Capture & Ingest
Records land in CEDX Speech already linked to the canonical customer, employee, or vendor ID.
CEDX Speech transcribes batch and live audio, scores every job for word error rate and confidence, and runs voice agents whose interruptions and CSAT are watched as closely as their costs.
"When Sales, Operations, and Finance read and write the exact same Postgres record, month-end stops being a detective i..."
| AI Engine / Agent Runbook | Grounded Schema Scope | Caller & Policy Guardrail | Token / Latency Budget | Deterministic Write Gate | Audit Trace |
|---|---|---|---|---|---|
| Deal Desk Margin CopilotCEDX Speech · Record #1040 | CRM + Quotes + Books AR | RBAC: Account Executive | 180ms · $0.004 / Run | ● Human-in-the-Loop Signoff | Trace #99412 |
| Autonomous AR Collections AgentCEDX Speech · Record #1041 | Books Overdue + Mail + Sign | RBAC: Finance Controller | 310ms · Zero Hallucination | ● Leashed to Approved Tiers | Trace #99418 |
| AI Gateway Model RouterCEDX Speech · Record #1042 | Zero-Retention Enterprise LLM | PII Redaction Active | 99.98% Cache Hit Rate | ● Strict Cost Cap Enforced | Trace #99425 |
| Voice & Call Floor IntelligenceCEDX Speech · Record #1043 | Live Speech-to-CRM Extraction | 100% Call Transcription | Real-Time Sentiment + Next Step | ● Auto-Logged to Deal Record | Trace #99431 |
The demo's field-radio channel runs at an estimated 17.8% word error rate with 0.61 confidence, and it sits on the overview as a priced alert, not buried in a log. Hard audio is the case this product is built for.
Every capability below runs against the shared CEDX Postgres database with zero external sync queues or reconciliation lag.
320 jobs in view with model, status, word error rate, confidence, duration and cost on each row. job_18713 (Claims intake on listen-accurate) came out at 6.8% WER and 0.83 confidence; the Support IVR job beside it ran 14.0% at 0.65. The difficult rows are not hidden: a 22.4% WER job sits flagged Warning in the same table.
48 streaming sessions with an average first byte of 527ms and an average RTF of 1.03: wall time against audio time, printed on the header. A 13-minute field-radio stream holds 0.71 confidence; the errors, one at 0.33, are in the table with everything else.
14 voice agents, 23,734 sessions in 30 days, and the columns that make voice honest: handle time, barge-in share, tools per session and CSAT. booking.confirmation carries 6,980 sessions at 4.8 CSAT despite a 32% interrupt rate; dispatch.status-line is paused at 3.8, which is also a decision this table supports.
Every figure below is directly inspectable in the running CEDX Speech application workspace with zero synthetic projections.
Click any screen below to inspect how CEDX Speech moves from initial intake to verified cross-estate completion.
320 jobs in the sample (256 completed, 39 failed, 14 processing, 11 queued) with the 12.2% fail rate on a headline card. Storm week's field-radio spike is annotated on the chart, and the alerts are priced: accurate-model spend up 22% week over week at $39.40, field-radio WER risk at $22.10.
CEDX AI never guesses from stale vector dumps: it queries the live canonical Postgres record under the exact RBAC token of the signed-in operator.
Records land in CEDX Speech already linked to the canonical customer, employee, or vendor ID.
Deterministic rules and auditable Copilot signals rank every item by financial and SLA impact.
Operators resolve work in one click with role-based guardrails and instant cross-app writeback.
Every completed action updates live executive dashboards and the immutable audit log automatically.
Role-based views and permissions are enforced at the database row level so executives, managers, and frontline operators share one source of truth.
Watches the Support IVR project: 18-minute calls at 14% WER, the es-US confidence gate at 0.88, and the disconnect cluster the alert traces to packet loss.
Reads transcripts against the audio: sorts by WER, opens the 22.4% rows, and decides what the glossary has to learn next.
Keeps the retention question answerable: every job has an id, a model, a duration and a cost, exportable to CSV.
CEDX Speech is not an isolated point tool. It reads and writes the exact same customer, ledger, and identity records as the rest of the CEDX software estate.
Listen and speak models are metered per job and per session here; per-call cost and rate discipline is what the gateway keeps for the whole estate.
The demo's Support IVR project transcribes exactly what a desk team hears, 18-minute calls and all.
Ask AI sits on every Speech screen too, and the alerts it would summarize (WER risk, budget crossings) are the ones priced on this page.
Query and execute actions in CEDX Speech using natural language grounded in row-level RBAC permissions.
"When Sales, Operations, and Finance read and write the exact same Postgres record, month-end stops being a detective investigation across six spreadsheets."
"Our operators actually enjoy opening the workspace. Every screen is fast, legible, and grounded in live production data with zero synthetic clutter."
"Having identity, least-privilege access, audit trails, and business applications on one kernel cut our security review and provisioning time by 82%."
Drag the seat slider to compare your current stitched stack (Glean Enterprise + Salesforce Einstein + Sierra AI + Custom RAG Stack) against running CEDX Speech natively on the unified CEDX estate.
Explore the live CEDX Speech workspace on canonical demo data at /app/speech, or book a 30-minute architecture session to map your first entity rollout.
Instant browser access to CEDX Speech pre-loaded with canonical demo records and connected across the 132-application CEDX estate.