Internal agents operate in a controlled environment. External-facing agents operate in the wild - where users are unpredictable, adversarial inputs are real, and your brand reputation is on the line with every interaction.
Building external agents requires a different design discipline: input validation, injection prevention, graceful degradation, brand-safe personas, and strict data handling for customer information. We architect agents that hold up under real-world pressure.
First-contact agents that qualify leads, gather requirements, route to the right human or workflow, and capture structured data - 24/7, without a contact form.
Conversational intake with structured output
CRM integration and lead scoring
Escalation rules and handoff to humans
Grounded-in-your-docs support agents that answer questions from your actual knowledge base - not LLM hallucinations. RAG-backed, citation-supported, and escalation-aware.
RAG-backed answers from your documentation
Source citation for every answer
Ticket creation and tracking integration
Conversational voice agents for phone-based customer interactions - scheduling, status updates, FAQs, and intake - with natural language understanding and graceful fallback to human agents.
STT/TTS integration with LLM reasoning
Conversation state management
DTMF fallback for accessibility
Event-triggered agents that respond to customer actions, process form submissions, trigger downstream workflows, and maintain context across multi-step async sequences.
Webhook-driven agentic workflows
Async multi-step automation pipelines
Integration with Zapier, n8n, custom APIs
External agents represent your brand. A single jailbroken response, off-topic hallucination, or leaked customer data can cause real damage. We design multi-layer protection from day one.
Every user input validated before reaching the LLM. Injection detection, length limits, content filtering, and schema validation for structured inputs. Adversarial inputs fail gracefully, not spectacularly.
System prompt engineering that enforces brand voice, topic boundaries, and response guardrails. The agent knows what it is, what it can discuss, and what it must refuse - consistently.
When the agent hits its limits - topic out of scope, low confidence, adversarial input - it degrades gracefully: acknowledges limitations, offers alternatives, and escalates to humans when needed.
GDPR/CCPA-compliant data flows for customer interactions. Minimal data collection, consent management, retention policies, and subject access request support built into agent design.
Adversarial testing before go-live. We attempt to break your agent - jailbreaks, prompt injection, off-topic manipulation, data extraction attempts - and fix everything we find.
Production monitoring with anomaly detection on agent outputs. Real-time alerts for unexpected behavior, topic drift, or quality degradation - before your customers notice.
Chat widgets, in-page assistants, and floating agent interfaces embedded directly into your web properties.
REST or WebSocket agent APIs your own apps and third-party tools can call - with auth, rate limiting, and request validation.
Slack, Teams, WhatsApp, SMS - agents that meet your customers where they communicate already.
Native integrations with Salesforce, HubSpot, Zendesk, Intercom - agents that write back to your systems of record.