Emails into tasks. Voice notes into quotes. Site reports into summaries. Useful AI, one carefully chosen workflow at a time, with a person still deciding.
Reading the morning’s incoming emails and turning the important ones into tasks. Listening back to the estimator’s voice note from the survey and typing it into a quote. Pulling the day’s site reports together into one summary the project manager can read on the train home. None of it is hard. All of it is on autopilot. And all of it can be done by AI that is set up properly, with the right context, pointed at the right inputs.
We build AI workflows that target those autopilot tasks specifically. One at a time, scoped tightly, kept under your control. The aim isn’t to look modern — it’s to give the team back the hour, the evening, or the weekend.
Inbox. Emails into tasks, tasks into the right place. AI reads incoming mail, identifies the messages that need action, drafts a task with the right project, the right owner and the right due date, and pushes it into your system. The office manager reviews, edits and approves instead of starting from a blank screen.
Voice. Voice notes into structured quotes. Site survey, walk-around, snagging visit — the estimator dictates a voice note in the van on the way back. AI transcribes it, structures it into your quote format, populates the line items and leaves a draft for the estimator to refine. Twenty minutes of typing becomes two minutes of review.
Reports. Site reports into one summary. End of day, five site reports come in, one per crew. AI reads them all, surfaces what matters — delays, materials needed, snags, sign-offs — and produces a single daily summary for the project manager. The originals stay searchable. The summary lives on the dashboard.
There is no “AI transformation programme” here, and no twelve-month roadmap. We shadow the part of the day that is repetitive and structured, then pilot one workflow in days on real inputs in your environment, with a person reviewing every output — a working pilot, not a demo. We measure how often it is right, how often it is wrong, and where a human still needs to step in. If it earns its keep we build it properly: hosted models, your data staying yours, monitoring and a kill switch built in, embedded where the work already happens rather than in a separate AI app nobody opens. If it doesn’t, we retire it and try a different target.
Start with a repetitive task and keep a person in control. Review the result, measure whether it helps, then decide what comes next.
Please arrange the site visit and confirm access with the client.
Check project, owner and timing before approval.
Identify an action, propose the project and owner, then let a person edit and approve it before it enters the workflow.
Survey note: replace the damaged run and check access for the delivery.
Scope extracted. Quantities and pricing to be confirmed.
Turn survey notes into a quote outline for the estimator to refine. Measurements, assumptions and pricing still need human review.
Several site reports arrive at the end of the day.
Progress, blockers and follow-up actions grouped for review.
Pull together updates, delays and outstanding actions while keeping the original reports available for checking.
AI is useful when it earns its place in the working day. A small pilot makes that easier to judge.
How we work together ↗Identify the repetitive task, the inputs and the decisions a person needs to retain.
Use representative inputs, inspect the output and record the corrections as well as the time saved.
If the pilot works, build it into the tools your team uses, with agreed data handling and a way to stop it.
Land Wide UK uses AI-assisted task creation and daily digests within its operational platform.
Land Wide UK’s operational platform includes AI-assisted task creation and natural-language parsing, so an email or note from a project lead can be turned into a structured task with the right owner, project and timing instead of starting from a blank form.
The platform produces automated daily summary digests, pulling together what changed across projects so the management team gets a single morning read instead of opening twelve tabs. A small piece of automation — but it removes the “catch up on yesterday” hour that used to start every Monday.
AI work continues alongside the rest of the engagement. New workflows get piloted, kept if they earn their keep, retired if they don’t. No big-bang AI rollout — just small things, one at a time.
A typical focused pilot, subject to scope and access.
Keep people in control of the important decisions.
Assess the result before expanding the workflow.
Tell us about the task. We can work out whether AI, simpler software or a different process would help.
