diff --git a/ui/litellm-dashboard/src/components/UsagePage/components/UsageAIChatModal.test.tsx b/ui/litellm-dashboard/src/components/UsagePage/components/UsageAIChatModal.test.tsx
new file mode 100644
index 00000000000..fb0c0ef267d
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/UsagePage/components/UsageAIChatModal.test.tsx
@@ -0,0 +1,193 @@
+import { act, fireEvent, screen, waitFor } from "@testing-library/react";
+import { beforeAll, describe, expect, it, vi } from "vitest";
+import { renderWithProviders } from "../../../../tests/test-utils";
+import UsageAIChatModal from "./UsageAIChatModal";
+
+beforeAll(() => {
+  if (typeof window !== "undefined" && !window.ResizeObserver) {
+    window.ResizeObserver = class ResizeObserver {
+      observe() {}
+      unobserve() {}
+      disconnect() {}
+    } as any;
+  }
+});
+
+vi.mock("../../networking", () => ({
+  modelHubCall: vi.fn().mockResolvedValue({
+    data: [
+      { model_group: "gpt-4" },
+      { model_group: "claude-3-opus" },
+    ],
+  }),
+  getProxyBaseUrl: vi.fn().mockReturnValue("http://localhost:4000"),
+}));
+
+vi.mock("openai", () => {
+  return {
+    default: {
+      OpenAI: vi.fn().mockImplementation(() => ({
+        chat: {
+          completions: {
+            create: vi.fn(),
+          },
+        },
+      })),
+    },
+  };
+});
+
+const mockUserSpendData = {
+  results: [
+    {
+      date: "2025-01-01",
+      metrics: {
+        spend: 100.5,
+        api_requests: 1000,
+        successful_requests: 950,
+        failed_requests: 50,
+        total_tokens: 50000,
+        prompt_tokens: 30000,
+        completion_tokens: 20000,
+        cache_read_input_tokens: 0,
+        cache_creation_input_tokens: 0,
+      },
+      breakdown: {
+        models: {
+          "gpt-4": {
+            metrics: {
+              spend: 80.0,
+              api_requests: 800,
+              successful_requests: 780,
+              failed_requests: 20,
+              total_tokens: 40000,
+              prompt_tokens: 24000,
+              completion_tokens: 16000,
+              cache_read_input_tokens: 0,
+              cache_creation_input_tokens: 0,
+            },
+            metadata: {},
+            api_key_breakdown: {},
+          },
+        },
+        model_groups: {},
+        mcp_servers: {},
+        providers: {
+          openai: {
+            metrics: {
+              spend: 100.5,
+              api_requests: 1000,
+              successful_requests: 950,
+              failed_requests: 50,
+              total_tokens: 50000,
+              prompt_tokens: 30000,
+              completion_tokens: 20000,
+              cache_read_input_tokens: 0,
+              cache_creation_input_tokens: 0,
+            },
+            metadata: {},
+            api_key_breakdown: {},
+          },
+        },
+        api_keys: {
+          "sk-test": {
+            metrics: {
+              spend: 100.5,
+              api_requests: 1000,
+              successful_requests: 950,
+              failed_requests: 50,
+              total_tokens: 50000,
+              prompt_tokens: 30000,
+              completion_tokens: 20000,
+              cache_read_input_tokens: 0,
+              cache_creation_input_tokens: 0,
+            },
+            metadata: {
+              key_alias: "Test Key",
+              team_id: null,
+            },
+          },
+        },
+        entities: {},
+      },
+    },
+  ],
+  metadata: {
+    total_spend: 100.5,
+    total_api_requests: 1000,
+    total_successful_requests: 950,
+    total_failed_requests: 50,
+    total_tokens: 50000,
+  },
+};
+
+const defaultProps = {
+  visible: true,
+  onCancel: vi.fn(),
+  accessToken: "test-token",
+  userSpendData: mockUserSpendData,
+  dateRange: {
+    from: new Date("2025-01-01"),
+    to: new Date("2025-01-07"),
+  },
+};
+
+describe("UsageAIChatModal", () => {
+  it("should render the modal when visible", () => {
+    renderWithProviders(<UsageAIChatModal {...defaultProps} />);
+
+    expect(screen.getByText("Ask AI about Usage")).toBeInTheDocument();
+    expect(
+      screen.getByText("Ask questions about your spend, models, API keys, and usage trends")
+    ).toBeInTheDocument();
+  });
+
+  it("should render model selector", () => {
+    renderWithProviders(<UsageAIChatModal {...defaultProps} />);
+
+    expect(screen.getByText("Model")).toBeInTheDocument();
+  });
+
+  it("should render empty state message when no conversation", () => {
+    renderWithProviders(<UsageAIChatModal {...defaultProps} />);
+
+    expect(screen.getByText("Ask a question about your usage")).toBeInTheDocument();
+  });
+
+  it("should render the send button", () => {
+    renderWithProviders(<UsageAIChatModal {...defaultProps} />);
+
+    expect(screen.getByText("Send")).toBeInTheDocument();
+  });
+
+  it("should render input placeholder", () => {
+    renderWithProviders(<UsageAIChatModal {...defaultProps} />);
+
+    expect(screen.getByPlaceholderText("Ask about your usage...")).toBeInTheDocument();
+  });
+
+  it("should render clear conversation button", () => {
+    renderWithProviders(<UsageAIChatModal {...defaultProps} />);
+
+    expect(screen.getByText("Clear conversation")).toBeInTheDocument();
+  });
+
+  it("should not render when not visible", () => {
+    renderWithProviders(<UsageAIChatModal {...defaultProps} visible={false} />);
+
+    expect(screen.queryByText("Ask AI about Usage")).not.toBeInTheDocument();
+  });
+
+  it("should call onCancel when modal is closed", () => {
+    const onCancel = vi.fn();
+    renderWithProviders(<UsageAIChatModal {...defaultProps} onCancel={onCancel} />);
+
+    const closeButtons = document.querySelectorAll(".ant-modal-close");
+    if (closeButtons.length > 0) {
+      act(() => {
+        fireEvent.click(closeButtons[0]);
+      });
+      expect(onCancel).toHaveBeenCalled();
+    }
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/UsagePage/components/UsageAIChatModal.tsx b/ui/litellm-dashboard/src/components/UsagePage/components/UsageAIChatModal.tsx
new file mode 100644
index 00000000000..45d8ecb552c
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/UsagePage/components/UsageAIChatModal.tsx
@@ -0,0 +1,381 @@
+import React, { useEffect, useMemo, useRef, useState } from "react";
+import { Modal, Select, Input, Spin } from "antd";
+import { Button } from "@tremor/react";
+import { getProxyBaseUrl, modelHubCall } from "../../networking";
+import { DailyData } from "../types";
+import openai from "openai";
+
+const { TextArea } = Input;
+
+interface ChatMessage {
+  role: "user" | "assistant";
+  content: string;
+}
+
+interface UsageAIChatModalProps {
+  visible: boolean;
+  onCancel: () => void;
+  accessToken: string | null;
+  userSpendData: {
+    results: DailyData[];
+    metadata: any;
+  };
+  dateRange: {
+    from?: Date;
+    to?: Date;
+  };
+}
+
+function buildUsageSummary(
+  userSpendData: UsageAIChatModalProps["userSpendData"],
+  dateRange: UsageAIChatModalProps["dateRange"]
+): string {
+  const meta = userSpendData.metadata || {};
+  const results = userSpendData.results || [];
+
+  const fromStr = dateRange.from?.toLocaleDateString() ?? "N/A";
+  const toStr = dateRange.to?.toLocaleDateString() ?? "N/A";
+
+  const modelSpend: Record<string, { spend: number; requests: number; tokens: number }> = {};
+  const providerSpend: Record<string, { spend: number; requests: number }> = {};
+  const keySpend: Record<string, { spend: number; alias: string | null }> = {};
+
+  for (const day of results) {
+    for (const [model, metrics] of Object.entries(day.breakdown.models || {})) {
+      if (!modelSpend[model]) modelSpend[model] = { spend: 0, requests: 0, tokens: 0 };
+      modelSpend[model].spend += metrics.metrics.spend;
+      modelSpend[model].requests += metrics.metrics.api_requests;
+      modelSpend[model].tokens += metrics.metrics.total_tokens;
+    }
+    for (const [provider, metrics] of Object.entries(day.breakdown.providers || {})) {
+      if (!providerSpend[provider]) providerSpend[provider] = { spend: 0, requests: 0 };
+      providerSpend[provider].spend += metrics.metrics.spend;
+      providerSpend[provider].requests += metrics.metrics.api_requests;
+    }
+    for (const [key, metrics] of Object.entries(day.breakdown.api_keys || {})) {
+      if (!keySpend[key]) keySpend[key] = { spend: 0, alias: metrics.metadata.key_alias };
+      keySpend[key].spend += metrics.metrics.spend;
+    }
+  }
+
+  const topModels = Object.entries(modelSpend)
+    .sort((a, b) => b[1].spend - a[1].spend)
+    .slice(0, 10)
+    .map(([name, d]) => `  - ${name}: $${d.spend.toFixed(4)} (${d.requests} requests, ${d.tokens} tokens)`)
+    .join("\n");
+
+  const topProviders = Object.entries(providerSpend)
+    .sort((a, b) => b[1].spend - a[1].spend)
+    .slice(0, 10)
+    .map(([name, d]) => `  - ${name}: $${d.spend.toFixed(4)} (${d.requests} requests)`)
+    .join("\n");
+
+  const topKeys = Object.entries(keySpend)
+    .sort((a, b) => b[1].spend - a[1].spend)
+    .slice(0, 10)
+    .map(([key, d]) => `  - ${d.alias || key}: $${d.spend.toFixed(4)}`)
+    .join("\n");
+
+  const dailySummary = results
+    .sort((a, b) => new Date(a.date).getTime() - new Date(b.date).getTime())
+    .map((d) => `  - ${d.date}: $${d.metrics.spend.toFixed(4)} (${d.metrics.api_requests} requests)`)
+    .join("\n");
+
+  return `Date Range: ${fromStr} to ${toStr}
+Total Spend: $${(meta.total_spend || 0).toFixed(4)}
+Total Requests: ${meta.total_api_requests || 0}
+Successful Requests: ${meta.total_successful_requests || 0}
+Failed Requests: ${meta.total_failed_requests || 0}
+Total Tokens: ${meta.total_tokens || 0}
+
+Top Models by Spend:
+${topModels || "  (no data)"}
+
+Top Providers by Spend:
+${topProviders || "  (no data)"}
+
+Top API Keys by Spend:
+${topKeys || "  (no data)"}
+
+Daily Spend:
+${dailySummary || "  (no data)"}`;
+}
+
+const SYSTEM_PROMPT = `You are an AI assistant that helps users understand their LLM API usage data. You are embedded in the LiteLLM Usage dashboard.
+
+You have access to the user's current usage data which is provided below. Use it to answer questions about their spending, model usage, API key activity, provider costs, request volumes, and trends.
+
+Be concise and helpful. Use specific numbers from the data. When discussing costs, format them as dollar amounts. If the user asks about something not available in the data, let them know.`;
+
+const UsageAIChatModal: React.FC<UsageAIChatModalProps> = ({
+  visible,
+  onCancel,
+  accessToken,
+  userSpendData,
+  dateRange,
+}) => {
+  const [messages, setMessages] = useState<ChatMessage[]>([]);
+  const [inputText, setInputText] = useState("");
+  const [isLoading, setIsLoading] = useState(false);
+  const [selectedModel, setSelectedModel] = useState<string | undefined>(undefined);
+  const [availableModels, setAvailableModels] = useState<string[]>([]);
+  const [isLoadingModels, setIsLoadingModels] = useState(false);
+  const [streamingContent, setStreamingContent] = useState("");
+  const messagesEndRef = useRef<HTMLDivElement>(null);
+  const abortControllerRef = useRef<AbortController | null>(null);
+
+  useEffect(() => {
+    if (visible && availableModels.length === 0) {
+      loadModels();
+    }
+  }, [visible]);
+
+  useEffect(() => {
+    if (typeof messagesEndRef.current?.scrollIntoView === "function") {
+      messagesEndRef.current.scrollIntoView({ behavior: "smooth" });
+    }
+  }, [messages, streamingContent]);
+
+  const loadModels = async () => {
+    if (!accessToken) return;
+    setIsLoadingModels(true);
+    try {
+      const fetchedModels = await modelHubCall(accessToken);
+      if (fetchedModels?.data?.length > 0) {
+        const models = fetchedModels.data
+          .map((item: any) => item.model_group as string)
+          .sort();
+        setAvailableModels(models);
+      }
+    } catch (error) {
+      console.error("Failed to load models:", error);
+    } finally {
+      setIsLoadingModels(false);
+    }
+  };
+
+  const usageSummary = useMemo(
+    () => buildUsageSummary(userSpendData, dateRange),
+    [userSpendData, dateRange]
+  );
+
+  const handleSend = async () => {
+    if (!accessToken || !inputText.trim() || !selectedModel || isLoading) return;
+
+    const userMessage: ChatMessage = { role: "user", content: inputText.trim() };
+    const updatedMessages = [...messages, userMessage];
+    setMessages(updatedMessages);
+    setInputText("");
+    setIsLoading(true);
+    setStreamingContent("");
+
+    const abortController = new AbortController();
+    abortControllerRef.current = abortController;
+
+    try {
+      const proxyBaseUrl = getProxyBaseUrl();
+      const client = new openai.OpenAI({
+        apiKey: accessToken,
+        baseURL: proxyBaseUrl,
+        dangerouslyAllowBrowser: true,
+      });
+
+      const chatHistory = [
+        {
+          role: "system" as const,
+          content: `${SYSTEM_PROMPT}\n\nCurrent Usage Data:\n${usageSummary}`,
+        },
+        ...updatedMessages.map((m) => ({
+          role: m.role as "user" | "assistant",
+          content: m.content,
+        })),
+      ];
+
+      const response = await client.chat.completions.create(
+        {
+          model: selectedModel,
+          stream: true,
+          messages: chatHistory,
+        },
+        { signal: abortController.signal }
+      );
+
+      let fullContent = "";
+      for await (const chunk of response) {
+        if (chunk.choices[0]?.delta?.content) {
+          fullContent += chunk.choices[0].delta.content;
+          setStreamingContent(fullContent);
+        }
+      }
+
+      setMessages((prev) => [...prev, { role: "assistant", content: fullContent }]);
+      setStreamingContent("");
+    } catch (error: any) {
+      if (error?.name === "AbortError" || abortController.signal.aborted) {
+        return;
+      }
+      const errorMsg = error?.message || "Failed to get response. Please try again.";
+      setMessages((prev) => [
+        ...prev,
+        { role: "assistant", content: `Error: ${errorMsg}` },
+      ]);
+      setStreamingContent("");
+    } finally {
+      setIsLoading(false);
+      abortControllerRef.current = null;
+    }
+  };
+
+  const handleKeyDown = (e: React.KeyboardEvent<HTMLTextAreaElement>) => {
+    if (e.key === "Enter" && !e.shiftKey) {
+      e.preventDefault();
+      handleSend();
+    }
+  };
+
+  const handleCancel = () => {
+    if (abortControllerRef.current) {
+      abortControllerRef.current.abort();
+    }
+    onCancel();
+  };
+
+  const handleClear = () => {
+    setMessages([]);
+    setStreamingContent("");
+  };
+
+  return (
+    <Modal
+      title={null}
+      open={visible}
+      onCancel={handleCancel}
+      width={720}
+      footer={null}
+      styles={{ body: { padding: 0 } }}
+    >
+      {/* Header */}
+      <div className="px-6 pt-6 pb-3">
+        <div className="flex items-center gap-2 mb-1">
+          <svg className="w-5 h-5 text-blue-600" viewBox="0 0 16 16" fill="currentColor">
+            <path d="M8 1l1.5 3.5L13 6l-3.5 1.5L8 11 6.5 7.5 3 6l3.5-1.5L8 1zm4 7l.75 1.75L14.5 10.5l-1.75.75L12 13l-.75-1.75L9.5 10.5l1.75-.75L12 8zM4 9l.75 1.75L6.5 11.5l-1.75.75L4 14l-.75-1.75L1.5 11.5l1.75-.75L4 9z" />
+          </svg>
+          <h3 className="text-lg font-semibold text-gray-900">Ask AI about Usage</h3>
+        </div>
+        <p className="text-sm text-gray-500">
+          Ask questions about your spend, models, API keys, and usage trends
+        </p>
+      </div>
+
+      <div className="border-t border-gray-100" />
+
+      <div className="px-6 py-4 space-y-4">
+        {/* Model selector */}
+        <div>
+          <label className="block text-sm font-medium text-gray-700 mb-1">
+            Model
+            <span className="text-red-500 ml-0.5">*</span>
+          </label>
+          <Select
+            placeholder="Select a model"
+            value={selectedModel}
+            onChange={(value) => setSelectedModel(value)}
+            loading={isLoadingModels}
+            showSearch
+            className="w-full"
+            options={availableModels.map((m) => ({ label: m, value: m }))}
+            filterOption={(input, option) =>
+              (option?.label ?? "").toLowerCase().includes(input.toLowerCase())
+            }
+          />
+        </div>
+
+        {/* Chat messages */}
+        <div className="border border-gray-200 rounded-lg bg-gray-50 h-80 overflow-y-auto p-4 space-y-3">
+          {messages.length === 0 && !streamingContent && (
+            <div className="flex flex-col items-center justify-center h-full text-gray-400">
+              <svg className="w-10 h-10 mb-2" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+                <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={1.5} d="M8 10h.01M12 10h.01M16 10h.01M9 16H5a2 2 0 01-2-2V6a2 2 0 012-2h14a2 2 0 012 2v8a2 2 0 01-2 2h-5l-5 5v-5z" />
+              </svg>
+              <p className="text-sm font-medium">Ask a question about your usage</p>
+              <p className="text-xs mt-1">e.g. &quot;Which model costs me the most?&quot;</p>
+            </div>
+          )}
+
+          {messages.map((msg, idx) => (
+            <div
+              key={idx}
+              className={`flex ${msg.role === "user" ? "justify-end" : "justify-start"}`}
+            >
+              <div
+                className={`max-w-[85%] rounded-xl px-4 py-2.5 text-sm leading-relaxed ${
+                  msg.role === "user"
+                    ? "bg-blue-600 text-white"
+                    : "bg-white border border-gray-200 text-gray-800"
+                }`}
+              >
+                <div className="whitespace-pre-wrap break-words">{msg.content}</div>
+              </div>
+            </div>
+          ))}
+
+          {/* Streaming response */}
+          {streamingContent && (
+            <div className="flex justify-start">
+              <div className="max-w-[85%] rounded-xl px-4 py-2.5 text-sm leading-relaxed bg-white border border-gray-200 text-gray-800">
+                <div className="whitespace-pre-wrap break-words">{streamingContent}</div>
+              </div>
+            </div>
+          )}
+
+          {/* Loading indicator */}
+          {isLoading && !streamingContent && (
+            <div className="flex justify-start">
+              <div className="rounded-xl px-4 py-2.5 bg-white border border-gray-200">
+                <Spin size="small" />
+              </div>
+            </div>
+          )}
+
+          <div ref={messagesEndRef} />
+        </div>
+
+        {/* Input area */}
+        <div className="flex gap-2">
+          <TextArea
+            value={inputText}
+            onChange={(e) => setInputText(e.target.value)}
+            onKeyDown={handleKeyDown}
+            placeholder="Ask about your usage..."
+            autoSize={{ minRows: 1, maxRows: 3 }}
+            className="flex-1"
+            disabled={isLoading}
+          />
+          <Button
+            onClick={handleSend}
+            disabled={!inputText.trim() || !selectedModel || isLoading}
+            loading={isLoading}
+          >
+            Send
+          </Button>
+        </div>
+
+        {/* Footer actions */}
+        <div className="flex justify-between items-center pt-1">
+          <button
+            onClick={handleClear}
+            className="text-xs text-gray-400 hover:text-gray-600 transition-colors"
+            disabled={messages.length === 0}
+          >
+            Clear conversation
+          </button>
+          <span className="text-xs text-gray-400">
+            Press Enter to send, Shift+Enter for new line
+          </span>
+        </div>
+      </div>
+    </Modal>
+  );
+};
+
+export default UsageAIChatModal;
diff --git a/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.test.tsx b/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.test.tsx
index f718171d07a..3b4ab06f67a 100644
--- a/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.test.tsx
+++ b/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.test.tsx
@@ -100,6 +100,10 @@ vi.mock("../../EntityUsageExport", () => ({
   default: () => <div>Entity Usage Export Modal</div>,
 }));
 
+vi.mock("./UsageAIChatModal", () => ({
+  default: () => <div data-testid="usage-ai-chat-modal">Usage AI Chat Modal</div>,
+}));
+
 vi.mock("@/app/(dashboard)/hooks/customers/useCustomers", () => ({
   useCustomers: vi.fn(),
 }));
@@ -990,6 +994,28 @@ describe("UsagePage", () => {
     });
   });
 
+  describe("Ask AI button", () => {
+    it("should render Ask AI button in global view", async () => {
+      renderWithProviders(<UsagePage {...defaultProps} />);
+
+      await waitFor(() => {
+        expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled();
+      });
+
+      expect(screen.getByText("Ask AI")).toBeInTheDocument();
+    });
+
+    it("should render AI chat modal component", async () => {
+      renderWithProviders(<UsagePage {...defaultProps} />);
+
+      await waitFor(() => {
+        expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled();
+      });
+
+      expect(screen.getByTestId("usage-ai-chat-modal")).toBeInTheDocument();
+    });
+  });
+
   describe("model view toggle", () => {
     it("should show Public Model Name view by default", async () => {
       renderWithProviders(<UsagePage {...defaultProps} />);
diff --git a/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.tsx b/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.tsx
index 3e5f0a2014d..c9f8154ec5b 100644
--- a/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.tsx
+++ b/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.tsx
@@ -50,6 +50,7 @@ import EntityUsage, { EntityList } from "./EntityUsage/EntityUsage";
 import SpendByProvider from "./EntityUsage/SpendByProvider";
 import TopKeyView from "./EntityUsage/TopKeyView";
 import { UsageOption, UsageViewSelect } from "./UsageViewSelect/UsageViewSelect";
+import UsageAIChatModal from "./UsageAIChatModal";
 
 interface UsagePageProps {
   teams: Team[];
@@ -142,6 +143,7 @@ const UsagePage: React.FC<UsagePageProps> = ({ teams, organizations }) => {
   const [modelViewType, setModelViewType] = useState<"groups" | "individual">("groups");
   const [isCloudZeroModalOpen, setIsCloudZeroModalOpen] = useState(false);
   const [isGlobalExportModalOpen, setIsGlobalExportModalOpen] = useState(false);
+  const [isAiChatOpen, setIsAiChatOpen] = useState(false);
   const [usageView, setUsageView] = useState<UsageOption>("global");
   const [showCredentialBanner, setShowCredentialBanner] = useState(true);
   const [topKeysLimit, setTopKeysLimit] = useState<number>(5);
@@ -505,21 +507,33 @@ const UsagePage: React.FC<UsagePageProps> = ({ teams, organizations }) => {
                   <Tab>MCP Server Activity</Tab>
                   <Tab>Endpoint Activity</Tab>
                 </TabList>
-                <Button
-                  onClick={() => setIsGlobalExportModalOpen(true)}
-                  icon={() => (
-                    <svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
-                      <path
-                        strokeLinecap="round"
-                        strokeLinejoin="round"
-                        strokeWidth={2}
-                        d="M4 16v1a3 3 0 003 3h10a3 3 0 003-3v-1m-4-4l-4 4m0 0l-4-4m4 4V4"
-                      />
-                    </svg>
-                  )}
-                >
-                  Export Data
-                </Button>
+                <div className="flex items-center gap-2">
+                  <Button
+                    onClick={() => setIsAiChatOpen(true)}
+                    icon={() => (
+                      <svg className="w-4 h-4" viewBox="0 0 16 16" fill="currentColor">
+                        <path d="M8 1l1.5 3.5L13 6l-3.5 1.5L8 11 6.5 7.5 3 6l3.5-1.5L8 1zm4 7l.75 1.75L14.5 10.5l-1.75.75L12 13l-.75-1.75L9.5 10.5l1.75-.75L12 8zM4 9l.75 1.75L6.5 11.5l-1.75.75L4 14l-.75-1.75L1.5 11.5l1.75-.75L4 9z" />
+                      </svg>
+                    )}
+                  >
+                    Ask AI
+                  </Button>
+                  <Button
+                    onClick={() => setIsGlobalExportModalOpen(true)}
+                    icon={() => (
+                      <svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+                        <path
+                          strokeLinecap="round"
+                          strokeLinejoin="round"
+                          strokeWidth={2}
+                          d="M4 16v1a3 3 0 003 3h10a3 3 0 003-3v-1m-4-4l-4 4m0 0l-4-4m4 4V4"
+                        />
+                      </svg>
+                    )}
+                  >
+                    Export Data
+                  </Button>
+                </div>
               </div>
               <TabPanels>
                 {/* Cost Panel */}
@@ -925,6 +939,15 @@ const UsagePage: React.FC<UsagePageProps> = ({ teams, organizations }) => {
         selectedFilters={[]}
         customTitle="Export Usage Data"
       />
+
+      {/* AI Chat Modal */}
+      <UsageAIChatModal
+        visible={isAiChatOpen}
+        onCancel={() => setIsAiChatOpen(false)}
+        accessToken={accessToken}
+        userSpendData={userSpendData}
+        dateRange={dateValue}
+      />
     </div>
   );
 };