10+ Agents Running in Production

Your operations,
running on AI agents
by next month.

Done-for-you multi-agent systems for Series A–C SaaS companies. I build, deploy, and manage the AI team that handles your workflows 24/7 — with human approval at every critical step.

Book a 30-Minute Strategy Call →
10+
Agents in production
13
Pipeline stages
24/7
Autonomous ops
~$0
API costs/month
Hari Prakash
Hari Prakash
Founder & AI Systems Architect
12yr
Enterprise exp.
10+
Production agents
145MB
System footprint
US LLC
PinusX AI
Is This For You?
Built for SaaS teams drowning in
operational busywork
If any of these sound familiar, we should talk.
🏢

Series A–C SaaS (20–200 people)

You've raised funding, you're growing fast, but your ops team can't scale as fast as your product. You're toggling between 15+ tools just to keep things running.

⏳

15+ hours/week on repetitive workflows

Content production, support triage, internal reporting, onboarding sequences — your team is stuck in production labor instead of strategy and judgment calls.

🚫

"We tried Zapier/Make but hit the ceiling"

Simple automations aren't enough. You need agents that can reason, coordinate across steps, handle edge cases, and route decisions to humans when it matters.

See It Running
This isn't theoretical.
Watch it work.
Kerno — my 10-agent AI command center — runs all operations for my own SaaS product in production, right now.
Kerno AI Command Center — 10+ agents running in production
Live system — Kerno AI Command Center
🤖

10+ Agents

Content, security, code review, SEO, monitoring, publishing — each handled by a specialized agent

✓

Human Approval Gates

Nothing critical happens without your sign-off. Approve via Telegram or Slack from your phone.

📊

Real-Time Dashboard

Monitor every agent, every pipeline stage, every decision — live. Full visibility, zero black boxes.

See How This Works For Your Ops →
The Process
From audit to autonomous
operations in 6 weeks
A structured process that de-risks the engagement. You see results before you commit to ongoing operations.

Operations Audit

I map your workflows end-to-end, identify where agents replace repetitive labor, and deliver an architecture plan with hard ROI projections. Yours to keep regardless.

1–2 weeks Blueprint + ROI model

Agent Deployment

Custom agent team for your highest-pain workflow. Pipeline state machine with approval gates, monitoring dashboard, Telegram/Slack command interface. Tested in production.

4–6 weeks Production system live

Managed Operations

I monitor health, tune performance, handle edge cases, and expand to new workflows. Your AI operations team — without the headcount, turnover, or ramp-up time.

Ongoing Monitoring + expansion
Why Not DIY?
How the alternatives actually compare
The real cost of building it yourself, hiring an agency, or working with me.
Build It Yourself Big AI Agency Work With Me
Timeline 3–6 months 3–4 months 4–6 weeks
True cost $80K–$150K (eng. time) $50K–$100K+ $7.5K–$12K
What you get Maybe a prototype Slide deck + junior devs Production system, live
Who builds it Your engineers (distracted) Account manager + juniors The architect, directly
Ongoing support You maintain it $8K–$15K/mo retainer $3.5K–$5K/mo managed
Human approval gates Build it yourself Maybe, extra cost Built-in, every system
You own the code Yes Depends on contract 100% — zero lock-in
Pricing
Start with an audit.
Scale when you see results.
No long-term commitment upfront. The audit pays for itself in clarity alone — and it's yours to keep whether or not we continue.
Operations Audit
$2,000
one-time · 1–2 weeks
Complete workflow mapping, agent architecture design, and ROI projections for your most painful operational bottleneck.
  • Full workflow analysis
  • Agent architecture blueprint
  • ROI model with specific metrics
  • Implementation roadmap
  • Yours to keep — no strings attached
Start With a Free Call →
Agent Deployment
$7,500 – $12K
project · 4–6 weeks
Custom multi-agent system for your #1 workflow — built, tested, and deployed in production with full monitoring.
  • Custom agent team for one workflow
  • Pipeline with human approval gates
  • Real-time monitoring dashboard
  • Telegram/Slack command interface
  • Documentation + team training
Discuss Your Project →
Managed Operations
$3,500 – $5K
per month · ongoing
I run your AI operations so your team focuses on strategy. Monitoring, tuning, expansion, and edge case handling — all covered.
  • 24/7 system monitoring
  • Performance optimization
  • New workflow expansion
  • Edge case handling
  • Monthly performance review
Discuss Your Project →
Hari Prakash

Hari Prakash

Founder & AI Systems Architect · PinusX AI, LLC

12 years of enterprise engineering at NEC, Siemens, and Bosch. Then I built a 10-agent AI system that runs my own SaaS company autonomously — content, security audits, code review, SEO, and daily operations — all coordinated through a 13-stage pipeline I control from my phone.

Now I build the same systems for other SaaS companies. You work directly with me — the person who designed, built, and operates the architecture. No account managers, no junior developers learning on your project.

Why a solo architect, not an agency? Every production agent in my own system was built by me. I've debugged edge cases at 2 AM, optimized pipeline stages for 6 months, and understand how multi-agent systems fail in production. That operational depth is what you're paying for.
LinkedIn → See Published Output →
Common Questions
Before you book the call
Can't my engineering team build this internally? +
They can, but the real question is whether they should. Internal builds consistently take 3–6 months and pull engineers off your core product. The 5-year total cost of ownership for DIY is typically 2× higher than hiring a specialist. My system goes from audit to production in 6 weeks, and your engineers stay focused on what drives revenue.
What happens if the agents make mistakes? +
Every system I build includes human approval gates at critical decision points. Nothing customer-facing, nothing financial, nothing irreversible happens without your team's sign-off. Agents handle production labor — research, drafting, routing, monitoring. Humans handle judgment calls. The monitoring dashboard shows every agent action in real-time so nothing is a black box.
You're one person. What if you disappear? +
You own 100% of everything I build — code, documentation, architecture diagrams. The entire system runs on standard tools (TypeScript, Supabase, open-source libraries) with no proprietary dependencies. Every contract includes a transition clause. If we part ways, any competent engineer can maintain and extend the system using the documentation I provide.
How do you measure ROI? +
During the audit, we establish baseline metrics: hours spent per workflow, error rates, throughput, and cost per unit of output. After deployment, we measure the same metrics. Typical results: 60–80% reduction in production labor hours, 3–4× output increase for content workflows, and 40–60% cost reduction for support operations. You see the numbers in the monthly performance review.
Why not use an existing platform like Zapier, Make, or CrewAI? +
Platforms sell tools, not outcomes. Zapier and Make handle simple A→B automations but can't orchestrate multi-step reasoning, error recovery, or agent coordination. CrewAI and LangGraph require Python expertise and months of configuration. I deliver a production system with monitoring, approval gates, and managed operations — you don't need to build, debug, or maintain anything yourself.
Let's Talk
Ready to see what AI agents
can do for your operations?

30 minutes. No slides, no pitch deck — just a live walkthrough of how this architecture would work for your specific workflows. You'll leave with a clear picture of which operations to automate first and the expected ROI.

Book a 30-Minute Strategy Call →
No obligation. No pressure. If AI agents aren't the right solution for your situation, I'll tell you.
Book a Strategy Call →