Plainsight
AI

AI built into the work. Not bolted onto it.

Plainsight builds AI into the systems your teams already run, from everyday efficiency to the strategic bets that change how you compete.

Most AI work stops at the demo. Custom applications, agents, and integrations that plug into your workflows and processes. The model is rarely the hard part. The integration, the data, and the adoption are.

Start an AI project

Where AI creates value

From everyday efficiency to the bets that change your business. There is no fixed order, and it is rarely just one.

Personal efficiency

Everyday AI that helps your people get more done on their own work. An assistant for drafting, search and summarising, so the routine stops eating the day.

AI assistantEveryday AI

Team use cases

We take a process that eats time, look at where it actually drags, and make it more efficient. Automating the repetitive steps, the triage, the handoffs, the answers people keep asking for.

Process automationWorkflows

Strategic bets

The innovative moves. AI and custom apps that differentiate, that change how the business competes instead of only trimming cost.

DifferentiationInnovation

Agentic coding enablement

Levelling up your own developers to build the agentic way, with the frameworks and rails we use ourselves, so your team keeps shipping after we leave.

Dev teamsFrameworks

Working with an SME? See our step-by-step SME approach. Or explore our AI products.

Why production is the hard part

Pilots are easy. Production is hard. What makes production hard isn't the model. It's the integration into systems your teams already use, the data that has to flow into it, and the people who have to want to use it. That's what we build.

Three common AI patterns: random pilots, vendor-led experimentation, and strategic AI with an operating model

The foundation isn't lost when a case pivots.

We build in optionality. Every gate is a chance to stop, pivot, or double down. The foundation stays.

Cost per use case decreases as reusable foundation components accumulate

Agentic development, learned by doing it together.

Every engineering team is figuring out agentic development right now. We're already building this way every day, on real client work, with our own Agentic Development Framework underneath. We share it. From AI inspiration sessions for leadership, to hackathons with your engineering team, to paired development on a real use case. The point isn't to make you depend on us. It's to leave your team working agentic the right way, with the rails and reviews that keep it safe in production.

AI inspiration sessions

For leadership teams getting their bearings.

Engineering hackathons

Your team building with ours, on your real problem.

Paired development

Side by side on a live use case.

Walkthrough of our Agentic Development Framework

We show you how we build, end to end. The rails. The reviews. The shortcuts that don't break things.

Trust earned. Not assumed.

We don't hand you autonomous AI on day one. We earn it. Every use case moves through phases, with decision gates between them. You keep the option to stop, pivot, or scale at every step.

Crawl, walk, run: phased delivery model with decision gates at each stage

Build it once or build it so the next one is cheaper.

Build-only ships a single use case. Build-and-embed builds the capability to keep shipping. Same first delivery. Very different year two.

Comparison: build-only delivers use cases while build plus embed delivers a capability
Three non-negotiables: measured ROI, real ownership, clean exit options

Built with

MicrosoftOpen source toolsAnthropic (Claude)Databricks

Frequently asked questions

What does Plainsight's AI offering cover?

AI creates value in four places: personal efficiency (an everyday AI assistant), team use cases (analysing a process and making it more efficient through automation), strategic bets (AI and apps that differentiate), and agentic coding enablement for your own developers. There is no fixed order, and it is rarely just one.

Why do most AI pilots stall before production?

The model is rarely the hard part. What makes production hard is the integration into systems your teams already use, the data that has to flow into it, and the people who have to want to use it.

Does Plainsight work with SMEs?

Yes, with the same engineering standard we apply to enterprise work, sized to an SME budget. Our step-by-step SME approach, from strategy to a first working use case, is documented on our Start with AI page.

Everything connects.

Strategy gives direction. Building creates value. Specialists protect it.

Direction

Strategy

From business questions to a data, AI and software direction your organisation can follow.

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Value

Build

Data and analytics, AI, and custom software. Built with adoption and ownership from day one.

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Continuity

Experts

Specialists who think like teammates. Keep your engine running and your team growing.

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Ready to ship AI that runs in production?

Tell us where you're stuck. Stalled pilots, integrations that won't land, AI that nobody uses. We'll figure out together if we can help.

Get in touch