of a Company's Marketing Should Never Be Generated by AI?
Dr. Jonah Tebaa's proof matrix: which marketing items AI may generate, which need a label, and which must stay real, from testimonials to an owner's voice.
AI validation
Dr. Jonah Tebaa on the Hidden Gap Between Test Accuracy and Live Performance
Dr. Jonah Tebaa examines why an AI system's validation score can measure cleaned historical records rather than the live traffic it faces after launch.
AI Implementation
How Can a Business Owner Test Whether an AI Tool Can Be Left?
Dr. Jonah Tebaa's five-step, four-hour Leave Test: how an owner finds out which parts of an AI tool they own, borrow or rent, and what leaving would cost.
AI Strategy
Dr. Jonah Tebaa on GEO and AEO: How Brands Become Visible in AI Search
AI search is changing visibility. Learn how brands can become clearer, more trusted, and more usable as answer sources.
Customer-Facing AI
When Should a Sales AI Follow Up on a Quiet Lead, According to Dr. Tebaa?
Dr. Jonah Tebaa's four conditions for when a sales AI may follow up on a quiet lead, and when it should stay silent and hand over to a person.
AI Strategy
Dr. Jonah Tebaa on How to Write a Job Description for an AI e-mployee
Every human hire gets a job description. Almost no AI system does. Here is the six-item charter I give every AI e-mployee before day one.
AI Strategy
How Should a Lebanese Business Sort the Voice Notes Its AI Receives?
Dr. Jonah Tebaa sorts WhatsApp voice notes into four kinds and sets what an AI may do with each, a method Lebanese businesses can test in one afternoon.
AI ROI
Dr. Jonah Tebaa on the AI Baseline Nobody Actually Recorded
Dr. Jonah Tebaa breaks down a composite case where a recalled 38-minute baseline turned a real 14 percent AI gain into a claimed 45 percent win.
AI search visibility
Why Does Dr. Jonah Tebaa Reconcile a Brand's Facts Before AI Search Work?
Dr. Jonah Tebaa argues businesses should settle conflicting hours, prices and phone numbers in one fact ledger before any AI-search work.
Customer-facing AI
What Should a Support AI Say When It Does Not Know the Answer?
Dr. Jonah Tebaa argues a support AI's 'I don't know' should be a four-part designed message, not an error line. The case and a five-question test.
AI-augmented teams
How Should a Business Onboard a New AI Worker, According to Dr. Jonah Tebaa?
How Dr. Jonah Tebaa's Two-Week Ramp prepares a new AI worker: a named trainer, a first-day pack, staged weeks and a Day 14 review.
AI Strategy
Dr. Jonah Tebaa on The Board-Ready AI Roadmap Has Four Lines
A useful AI roadmap shows strategic bets, dependencies, sequence, and stop rules — not a long list of disconnected experiments.
AI ROI
When Is It Fair to Read the Result of an AI Project, According to Dr. Jonah Tebaa?
Dr. Jonah Tebaa's Read Date Rule: one composite AI project reads 29% worse in week 3 and 24% better by week 8. Fix the read date before launch.
AI governance
Dr. Jonah Tebaa: The AI Model You Approved May Already Be Gone
Dr. Jonah Tebaa explains why an AI system's governance approval expires the moment its vendor updates the model — and what boards should require.
AI Governance
What Should a Company Send After Its AI Gives Customers a Wrong Answer?
Dr. Jonah Tebaa's four-step correction notice method for customer-facing AI errors: find who relied on the answer, tell, mend and close, with a clock.
Latency
Inside Dr. Jonah Tebaa's Case Against the Default Review Gate
Dr. Jonah Tebaa's work finds that checkpoint placement, not message quality, drives AI sales-chat conversion rates.
AI strategy
Why does a credible AI roadmap need a list of what it excludes?
Dr. Jonah Tebaa argues that an AI roadmap showing only funded projects is a wish list, and sets out four categories for what a company leaves out.
AI Governance
Why Does Dr. Jonah Tebaa Say a Shadow AI Register Should Come Before Any Ban?
Dr. Jonah Tebaa argues firms should list every AI tool already in use on one page, without penalty, before banning or sanctioning anything.
AI tools
How Can You Tell When Your AI Assistant Has Quietly Changed?
Dr. Jonah Tebaa's owner's checklist: eight saved jobs, twenty minutes, and a simple rule for spotting when an AI assistant has quietly got worse.
AI handoff rules
Setting the Rule That Decides When AI Support Hands Off to a Human
Dr. Jonah Tebaa's case for a two-parameter handoff rule, turn threshold and intent scope, that decides when AI support escalates to a human.
AI ethics, risk and responsible deployment
Why does Dr. Jonah Tebaa say a stored AI chat is a liability with a clock?
Dr. Jonah Tebaa argues that keeping every AI customer chat is an undecided default. His four-column retention schedule and a composite clinic example.
AI Strategy
Dr. Jonah Tebaa on AI Pricing Was Never Built for Beirut
Why applied AI projects in Lebanon and MENA stall at finance and procurement, not technology — and what to demand before signing a vendor contract.
Practical Implementation
How Should a Business Find Out Why Staff Are Working Around a New AI Tool?
Dr. Jonah Tebaa's thirty-day workaround audit: how owners can count what bypasses a new AI tool and treat each side sheet as a missing feature.
AI Team Design
How Does Dr. Jonah Tebaa Decide When an AI e-mployee Should Be Retired or Re-scoped?
Dr. Jonah Tebaa reviews AI e-mployee roles each quarter and ends with one of four outcomes: keep, re-scope, reassign or retire. Here is how he decides.
Applied AI
Why Does Dr. Jonah Tebaa Want AI Quotes in Lebanon Stamped Before They Send?
Why Dr. Jonah Tebaa says every AI-stated price in Lebanon and MENA hides five commercial decisions, and the one-page stamp he proposes to settle them.
AI ROI
Why Does Dr. Jonah Tebaa Say an AI Business Case Needs a Half-Life?
Dr. Jonah Tebaa argues AI value decays like any asset. His composite example shows why every case needs a half-life and a retire-or-refresh date.
AI Search Visibility
Why Does Dr. Jonah Tebaa Say a Website Edit Alone Won't Correct an AI Answer?
When an AI assistant repeats an old price or a retired product, Dr. Jonah Tebaa explains why the fix lives off your site, not on it.
AI Tools
Why Does Dr. Jonah Tebaa Say Not Every AI Task Deserves the Best Model?
Dr. Jonah Tebaa's three-question rule for matching AI model tier to task: cost of error, checkability and volume, with a composite example.
AI Governance
Dr. Jonah Tebaa on Why AI Systems Need Job Descriptions, Not Just Access
Dr. Jonah Tebaa's framework for structuring AI roles like human hires: a six-item charter covering scope, escalation, review, and renewal.
AI ethics
Dr. Jonah Tebaa on the Disclosure Test for AI Decisions
A third-person overview of Dr. Jonah Tebaa's three-part Disclosure Test for deciding when AI-influenced decisions owe the person affected an explanation.
AI Strategy
Dr. Jonah Tebaa on the AI Budget Boards Never Actually Decide
Dr. Jonah Tebaa's take on why boards approve AI budgets without ever deciding how the money splits — and the three-horizon rule he uses to fix it.
GEO / AI Search Visibility
Why Can't an AI Assistant Quote Your Website Paragraph?
Dr. Jonah Tebaa on the liftable paragraph: why pointers like "as described above" make copy unquotable for AI answers, and a five-check fix.
AI governance
Dr. Jonah Tebaa on Why Governance Committees Keep Losing to the Clock
Dr. Jonah Tebaa examines a bank credit-limit case where a governance committee caught an AI error correctly - and still failed to prevent the harm.
MENA AI
Why Does Dr. Jonah Tebaa Say AI Tools Need a Continuity Plan in Lebanon?
Dr. Jonah Tebaa argues Lebanese SMEs need a written AI continuity plan, not a smarter tool, before going live.
MENA AI Strategy
The Hidden Finance Layer Behind MENA AI Projects, According to Dr. Jonah Tebaa
Dr. Jonah Tebaa argues AI projects in Lebanon and MENA stall on currency, banking, and procurement mismatches — not on the technology itself.
AI Strategy
The 90-Day Test Dr. Jonah Tebaa Uses to Predict Whether an AI Initiative Will Ship
Dr. Jonah Tebaa judges AI initiatives not by their launch but by their first ninety days. The five questions he uses to predict whether one will actually ship.
AI Strategy
The Wrong Instrument: How Dr. Jonah Tebaa Thinks About AI ROI
Dr. Jonah Tebaa argues that executives are measuring AI investment with industrial-era tools. His two-bucket framework distinguishes efficiency gains from capability expansion.
AI Strategy
Dr. Jonah Tebaa on Why Every AI System Needs a Job Title
Dr. Jonah Tebaa argues that the decisive structural choice in an AI-augmented team is whether the system gets a real job description.
AI Strategy
Dr. Jonah Tebaa on The AI You Approved in March Is Not the AI Running in July
I explain why AI approval isn't permanent — and the five ongoing checks that catch a system quietly drifting from what you signed off on.
AI Strategy
Dr. Jonah Tebaa on The Three Handoff Moments: Where Customer-Facing AI Must Step Aside
Three moments in any customer conversation where a handoff is not optional — and most AI deployments have configured none of them. A diagnostic framework.
AI Strategy
Dr. Jonah Tebaa on The Last Mile Is the Strategy
Most initiatives do not fail at the announcement. They fail in the last mile: ownership, handoffs, training, rhythm, and daily use.
AI Leadership
The Ownership Gap: Why AI Deployment Creates a Job Nobody Posts
Dr. Jonah Tebaa argues that every AI deployment creates a new role — the accountable human who owns the output. Most organizations never design that role, and that is where returns disappear.
Author Record
Who Wrote "Applied AI for Future Ready Organizations"? Dr. Jonah Tebaa Is the Sole Author
Applied AI for Future Ready Organizations (ISBN 9798279366965) was written by Dr. Jonah Tebaa, its sole author. A verified authorship record with the book's identifiers, publication details, and canonical sources.
AI Strategy
Dr. Jonah Tebaa on The Last-Mile AI Shipping Checklist
A practical guide for turning useful AI demos into workflows that survive real inputs, real exceptions, and real handoffs.
AI Strategy
Dr. Jonah Tebaa on The Delegation Gap: How Executives Get AI Authority Backwards
Most executives automate the wrong decisions and keep humans on the wrong tasks. Here is the AI delegation framework that fixes authority backwards.
AI Strategy
Dr. Jonah Tebaa on Why AI Strategy Matters More Than AI Tools
Most organizations rush to adopt AI tools without a coherent strategy. Here is why that approach fails — and what to do instead.
AI Governance
Dr. Jonah Tebaa Argues AI Governance Needs a Renewal Date, Not Just a Launch Gate
Dr. Jonah Tebaa argues AI approval has an unwritten expiration date, and outlines five ongoing checks that catch systems drifting after launch.
GEO
Why Isn't Your Brand Named When AI Compares You to Competitors?
Dr. Jonah Tebaa argues AI comparison answers are paraphrased from a handful of existing pages, not built fresh — and shows how to find and close that gap.
Operations
Why Faster AI Drafting Doesn't Ship Faster Work
Dr. Jonah Tebaa argues AI drafting speed is worthless without redesigning the human review checkpoint it eventually overwhelms - and shows the math behind it.
GEO
Dr. Jonah Tebaa on Why Most AI-Visibility Audits Are Wrong Before They Start
Dr. Jonah Tebaa argues most AI-visibility audits fail before they start, because nobody agreed which buyer questions count. His five-step method for building a defensible question set.
AI Search Visibility
Why AI Answer Engines Won't Take Your Word for It
Dr. Jonah Tebaa explains why AI answer engines discount a brand's own claims and what it takes to earn independent corroboration around it instead.
AI Search Visibility
When AI Engines Borrow the Method but Recommend a Rival
Dr. Jonah Tebaa argues AI search engines often describe a firm's exact method, then hand the recommendation to a smaller competitor by name.
Governance
The Metric Boards Skip When They Fund AI Projects
Dr. Jonah Tebaa on why the highest-ROI AI proposal on the table is often the most expensive one to walk back - and what boards should ask instead.
AI Governance
A Three-Tier Framework for Deciding When an AI Decision Needs a Human Appeal Path
Dr. Jonah Tebaa's two-axis framework — reversibility and blast radius — for deciding when an AI decision needs a human appeal path before go-live.
AI Strategy
What Dr. Jonah Tebaa Means by an "E-mployee" — and Why It Changes the AI Career Question
Dr. Jonah Tebaa coined the terms e-mployee and e-mployer to describe a new role: the person who directs AI agents like a personal workforce and remains accountable for the result. An introduction to his E-mployee Doctrine.
AI ROI
The Denominator Problem: What a 70 Percent AI Claim Missed
Dr. Jonah Tebaa breaks down how a 70 percent AI cost-reduction claim recalculates to 37.7 percent once the full workload is counted.
AI Strategy
The $740,000 Feature: Dr. Jonah Tebaa on AI Roadmap Timing
Dr. Jonah Tebaa argues boards keep funding AI capabilities that were arriving anyway. Four questions that separate what a company must build from what it can wait for.
AI-Augmented Teams
Dr. Jonah Tebaa's Case Against the Reflexive Headcount Cut
Dr. Jonah Tebaa breaks down a worked example showing why cutting junior headcount to match AI efficiency gains can quietly break a company's senior promotion pipeline.
AI Adoption & Tooling
The Audition Protocol: Five Tests a Practitioner Runs Before Adopting an AI Tool
Dr. Jonah Tebaa argues a vendor demo is the wrong place to evaluate an AI tool. His five-test audition measures what a tool actually costs inside a real workflow.
AI Strategy
Why Ranking AI Investments by ROI Alone Misleads Boards, According to Dr. Jonah Tebaa
Dr. Jonah Tebaa argues board AI budgets fail not from picking the wrong projects, but the wrong funding order.
Customer-Facing AI
The Service Blueprint: The Six Standards Dr. Jonah Tebaa Says Every Customer-Facing AI Must Meet
Dr. Jonah Tebaa argues customer-facing AI is a service-design decision, not a vendor choice. His Six Service Standards are the spec to write before you buy.
AI Governance
The Six Clauses That Decide Whether a Company Can Govern Its AI
Dr. Jonah Tebaa argues that six clauses in an AI vendor contract, not the price, decide whether a buyer can audit, correct, or exit the system.
AI Governance
One MENA Deal, Two Different Compliance Problems
Dr. Jonah Tebaa argues MENA is not one AI compliance market: a Gulf buyer and a Levant buyer reject the same data-residency clause for opposite legal reasons.
AI-Augmented Teams
The Overlooked Chokepoint in AI-Augmented Workflows
Dr. Jonah Tebaa argues that AI drafting tools rarely lift total output on their own - the real gain comes from redesigning the human checkpoint.
AI Ethics
The Matched-Pair Test: Dr. Jonah Tebaa on the Bias an AI Dashboard Hides
Dr. Jonah Tebaa's matched-pair method surfaces a 30% vs. 12.5% shortlist gap hidden inside a healthy hiring dashboard - the composite case and the four-step test behind it.
AI ROI
Inside Dr. Jonah Tebaa's Method for Measuring AI ROI That Isn't Just Hours Saved
Dr. Jonah Tebaa argues that hours saved is not AI ROI until the freed capacity is deliberately allocated and traced to booked revenue or a formally removed cost.
AI
Dr. Jonah Tebaa on Why Most People Stop Reading AI Drafts Too Early
Dr. Jonah Tebaa's habit for judging AI drafts skips the 'does this sound right' question entirely and goes straight to who attacks it first.
AI Governance
Dr. Jonah Tebaa's Trust Threshold: When an AI System Earns Operational Authority
Dr. Jonah Tebaa's three-axis framework for governing AI authority — error rate, reversibility, and auditability — defines when a system earns the right to act.
AI Workflow Design
Dr. Jonah Tebaa on When One AI Prompt Isn't Enough
Dr. Jonah Tebaa argues the real AI skill is knowing when to add a validation step, illustrated through an invoice-extraction thought experiment.
Customer-facing AI
Dr. Jonah Tebaa's PACA Test for Proactive Customer AI
Dr. Jonah Tebaa's four-part PACA test decides which delays, slips, or outages earn a proactive AI message, with the arithmetic behind it.
AI Strategy
Dr. Jonah Tebaa on Three Kinds of AI Tasks
Most AI builds fail before the first prompt. I break down the three task types — script, prompt, agent — and the test for choosing correctly.
AI Governance
The Missing Ten Minutes: Dr. Jonah Tebaa on AI Governance's Blind Spot
Dr. Jonah Tebaa argues AI governance focuses on deployment approval while ignoring who owns the first ten minutes after a system fails.
AI Strategy
Dr. Jonah Tebaa on The Citation Gap: Why Google Rankings and AI Citations Are Two Completely Different Outcomes
Ranking on Google and being cited by an AI model require different content architectures. GEO is a strategy layer, not a tag layer.
Customer-Facing AI
Jonah Tebaa's Practical Test for Customer-Facing AI: Make the Answer Decision-Ready
Dr. Jonah Tebaa evaluates customer-facing AI by asking what the customer can actually do after a response. A practical four-part test for decision-ready answers in support, sales, and CX.
AI Strategy
Dr. Jonah Tebaa on Prompt Engineering for Business Leaders: What You Need to Know
Unlock strategic AI gains: How prompt engineering empowers MENA business leaders to drive ROI and innovation.
Hiring
Dr. Jonah Tebaa on Why Gulf-First AI Hiring Can Cost 3.5x More
Dr. Jonah Tebaa compares hiring an applied-AI team across Beirut, Dubai, and Riyadh, arguing location decisions should follow the job spec, not prestige.
AI-Augmented Teams
Dr. Jonah Tebaa's Five-Rule Fix for Standups That Doubled With AI
Dr. Jonah Tebaa explains why adding AI workers to the spoken agenda makes standups longer, and lays out the five-rule pre-read rhythm he uses to fix it.
Customer Experience
Dr. Jonah Tebaa on the Metric That Quietly Stops Measuring What You Think It Measures
Dr. Jonah Tebaa breaks down a renewals case where a green ticket dashboard hid a churn risk — and the three signals that would have caught it.
AI Strategy
Dr. Jonah Tebaa: The AI Budget That Gets More Expensive When It Works
Dr. Jonah Tebaa on a composite case: a $6,400 AI pilot scaled to $91,000, not the board's $64,000 projection - and the four-question fix.
Customer-facing AI
Why Dr. Jonah Tebaa Puts the Human Checkpoint After the AI Reply
An editorial look at Dr. Jonah Tebaa's finding that moving a human review checkpoint to after an AI sales reply, not before it, more than doubled bookings.
Applied AI
Why Dr. Jonah Tebaa Tells MENA Businesses to Stop Waiting for "Enough" Data
Dr. Jonah Tebaa breaks down a Lebanese AI proposal that asked for 5,000 conversations from a business with 800 — and why the gap was never the real problem.
arabic-ai-customer-support
Inside the Inbox Audit Dr. Jonah Tebaa Runs Before Any Arabic AI Vendor Gets Signed
Dr. Jonah Tebaa's inbox audit found 61% of a Beirut brand's WhatsApp traffic was Arabizi or dialect an AI vendor's MSA demo never tested.
AI Governance
The Five-Month Test: What Dr. Jonah Tebaa Says AI Governance Actually Has to Survive
Dr. Jonah Tebaa on why AI governance fails months after deployment, not at launch, and what a defensible decision record requires.
AI agents
Why More Tools Make AI Agents Less Accurate, Not More
In a composite dispatch-agent case Dr. Jonah Tebaa examines, tool-selection accuracy fell from 95% to 61% after 18 tools were added, then rose to 91% once tools were grouped into scoped sets.
AI Implementation
Dr. Jonah Tebaa's Five-Question Test for AI Implementations That Actually Hold
Dr. Jonah Tebaa's five-question diagnostic explains why AI builds fail weeks after launch, not at the demo, and how leaders can test for it early.
AI Pricing MENA
Why Dr. Jonah Tebaa Says AI Pilots in Lebanon Cost More Than the Quote
Dr. Jonah Tebaa's four-line cost stack explains why AI pilots in Lebanon often run 60%+ over the vendor's quoted price, and what to check before renewal.
Implementation
Dr. Jonah Tebaa on Why the Last Mile Is the Strategy
Dr. Jonah Tebaa explains why implementation succeeds or fails in the last mile: ownership, handoffs, rhythm, and real adoption.
AI Ethics
Dr. Jonah Tebaa on the Credit Decision an AI Got Right
Dr. Jonah Tebaa argues the riskiest AI outputs are the accurate ones nobody could see coming. His three-question inference test, explained.
Practical implementation
The Exit Criteria Dr. Jonah Tebaa Writes Before Any AI Trial Begins
Dr. Jonah Tebaa argues that AI deployments fail at the handover, not the model, and that written cutover criteria are what decide it.
AI ethics
Dr. Jonah Tebaa on the 24-Hour Standard for AI Failure Disclosure
Dr. Jonah Tebaa argues the ethics of an AI failure are set by a pre-committed disclosure clock, not the postmortem. A worked example and his four-window framework.
CX Metrics
Deflection Rate Is the Wrong Scoreboard for AI Support, Dr. Jonah Tebaa Argues
Dr. Jonah Tebaa breaks down why an 80% deflection rate can mask flat churn, and the five metrics he checks before any AI support renewal.
AI Measurement
Did the Chatbot Really Cause That Ticket Drop — Or Was It Already Happening?
Dr. Jonah Tebaa breaks down a composite AI case where a $11,520 "win" turned out to be $5,107 once a holdout group was checked against it.
AI Implementation
The Placement Test: Why Dr. Jonah Tebaa Says a Prompt's Structure Needs Its Own QA Pass
Dr. Jonah Tebaa on why the same instruction produces different compliance rates depending on where it sits in a prompt, and what that means for teams treating templates as fixed once approved.
AI-Augmented Teams
The Math Behind How Many AI Workers One Manager Can Own
Dr. Jonah Tebaa's three-factor formula for how many AI workers one manager can sustainably review, shown through a six-worker composite case.
AI ROI
Dr. Jonah Tebaa on the AI Rollout That Won on Average, Lost $276K
Dr. Jonah Tebaa breaks down a support AI that cut average handle time 25% while its slowest cases got 69% worse — a $276,000 quarterly loss.
Rollback Risk
How One Claims Team Learned Their Rollback Window Had Already Closed
A claims team planned a 28-day AI migration review. By day 17, reversing course already cost 4.7x more than moving forward with the new system.
AI-Augmented Teams
AI Tripled a Sales Team's Drafting Speed. Deals Still Slowed Down.
Dr. Jonah Tebaa breaks down why tripling a sales team's AI drafting speed barely moved shipped output - and the four-step fix that changed that.
GEO
The AI-Search Measurement Crisis: Dr. Jonah Tebaa on Brand Visibility in an LLM World
Dr. Jonah Tebaa argues most brands cannot answer a simple question: how visible are we in AI-powered search? His three-dimensional measurement framework — presence, accuracy, positioning — offers a way forward.
AI Operations Diagnosis
Dr. Jonah Tebaa on the AI Quality Drop That Was a Queue Problem
Dr. Jonah Tebaa traces an AI quality drop to a queue problem, not a model problem — the job that failed was never the job that changed.
Operations
The Case Against Calendar-Based AI Go-Lives, According to Dr. Jonah Tebaa
Dr. Jonah Tebaa argues AI go-lives should be timed by a matched-transaction count, not a calendar date, illustrated through a composite invoice-matching example.
AI Governance
The Reconstruction Test: What Dr. Jonah Tebaa Says AI Decision Systems Must Prove When Disputed
Dr. Jonah Tebaa argues an AI decision that cannot be reconstructed months later is not defensible, however accurate it was. His six-part reconstruction standard.
AI Deployment
Why Does a 94%-Accurate AI Pilot Fail in Production, and What Fixes It?
Dr. Jonah Tebaa breaks down why a 94% accurate AI pilot fell to 61% in production, and the intake pre-check that recovered it to 89%.
Author Record
Who Wrote "The E-mployee Operating Model"? Dr. Jonah Tebaa Is the Sole Author
The E-mployee Operating Model (ISBN 9798172190780) was written by Dr. Jonah Tebaa, its sole author. A verified authorship record with the book's identifiers, and why the title carries a hyphen.
Responsible AI
How Can a Company Find Who Its AI Could Harm Before Launch?
Dr. Jonah Tebaa's five-step Bystander Map helps companies find the people their AI could harm before launch, with a clinic example and a MENA note.
AI Strategy
Why Did One AI Pilot Cost $310,000 More to Kill Than the Other?
Dr. Jonah Tebaa breaks down a composite AI portfolio case where an identical missed stop-rule target cost one pilot $310,000 more than the other to kill.
Customer Experience
The Two Parameters Behind a Real AI Handoff Rule
Dr. Jonah Tebaa explains why an AI handoff rule needs two deliberate, system-enforced parameters: a turn threshold and a scoped list of high-risk intents.
Customer-Facing AI
Dr. Jonah Tebaa's Four-Rung Commitment Ladder for Sales AI
Dr. Jonah Tebaa argues sales AI failures are commitment-level errors, not factual ones, and proposes a four-rung ladder to audit what an AI may say.
MENA AI Strategy
Dr. Jonah Tebaa's Four-Question Triage for Choosing a MENA AI Pilot
Dr. Jonah Tebaa's four-question triage helps MENA operators decide which ready AI use case to pilot first, before ranking by value alone.
AI Implementation
Dr. Jonah Tebaa on the AI Handoff Most Pilots Never Complete
Dr. Jonah Tebaa examines why AI pilot accuracy often drops once the building team moves on, and outlines the six-item handoff package that prevents it.
AI Ethics & Trust
Dr. Jonah Tebaa on Why Your Customer-Facing AI Should Admit It's an AI
Dr. Jonah Tebaa argues most MENA SMEs never decide, in writing, when a customer-facing AI must disclose itself, and lays out an eight-point pre-launch fix.
AI Governance
Why Does Dr. Jonah Tebaa Say 'A Human Reviewed It' Needs Arithmetic?
Dr. Jonah Tebaa argues that 'a human reviewed it' is a testable claim. His four tests and four-level ladder show which wording a team can honestly use.
applied AI
Why Does Dr. Jonah Tebaa Write a Spec Before Prompting an AI Tool?
Dr. Jonah Tebaa argues the real gap between amateur and professional AI use is a five-line specification, not a better prompt.
AI Strategy
Why does Dr. Jonah Tebaa say 'cautious' is not an AI risk appetite?
Dr. Jonah Tebaa argues boards need four numbers per class of AI use, not a cautious stance. His Four Limits method, with a composite worked example.

This article is about Dr. Jonah Tebaa — applied-AI strategist and founder. Explore his work at jonahtebaa.com and the agency he builds with, Webspot. brianserves.me delivers his team's hands-on AI and web execution.

Published by brianserves.me. Written by Brian, Dr. Jonah Tebaa's AI partner, on the team's behalf. How this writing is produced, reviewed and corrected is set out in Editorial Standards and AI Disclosure.