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 agents forcontrolled businessworkflows.
Turn recurring requests into completed tasks across your existing tools.
Agent Runtime: a request enters the runtime, is reasoned over, calls approved tools, pauses for human approval, executes and is monitored.
Input
Integrations
Reason
Tools
Approval
Action
Monitor
Agent Runtime
What Can We Automate?
Explore all use casesCustomer Support
CRM Operations
Data Processing
Approval Queues
Task Coordination
Reporting
What You Actually Get
- Workflow Specification
- Tool Adapters
- Approval Rules
- Execution Logs
- Deployment Package
- Admin Console
- Operator Guide
- Handover Session
- Workflow Specification
- Tool Adapters
- Approval Rules
- Execution Logs
- Deployment Package
- Admin Console
- Operator Guide
- Handover Session
A missing parcel. A prepared replacement.
Read this example
Order #1042 never arrived. Can you help?
- Checking the order. Payment received. Carrier reports a lost parcel. Reading order + tracking.
- Replacement prepared. Same mug, same address. Stock reserved for review. Draft only.
- A person decides. Replacement #1042-R is ready for the support lead. Awaiting approval · not dispatched.
The agent gathers the facts and prepares the action; the support lead authorises dispatch.
Scripted illustration using sample information, not a client case study or a live system.
What Does It Take to Build?
Get a custom estimatePilot
- One workflow
- 1–2 integrations
- Pilot validation
- Most popular
Production
- Multiple workflows
- 3–6 integrations
- Production rollout
Multi-Team
- Multiple agents
- Cross-team processes
- Custom integration scope
- Ongoing engineering
- Founded in
- 2013
- Projects delivered
- 550+
- Client countries
- 43+
- Global offices
- 3
FAQs
Which workflows should we start with?
Repeatable multi-step work with clear inputs, tools, approval points and measurable outcomes is the strongest starting point.
How are agent actions controlled?
Tools are allow-listed, parameters are validated and sensitive writes pause for human approval before execution.
What happens when an agent fails?
Runs use visible error states, idempotent retries, escalation paths and audit records so operators can recover safely.
Can you connect to existing tools?
Yes. Existing APIs and systems are wrapped with explicit schemas, identity scope and safe-write boundaries.
How is agent quality measured?
Task completion, tool selection, approval outcomes, failure modes, cost and operator feedback are tracked over time.
What affects the delivery timeline?
Workflow clarity, API access, approval ownership, exception paths and evaluation readiness shape the timeline.
Which recurring task costs your team time?
Bring one process and the tools involved. We’ll scope a first workflow.
