[ AI Systems Studio · Taking on new projects ]

We build AI systems that scale teams to 4× capacity.

For founders and operators adapting to AI: we architect end-to-end agentic workflows that eliminate manual work across hiring, sales, customer success, and operations — and ship them to production.

Scoped · built · deployed · documented Start a project →
Proof, not promises

Numbers from systems shipped to production, running for real businesses today.

90%
Reduction in recruiter workload — single operator managing 900+ applicants/month for one role.
Hiring · Agentic resume pipeline
45→75%
Sales conversion lift after deploying AI-powered booking and engagement system across a 6-person team.
Sales · Multi-channel orchestration
4×
Per-person capacity — team members handling 4× more accounts each with hyper-personalized AI guidance.
Customer success · MCP-powered
5h → 2m
Response SLA dropped from 5 hours to under 2 minutes on inbound customer queries — with quality validation built in.
Support · Agentic responder
What we build for you

End-to-end systems, not just prompts.

01
Agentic Hiring & Recruitment
Automated resume sourcing, evaluation, ranking, personalized outreach, case-study assessment, and interview scheduling — entire lifecycle, one operator.
02
Sales Automation & Voice AI
Lead capture, intelligent assignment, multi-channel notifications, AI voice calls within 60 seconds of form submit, and post-call summarization with full handoff context.
03
Customer Success Systems
Real-time analytics, behavioral cohort classification, MCP servers querying internal databases, and event-driven engagement campaigns that feel personal at scale.
04
Marketing & Content Pipelines
Automated content generation, forum engagement, competitive monitoring, and AI-powered article workflows — activate channels you didn't have bandwidth for.
05
AI Governance & Guardrails
Cost monitoring, model migration protocols, prompt evaluation frameworks, fallback resilience via OpenRouter, and PII anonymization across pipelines.
The stack

Battle-tested across production systems.

Anthropic Claude OpenAI Gemini MCP Servers OpenRouter Vapi.ai Twilio ElevenLabs Customer.io Intercom Segment Calendly n8n Make.com Lovable Relevance AI Python Selenium MySQL AWS / GCP VPS + Cron WhatsApp Business API
Who this is for

Founders building AI-native operations from day one. Established teams trying to AI-adapt without breaking what works. Ops leaders who want to scale output without scaling headcount. Whatever your industry — if your team runs on workflows, AI can take most of them over.

Engagement
Project-based. Scope, timeline, and outcomes agreed before kickoff — no open-ended retainers.
What you get
A production system, deployed and running. Documentation, handover, and a team that owns it after we step back.
Industries
Industry-agnostic. If the workflow is structured, it can be automated.
Working style
Architect, build, ship. Measured by outcomes, not hours.
Get in touch

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