Sales.
19 real jobs AI can take on for a sales 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 →
Customer engagement.
Generic product pitches often miss addressing specific customer needs, resulting in slower sales discovery cycles and lower engagement from key stakeholders.
Reps walk into every conversation with researched context, a sharp agenda and a ready pitch in minutes rather than hours.
Try it in your own AI
- Context: I sell [product/service] for [company] and I've got a call with [prospect] on [date]. I know [what you already know]; the gap is what's changed in their world and what they'll care about this quarter.
Objective: Build my call prep: what [prospect] does and how they make money, what's moved recently (results, hires, announcements), the three problems they likely have that we solve, and an agenda of exploratory questions to find out which one is live.
Style: One page - context at the top, questions last, so I can glance at it mid-call.
Tone: The questions curious, not leading - I want their problem in the first ten minutes, not my pitch.
Works in a free chatbot
Discovery insight, CRM history and live notes feed a bespoke deck and proposal built around each buyer's priorities.
Try it in your own AI
- Context: I'm pitching [product/service] to [account] - [one line on the deal stage]. My discovery notes, CRM history and meeting notes are below; the buyer's priorities are in there, buried.
Objective: Pull out what this buyer keeps coming back to - their words, not mine - and build the pitch outline around those priorities, with our proof points mapped to each. [Paste the notes and history.]
Style: An outline with one slide per priority, the buyer's own phrases quoted where they're telling.
Audience: [The buyer's role] - they've seen a hundred generic decks.
Tone: Confident and specific, no superlatives.
✓ In the licence you already pay for
Requirements are parsed, past winning proposals reused and pricing optimised to spend behaviour - a tailored draft assembled automatically.
✓ In your licence - assembled once, then it runs. We set these up →
Bid teams turn around accurate, compelling, fully tailored RFP answers in a fraction of the usual time.
Try it in your own AI
- Context: We're responding to an RFP from [organisation] for [scope], due [date]. Our past bids and win themes are below; the trap with RFPs is accurate-but-generic answers that read like everyone else's.
Objective: For each question below, draft an answer grounded in our material - and where our evidence is thin, say so rather than padding. [Paste the questions and your source material.]
Style: Answer by answer, each opening with the direct answer in one sentence, evidence after.
Tone: Plain and confident - assessors skim.
✓ In the licence you already pay for
Account data and meeting recaps drive a presentation and proposal precisely matched to the customer's stated needs.
✓ In your licence - assembled once, then it runs. We set these up →
Reps stay focused with live talking points and insight, then close every call with a clean recap and updated CRM.
Uses your suite's meeting AI - how this lands varies by licence.
✓ In your licence - assembled once, then it runs. We set these up →
Communication patterns and deal stage drive personalised emails and invites drafted automatically for reps to polish and send.
✓ In your licence - assembled once, then it runs. We set these up →
Reps rehearse realistic deals, handle objections and get instant feedback, lifting performance before they ever face a real buyer.
Try it in your own AI
- Context: I sell [product/service] and I've got [a negotiation / a discovery call] with [type of buyer] coming up. My weak spot is [e.g. price pushback].
Objective: Play the buyer. Stay in character, push back the way a sceptical [role] would - including on price - and don't let me off easy. After each of my responses, break character once to tell me what worked and what didn't, then carry on.
Style: Realistic dialogue, one turn at a time.
Tone: The buyer businesslike and time-poor; the feedback blunt.
✓ In the licence you already pay for
Lead generation.
Manual processes can result in broad, untargeted strategies that result in low conversion rates and higher cost per lead.
Internal and external data are synthesised into a clear market view with competitive insight and actionable sales recommendations.
✓ In your licence - assembled once, then it runs. We set these up →
Reps surface and prioritise the highest-quality prospects, then engage each one with tailored, well-timed outreach.
✓ In your licence - assembled once, then it runs. We set these up →
Researched account and product insight power compelling proactive proposals that open doors before a buyer ever asks.
Try it in your own AI
- Context: I want to open a door at [account] before they run a process - we solve [problem] and I believe they have it because [signal, e.g. their results, job ads, an announcement].
Objective: Build the case: what's changed at [account] that makes this timely, the specific value we'd claim (conservatively), and the short unsolicited proposal that earns a meeting rather than trying to close a deal.
Style: Under two pages - their situation first, our idea second, the ask last.
Tone: Useful before salesy - it should read like insight they'd keep even if they never call.
✓ In the licence you already pay for
Behavioural and CRM signals score leads, predict conversion and direct effort to the opportunities most likely to close.
Built for your business - the work you'd hire us for →
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.
See how a sales manager uses AI to run their team, prioritise deals and stay on top of the day.
Try it in your own AI
- Context: I manage a sales team of [n] at [company]. My mornings vanish into pipeline queries and my reps' blockers; the deals that need me most get me last.
Objective: Be my start-of-day triage. From the pipeline summary and inbox below, tell me which three deals most need my attention today and why, which rep needs a conversation, and what I should decline. [Paste the pipeline report and key emails.]
Style: Three sections, one line per entry.
Tone: Direct - I want the argument, not the diplomacy.
✓ In the licence you already pay for
Follow a senior specialist using AI to compress the sales cycle and move deals forward faster.
Try it in your own AI
- Context: I run complex deals at [company] - long cycles, many stakeholders. The deal below has gone quiet and I need to work out why before it dies of politeness.
Objective: From the history below, map the stakeholders we've engaged against the ones who'll decide, spot where momentum stalled, and give me three credible reasons to restart the conversation this week that aren't 'just checking in'. [Paste the deal history.]
Style: Stakeholder map as a table; the three re-openers as drafted one-line messages.
✓ In the licence you already pay for
See how an account manager uses AI to nurture accounts, spot opportunities and manage their day.
Try it in your own AI
- Context: I manage [n] accounts at [company]. Renewal season is coming and some accounts are quietly at risk - the signals are in the notes, I just haven't had time to read them all.
Objective: From the account notes below, rank my accounts by renewal risk with the evidence for each, and suggest the one action per at-risk account most likely to change the picture. [Paste the notes.]
Style: A table - account, risk, evidence, action - riskiest first.
✓ In the licence you already pay for
Follow a digital sales specialist using AI to accelerate prospecting, engagement and the path to close.
Try it in your own AI
- Context: I prospect digitally for [company] - [product] into [market]. My outreach volume is fine; my reply rate isn't, and I suspect my messages read like everyone's.
Objective: Take the three outreach messages below, tell me what a busy [target role] sees in the first line, and rewrite each so the first sentence is about them, not us. [Paste the messages and who they went to.]
Style: Before and after per message, one line of reasoning each.
Tone: The rewrites human and specific - no 'I hope this finds you well', no 'quick question'.
✓ In the licence you already pay for
Post-sale follow up & upsell.
Manual follow ups are often delayed or forgotten, leading to missed opportunities to flag service concerns or upsell opportunities.
Post-sale signals and sentiment reveal upsell and cross-sell openings, turned into tailored follow-ups and a guiding report.
✓ In your licence - assembled once, then it runs. We set these up →
Sales, product and marketing align on researched, well-presented answers to customers, with the CRM updated automatically.
✓ In your licence - assembled once, then it runs. We set these up →
Negotiation & closing.
Intensive customer meetings and reliance on intuition rather than data-driven strategies can lead to prolonged negotiations and decrease pipeline velocity.
Customer goals and interaction history shape tailored offers, smart deal terms and negotiation prep that speed deals to signature.
Try it in your own AI
- Context: I'm shaping an offer for [customer] - [deal context in a line]. Their goals and our interaction history are below; the negotiation will hinge on [what you expect].
Objective: Draft three offer structures that hit their stated goals at different price and commitment mixes, with the trade each one asks of us - then prep the three pushbacks I should expect, with my best responses. [Paste the goals and history.]
Style: Options as a comparison table, negotiation prep as bullets after.
✓ 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