AI agents in your industry
Retail & Consumer Businesses
Resolve the everyday requests. Keep people close to the exceptions.
A refund, a stock shortage or a service handover can become a customer’s next problem. See how agents can complete routine work within your rules and bring the exceptions to your team.
Related customer story · Procurement
See the supplier risk. Decide what happens next.
Explore how supplier assessments and changing risks can reach buyers with the evidence and next decision already prepared.
- Supplier risk
- Buyer decisions
- Evidence attached
Novagentica in action
Work your team will recognise.
Explore what could change in the work, and which decisions your people keep.
Example · Customer service
The return is eligible. The customer should not have to wait.
A routine refund can move on its own when the rules are met.
The situation
A customer has returned an item. Someone still needs to match the request to the order, check eligibility and confirm the amount before the refund can be completed.
With Novagentica
An agent checks the return against the recorded order and your refund policy. An eligible refund within its amount limit can proceed. A request outside that authority goes to the responsible person with the reason for review.
From the signal to the result
The starting point
Return matched to the order
Within agreed rules
Policy & amount checked
Business Authority
Eligible refund completed or exception reviewed
The result
Payment & order records checked
The result is checked
The authorised amount is compared with the payment and order records. Differences are flagged for review.
Routine requests can be resolved promptly while people handle the cases that need judgement.
Example · Inventory
A shelf is running low. Turn the signal into an order.
Keep stock moving without giving an agent an open spending limit.
The situation
A stock signal is only the beginning. The team needs to check the supplier, decide the quantity and make sure the order fits the budget before replenishment can move.
With Novagentica
An agent prepares a replenishment order from approved stock and supplier information. Orders inside the agreed quantity and budget limits can proceed. Exceptions go to the category owner with the proposed order attached.
From the signal to the result
The starting point
Stock need identified
Within agreed rules
Supplier, quantity & budget checked
Within agreed rules
Order placed within authority
The result checked
Purchase order read back & checked
The result is checked
The saved purchase order is read back and compared with the agreed supplier, quantity and value.
Routine replenishment can keep pace with demand, with spending decisions kept within your rules.
Example · Service operations
The customer changes teams. Their story should follow them.
Make the handover useful to the person picking up the case.
The situation
A request reaches the wrong queue or arrives without enough context. The next team has to ask again, and the customer waits while ownership is sorted out.
With Novagentica
An agent classifies the incoming request, gathers permitted context and creates a follow-up task for the appropriate queue. A case outside the routing rules is sent for human review instead of being passed along blindly.
From the signal to the result
The starting point
Request received
Within agreed rules
Context & routing checked
Within agreed rules
Task sent to the right team
The result checked
Owner & case record verified
The result is checked
The case owner, queue and task are checked. Classification quality can be benchmarked over time.
The next person can pick up the work with the context and ownership already in place.
Already using agents?
Find out where they need work.
Start with an assessment of their controls or what they need to be more useful.
START WITH YOUR BUSINESS
Let’s look at a task in your business.
Bring an agent you already use or a task you want to improve. We’ll work through the rules, systems and result checks it would need.