Product Studio
Products built around intelligence, not bolted onto it.
Adding a chatbot to an existing app is easy and rarely useful. Rivach designs products where AI carries the core workflow — copilots that act inside the product, agents connected to real tools and data, retrieval systems grounded in your documents, and SaaS platforms where the model is the engine, not a feature.
Handled
142
Automated
98%
Review
4
What it covers
Capabilities
AI copilots & assistants
In-product assistants that take real actions — drafting, updating records, running workflows — not just chatting.
Agentic systems
Multi-step agents connected to tools, APIs, and databases, with guardrails, retries, and human checkpoints.
RAG & document intelligence
Retrieval systems grounded in your actual documents, with citations, access control, and evaluation baked in.
AI SaaS platforms
Full products — auth, billing-ready architecture, dashboards, APIs — with AI at the center of the value.
Decision support systems
Research automation, summarization pipelines, and analysis tools that compress hours of reading into minutes.
Evaluation & reliability
Test sets, regression evals, and monitoring so AI behavior is measured — not assumed.
How we deliver
Built with studio standards, end to end.
Every engagement includes the unglamorous parts that make software dependable: architecture, security, deployment, monitoring, and documentation.
- Product and workflow design before any model work
- Architecture for cost, latency, and reliability
- Model and provider selection per use case
- Guardrails, fallbacks, and human review where needed
- Evaluation pipelines and quality monitoring
- Production deployment and observability
- Documentation and handover, or ongoing management
Use cases
Where this service earns its keep
Good fit for
Industries we deploy this in
- SaaS & technology
- Healthcare & pharma
- Professional services
- Finance & accounting teams
- Logistics & supply chain
Trust & Control
Automation with adult supervision
Every Rivach system ships with the controls that make AI safe to put on real work.
Human-in-the-loop approvals
Sensitive actions wait for a person. Approval queues are designed for fast, informed decisions.
Audit trails
Every action an agent or workflow takes is logged and reviewable — by item, by day, by system.
Escalation paths
Clear rules route complex or uncertain cases to your team with full context attached.
Role-based access
People and agents see only what their role allows. Permissions are explicit, not implied.
Monitoring & QA
Dashboards, alerts, and sampled quality reviews keep performance visible — not assumed.
Fallbacks & error handling
When an integration fails or input is ambiguous, the system degrades safely and tells someone.
Have an AI product in mind?
Bring the problem, not the spec. We help shape what the product should be, then design, build, and ship it.