From the field

Practitioner insights

Real deployments, real problems, real outcomes. Articles, video walkthroughs, and case studies on AI agents, BI dashboards, automation infrastructure, and operational intelligence for manufacturing, logistics, distribution, and managed services.

We write from live client work. Every case study has a real client behind it. Every article starts from a decision we had to make in the field. If we haven't deployed it, we don't write about it.

The content is structured around two questions practitioners actually face: how do you make your operational data useful, and how do you automate the work that no longer needs a human in the loop. BI implementation strategy, conversational AI for ERP, workflow automation at scale, and the mistakes that are still costing operations teams time every day.

Articles · written from live deployments

Videos · system walkthroughs on YouTube

Case studies · real clients, real outcomes →

Pillar Guide · Featured

Unify ERP, CRM, and operations data

Connecting ERP, CRM, spreadsheets, and supplier portals into one decision layer is what we do. This guide is the architecture behind every case study we've published, in a 10-minute practitioner read.

Read the guide →

Browse by topic AI Agents → Business Intelligence → AI Operations → ERP Automation → Manufacturing →

Newly added

Jun 2026

When the Roadmap Is Three Months but the System Breaks in One

8 min · Jun 2026

New AI Operations

Geopolitical supply chain disruption: the 5-decision protocol

7 min · May 2026

New Manufacturing

When manufacturing comes in-house, operations is where the plan breaks down

6 min · May 2026

New AI Operations

Multi-site allocation fails during shortages — not because of supply, but because of governance

7 min · May 2026

New Manufacturing

After-hours approvals are your OTIF problem

6 min · May 2026

Featured this month

"They just send a message. The ERP answers in 3 seconds." — the deployment that became AskOps.

Manufacturing · AI · Case Study

We replaced 6 clicks with one chat message: a conversational ERP layer for ops, sales, and dispatch — no app, no IT ticket

A real deployment. Customer service, marketing, and operations teams now query live ERP data through natural language — no app, no login, no training. Here's exactly what we built and what changed for three departments.

Christopher Wakare March 2026 5 min read

Read the full case study →

AI Operations · Supply Chain · Decision Governance

Geopolitical supply chain disruption: the 5-decision protocol that keeps operations off the back foot

When a shipping route closes, most operations teams discover their gaps in the wrong order. One framework for sequencing the decisions that matter — with named owners, numeric thresholds, and escalation paths. Draws on MIT resilience research and ASCM practice.

Manufacturing · Operations Strategy · Insourcing

When manufacturing comes in-house, operations is where the plan breaks down

The financial case for vertical integration is compelling. The execution gap — SOPs, decision ownership, knowledge transfer, cross-plant coordination — is real and under-discussed. This is what operational readiness actually looks like.

AI & Operations · Manufacturing · Strategy

Your supply chain has the signals. Nobody is acting on them.

Decision intelligence surfaces signals. Decision infrastructure governs what happens next — who owns the decision, who approves it, and what gets audited. Your supply chain probably has the first layer. Here is why it needs the second.

AI Agents · Managed Services · Compliance

MSP incident escalation governance — the documentation gap that shows up in audits

When a P1 incident ends and the compliance audit begins, can you reconstruct every decision made during the response? Who approved overtime? Who authorised vendor escalation? If the answer is "check the Slack channel," the MSP has a governance problem.

AI & Operations · Manufacturing

The supply chain AI execution gap: why signals don't convert to operational action

Every operations team has more AI alerts than they can act on. The problem is not the AI — it is the absence of an execution layer that turns signals into governed decisions with named owners, approval workflows, and audit trails.

ERP & Automation · Operations

The tariff floor keeps moving. Here's how your procurement team makes decisions anyway.

No tariff assumption is stable right now. The answer is not better forecasting — it is a decision governance layer that makes procurement decisions documented, auditable, and executable regardless of what policy does next.

AI & Operations · Manufacturing · Strategy

83% of supply chain AI pilots never reach production. The gap is not the model — it is the operating infrastructure around it.

83% of organisations are running supply chain AI pilots. Most won't scale. The gap is an operating model problem, not a technology problem — and three structural gaps determine which side of that line you're on.

Manufacturing · AI & Operations · Knowledge Management

Your senior operators are retiring. Their process knowledge is not documented anywhere.

Manufacturing's $1.4 trillion institutional knowledge problem now has enterprise-grade solutions. None of them are built for mid-market operations. Here's what actually works — and why the window to act is narrowing.

Manufacturing · AI Strategy · Operations

Your AI Pilot Succeeded. Your Operations Didn't. Here's Why.

Manufacturing pilots succeed technically and fail operationally. The 5 root causes behind the gap — and what the organizations that close it actually do differently.

Manufacturing · Operations · Knowledge Management

Your best operators leave in 8 years. Their process knowledge is not written down.

Fortune named it "the hidden bottleneck." 2.8M manufacturing retirements by 2033 are taking undocumented expertise with them. Here's the operational infrastructure that addresses it — before the exit, not after.

Dynamics 365 BC · Decision Intelligence · Tools

You are running Business Central. Your ops team still can't act on the data fast enough.

Business Central has the data. The gap is the decision layer between the signal and an approved response. Here is what OpsGrid adds on top of what you already have.

AI Agents & Automation · Manufacturing

We replaced 6 clicks with one chat message: a conversational ERP layer for ops, sales, and dispatch — no app, no IT ticket

A manufacturer was making 6 clicks and opening 4 screens to answer one order status question. We replaced the whole flow with a single chat message to live ERP data.

AI Agents · Operations · Manufacturing

Automating one invoice workflow: what the manufacturer discovered after it went live

Manual invoice reconciliation was the symptom. Deploying the fix surfaced the real problem — and reshaped how every department at this mid-market manufacturer thought about execution.

Strategy · Data Integration · Manufacturing

How to unify ERP, CRM, and operations data (without ripping everything out)

Most mid-market manufacturers run 4–7 disconnected systems. Decisions stall because nobody has the full picture. A practitioner guide to unifying ERP, CRM, and operations data — built around decision choke-points, a unified data pipeline, embedded BI, and selective automation.

Business Intelligence · Strategy

Most BI implementations don't fail because of the technology. They fail before anyone opens a dashboard.

60–85% of BI initiatives fail to meet objectives. Unclear processes, no accountability, disconnected decisions, inadequate training. Here's what we've learned from real deployments.

AI Agents · Manufacturing · Finance

Supplier invoice reconciliation, automated: 10 suppliers, 0 manual steps

Same client. Same ERP. Next workflow. We extended the conversational ERP layer to handle supplier invoice matching automatically — here's the architecture and what it replaced.

Manufacturing · AI Strategy

The ROI of an AI agent deployment is calculable before you build. Here's what the numbers look like.

The four-variable framework and interactive calculator we use to build a business case before any deployment starts. Most teams find the number higher than they expected.

Video

Open Source · Product Demo · Coming soon

QHub Wiki — full product walkthrough

How to deploy a self-hosted AI knowledge base in 30 minutes. Install, configure the Chrome extension, and start querying your own docs.

Manufacturing · Low Code · Supply Chain

A bespoke garment manufacturer was running JIT fabric ordering on WhatsApp. We fixed it in two weeks.

4 people. 20+ hours daily. Duplicate POs. No trail when fabric was damaged on the floor. Fitting orders over-committing stock. Here's the integrated supplier portal — and what the cutover actually took.

Business Intelligence · Open Source · Manufacturing

Power BI licensing was a ceiling on data access. We removed it.

Power BI licensing was limiting data access across departments. Apache Superset — embedded in the custom ERP, connected to PostgreSQL and ClickHouse — removed the ceiling without changing the budget.

Managed Services · Automation

We automated employee onboarding and offboarding for 4,500 users across 3 continents — without building custom software

An MSP managing infrastructure for pharma, publishing, and education clients was running lifecycle management on manual tickets. Deboarded users had live account access for 24–48 hours. Here's the system that fixed it.

Manufacturing · AI Readiness · Operations

The AI-to-Operations Checklist: 12 questions before you declare a deployment production-ready

Decision ownership, workflow integration, audit trail, data foundation, success metrics. The 12-point framework we run before any AI system goes live in a manufacturing operation.

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Monthly. For operations leaders building faster on AI. Real case studies, system blueprints, and tools — no fluff. Same content as the site, delivered to your inbox.

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