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Insights

Implementation notes for buyers and operators.

Opinionated engineering notes, not generic news summaries. Written so a busy executive gets the thesis in the first paragraph, and a technical evaluator gets enough specificity to challenge us in a sales call.

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How we write these

Buyer-facing thesis up top, technical depth below.
Named tools, named pitfalls, no vendor scorekeeping.
Updated in place when facts move. dateModified is a contract.

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Browse by topicRapid POC Unstructured Data RAG / Chatbots Intelligent Document Processing Workflow Automation AI Agents

All posts

6 essays across the five pillars and Rapid POC.

Each post carries its topic tag. Scan by practice, then click into the post that matches what you are trying to decide.

Rapid POC

Updated 2026-05-07 · Databotiq Editorial

What is a Rapid POC, and when should you run one instead of an RFP?

A Rapid POC is a sandboxed working build on your real systems and a bounded slice of your real data, designed to answer procurement questions that documents cannot. An RFP still has a role when compliance requires apples-to-apples comparisons, but it is a poor primary tool for AI because the risk is behavioural (models under your traffic, on your documents) and not a feature matrix.

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Unstructured Data

Updated 2026-05-07 · Databotiq Editorial

Unstructured data: the five places it hides in your business

Unstructured data is any payload where meaning is not already in neat rows. Email bodies, PDF contracts, call recordings, images from the field, and the long tail of notes fields your teams misuse because your structured schema never matched reality. If you only warehouse structured tables, you are flying half blind on what actually happened in operations.

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RAG / Chatbots

Updated 2026-05-07 · Databotiq Editorial

When to use RAG versus fine-tuning versus an agent in May 2026

RAG answers questions from a corpus you control and can cite. Fine-tuning shapes model behaviour and small specialised tasks when you own training signal. Agents plan steps and call tools under policies. Most production systems compose two of these. The failure mode is picking the buzzword instead of naming the decision the software must make.

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Intelligent Document Processing

Updated 2026-05-07 · Databotiq Editorial

IDP in 2026: what changed, and what did not

Intelligent document processing (IDP) is the discipline of turning documents into decisions. Classify, extract, validate, route, and post, with measurable straight-through processing. In 2026, layout-aware vision-language models raised accuracy ceilings on ugly PDFs, but the hard parts remain validation, drift, and the economics of human review.

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Workflow Automation

Updated 2026-05-07 · Databotiq Editorial

How to scope an AI workflow automation project so it actually ships

AI workflow automation is only partially a model problem. It is mostly an integration and exception problem: your systems expose incomplete APIs, humans make judgment calls the model cannot own, and peak traffic looks nothing like a pilot folder. A scope that ships names states, owners, metrics, and rollback before it names a model.

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AI Agents

Updated 2026-05-07 · Databotiq Editorial

AI agent failure modes, and how we design around them

Production agents fail in predictable ways. They call the wrong tool with plausible arguments, loop until budgets trip, escalate too late or too early, and hide API errors behind confident language. Production agents need policy matrices, typed tools, traceability, and kill switches. Not a prettier chat UI.

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How we write these

Four rules behind every post.

Same discipline we use in scoping calls, applied to writing so the thesis survives skim reading and AI extraction.

01

Lead with the answer

First paragraph should be self-contained and quotable. Buyers and AI engines should be able to lift the thesis without reading the rest.

02

Specific over generic

We name tools, name techniques, name pitfalls. Vague hedging is invisible to both readers and retrieval systems.

03

Buyer-first, then engineer

Every post works for a CTO or COO in the first 90 seconds, then earns trust with concrete depth for technical evaluators.

04

Refresh before redirect

When facts move, we update timestamps, not URLs. dateModified is part of the contract with readers and search engines.

FAQ

Questions about the blog itself.

Cadence, comments, republishing, and where to go for the canonical entity definition. If something isn't covered here,ask us directly.

How often do you publish?

On a roughly monthly cadence, plus occasional notes when something material changes. A new model class, a new failure mode worth flagging, or a shift in our scoping approach. We refresh older posts before we publish new ones in the same area.

Why no comments or vendor takedowns?

We write opinions about engineering choices, not about specific competitors. If we name a tool, we name it because it is useful or because it is genuinely the best example of a pattern. Not to score points.

Can we republish a post?

Quote freely with attribution and a link back to the canonical URL. Email us before reproducing in full and we will share a clean version.

Where can we go deeper on a topic?

Each post links to its canonical pillar page and, where relevant, a case pattern. The pillar page is the entity definition; the post is the opinion.

Want this thinking applied to your problem?

A short note is enough. We will reply within one business day with a Rapid POC scoping call.

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