Use cases
Agent payments. Everyday operations.
Explore agent payments, everyday operations and a client project already in production.
Merchants: agent payments you can trust
AI agents are starting to buy for the people who use them. Sharp Trust tells a merchant who is paying, whether the customer really allowed it and how risky it is, and lets the merchant run agents of its own within limits.
Know who is paying
When someone else’s agent comes to pay, one call checks who it is, whether its customer allowed it and how risky it is: a Sharp Score and a decision.
Your own agents, with a mandate
Create agents with Claude or ChatGPT, or register the ones you run: what each may buy, sell or refund, and a budget shared by a team of agents.
Unclear cases go to your team
Approve, ask the customer, refer or decline. Anything unclear reaches a person with the reasons already written.
Chargebacks with the evidence ready
The agent, its mandate and the terms it saw, packaged before the dispute lands.
Rules tested before they go live
Try new rules on past traffic and check that your catalogue is ready for agents to sell.
Where it shows up first
Travel and hospitality
Bookings made by a customer’s assistant: verify the agent and its mandate, and review high-value tickets sooner.
Online retail
Agents that buy, return and ask for refunds for their users: one policy for all of them, with the evidence kept.
Subscriptions and digital goods
Sign-ups, upgrades and small payments started by agents, approved without friction when the agent is trusted.
Marketplaces
Many sellers and many buying agents: one acceptance policy, with an exception where a seller needs one.
Sharp Trust is in pilot. A pilot starts in advisory mode: nothing is blocked until you decide, and no card credentials are shared.
Also for banks and payment providersVeterinary clinics: the morning, in one place
Veterinary clinics manage appointments, reminders and lab results across email, WhatsApp and phone. In this demo, Sharp Assist works with the clinic’s Gmail, Drive, Calendar and WhatsApp, preparing work for the team to review and approve.
Screens and data from the demo clinic. Sending reminders from the clinic’s own WhatsApp number is in development.
Vaccine and check-up reminders
It finds who is due this week and prepares each reminder. Nothing goes out until someone approves it.
Lab results, filed
Results that arrive by email are saved in each patient’s folder in Drive, and the team sees what came in.
Appointments and free slots
“Is there a slot tomorrow for Luna?” Ask on WhatsApp and it answers from the clinic calendar.
The morning summary
Today’s appointments, the emails that need a person and what is waiting for approval, before the first patient.
Replies to owners
Draft answers with the patient’s details and their sources, ready for the clinic team to check and send.
BACAF: property sheets from a written brief
BACAF works in real estate. Their team writes a short brief and the app Sharp Labs built returns a property sheet or a commercial dossier in BACAF’s format, ready to send.
- Satellite map and Street View photos of the property
- An editable Google Slides deck in BACAF’s template
- A PDF filed in the right folder in Drive
- Google sign-in for the team
Other businesses
The same assistant, other workflows
Illustrative scenarios: the first workflow we would automate in each one.
Law firms
New matters opened from email, deadlines and key clauses pulled from contracts, and a summary ready for review.
Supermarket chains
Supplier orders and stock from every store in one place, with an alert when something does not add up.
Self-storage
Door, lift and access incidents from every centre on one panel, each with a named owner and its repair time.
What we measure
Every pilot starts with a number
Agentic Commerce
- Agent payments approved without friction
- Payments sent to manual review
- Disputes answered with complete evidence
AI Automation
- Hours the team gets back each week
- Time to answer a client
- Reminders and deadlines that no longer slip
Does your business look like one of these?
A short call is usually enough to know whether there is something worth building, and where to start.