Prepare work for your team
Draft offers, organise requests or check listings so people can spend more time on the decisions.
Give the busywork to AI.
Check product listings, prepare customer offers and answer questions about your business. You decide what AI can do and when it needs your approval.
Discuss your projectAn AI agent is software that can carry out a task using information and tools you give it. For example, it could check whether a product listing has the required details and prepare a request for anything missing.
We choose a useful first task with your team, connect the information it needs and set clear limits. Your team can review the work, approve the next step and see a record of what happened.
What we can build.
Use your business information
Connect the records and tools the task needs, with limits on what AI can see and change.
Keep people in charge
Ask for approval at the right moments, set a spending limit and keep a record of what happened.
Which job should AI do first?
Choose a repeated task with a clear result. For example, a product listing either has the required information or needs a follow-up. A campaign starts with a group of customers and an offer for someone to review.
We look at the information available and what a good result means. A small, useful first job makes it easier to test the work and decide where AI can help next.
How do we stay in control?
You decide which information the AI can use, which tools it may access and which actions need a person’s approval. You can also set spending and usage limits.
We keep a record of the information used, the steps taken and the approvals given. If the AI cannot complete a task reliably, there should be a clear way to ask a person for help.
Can AI work with what we already use?
We check how your existing tools can share information and accept updates. The AI may be able to work alongside them, so the team can keep using familiar systems.
Before launch, we try normal requests, missing information and mistakes with your team. We agree what should happen in each case and who will look after the task once people depend on it.
See an example.
See how the task could work. We build your version around your information, existing tools and the decisions your team wants to check.
A Retter demonstration. The sample request above is another example of what we could build together.
Related experience · Starbucks
One loyalty platform. Three countries. Millions of members.
One loyalty platform for 2M+ users across 3 countries — 750+ stores on AWS.
Read the Starbucks story- daily transactions
- 50K+
- lower cloud cost
- 65%
- faster development
- 10x
The Starbucks case study demonstrates Retter’s production-platform experience. It does not report performance results for the illustrative agents described here.
Start with your brief.
Build with our experience.
Tell us what you want people to be able to do. We agree what to build first, connect it to your other tools and help your team try it before launch. Then we stay to keep improving it.
How we build and launchQuestions about
ai for everyday work.
Will AI make every decision?
No. You choose the work it may do and the points where someone must check or approve the result.
Can AI change or send things without asking?
Only within the permissions and limits agreed for that job. We design approval steps for the actions your team wants to control.
Are the examples on this website live?
No. They use made-up information to show the steps. Nothing is sent, published or changed in a customer’s business.