Insights

What we learn by building

Vendor lock-in, SaaS sprawl, AI in real workflows, no-code governance: sourced, verifiable analyses — written by the people who build, for the people who decide. Forward-deployed engineering, AI implementation and AI-native development, from the field.

Latest article

Team autonomy5 min read

Forward-Deployed Engineering: build with the team, prepare for autonomy

Engineers working close to the business can turn everyday constraints into useful software. At Ownward, See · Build · Own connects this approach to shared data, working tools and skills the team can keep.

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The publication feed

Newest first. Each colour follows a topic.

September 2026

Team autonomy7 min read

Govern a Base Like an Internal Product

A spreadsheet updated by hand every Monday, a base built one evening that became critical: most business tools are born without an owner or rules. As long as nobody answers for them, they are not tools that last — they are shadow IT on borrowed time.

Data & architecture6 min read

Airtable as scaffolding: build what you plan to take down

In 2025, half of IT projects run over deadline, budget or scope, and nearly one in five is abandoned. Yet every internal tool starts as if it were definitive. Owning the temporary — a no-code base built in days, designed to be taken down — remains the decision nobody dares to claim.

August 2026

Team autonomy7 min read

Autonomy-first transformation: the missing category

One model sells recommendations and leaves you to execute alone; the other sells execution and keeps its hands on every change. Neither is paid to make your teams capable. The missing category has one simple criterion: what you can do on your own when the contract ends.

Data & architecture7 min read

Modernizing a Legacy ERP Without Replacing It

An ERP that has run invoicing, inventory, and payroll for fifteen or twenty years makes every overhaul project look like a leap into the void. Public audits of large replacements put numbers on that void: over a billion dollars with nothing delivered in one case, a £90M overrun in another. The problem is not the legacy system; it is how you evolve it.

Data & architecture7 min read

The six ceilings of no-code — and what gets built above them

Every no-code tool publishes its limits: records per base, requests per second, script duration, log retention. These ceilings are not hidden flaws, yet teams often discover them in production, at the worst possible time. Reading them before building changes the architecture decision.

July 2026

AI in practice6 min read

MCP: the standard that connects AI to your information system

Connecting an AI assistant to a CRM, an ERP or a document base still means, in most organizations, one custom integration per tool-system pair. Ten systems and five AI tools: fifty projects to build, then maintain. An open standard offers a different arithmetic — provided you understand what it solves, and what it does not.

Data & architecture9 min read

Wiring a Next.js front end to Airtable: cache, mirror, or clean break

Tutorials wire a public front end straight to a no-code base's API. The setup works — until the documented 5 req/s per-base limit, pagination and attachment expiry catch up with it. Three architecture patterns answer, depending on traffic, required freshness and write direction.

Software economics6 min read

The real cost of a SaaS subscription exceeds its sticker price

The per-user monthly price is the only visible line of a SaaS subscription. Integration, training, administration, forced upgrades and exit costs pile on top, often without ever appearing in the budget. Most SMEs discover them at renewal, when it is too late to negotiate.

Automation7 min read

Configuration in the database, not in the code

Six systems that never talk to each other, three API grammars, and every connection written by hand: each new source costs more than the last. The problem is not the amount of code — it is where the field correspondences live.

June 2026

Software economics6 min read

SaaS sprawl: the five-step audit method

Software subscriptions pile up faster than anyone manages them: business units commit 70% of SaaS spend, and barely more than half of purchased licenses are actually used. Most leadership teams discover the true size of their application portfolio when the invoices arrive.

AI in practice6 min read

“Our data isn’t ready”: the prerequisite myth

“We’ll do AI once our data is clean.” Yet only 7% of companies say their data is completely ready — and waiting doesn’t move that number. The prerequisite is a myth, and it has a measurable cost.

Software economics6 min read

The seat math: editors, readers, and the cost of a front end

Five people edit, ninety-five just read — and all one hundred pay for a seat. On most public SaaS price lists, the occasional reader costs as much as a full user, and that price is often the least published on the grid. This imbalance can be measured, and it can be calculated.

Team autonomy6 min read

Measuring autonomy: four metrics that don't lie

A team's autonomy over its tools is usually judged by gut feeling: the provider “seems” less indispensable, the team “seems” more comfortable. Without metrics recorded before and after, there is no way to tell real progress from displaced dependency.

Team autonomy8 min read

No-code compliance: six questions make the deployment auditable

Business teams deploy no-code tools faster than IT can audit them. The result: personal data sitting in SaaS platforms where nobody knows where it is hosted, who accesses it, or how to get it out one day.

May 2026

Data & architecture8 min read

Airtable and Postgres: the path designed from day one

An Airtable base that works ends up feeding applications: a portal, a dashboard, a product. That is when the published API limits — 5 requests per second per base, 50,000 records on the Team plan — stop being footnotes. The bridge between Airtable and Postgres should be designed before you need it.

Team autonomy6 min read

Vendor lock-in: the five forms nobody invoices

Cloud data egress is now free and EU law caps switching timelines and fees. Yet fewer than 1% of cloud customers change providers each year. The lock is no longer on the invoice — it sits in five dependencies nothing measures.

Data & architecture7 min read

Building an Airtable extension: what the SDK really enables

Airtable extensions are often reduced to charts sitting next to the grid. Yet the SDK documentation describes something else entirely: a full React application, hosted by the platform, with inherited permissions and reactive data. The architectural question — should an internal tool live inside the base or next to it? — is rarely asked seriously.

Team autonomy6 min read

Citizen developers: governance is the missing link

In late 2022, Gartner projected that 80% of low-code tool users would sit outside IT departments by 2026. Meanwhile, the average large enterprise hosts close to 80,000 applications built outside any software lifecycle, and 62% of the applications Zenity analyzed contain vulnerabilities. The question is no longer whether to allow citizen development: it is who governs what already exists.

April 2026

Software economics7 min read

Interface Designer, custom extension or external app: three economics

Three ways to put a front end on an Airtable base, three cost models with nothing in common. Many teams choose by the screen, then discover the bill — in seats, in development, or in infrastructure.

Automation8 min read

When an Automation Needs to Become Industrial

The scenario that ran quietly at 50 executions a day starts losing events at 5,000, and the logs expired before anyone noticed. The real issue is not the choice of tool: it is the moment when five measurable criteria tip over.

Data & architecture7 min read

Model your data right without being a developer

Customer names retyped everywhere, totals maintained by hand, one tab per year: most no-code bases reproduce the flaws of the spreadsheets they replace. Normalization is taught in SQL, but it takes three habits to practice in an Airtable-style base — without writing a line of code.

Data & architecture8 min read

The schema is the deliverable: model before you pick tools

Tools come and go; your data stays. Most SMEs pick the platform before thinking through their data model — and find out at migration time, when the export no longer means anything.