AI integration that fits the systems you already run.

// Assistant inside your product, with fallbacksconst reply = await gateway.chat({  model: "primary",  fallback: ["secondary", "on-prem"],  messages: thread,  stream: true,  guardrails: ["pii", "toxicity"]});

// Answers grounded in your documentsconst hits = await search.query(question, {  sources: ["sharepoint", "confluence"],  user: session.user, // permission-aware  top: 8});const answer = await llm.answer(question, { context: hits, cite: true });

// Draft a reply inside the helpdeskon("ticket.created", async (ticket) => {  const draft = await ai.draft(ticket, { tone: "support" });  await helpdesk.addNote(ticket.id, draft, {    status: "awaiting-approval"  });});

// Score every event as it arrivesconsumer.subscribe("payments", async (event) => {  const score = await model.score(event);  if (score.risk === "high") {    await alerts.raise(event, score);  }});

# Route, cache and budget every model callroutes:  - match: "summaries"    model: small-fast    cache: 24h  - match: "*"    model: largebudgets:  limit: per-team-monthly

// Mask sensitive data before any model sees itconst safe = redact(input, ["name", "phone", "aadhaar", "email"]);if (!rbac.can(user, "ai:use", resource)) throw new Forbidden();const out = await gateway.chat({ messages: [safe] });audit.log({ user, resource, model: out.model });