What we deliver
- Product scope and agent behavior map
- Tool and memory architecture
- Chat, voice, or internal UI
- Evaluation set and failure-mode tests
- Deployment, monitoring, and iteration plan
New AI agent products
From a blank repo to an agent in production.
API-only AI vendors are powerful, but you still need the system around the API: data plumbing, approval flows, audit trails, and a team that owns it after launch. That's where we live.
Best for: Best when your team already has product engineers, data plumbing, approval flows, and monitoring.
Silvatech: We build the workflow around the API: data access, tools, review paths, audit logs, and production support.
Best for: Best when the goal is fast FAQs with limited integration into the rest of the business.
Silvatech: We connect the agent to CRM, accounting, WhatsApp, dashboards, and operations data when the workflow needs it.
Best for: Best when a program needs large teams, long procurement cycles, and enterprise-scale staffing.
Silvatech: We bring senior engineers, short cycles, and direct accountability when speed and ownership matter.
Problem: A new service needed an AI-first workflow but could not rely on a chatbot alone.
Approach: We designed an agent with tools, memory, approvals, and an operator dashboard.
No. The agent uses tools, memory, rules, and review paths to complete work instead of only answering questions.
Yes. We can scope voice or chat front-ends depending on the workflow and operating environment.
We define eval cases, expected outputs, blocked actions, and manual review scenarios before launch.