We build AI agents that read documents, look up records and carry out tasks in your systems. You decide what they can access and when someone must approve a change.
StorefrontShoppers cannot find the right product
A shopping assistant asks what the customer needs, compares suitable products and checks available stock. It can help build a cart using your product facts and selling rules.
Measure: Product-finding success and add-to-cart rate.
SalesComplex orders take too long to quote
An agent reads a product list or request for quote, matches items to your catalog and checks permitted customer pricing. It prepares a draft cart or quote for the buyer or sales team to approve.
Measure: Quote turnaround and time spent re-entering items.
Customer serviceRequests wait for someone to read and route them
AI classifies incoming enquiries, looks up permitted customer information and prepares a response or assigns the next task. Your team reviews sensitive requests and exceptions.
Measure: Resolution time and requests needing a second handoff.
Order operationsOrders get stuck between systems
An agent compares the store, ERP and fulfillment records, identifies missing information and prepares the next step. Agreed actions can run automatically; exceptions go to your team.
Measure: Unresolved orders and time spent investigating each one.
Documents and dataStaff retype information from documents and forms
AI extracts information from invoices, forms, supplier files and spreadsheets, validates the required fields and prepares updates to your systems. Uncertain values are flagged for review.
Measure: Time spent entering data and corrections needed after review.
Business operationsRoutine tasks depend on manual follow-up
An agent checks records, prepares updates and routes approvals across your CRM, ERP and internal tools. Agreed actions can run automatically, with a record of what changed and a route for handling failures.
Measure: Time spent on follow-up, completed tasks and unresolved exceptions.
Start with one workflow you can test
- 1
Choose the task
Identify the manual work, the systems involved and how success will be measured. We check whether AI or a simpler automation is the right fit.
- 2
Build a working pilot
Connect the agreed systems and test real scenarios, including missing data and incorrect answers. Set access permissions, approval points and a usage budget.
- 3
Roll out and improve
Launch after the agreed checks pass, train the team and review results. Expand to more tasks, stores and teams when the evidence supports it.
Before launch, we agree where your data is processed, what the agent can read or change, which actions need approval and who handles failures. Payments, refunds and customer-facing changes follow those rules.