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Practical AI insights from engineers who build and operate production systems. No hype. No theory. Just what actually works.

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Featured article

Why Agentic AI Fails in Production (And How to Prevent It)
Agentic AI
Feb 20, 2025 12 min read

Why Agentic AI Fails in Production (And How to Prevent It)

Most agentic AI pilots fail not because the model isn't smart enough, but because of three systemic issues: unreliable tool execution, missing evaluation harnesses, and no human escalation design.

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More articles

RAG Evaluation: The Metrics That Actually Mattered in 2023–24
RAG
Feb 14, 2024 10 min

RAG Evaluation: The Metrics That Actually Mattered in 2023–24

RAGAS scores were a good starting point in 2023. The teams that avoided painful incidents added domain-specific metrics for faithfulness, context precision, and hallucination rate.

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Building Multi-Agent Systems That Don't Break in Production
Agentic AI
Jan 20, 2024 14 min

Building Multi-Agent Systems That Don't Break in Production

Multi-agent demos exploded in 2023. The ones that survived contact with production all had the same traits: supervisor patterns, typed shared state, and ruthless failure handling.

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The Data Readiness Checklist Before Your First AI Deployment
Strategy
Dec 5, 2023 13 min

The Data Readiness Checklist Before Your First AI Deployment

Most AI projects that stalled between 2022–24 didn’t have a model problem. They had an accessibility, governance, or freshness problem in the data.

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Designing Human-in-the-Loop Workflows for AI Agents
Agentic AI
Jan 10, 2025 13 min

Designing Human-in-the-Loop Workflows for AI Agents

Between 2022 and 2025, the most successful AI teams stopped talking about replacing humans and focused on designing great human-in-the-loop workflows instead.

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LLMOps in 2024: What Was Actually Production-Ready
LLMOps
Nov 18, 2024 14 min

LLMOps in 2024: What Was Actually Production-Ready

Observability, evaluation, and cost tracking for LLMs matured fast between 2022–24. The hard part in 2024 was not tooling - it was picking a minimal, coherent stack.

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AI Change Management: What 2022–24 Taught Us About Adoption
Strategy
Oct 30, 2024 13 min

AI Change Management: What 2022–24 Taught Us About Adoption

The success of AI initiatives between 2022–24 correlated far more with change management than model choice. Teams that felt involved adopted faster and pushed harder.

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Cost Optimisation for LLM Workloads Without Killing Quality
LLMOps
Sep 18, 2024 13 min

Cost Optimisation for LLM Workloads Without Killing Quality

From 2023–24 we saw AI bills spike - and then drop by 40–60% - when teams added basic observability, routing, and context hygiene.

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Latency and UX in LLM Products: Lessons from 2023–24
Engineering
Aug 22, 2024 13 min

Latency and UX in LLM Products: Lessons from 2023–24

LLMs are slower than traditional APIs, but users are surprisingly tolerant when the UX is honest, responsive, and designed around perceived speed.

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What We Learned Reviewing 50+ AI Vendor Pitches (2022–2025)
Strategy
Jul 30, 2025 13 min

What We Learned Reviewing 50+ AI Vendor Pitches (2022–2025)

Between 2022 and 2025 we sat on both sides of the table for AI vendor pitches. The patterns that separated serious partners from slideware were surprisingly consistent.

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Designing an Enterprise AI Operating Model (2023–2025)
Enterprise AI
Jun 10, 2025 13 min

Designing an Enterprise AI Operating Model (2023–2025)

From 2023 to 2025, the most successful enterprises stopped treating AI as a side project and gave it a real operating model: clear ownership, budget, guardrails, and roadmaps.

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RAG Patterns That Worked Across Legal, Banking, and SaaS
RAG
May 2, 2024 13 min

RAG Patterns That Worked Across Legal, Banking, and SaaS

Between 2022 and 2024 we implemented RAG systems in legal, banking, and B2B SaaS. The architectures looked different, but the success patterns were surprisingly consistent.

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How AI Changed the Way Software Consultancies Deliver
Consulting
Apr 18, 2025 13 min

How AI Changed the Way Software Consultancies Deliver

From 2022–25, the best software consultancies quietly re-wrote their own delivery playbooks with AI: better discovery, faster prototyping, and more honest scoping.

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Prompting, RAG, or Fine-tuning? How Teams Actually Decided (2022–2024)
LLM
Mar 6, 2024 13 min

Prompting, RAG, or Fine-tuning? How Teams Actually Decided (2022–2024)

In theory, you could solve most problems with any combination of prompting, RAG, or fine-tuning. In practice, the constraints of 2022–24 pushed teams toward specific patterns.

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Open vs Proprietary LLMs in 2024: How Enterprises Actually Chose
LLM
Feb 14, 2024 13 min

Open vs Proprietary LLMs in 2024: How Enterprises Actually Chose

The 2024 debate about open versus proprietary models was loud. In real enterprise projects, the decision came down to data sensitivity, latency, quality, and who would run the infra.

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Designing AI Systems for Risk and Compliance Teams (2022–2025)
Enterprise AI
Jan 26, 2025 13 min

Designing AI Systems for Risk and Compliance Teams (2022–2025)

Risk and compliance teams in 2022–25 didn’t want magic. They wanted tools that surfaced signals, preserved audit trails, and respected existing controls.

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AI Copilots for Software Engineers: Beyond Autocomplete
Engineering
Nov 30, 2024 13 min

AI Copilots for Software Engineers: Beyond Autocomplete

From 2022–24, AI coding tools moved from autocomplete novelties to opinionated copilots. The biggest wins came when teams designed them around real workflows, not demos.

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LLM-as-a-Judge in Practice: How We Used It Safely (2023–2025)
LLMOps
Oct 2, 2024 12 min

LLM-as-a-Judge in Practice: How We Used It Safely (2023–2025)

LLM-as-a-judge emerged as a powerful evaluation tool in 2023–24 - and a dangerous one when used without calibration, guardrails, and human baselines.

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AI in Customer Operations: Lessons from 2022–2025 Rollouts
Enterprise AI
Sep 14, 2025 13 min

AI in Customer Operations: Lessons from 2022–2025 Rollouts

Customer operations teams were among the first to see AI in production at scale. The patterns that stuck were surprisingly conservative - and very effective.

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Enterprise AI 2022–2025: A Retrospective Playbook
Enterprise AI
Aug 1, 2025 14 min

Enterprise AI 2022–2025: A Retrospective Playbook

Looking back at 2022–25, a clear playbook emerged for enterprise AI: start small but serious, invest in evaluation and governance early, and treat AI as a capability, not a gadget.

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Evaluating AI Pilots Before You Scale: Lessons from 2022–2025
Enterprise AI
Sep 12, 2025 12 min

Evaluating AI Pilots Before You Scale: Lessons from 2022–2025

The hardest decision in 2022–25 AI programmes wasn’t "can we build a pilot?" - it was "should we scale it?" A simple evaluation frame turned hand‑wavy excitement into clear calls.

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How to Add AI to Your SaaS Without Rebuilding the Product
Integration
Jul 13, 2026 5 min

How to Add AI to Your SaaS Without Rebuilding the Product

You do not need to rewrite your product to ship AI. Here is the integration-first approach we use to add AI features to an existing SaaS in weeks, and the numbers from two real builds.

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What You Can Actually Ship in a 6-Week AI MVP
Strategy
Jul 13, 2026 6 min

What You Can Actually Ship in a 6-Week AI MVP

AI MVP development in 6 weeks sounds tight until you scope it correctly. Here is what a real 6-week AI MVP sprint can ship, what it cannot, and how to cut scope so you launch something usable instead of a demo that never ships.

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Agentic Workflow Automation: What Works and What Breaks in the Enterprise
Agentic AI
Jul 13, 2026 8 min

Agentic Workflow Automation: What Works and What Breaks in the Enterprise

A field guide to agentic workflow automation in the enterprise: where autonomous agents genuinely earn their keep, the four failure modes that quietly break them in production, and a readiness checklist before you fund a build.

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A Prompt-Injection Defense Checklist for Production LLM Apps
Engineering
Jul 13, 2026 8 min

A Prompt-Injection Defense Checklist for Production LLM Apps

Prompt injection is the top security risk for production LLM apps and agents. Here is a concrete prompt injection defense checklist we use to harden real systems: threat classes, input and output validation, least-privilege tool scopes, grounding, human approval, and audit logging.

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AI on Top of Dynamics 365 and SAP: Integration Patterns That Ship
Integration
Jul 13, 2026 6 min

AI on Top of Dynamics 365 and SAP: Integration Patterns That Ship

How to add AI and analytics on top of Dynamics 365, SAP, or your ERP without a rip-and-replace. The integration patterns for AI Dynamics 365 integration that actually reach production, the permission and freshness traps, and a checklist before you start.

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How Much Does It Cost to Build an AI Feature? A 2026 Pricing Breakdown
Strategy
Jul 13, 2026 6 min

How Much Does It Cost to Build an AI Feature? A 2026 Pricing Breakdown

AI development cost is the first question every founder asks and the hardest to answer with a single number. Here is a 2026 pricing breakdown with real USD bands, what drives the numbers, and what each budget actually buys.

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AI Customer Support Automation: What Autonomous Resolution Really Takes
Agentic AI
Jul 13, 2026 8 min

AI Customer Support Automation: What Autonomous Resolution Really Takes

AI customer support automation is easy to demo and hard to trust. Here is what autonomous resolution actually requires: grounding in current policy, capped action authority, and a clean path to a human when the agent should not act.

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AI for Financial Services: Real-Time Risk, Reconciliation, and Compliance
Strategy
Jul 13, 2026 8 min

AI for Financial Services: Real-Time Risk, Reconciliation, and Compliance

AI financial services work only when it is built for regulated ground: fresh data, cited sources, immutable audit logs, and human approval on material actions. Here is where AI pays off in risk, reconciliation, and compliance, and what a financial-grade build actually requires.

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AI Analytics on Salesforce and Power BI: Patterns That Ship
Integration
Jul 13, 2026 8 min

AI Analytics on Salesforce and Power BI: Patterns That Ship

If you searched Salesforce AI Power BI, you are asking how to add AI and analytics on top of the CRM and dashboards you already run. Here are the patterns that ship in production, and the traps that quietly stall them.

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From AI Pilot to Production: Why Most Pilots Stall and How to Ship
Strategy
Jul 13, 2026 6 min

From AI Pilot to Production: Why Most Pilots Stall and How to Ship

Moving from AI pilot to production is where most AI proof-of-concepts die. The gap is rarely model quality. It is operational: evaluation, reliability, escalation, and ownership. Here is what actually gets a pilot into production.

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How to Choose an AI Development Partner: A Buyer's Checklist
Strategy
Jul 13, 2026 8 min

How to Choose an AI Development Partner: A Buyer's Checklist

If you are trying to work out how to choose an AI development company, the sales decks all sound the same. This is the buyer's checklist we would use: the questions, the red flags, and what a real production track record looks like.

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How Long Does It Take to Build an AI Product? Realistic Timelines
Strategy
Jul 13, 2026 7 min

How Long Does It Take to Build an AI Product? Realistic Timelines

The honest AI development timeline for shipping a real product. What drives the schedule, how long each build type actually takes, and where the weeks go.

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AI Agents vs Automation: When to Use Each (And When Not To)
Agentic AI
Jul 13, 2026 6 min

AI Agents vs Automation: When to Use Each (And When Not To)

The AI agents vs automation decision is not about which is more advanced. It is about which one fits the problem. Here is how we decide, and what it looks like in production.

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Enterprise AI Data Security: The Questions to Ask Before You Sign
Engineering
Jul 13, 2026 8 min

Enterprise AI Data Security: The Questions to Ask Before You Sign

A practical guide to enterprise AI data security for procurement, security, and IT leaders vetting an AI vendor. The questions to ask, the architecture that answers them, and the checklist to run before you sign.

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Legal AI That Holds Up: Review, Research, and Compliance
Strategy
Jul 13, 2026 8 min

Legal AI That Holds Up: Review, Research, and Compliance

Legal AI is only useful when every answer is grounded in an authoritative source and cited back to it. Here is what contract review, legal research, and compliance documentation look like when they are built to a standard that survives review, and what to check before you deploy.

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Agentic AI vs AI Agents: The Difference, Explained Simply
Agentic AI
Jul 13, 2026 6 min

Agentic AI vs AI Agents: The Difference, Explained Simply

Agentic AI vs AI agents, in plain language with simple flowcharts. An AI agent is one AI worker that can use tools. Agentic AI is a whole system that plans, coordinates, and corrects itself to reach a goal.

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Top AI Development Companies in India (2026): An Honest Comparison
Strategy
Jul 21, 2026 11 min

Top AI Development Companies in India (2026): An Honest Comparison

Most 'top AI development companies in India' lists are written by one of the companies on the list, us included. So here is the version with the bias stated up front, every figure sourced to a public page, and a date on it.

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What It Costs to Hire an AI Development Agency in 2026
Strategy
Jul 21, 2026 9 min

What It Costs to Hire an AI Development Agency in 2026

Published rates, real minimums, and what actually drives the number. Based on the rate cards nine Indian and US AI development firms publish on their own directory profiles, read in July 2026.

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In-House vs Agency vs Staff Augmentation for AI: How to Choose
Strategy
Jul 21, 2026 9 min

In-House vs Agency vs Staff Augmentation for AI: How to Choose

Three ways to get AI built, three different failure modes. A decision framework based on what you actually have: time, technical leadership, and whether the capability needs to stay.

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