Rasa
Enterprise AI agents with full control. We build Rasa solutions using CALM for organisations needing reliable, process-aware conversational AI with data sovereignty.
The CALM approach
CALM (Conversational AI with Language Models) combines LLM understanding with deterministic execution. AI handles dialogue; defined flows enforce business rules.
Process calling
The LLM invokes and collaborates with stateful processes rather than arbitrary tool calling. Business logic stays in code, not in prompts.
No NLU training
Modern Rasa uses LLMs for understanding, eliminating the need for intent classifiers, training data curation and NLU pipeline maintenance.
Built-in reliability
Agents stay on track, follow business processes and escalate appropriately. Flows are defined explicitly rather than left to model behaviour.
Why Rasa for enterprise
Rasa provides control and predictability that cloud-hosted alternatives cannot match for regulated environments.
Data sovereignty
Deploy on your infrastructure. Conversations never leave your environment, meeting strict data residency requirements.
Process reliability
AI agents that follow business rules consistently. Processes are encoded explicitly with safe fallbacks for unexpected inputs.
Full transparency
See exactly what your agents do and why. Complete observability into decision paths and conversation handling.
Operational control
You manage capacity and the serving environment. No dependency on third-party availability or pricing changes.
LLM flexibility
Use any LLM provider. Switch models without code changes, choosing based on cost, performance or compliance requirements.
Voice support
Low-latency voice integration with proper turn-taking for organisations that need spoken conversational interfaces.
What we build with Rasa
Customer service agents
Handling enquiries, resolving issues and routing to humans when needed, with consistent process adherence.
Transactional assistants
Money transfers, account changes, bookings and other transactions that require reliable, auditable execution.
Internal agents
HR, IT and operational queries with enforced procedures, approval workflows and system integrations.
Voice-enabled agents
Low-latency spoken interactions with natural turn-taking for contact centre and IVR replacement.
Enterprise deployments
High availability infrastructure with analytics, observability and team collaboration at organisational scale.
Migration projects
Moving from legacy chatbot platforms or older Rasa versions to the modern CALM architecture.
Rasa editions
Rasa offers a free developer edition for prototyping and Rasa Pro for production deployments with enterprise features.
Developer Edition
Free edition for prototyping, learning and building proof-of-concept agents.
Rasa Pro
Production deployment with security controls, analytics, observability and higher throughput.
Self-hosted
Deploy on your infrastructure with full control over data, compute and networking.
Frequently Asked Questions
Is Rasa only for traditional intent-based bots?
No. CALM uses LLMs for understanding while keeping control in defined flows. It combines the best of modern language models with deterministic process execution.
When is Rasa a good fit?
When you need predictable behaviour, process adherence and deployment control. Especially relevant for enterprise and regulated environments.
How do you prevent hallucinated steps?
Processes are encoded explicitly. Tool access is constrained, actions are validated and safe fallbacks handle unexpected situations.
How do you maintain quality over time?
Through monitoring, regression testing, conversation analytics and controlled flow and model releases with rollback capability.
Build with Rasa
We help organisations build reliable conversational AI with Rasa. Book a call to discuss your requirements.