Do we have to replace our existing systems?

Rarely. Organizations often already own the core platforms they need; what’s missing is what sits between them. Anything with an API, we can connect.

Can you work with our IT and security teams?

Yes, and we bring them in early. We design within your security, data and hosting requirements, which can include where data is processed and stored and which AI providers can see it. A security review can be part of the build.

Will AI replace our staff?

What changes is how they spend their time: less on rote tasks, more on the work that needs judgment. We automate the repetitive, rule-based parts, with a person checking the output where it matters, and build better tools for the rest.

Industry & Enterprise

Repeated work, at the scale of a whole organization.

Field crews, fleets, plants and paperwork. We find the repeated work AI can take on, then build the tools that do it.

Industrial and enterprise organizations do the same work across sites, crews, shifts and acquisitions. Many of the people doing it are in the field, the systems behind them were bought at different times for different reasons, and a surprising amount still moves by spreadsheet, email and re-typing.

Work like this suits applied AI: it’s well understood, the volume is high, and every manual step is multiplied across hundreds or thousands of people. The hard part is choosing where to start, then building tools your IT and security teams will sign off on. We also design the software people use every day: for Pattison ID’s Journey platform, we did the UX and UI planning, design and front-end code, with AI used to prototype parts of the interface.

A green waste collection truck on a highway, seen from above

What keeps coming up, and what we do about it

01
The same work, done by hand, at every site.
Reports, forms, schedules and checklists get rebuilt locally, each slightly differently, by people who’d rather be doing their actual job.
Start with an audit of the real work
We spend time with the people doing the work, in the field as well as the office, and map where it repeats and stalls. Then we sort the opportunities into what to automate, what to upgrade and what’s newly possible. You come away with a map of where to start and, often, a working tool or two.
02
Systems that don’t talk to each other.
Operations, finance, HR and field systems each hold part of the picture. People bridge the gaps with exports, and the same number ends up with three versions.
03
Questions nobody has time to answer.
Leaders want to know what’s slipping, what customers keep raising or which sites are behind. Each answer takes days of assembly.
Connect what you have, then report from it
We keep your core platforms and build the connections between them, so information is entered once and reaches everyone who needs it. AI can read documents and route requests where that saves someone a step. Reporting then pulls from every system, and agents can watch operations and summarize what changed, so leaders get a short read in place of a pile of exports.
04
Every rollout starts from scratch.
Each new site, acquisition or program gets its own onboarding and materials, with little carried over from the last one.
Make every rollout repeatable
For work that repeats, like onboarding each new acquisition, we design the program behind it: templates, messaging, decision rules and tooling that scale up or down. Each rollout then starts from the last one.
05
A workforce that isn’t at a desk.
Crews work from phones, trucks and shift schedules. Tools and messages designed for office workers don’t reach them.
Design for the field
Tools and messages planned for the devices crews carry, written in plain language, working offline where signal drops, and sent through channels front-line workers actually check.