A2 — AI Apps & Integration
Virtual Assistant Development
Voice and text AI assistants that handle bookings, questions and internal workflows around the clock.
Overview
Many requests follow a pattern: book a slot, check a status, answer a policy question, update a record. A virtual assistant can handle them at any hour, as long as it is connected to the right systems and checked carefully.
We build assistants that work through text or voice, connect them to your calendar, CRM or internal tools, and test them against real requests before they go live.
What we do
- 01
Map the tasks the assistant should handle
- 02
Connect calendars, CRMs and internal tools
- 03
Build voice or text conversation flows
- 04
Add confirmation steps for important actions
- 05
Test real conversations before launch
How we work
- Step 1
Discover
We agree the use case, data sources and what a good answer looks like.
- Step 2
Build
We integrate the model, your data and your product in short iterations.
- Step 3
Evaluate
QA tests accuracy, safety and edge cases against an evaluation set before launch.
- Step 4
Monitor
We track quality and cost in production and keep improving.
Who it's for
- Service businesses handling many booking requests
- Teams with repetitive internal requests
- Companies wanting round-the-clock first-line support
What you get
- A task map and conversation design
- Integrations with your tools
- A voice or text assistant ready to deploy
- Testing of real-world requests and failure cases
Questions
Voice or text: which should we choose?+
Text is quicker to build and easier to test; voice suits phone-heavy businesses. We'll recommend one based on how your customers contact you.
Can it take actions, not just answer questions?+
Yes, such as booking appointments or updating records, with confirmation steps for anything important.
How quickly can you start?+
Most engagements start within 5–7 business days of agreeing scope, and urgent work can start within 48 hours.
Tools
- OpenAI
- Claude
- Gemini
- n8n
- Zapier
- LangChain
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