Operations.
7 real jobs AI can take on for a operations team - most of them inside the licence you already pay for. The colour on each card is the kind of AI; the line at its foot is what it takes to get it.
THE COLOUR IS THE KIND OF AI — AUTONOMY RISES LEFT TO RIGHT
The line at the foot of each card is what it takes to get it - a free chatbot, the licence you already pay for, or a build.
If these words are new, the homepage walks the whole spectrum →
Day in the life.
See how people can use your AI assistant to perform common tasks throughout their day to save time, generate value, and improve their wellbeing.
A project manager moves through a full day with AI handling the busywork, freeing time for higher-value decisions.
Try it in your own AI
- Context: I'm a project manager in operations at [company]. Monday: three workstreams, two status meetings, one report due, and the real risks are buried in last week's threads.
Objective: From the material below, build my week's cockpit: status per workstream in two lines, the risks that moved, what each meeting needs from me, and the report drafted from what's already true. [Paste the updates, threads and report template.]
Style: Cockpit first, report draft after.
✓ In the licence you already pay for
A business manager runs a typical day with AI lifting routine tasks, sharpening focus on the work that moves the needle.
Try it in your own AI
- Context: I'm a business manager at [company] - the connective tissue between [leader]'s priorities and everyone else's asks. The asks below all claim urgency.
Objective: Sort them: what maps to our stated priorities, what doesn't, what needs [leader] personally versus what I can answer - with a suggested one-line response for each one we decline politely. [Paste the asks and the priority list.]
Style: A table - ask, verdict, response.
✓ In the licence you already pay for
Planning.
Demand forecasting and supply chain management require extensive analysis and collaboration.
A change programme is mapped, impact-assessed, packaged for the board and rolled out, with every stakeholder kept aligned throughout.
Try it in your own AI
- Context: We're making a change at [company]: [what's changing and why]. The people affected are [groups]; the failure mode is announcing at people instead of landing with them.
Objective: Build the change map: who's affected and how much, what each group loses and gains (honestly), the sequence of who hears what and when, and the board-ready summary. [Paste the change details.]
Style: Impact map as a table, comms sequence as a timeline, board summary under a page.
Tone: The comms straight about the losses - people forgive change, not spin.
✓ In the licence you already pay for
A supplier tender is drafted faster and more accurately, drawing on past bids and a searchable repository of requirements.
Try it in your own AI
- Context: We're tendering for [goods/service] at [company], worth roughly [value]. Past bids and requirements are below; the usual sin is copy-pasting last year's RFP and getting last year's answers.
Objective: Draft the RFP: requirements sharpened from what went wrong last time, the questions that separate real capability from good bid-writing, and the scoring grid we'll use. [Paste the past bids and requirements.]
Style: Requirements numbered, questions direct, grid as a table.
✓ In the licence you already pay for
Reporting.
Ensuring data quality and timeliness of reporting requires a lot of resources.
Frontline staff produce clear shift reports, incident logs and sensitive messages in minutes rather than wrestling with the writing.
Try it in your own AI
- Context: I work [role, e.g. shifts on site or in a care setting] and the paperwork - shift reports, incident logs - eats the end of every day. Writing isn't the part of the job I'm best at, and these reports matter.
Objective: I'll tell you what happened in my own words; turn it into the [shift report / incident log] our format needs, keeping every fact exactly as I said it and asking me before filling any gap. [Describe what happened.]
Style: Our template's headings, plain sentences, nothing invented.
Tone: Factual and calm, even where the shift wasn't.
Works in a free chatbot
A performance review is prepared, presented and followed up cleanly, with agenda, data and actions all captured in one flow.
Try it in your own AI
- Context: I run [area] at [company] and the [monthly/quarterly] business review is on [date]. The numbers are below; the meeting drifts when the story isn't set in advance.
Objective: Build the review: an agenda with time boxes, the three headlines the numbers support, a page per headline (the number, why, the action), and the follow-up note capturing decisions, ready to send after. [Paste the numbers.]
Style: Agenda tight, one page per headline, the follow-up note ready to fill in.
✓ In the licence you already pay for
Scheduling.
Resource allocation requires collaboration and communication among many teams.
Project scope, milestones and risks are pulled together into one review that keeps stakeholders aligned on health and next steps.
Try it in your own AI
- Context: [Project] at [company] is at [stage]; the stakeholders below hold different pictures of its health, which is how projects quietly die.
Objective: From the status material, build one honest review: scope as agreed versus as drifted, milestones with confidence levels, risks with owners, and the two decisions we need from stakeholders in the room. [Paste the status material.]
Style: One pack, four sections; RAG the milestones; decisions framed as options.
✓ In the licence you already pay for
Most of these run on the licence you already pay for.
The gap is that nobody's pointed it at the job yet. That's the work we do, and it starts with a half-hour call - bring the one that looked most like your week and we'll tell you whether it's a quick win or a proper build. No licence yet? We'll help you pick one first.
← All twelve teams