ConsultKit
ConsultKit is an operating system for AI consultancy that automates the entire frontend of B2B AI sales. It deploys a team of 18 specialist AI agents to handle lead qualification, company research, industry analysis, discovery preparation, questionnaire generation, response analysis, financial modeling, report writing, visual design, and proposal creation. The platform includes branded assessment funnels that capture qualified leads from any industry vertical, converting at 40–60%. Each funnel completion provides a lead with budget, pain points, and an AI readiness score. The agents work together to collapse discovery from weeks to hours. They prepare stakeholder maps, pain hypotheses, SPICED questions, and deep audit questionnaires. After analyzing responses, they produce comprehensive audit reports with root-cause analysis, ROI calculations, payback periods, and tiered engagement packages. The output follows a 9-section SCR narrative and includes radar charts, process maps, and flowcharts. ConsultKit is designed for solo consultants to operate as if they had a team of ten. It enables a single operator to handle multiple clients, maintain a consistent pipeline, and deliver professional deliverables under their own brand. The platform aims to solve the scalability problem in AI consultancy by streamlining the sales and delivery process, making it possible to close more deals without sacrificing quality or depth.
- Category
- AI/ML
- Pricing
- Paid
Problem solved
ConsultKit solves the scalability challenge of selling B2B AI consultancy by automating the labor-intensive discovery, qualification, and proposal creation processes. It enables consultants to generate leads, brief themselves for calls, and produce paid audit reports without spending weeks on manual research and writing.
Use cases
- Automated lead generation through branded AI readiness assessment funnels
- Generating industry-agnostic audit reports with ROI and payback analysis
- Conducting comprehensive company and stakeholder research before client calls
- Preparing SPICED question sets and pain hypotheses for discovery meetings
- Creating tiered engagement packages with value-based pricing recommendations
- Building 12-month implementation roadmaps phased by impact and dependencies
Audience
- Business Users
- ML Engineers
- Data Scientists
- Startups
- Enterprise
Pros
- Automates end-to-end frontend consultancy workflow
- Supports any industry vertical without niching down
- Dramatically reduces discovery and proposal turnaround time
- Generates professional, branded deliverables with financial modeling
- Scales solo consultant output to match boutique firms
Cons
- Limited early access: only available to the first 50 customers
- No public pricing details beyond a free trial
- AI-generated outputs may require human review for accuracy
- Dependency on the platform for core sales processes
Official website: https://consultkit.ai/
Canonical LambdaBase page: https://www.lambdabase.com/tools/consultkit