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info@extended-developments.comUseful applied AI
Conversational UX
Conversational interfaces that set expectations, collect the right context, present sources and actions clearly, and recover gracefully from uncertainty.
Capability04 / 05
Designed around the job
What the work includes.
01
Conversation and intent design
02
Chat interface and interaction states
03
Fallback, handoff, and feedback flows
Built for outcomes
The implementation is only useful when it improves the work around it. These are the outcomes we design toward.
More successful task completion
Better handling of uncertainty
How we work
From intent to impact.
- 01
Choose a real job
We define the task, users, source material, actions, risk, and success criteria before selecting models.
- 02
Build the controlled loop
Retrieval, tools, state, permissions, approvals, and fallback behavior work together around the model.
- 03
Evaluate continuously
Representative test cases, production feedback, and monitoring make quality visible over time.
Also within AI Agents & Chatbots
Connected capabilities.
Good to know
Clear answers.
01Can an AI agent update our business systems?
Yes, when the relevant system exposes a suitable interface. We add narrow permissions, validation, logging, and human confirmation based on the risk of each action.
02How do you reduce incorrect AI answers?
We combine clear instructions, trusted retrieval, structured tools, constrained outputs, evaluations, and visible uncertainty. No single technique removes every error.
03Can we choose the AI model provider?
Usually, yes. We compare privacy, capability, latency, cost, hosting, and regional requirements before selecting a model setup.
Start a conversation
Ready to put Conversational UX to work?
Tell us what needs to change. We will help define the right first step, the technical shape, and a realistic route to launch.