The team at Daphnis Labs redefined what’s possible for Urbanface. They delivered a bespoke, animation-heavy website that remains incredibly quick and functional. The…
AI automationfor the work betweenyour systems.
Combine fixed business rules with extraction, classification and drafting where they help.
01Event
02Business rules
03AI task
04Validation
05Action
!Exception
What Can We Automate?
Explore servicesLead Intake
Support Queues
Content Operations
Recurring Reports
Document Intake
System Handoffs
What You Actually Get
- Workflow Map
- Trigger Configuration
- Extraction Templates
- Rule Definitions
- Action Connectors
- Exception Queue
- Run Dashboard
- Recovery Playbook
- Workflow Map
- Trigger Configuration
- Extraction Templates
- Rule Definitions
- Action Connectors
- Exception Queue
- Run Dashboard
- Recovery Playbook
Example: Our Shopify Image Automation.
Step 1 / 6
Product Brief
Example input: create a product image for a Shopify listing.
- Product Brief
- Node.js Server
- ChatGPT
- Image Set
- Review
- Shopify Assets
Worked example · Step 0 of 6
What Does It Take to Build?
Get a custom estimatePilot
- One process
- Limited trigger types
- Sample runs
- Recommended
Production
- Several connected tools
- Live operational volume
- Team exception handling
Enterprise
- Multiple departments
- Cross-process dependencies
- Custom operations reporting
- Ongoing optimisation
- Founded in
- 2013
- Projects delivered
- 550+
- Client countries
- 43+
- Global offices
- 3
FAQs
How is this different from an AI agent?
A workflow follows a defined sequence and branches through explicit rules. An agent may choose intermediate steps or tools. We use the level of flexibility the task needs.
Can you use our existing automation platform?
Yes, where its connectors, execution limits and operating model fit the task. We can extend an existing platform or build the parts it cannot cover.
What happens when a system is unavailable?
The workflow needs a defined retry policy, an exception state and an owner. Operations that change records should avoid duplicate execution where the target system supports it.
Can staff correct an extracted value?
Yes. A review screen or exception queue can let an authorised person amend missing or ambiguous fields before the workflow continues.
Do all steps need AI?
No. Routing rules, calculations and known transformations are often better expressed directly in code or the automation platform. AI is used for the parts that need it.
How do we assess whether it is worth automating?
Start with run volume, handling time, exception frequency and the cost of errors. These provide a baseline for deciding whether the first workflow is useful.
Which handoff keeps slowing your team down?
Bring a recent example, the tools involved and the exceptions people handle today.
