The answers to questions most software companies avoid — about real costs, honest comparisons, and what actually works. Written to help you make better decisions, not to sell you something.
Even the best-retaining brokers lose about one policy in seven a year — much of it to renewals nobody chased in time. Here’s the real cost, and the governed-AI fix that stays Consumer Duty-safe.
Fortune 100 firms are racing to hire one. The honest operator’s call: most companies should build governed deployment instead of the six-figure hire — with the cost comparison and who actually needs the role.
The seven honest signals you should wait, who governed AI isn’t for, and why adopting too early wastes more budget than waiting does — with the readiness test and a decision matrix.
Three routes to AI delivery — hire in-house, a big consultancy, or a specialist agency. An honest comparison of cost, speed, ownership and risk — including when each (and KORIX) is the wrong fit.
MIT found only ~5% of enterprise AI tools reach production; Gartner expects up to half abandoned after POC. The data on why pilots stall — and the three decisions that ship AI, with KORIX’s own 4-of-4 production record.
AI governance is the rulebook; governed AI is the system that enforces it at runtime. The real difference, a side-by-side comparison, and why you need both — with KORIX’s own delivery proof.
What actually goes wrong when a business deploys an AI agent — and the four controls that contain it, from a team that builds and runs governed agents in production.
The honest per-agent economics: build is the big cost, maintenance is the surprise, runtime is the cheapest line — with our production agents’ real run costs, and how to budget it.
IBM and Google made agents a budget line in 2026. Buy the commodity; build only what touches your data, takes regulated actions, or guards your moat — with a 5-test gate.
Six AI pricing models in 2026: per-seat, per-token, per-ticket, per-resolution, hybrid, bespoke. The cheapest at trial is rarely cheapest at scale.
RAG-on-CRM, Slack-Agentic, Document AI, Multi-Agent Orchestration, Bespoke API. The five architecture patterns that ship 95% of production AI.
Three tiers: SI giants (Infosys, TCS, Wipro), specialists (Fractal, Yellow.ai), and AI-native + boutiques (Sarvam, Krutrim, KORIX). Pick on fit, not logo.
AI compliance for service businesses: 5 frameworks (SOC 2, HIPAA, GDPR, EU AI Act, NIST AI RMF) + the 9 controls to design from Day 1.
The 8 best AI workflow tools in 2026 — Zapier, Make, n8n, Airtable, Relevance, Lindy, Beam, KORIX BYOS. Where each breaks, real TCO at scale, the 7-question buyer test.
AI consultancy and AI deployment are not the same product. The 4-question Deliverable Test reveals which one your service business actually needs in 2026.
The 5-step Governance-First Deployment Framework for service businesses — ship governed AI in weeks, not months, without sacrificing compliance or control.
Agent Deployment as a Service replaces AI consulting in 2026. Learn what it covers, how it differs, and which model fits your business stage.
Which workflows to automate first, real tool comparisons, and the 3-Phase Decay Pattern costing ops leaders 40% of senior time. UK/US guide for 2026.
A competitor-written Best-Of: seven AI agent development companies reviewed honestly on price, code ownership, and production record — including who each one is not for, plus a 5-question test for any vendor.
A time-boxed, governed AI pilot that gets one real use case into production in 3 weeks. Week-by-week breakdown of what happens and what you own at the end.
Not every organisation is ready for AI. Here are 7 signs that tell you whether your business has the foundations for successful AI adoption.
8 criteria that separate real AI builders from slide-deck consultants. A practical framework for choosing the right AI implementation partner.
Governed AI means observable, auditable, human-supervised, rollback-ready systems your team owns. Learn the 5 pillars and why 85% of AI projects fail without them.
Most RFPs get generic responses because they ask generic questions. Here’s a template and framework for writing RFPs that help vendors give you actually useful proposals.
Everything you need to know before spending £10K–£500K on custom software. Questions to ask, red flags to spot, timeline expectations, and how to evaluate proposals.
From simple OCR to intelligent document understanding — what actually works, what’s overhyped, and what we use in our own production deployments.
Yes, we’re listing our competitors. Because if you’re searching for this, you deserve honest options — including firms that might suit your needs better than us.
GPT-4 is powerful but expensive and locked-in. Open-source is free but needs infrastructure. Here’s a decision framework based on 50+ production deployments.
No-code AI tools have gotten remarkably good. Here’s an honest review of the top platforms — and the specific scenarios where they’ll help vs. hold you back.
Hiring developers feels safer. Agencies feel faster. Neither is universally better. Here’s a framework for making the right call based on your actual situation.
We build custom AI — so yes, we’re biased. But here’s the truth: off-the-shelf is the right choice for most businesses. Here’s how to know which camp you’re in.
The upfront quote is only 40–60% of what you’ll actually spend. Here are the hidden costs most agencies won’t mention — and the questions to ask before you sign.
87% of AI projects never reach production. After 50+ AI system builds, here are the 5 failure patterns that keep repeating — and the specific safeguards that prevent each one.
Before you request quotes, understand what makes one project cost £15K and another £150K. These 7 factors determine where yours will land.
The honest answer: it depends. But here are the exact factors that drive costs up or down, typical ranges by project type, and how to budget without getting blindsided.
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“The businesses that earn trust are the ones willing to answer the questions everyone else avoids. That’s why we publish our thinking openly — including our limitations.” — Shishir Mishra, Founder & Systems Architect (AI), KORIX
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