A partner-led executive-search boutique with 20K+ C-level relationships across EU and Asia. The managing partner was the bottleneck on every outbound cycle. We audited his outreach judgement, encoded it into a custom agent, and shipped it into his Telegram in week two. Today he runs Audit + Build + Operate. Transmit is the stated endpoint once adoption stabilises.
Live offer · MAIDA for boutique consulting firmsAudit → build → manage → improve
AI agent agency for boutique consulting firms
We audit, build, and manage AI agents for high-context service businesses.
Start with the workflow where AI can create visible leverage: business development, executive operations, firm memory, market intelligence, or finance follow-through.
№ 01From the Dispatch04 / 2026
- AI Productivity
How to Build an AI Agent That Gets Smarter Without Retraining
How to build an AI agent that improves itself from user corrections — no model retraining needed. Real production system: two Python scripts, emergent learning behavior.
- AI Productivity
Managed AI Agent Services: What They Include & Who Needs Them
A managed AI agent service means someone else builds, runs, and maintains your AI agent on retainer. Here's what that model looks like, what's included, and who should buy it.
- AI Productivity
AI Automation Agency vs In-House AI Team: Cost, Speed & Risk Compared (2026)
A data-driven comparison of hiring an in-house AI team vs engaging an AI automation agency. Real salary numbers, agency retainer costs, timelines, and a decision framework for companies with 10-500 employees.
№ 02EvidenceLive deployments
№ 03By the numbers
28
Published articles
1
Production case studies
3
On-the-record testimonials
№ 03Who this is for
Boutique firms where the best opportunities still depend on human judgment.
Boutique consulting, advisory, and expert-service firms where business development, delivery, relationships, and operations are high-context. The work cannot be reduced to a SaaS workflow without losing quality.
Teams that want their own managed agent, not a generic chatbot. The agent learns from their approvals, rejected drafts, corrections, and outcomes.
Firms that prefer one visible operating loop over another strategy deck. We start with an audit, ship the first agent, and improve it from real business activity.
Start with the workflow where AI can create visible leverage.
Send the bottleneck. We reply with the right audit angle: Bob for business development, EVA for operations, INO for firm memory, So-Fi for intelligence, or Mo-Ni for finance follow-through.