Inbox and service workflows
Read incoming requests, identify the account and prepare the next action. Give the person reviewing an exception the original message and the relevant record together.
AI agent development for work across your tools
AI agent development services turn a repeated job into a workflow your team can run. dplyz builds agents that read the request, use the right tools and bring in a person when the next step needs judgment.
Discuss a project
The answer is only part of the job
A customer asks to reschedule. Someone still has to find the booking, check the rules, update the calendar and confirm the change. We start with that whole sequence, including the exceptions. The agent gets a defined job and a small set of permitted actions.
Scope of work
Agents that use your systems
Connect a workflow to your CRM, ticketing, calendar or internal APIs. Define which actions can run automatically, which need approval and how to recover from a failed call.
A repeatable way to check quality
Test against real cases from your team: missing information, conflicting records and requests outside the rules. Track completed work alongside escalations and incorrect actions.
A working example
From an incoming request to a confirmed booking
An illustrative service workflow. Your policies determine what the agent can change.
- 01
Understand
Match the message to a customer and an existing booking. Ask for missing details before acting.
- 02
Check
Read availability and the rescheduling policy. Keep prices and exceptions tied to their source.
- 03
Act
Propose the new booking, request approval where needed and write the confirmed change once.
- 04
Record
Send the confirmation and attach the actions taken to the customer record.
Built to hand over
What you receive
We use ordinary automation where fixed rules do the job. A model belongs in the steps that need language or judgment; it does not need to control every step.
- A working agent inside the agreed systems
- A written action and approval policy
- An evaluation set built from your own cases
- Logs, exception handling and an operator runbook
About agentic AI & automation
Yes. Approval can sit before a message is sent, a record is changed or a booking is confirmed. We agree those boundaries with the people responsible for the process.
We look for repeated work with accessible records, clear rules and a person who can judge the result. If nobody can tell us what a correct outcome looks like, we define that before building.
Let's talk about agentic AI & automation
Tell us what you want to change, what you run today and who will use the result.