Consultancy Productizes an Audit With AI Agents
A 4-person data consultancy turned its manual audit into a €2k self-serve product.
/ quick answer
Their diagnostic audit took 20 hours per client and gated every engagement. Couldn't scale sales without more analysts. A 4-person data consultancy turned its manual audit into a €2k self-serve product.
What is the Consultancy Productizes an Audit With AI Agents use case?
Their diagnostic audit took 20 hours per client and gated every engagement. Couldn't scale sales without more analysts.
What was the outcome?
Audit is now 90% automated, delivered in 48h at €2k. 60% of buyers upsell into full engagements; consultancy revenue up 3.2x without new hires.
Which tools were used?
ai-automation-operator-stack, ai-research-stack.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Tool Calling
The model-to-system interface that lets an LLM trigger external actions.
- →Agent Memory
Persistent context that lets agents retain preferences, decisions, and prior work.
- →MCP (Model Context Protocol)
Open protocol that lets LLMs connect to tools, data sources and apps through a standard interface.
- →Agentic RAG
RAG where an agent decides what to retrieve, when, and from which source — instead of a single static query.
Related workflows
Turn this into a repeatable process.
- →AI Market Research Report in One Afternoon
From blank page to sourced, structured 20-page market report in ~4 hours.
- →Continuous AI Competitor Monitoring
Track competitors' pricing, features, content and hiring in near-real-time with an AI digest.
- →Automate Repetitive Ops Work With a Computer-Use Agent
Replace 5 hours/week of tab-switching with a supervised computer-use agent.
- →Build an MCP Server for Your Internal Data
Expose one internal data source to every AI client via the Model Context Protocol.
Related tool stacks
The tools that run it in production.
- →AI Automation Operator Stack
The default toolset for one operator running multiple AI-powered business workflows.
- →AI Research & Knowledge Stack
Default toolset for analysts, founders and creators doing deep research with AI.
Related prompts
Reusable prompts for this job.
- →MCP Tool Designer Prompt
Turn a plain-English capability list into a clean MCP tool schema.
- →AI Workflow Audit Prompt
Identify weak points, missing controls, and automation risks in a workflow.
Related use cases
How people apply it, and what came out.
- →Consultancy Ships a Client-Wide MCP Server in 2 Weeks
A boutique AI consultancy replaces 6 bespoke Zapier flows with one MCP server.
- →Consultancy Automates Weekly Market Scans
A sourced competitor and market diff replaced a manual research day.
Comparisons & alternatives
Pick between the options.
- →OpenAI vs Anthropic for Agents
Which provider builds better production agents in 2026.
- →CrewAI vs AutoGen vs LangGraph
Three approaches to multi-agent orchestration.
- →Claude Code vs Cursor: Which Coding Agent to Use
Terminal-native agent vs IDE-native pair programmer — different jobs, both worth using.