Built to Work with the Tools You Already Use
Technical advantages
Connectivity Built for Your Team
Data Orchestration
Extract CCaaS & AI-agent conversation data and enrich it with CRM context and metadata via 250+ enterprise-grade connectors — complex data requests, all at scale.
Synchronized systems
Sync reporting, summaries, and sentiment scores into your CRM, BI platforms, and data lakes with pre-built connectors — power analytics and alerts with no disruption to your stack.
Enterprise-grade Security
End-to-end encryption, PII redaction, and strict data-access controls. Built for SOC 2, HIPAA, GDPR, and enterprise compliance — your data stays protected at every step.
More than a Connection.
A Workflow that gets the job done.
A simple integration moves data. A Workflow does work. It pulls the context an agent needs mid-conversation, runs multi-step jobs across your systems, and finishes what it started — even when a downstream system is slow, flaky, or down.
Workflows run alongside the LLM, not inside it. The conversation never stalls waiting on a backend, and the model never has to guess at data it can fetch for real.
Context for the conversation. Fetch account state, eligibility, and history in real time — so the agent reasons over facts, not assumptions.
Durable by design. Built-in retries, timeouts, and fallbacks keep jobs alive across transient failures — no dropped work, no dead ends.
Runs alongside the LLM. Long-running and async steps execute in parallel — the conversation keeps flowing while the work completes.
A connector moves data.
A workflow gets the work done.
Most platforms stop at the connection. An API is wired, data flows, and the rest is your problem. Our workflows is the work itself: the multi-step job an agent runs to actually delivers an outcome within the systems you use.
Standard integration
—
Fires a single call, hopes it lands
—
One failure breaks the chain
—
Blocks the conversation while it waits
—
No memory of what already ran
—
You stitch the steps together
Observe.AI Durable workflow
Runs a multi-step job end to end
Retries, falls back, and recovers
Executes alongside the LLM to enrich context
Durable state — resumes exactly where it left off
Authored once, reuse across AI agents
Context in the moment.
Jobs that extend beyond the call.
The same durable engine powers two kinds of work — feeding live conversations the facts they need, and carrying long-running jobs to completion even after the customer hangs up.
Context for the conversation
Mid-call, the agent needs facts — account state, eligibility, order history, entitlement. The workflow fetches them in real time and hands the model grounded data, so it reasons over what's true instead of guessing.
<200 ms
typical context fetch
live
grounds every answer
Work that finishes itself
Process the refund, file the claim, schedule the callback, update three systems in sequence. These jobs run in the background — surviving slow APIs and outages — and complete reliably whether or not the conversation is still open.
∞
long-running & resumable
100%
completes or escalates
What makes a workflow durable
Built to Finish, Not Just to Fire
Retries & Fallbacks
When a system is slow or down, workflows retry, route to a backup, or degrade gracefully — the job still completes.
Parallel to the LLM
Async and long-running steps execute beside the model — the conversation never blocks on a backend call.
Live Conversation Context
Fetch real account state, eligibility, and history mid- call — so the agent grounds every answer in fact.
Observable & Governed
Every step is logged, permissioned, and auditable — with full visibility into what ran, when, and why.
Workflows are authored once and reused across every agent — configured automatically by CoBuilder and orchestrated through the platform runtime.
Connect 250+ OOTB
Don't see your system? Let us know—we work with everyone
Don't see it?
Build it.
Beyond the 250+ pre-built connectors, our open APIs and Model Context Protocol support let you connect any internal or third- party system — no custom glue, fully governed.
connect your stack. Let agents do the work
See how Observe.AI plugs into the systems your contact center already runs on.
