How we build enterprise AI agents
Enterprise AI agents for regulated workflows, built the way they have to run in production — governed, observable, and operable. Falcon Builder is the platform that gets them there.
Core principles
The four things every system built on the platform has to get right.
Governance built in
Data handling designed for regulated workflows — not bolted on after a demo. Compliance and operational control are part of the architecture.
- BAA in place with Anthropic
- Zero data retention with Mistral
- PHI/PII redaction in-pipeline
- Access control and policy-aware tool use
Transparent execution
Every run is logged and inspectable. When something goes wrong, you can see exactly what happened and why.
- Execution logs and run replay
- Audit-ready event trails
- Deterministic handling of side effects
Built for teams to own
What gets built is easy to understand, debug, and operate — so the next person on the team can run it without guessing.
- Clear structure, not black-box prompts
- Documented handoff
- Operate and iterate over time
Slots into real operations
Agents connect to the tools and systems an operation already runs — telephony, messaging, document stores, databases, and internal APIs — with a person in the loop where it matters.
- Twilio, Retell, email, and SMS
- SharePoint and OneDrive document stores
- PostgreSQL and REST APIs
- Clean escalation paths to staff
From prototype to production, in three layers
Every workflow built on the platform runs through three layers: composition, execution, and operations.
Composition layer
Define the workflow as composable nodes — calls, routing, intake, follow-up, tool calls, document retrieval — and the points where a human takes over.
Execution layer
Governed model calls, tool invocation, error handling, and deterministic side effects — triggered by voice, SMS, email, webhooks, or schedules.
Operations layer
Execution logs, run replay, metrics, access control, and audit-ready reporting — the part that lets a team actually own the system.
Deploy where the data has to live
Falcon Builder runs in a BAA AWS environment by default, with VPC and private-endpoint patterns for teams that require network isolation, and local model endpoints (via Ollama) where data residency or policy demands it. SharePoint and OneDrive connect as in-agent actions and as knowledge-base layers.