@spaik/mcp-server-roi/dist/tools/quick-assessment.d.ts

MCP server for AI ROI prediction and tracking with Monte Carlo simulations

import { z } from 'zod';
import { IndustryUseCase } from '../services/industry-calculators.js';
export declare const NaturalLanguageInputSchema: z.ZodObject<{
    query: z.ZodString;
    context: z.ZodOptional<z.ZodObject<{
        industry: z.ZodOptional<z.ZodString>;
        companySize: z.ZodOptional<z.ZodString>;
        currentChallenges: z.ZodOptional<z.ZodArray<z.ZodString, "many">>;
    }, "strip", z.ZodTypeAny, {
        industry?: string | undefined;
        companySize?: string | undefined;
        currentChallenges?: string[] | undefined;
    }, {
        industry?: string | undefined;
        companySize?: string | undefined;
        currentChallenges?: string[] | undefined;
    }>>;
}, "strip", z.ZodTypeAny, {
    query: string;
    context?: {
        industry?: string | undefined;
        companySize?: string | undefined;
        currentChallenges?: string[] | undefined;
    } | undefined;
}, {
    query: string;
    context?: {
        industry?: string | undefined;
        companySize?: string | undefined;
        currentChallenges?: string[] | undefined;
    } | undefined;
}>;
export declare const QuickAssessmentSchema: z.ZodObject<{
    client_name: z.ZodString;
    project_type: z.ZodEnum<["customer_service_automation", "document_processing", "data_analytics", "process_automation", "predictive_maintenance", "fraud_detection", "inventory_optimization", "workforce_optimization", "quality_control", "compliance_automation", "custom"]>;
    quick_use_cases: z.ZodDefault<z.ZodArray<z.ZodObject<{
        name: z.ZodString;
        category: z.ZodEnum<["automation", "analytics", "customer_service", "operations", "sales_marketing", "hr_recruiting", "finance_accounting", "custom"]>;
        monthly_volume: z.ZodNumber;
        current_cost_per_unit: z.ZodNumber;
        current_time_minutes: z.ZodNumber;
        automation_potential: z.ZodEnum<["low", "medium", "high"]>;
        use_industry_benchmarks: z.ZodDefault<z.ZodBoolean>;
    }, "strip", z.ZodTypeAny, {
        name: string;
        category: "custom" | "automation" | "analytics" | "customer_service" | "operations" | "sales_marketing" | "hr_recruiting" | "finance_accounting";
        monthly_volume: number;
        current_cost_per_unit: number;
        current_time_minutes: number;
        automation_potential: "low" | "medium" | "high";
        use_industry_benchmarks: boolean;
    }, {
        name: string;
        category: "custom" | "automation" | "analytics" | "customer_service" | "operations" | "sales_marketing" | "hr_recruiting" | "finance_accounting";
        monthly_volume: number;
        current_cost_per_unit: number;
        current_time_minutes: number;
        automation_potential: "low" | "medium" | "high";
        use_industry_benchmarks?: boolean | undefined;
    }>, "many">>;
    industry: z.ZodOptional<z.ZodEnum<["financial_services", "healthcare", "retail", "manufacturing", "technology", "education", "government", "other"]>>;
    company_size: z.ZodOptional<z.ZodEnum<["small", "medium", "large", "enterprise"]>>;
    hourly_rate: z.ZodDefault<z.ZodNumber>;
    use_industry_benchmarks: z.ZodDefault<z.ZodBoolean>;
    natural_language_input: z.ZodOptional<z.ZodString>;
    enable_scenario_generation: z.ZodDefault<z.ZodBoolean>;
    enable_voice_mode: z.ZodDefault<z.ZodBoolean>;
    benchmark_config: z.ZodOptional<z.ZodObject<{
        sonar_api_key: z.ZodOptional<z.ZodString>;
        enable_real_time: z.ZodDefault<z.ZodBoolean>;
    }, "strip", z.ZodTypeAny, {
        enable_real_time: boolean;
        sonar_api_key?: string | undefined;
    }, {
        sonar_api_key?: string | undefined;
        enable_real_time?: boolean | undefined;
    }>>;
}, "strip", z.ZodTypeAny, {
    use_industry_benchmarks: boolean;
    client_name: string;
    project_type: "custom" | "customer_service_automation" | "fraud_detection" | "document_processing" | "predictive_maintenance" | "data_analytics" | "inventory_optimization" | "process_automation" | "workforce_optimization" | "quality_control" | "compliance_automation";
    quick_use_cases: {
        name: string;
        category: "custom" | "automation" | "analytics" | "customer_service" | "operations" | "sales_marketing" | "hr_recruiting" | "finance_accounting";
        monthly_volume: number;
        current_cost_per_unit: number;
        current_time_minutes: number;
        automation_potential: "low" | "medium" | "high";
        use_industry_benchmarks: boolean;
    }[];
    hourly_rate: number;
    enable_scenario_generation: boolean;
    enable_voice_mode: boolean;
    industry?: "financial_services" | "healthcare" | "retail" | "manufacturing" | "technology" | "education" | "government" | "other" | undefined;
    company_size?: "medium" | "small" | "large" | "enterprise" | undefined;
    benchmark_config?: {
        enable_real_time: boolean;
        sonar_api_key?: string | undefined;
    } | undefined;
    natural_language_input?: string | undefined;
}, {
    client_name: string;
    project_type: "custom" | "customer_service_automation" | "fraud_detection" | "document_processing" | "predictive_maintenance" | "data_analytics" | "inventory_optimization" | "process_automation" | "workforce_optimization" | "quality_control" | "compliance_automation";
    industry?: "financial_services" | "healthcare" | "retail" | "manufacturing" | "technology" | "education" | "government" | "other" | undefined;
    use_industry_benchmarks?: boolean | undefined;
    company_size?: "medium" | "small" | "large" | "enterprise" | undefined;
    benchmark_config?: {
        sonar_api_key?: string | undefined;
        enable_real_time?: boolean | undefined;
    } | undefined;
    quick_use_cases?: {
        name: string;
        category: "custom" | "automation" | "analytics" | "customer_service" | "operations" | "sales_marketing" | "hr_recruiting" | "finance_accounting";
        monthly_volume: number;
        current_cost_per_unit: number;
        current_time_minutes: number;
        automation_potential: "low" | "medium" | "high";
        use_industry_benchmarks?: boolean | undefined;
    }[] | undefined;
    hourly_rate?: number | undefined;
    natural_language_input?: string | undefined;
    enable_scenario_generation?: boolean | undefined;
    enable_voice_mode?: boolean | undefined;
}>;
export type QuickAssessmentInput = z.infer<typeof QuickAssessmentSchema>;
export interface AssessmentResult {
    summary: {
        totalMonthlyBenefit: number;
        estimatedROI: number;
        paybackPeriodMonths: number;
        confidenceScore: number;
        implementationComplexity: 'low' | 'medium' | 'high';
    };
    scenarios: {
        conservative: ScenarioResult;
        expected: ScenarioResult;
        optimistic: ScenarioResult;
    };
    recommendations: {
        immediate: string[];
        shortTerm: string[];
        longTerm: string[];
    };
    industryInsights: {
        benchmarkComparison: {
            metric: string;
            yourValue: number;
            industryAverage: number;
            percentile: number;
        }[];
        topOpportunities: string[];
        competitiveAdvantage: string;
    };
    generatedScenarios?: IndustryUseCase[];
    voiceOutput?: string;
}
interface ScenarioResult {
    monthlyBenefit: number;
    annualBenefit: number;
    roi: number;
    assumptions: string[];
}
/**
 * Quick assessment with industry-specific calculations
 */
export declare function quickAssessment(input: QuickAssessmentInput): Promise<AssessmentResult>;
export {};
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