Problems We Solve
Symptom-first guides. If something specific is going wrong with AI in your organization — agents with too much access, data walking out to frontier labs, costs that exploded, answers you cannot trust — start here.
6 articles → Core EngineeringAI Pipelines & Automation
How production AI systems are actually assembled — pipelines, agents, retrieval, evaluation, and the unglamorous engineering that decides whether a pilot ever ships.
6 articles → PlaybooksAutomating Your Sector
Process-by-process playbooks for automating whole functions: what to automate first, where the data lives, what breaks, and what the realistic time-to-value looks like.
7 articles → Risk & ControlsAI Security & Governance
Securing and governing AI once it can act — prompt injection, agent identity, data leakage, shadow AI, and the frameworks auditors will ask you about.
4 articles → ScreenComplyAssessment Integrity
What changed when candidates and students got real-time AI assistance, and how integrity is actually verified now.
2 articles → Physical AIRobotics & Computer Vision
Physical automation: machine vision inspection, autonomous tracking, and the practical limits of putting a camera and a model on a production line.
2 articles → Public SectorFederal & Public Sector AI
Deploying AI inside government constraints — authorization boundaries, procurement paths, and the compliance frameworks that gate every deployment.
2 articles → EconomicsCost, Pricing & ROI
Straight numbers on what AI work costs: consulting rates, build estimates, inference economics, and how to model return before you commit budget.
6 articles →Every article
AI Evals — How to Actually Measure Whether Your AI Works
Evaluation sets are what separate engineering from guessing in AI projects. Here is how to build one, what to measure, and why LLM-as-judge needs its own validation.
4 min read → AI Security & GovernanceAI Governance Frameworks — NIST AI RMF, ISO 42001 and the EU AI Act
What the major AI governance frameworks actually require, how they differ, and a practical order to approach them in.
4 min read → Automating Your SectorAutomating Accounts Payable with AI
Invoice capture, coding, matching, and approval routing are the clearest AI wins in finance. Here is the pipeline, the accuracy bar, and why touchless rate matters more than extraction accuracy.
3 min read → Automating Your SectorAutomating Customer Support with AI — A Practical Playbook
What to automate first in a support operation, the pipeline that does it, where deflection targets go wrong, and realistic numbers on cost and time-to-value.
3 min read → Automating Your SectorAutomating Insurance Claims Processing with AI
Claims intake, document extraction, coverage checks, and straight-through processing — where AI works in claims, where regulation constrains it, and how to stay explainable.
3 min read → Automating Your SectorAutomating Legal Document Review with AI
Contract review, clause extraction, obligation tracking, and due diligence — what AI does well in legal work, where privilege and accuracy constrain it, and how to keep a defensible record.
3 min read → Automating Your SectorAutomating Logistics and Supply Chain with AI
Document automation, exception management, ETA prediction, and the unglamorous data problems that determine whether supply chain AI works.
3 min read → Automating Your SectorAutomating Manufacturing Quality Control with AI
Visual defect detection on a production line — what it takes to make it work, why lighting and fixturing matter more than model architecture, and how to handle rare defects.
4 min read → Automating Your SectorAutomating Recruiting and Hiring with AI
Where AI genuinely helps in hiring, the bias and legal constraints that govern it, and why candidate-side AI has made assessment integrity a separate problem.
3 min read → Robotics & Computer VisionAutonomous Camera Tracking Systems — How They Work
The engineering behind camera systems that follow a subject autonomously — detection, re-identification, motion control, and the failure modes that matter.
3 min read → Cost, Pricing & ROIBuild vs Buy AI — A Decision Framework
When to buy an AI product, when to build, and when to do both. A framework based on differentiation, data access, and switching cost rather than on cost alone.
3 min read → Federal & Public Sector AIDeploying AI in Federal Environments — The Compliance Path
FedRAMP, NIST 800-53, CMMC, ATO boundaries and how AI systems interact with each — plus why the authorization boundary is the first architectural decision.
4 min read → Problems We SolveEmployees Are Pasting Company Data Into ChatGPT — What to Do
A practical response to unsanctioned AI use that does not rely on blocking — measure it, provide a fast sanctioned path, and write a policy people can actually follow.
4 min read → Federal & Public Sector AIHow Agencies Buy AI — Contract Vehicles and Procurement Paths
The realistic procurement paths for federal AI work, what set-asides change, and how to structure a solicitation for a technology with genuine performance uncertainty.
4 min read → Assessment IntegrityHow AI Cheating Works in Interviews and Exams
The technical mechanics of real-time AI assistance tools, why lockdown browsers and screen sharing cannot see them, and what detection actually requires.
4 min read → AI Security & GovernanceHow AI Systems Leak Data (And How to Prevent It)
The six channels through which AI deployments leak sensitive data — including the retrieval permission bypass that most RAG systems ship with by default.
4 min read → Cost, Pricing & ROIHow to Calculate AI Automation ROI (Honestly)
A method for modelling AI return that survives scrutiny — including the human review cost, partial automation rates, and the difference between hours saved and money saved.
3 min read → Cost, Pricing & ROIHow to Cut LLM Inference Costs (Without Losing Quality)
Nine techniques for reducing inference spend, ordered by return on effort — from model routing and caching to context pruning and batch processing.
4 min read → Problems We SolveHow to Protect Your Company Data From Frontier AI Labs
What actually happens to data you send to a model provider, which contractual and architectural controls matter, and how to use frontier models without giving away your advantage.
4 min read → Cost, Pricing & ROILLM API Pricing Compared — How to Actually Model Your Costs
How LLM pricing works, why per-token list prices mislead, and a method for estimating real monthly cost before you commit to an architecture.
4 min read → Robotics & Computer VisionMachine Vision Inspection — What It Takes to Actually Work
The engineering behind automated visual inspection: imaging, optics, lighting, the defect rarity problem, and where deep learning helps versus classical vision.
4 min read → Assessment IntegrityProctoring vs Lockdown Browsers vs Desktop Detection
What each category of assessment security actually covers, the specific gaps in each, and how to combine them into a defensible process.
3 min read → AI Pipelines & AutomationRAG vs Fine-Tuning vs Prompting — Which Do You Actually Need?
A decision framework for choosing between prompt engineering, RAG, and fine-tuning — what each one actually fixes, what they cost, and why most teams reach for fine-tuning when they need retrieval.
4 min read → Cost, Pricing & ROIWhat Does AI Consulting Cost? Real Ranges and What Drives Them
Market rates for AI consulting by engagement model, what actually drives the number, and the hidden costs that turn a fixed-price project into a bigger one.
4 min read → Cost, Pricing & ROIWhat Does It Cost to Build an AI Agent?
Build cost and running cost for AI agents, broken down by complexity — plus the cost behaviours unique to agents, like unbounded loops and variable token spend.
4 min read → AI Pipelines & AutomationWhat Is an AI Agent?
An AI agent is a system that pursues a goal by choosing its own sequence of actions and using tools to affect real systems. Here is how agents differ from chatbots and pipelines, and when they are the right choice.
5 min read → AI Pipelines & AutomationWhat Is an AI Pipeline?
An AI pipeline is the end-to-end system that carries data from its source through a model to a business action. Here is what the stages are, why pipelines fail, and how to design one that survives production.
5 min read → AI Security & GovernanceWhat Is Prompt Injection?
Prompt injection is the defining security vulnerability of LLM applications. Here is how direct and indirect injection work, why input filtering does not solve it, and what actually mitigates it.
4 min read → AI Pipelines & AutomationWhat Is RAG (Retrieval-Augmented Generation)?
RAG gives a language model the specific documents it needs at question time instead of relying on training data. Here is how retrieval-augmented generation works, where it breaks, and how to make it accurate.
4 min read → AI Security & GovernanceWhat Is Shadow AI? (And What to Do About It)
Employees are already using unapproved AI tools with company data. Here is the actual risk profile, why blocking fails, and a governance approach that works.
4 min read → AI Pipelines & AutomationWhy AI Pilots Fail (And What Separates the Ones That Ship)
Most enterprise AI pilots never reach production. The causes are consistent and largely organizational, not technical. Here is the pattern and how to design a pilot that survives it.
4 min read → Problems We SolveYou Can't Tell If Candidates Are Using AI in Interviews
Why screen sharing and lockdown browsers cannot see real-time AI assistance, what detection actually requires, and how to decide your policy before you buy tooling.
4 min read → Problems We SolveYour AI Agents Have Too Much Access — How to Fix It
Agents are routinely deployed with the permissions of whoever built them. Here is how to find the over-permissioned ones, scope them down, and put a policy boundary in front of consequential actions.
5 min read → Problems We SolveYour AI Costs Exploded — How to Get Them Back Under Control
A triage procedure for runaway AI spend: find where the cost actually is, apply the fixes in order of return, and put the guardrails in that stop it recurring.
4 min read → Problems We SolveYour RAG System Gives Wrong Answers — How to Diagnose It
A diagnostic procedure for RAG failures. Almost all of them are retrieval failures, not model failures — here is how to prove which stage is broken before you waste weeks on prompts.
4 min read →