Xect agents arrive pre-loaded with your industry's schema, terminology and regulatory rules.
You type what you need. The Knowledge Graph handles the rest.
"Build an agent that handles all attachments"
Schema, terminology, regulatory limits and vendor context inject automatically, with no manual setup.
Domain-aware and pre-loaded with schema, guardrails and industry logic, ready to deploy today.
Industry-native agents cut the cost per use case 70–90%.
Each vertical ships with a pre-defined schema layer. Data models, terminology, and regulatory definitions already encoded before your first agent runs.
Network event taxonomy, service order lifecycle and NOC escalation paths, encoded in.
HIPAA-aware types, HL7/FHIR terms and prior-auth rules, built in natively.
FNOL schema, policy data models and state compliance flags, zero ramp-up needed.
Reservation lifecycle, housekeeping workflows and guest loyalty attributes, mapped.
Sample lifecycle, LIMS structures and GxP rules, encoded and audit-ready.
Xect's team encodes your operations into a graph built for you alone.
Talk to usEvery graph was built by practitioners — not scraped from training data. Decades of field experience, encoded as structured schemas and ontologies agents reason with directly.
When you ask Xect to build an agent, it isn't guessing. It already knows.
Agents handle the routine. People decide the exceptions. The workflow pauses at uncertainty and resumes the moment they act.
AI automates most operational work. Every organization has exceptions. When an agent hits ambiguity, a policy conflict, missing information or a high-impact call, it routes the work to an operator. Nothing risky runs on autopilot.
The handoff is built in. No disconnected ticketing systems. No starting over.
The agent stops at the exact point of uncertainty. Nothing executes without a human.
Full event history, the agent's reasoning and the recommended next step. All in one view.
Review, approve, modify or escalate. Everything they need to decide, in one place.
Automation resumes from exactly where it paused. The decision is captured and learned from.
Every event Xect AI detects can reach a person or a system through the channel that fits it. Same agent, same policy, any connector.
Register a connector once — Twilio for SMS and WhatsApp, SMTP or SendGrid for email, a webhook for anything else. The Notification Router Agent picks the channel from the policy attached to the event, not from a hardcoded rule per flow.
Twilio-backed delivery for time-critical alerts. Two-way replies route straight back into the flow that sent them.
Transactional email through SMTP or SendGrid, plus mobile push for app-based teams. Templates stay versioned per flow.
Post directly into the channel your team already watches, or hand off to any system over a signed webhook.
The channel is a policy decision, not a hardcoded integration. Change the routing rule, not the flow.
An agent flags a condition — an outage, a billing correction, an SLA breach — and attaches the notification policy for it.
The Notification Router Agent reads the policy and the recipient's preference, then selects SMS, email, push or chat.
Each connector reports delivery status back. A bounce or timeout triggers the fallback channel automatically.
A reply to an SMS or a click in an email resumes the flow that sent it, with the response attached.
Define an event once, auto-map it to an Avro schema, and stream it over Kafka. Every stream becomes a live AI EPM dashboard, no SQL required.
Paste a sample payload and Xect AI proposes the schema you register and control. Producers and consumers stay decoupled — evolve a schema without breaking the flows downstream of it.
Drop in a JSON sample and Xect AI maps it to an Avro schema — register your own or refine the suggestion.
Schema Registry tracks every version so producers and consumers evolve independently, without breakage.
Events stream over Kafka with per-org topic isolation — one tenant never sees another’s data.
Define an event, map it to a use case, and the platform stands up the entire data pipeline for you. No manual configuration.
Register any business event by dropping in a single sample JSON payload.
Pick a pre-defined use case so your data arrives structured and analytics-ready.
Visually map each field to the chosen use case, so every value lands correctly.
One click provisions a dedicated Kafka topic and a live EPM analytics table.
Every registered event provisions its own analytics table. XECT AI EPM turns that live stream into validated dashboards — real-time over Socket.io, no SQL, no ETL. Drill from high-level groups down to individual activities, and compare “This Month” against any range to catch a shift the moment it happens.
Purpose-built for operations, product and business teams who need to act on data. No waiting on data engineering.
Unify event data from across every system into one single accessible analytics layer, built once.
Go from a raw event to a rich, working dashboard in minutes, not weeks or months of backlog.
No custom pipelines, ETL code or database wrangling. The platform provisions and runs all of it.
Rich analytics land in the hands of the people who need them, with no technical skills required.
Trends, anomalies and opportunities get flagged early, so teams act before issues escalate.
Reconstructs the real process flow from the Avro-typed event stream already moving through the platform. No workshops, no manual mapping.
Every registered event carries a case ID, an activity and a timestamp. The Process Miner replays that trail across every case and reconstructs the process graph as it actually ran, with every path, loop and rework it finds. Deviations from the intended flow show up as a variant, not a guess.
Every case ID and activity in the event stream becomes a node on the graph. No manual process mapping.
Ranks every step by wait time and rework frequency, so the slowest handoff is never buried in a report.
Compares every real path against the intended one and shows which cases deviated, and by how much.
The same events already flowing through the platform. No separate logging, no export to a mining tool.
Every registered event is tagged with the case, activity and timestamp it belongs to, as it's ingested.
Every case's activity sequence is reconstructed and merged into a single process graph.
Loops, delays and off-path cases are ranked by how often they occur and how much time they cost.
New events redraw the graph automatically, so the map reflects this week, not last quarter's audit.
Book a 30-minute demo and see the Knowledge Graph, Human in the Loop, Business Operators Hub and the rest of Xect AI working together in your environment.