Document-grounded assistants
Assistants and multi-step AI workflows with agreed controls.
Inactive
Simplifying IT
for a complex world.
Platform partnerships
- AWS
- Google Cloud
- Microsoft
- Salesforce
AI Agents & Assistant Development
AI agents can coordinate multiple steps, retrieve information and call approved tools. Reliable implementation starts with restricted capabilities and a clear definition of the task.
What we can help you build
Multi-step business workflows
Design explicit tool permissions, state transitions and evaluation cases. Use LangGraph where recoverable state and approvals are needed, and review usage costs and failure behavior.
Tool integrations with human approvals
Yes, within permissions defined by the application. Sensitive changes should require authorization or human approval, and important actions should be logged and recoverable where possible.
From your workflow to a working solution
Design explicit tool permissions, state transitions and evaluation cases. Use LangGraph where recoverable state and approvals are needed, and review usage costs and failure behavior.
- Discover: Review users, current tools, data and the task you want to improve. Agree what success means and which integrations are essential.
- Design and build: Plan the architecture, permissions and interface. Implement an agreed scope in reviewable stages with representative data.
- Validate and hand over: Check key journeys, integration failures and access rules. Document configuration and agree release, support and ownership.
Technology options
Select a technology to explore its role, suitable use cases and implementation considerations. The final stack follows your requirements and existing systems.
Questions about this service
What does ai agents & assistants involve?
AI agents can coordinate multiple steps, retrieve information and call approved tools. Reliable implementation starts with restricted capabilities and a clear definition of the task.
How do you approach ai agents & assistants?
Design explicit tool permissions, state transitions and evaluation cases. Use LangGraph where recoverable state and approvals are needed, and review usage costs and failure behavior.
What should I know before starting?
Yes, within permissions defined by the application. Sensitive changes should require authorization or human approval, and important actions should be logged and recoverable where possible.
How are cost and delivery time agreed?
Share the current system, required workflows, integrations and target launch window. Dork Industry confirms scope, dependencies and acceptance criteria before preparing a project quote; there is no fixed price or guaranteed timeline on this page.