Private No-Code Agentic AI · ISO 27001 · SOC 2 Type 2
AI Agents That Run in
Your Infrastructure.
Deployed in Weeks, Not Months.
Private, no-code agentic AI for enterprises. Build production-ready agents on your systems, under your control, with contracts tied to measurable outcomes.
Why lowtouch.ai
Most enterprise AI projects stall on complexity, cost, or control. We solve all three.
Security
Private by Architecture
- Your data never leaves your perimeter. Ever.
- Air-gapped deployments fully supported.
- SOC 2 Type 2 & ISO 27001 certified.
Speed
No-Code, No Waiting
- Live in 4–6 weeks, not 6–12 months.
- Zero AI engineers required on your side.
- Pre-built catalog of production-ready agents.
Control
Governed Autonomy
- Every critical action requires human sign-off.
- Full thought-logging — nothing runs in the dark.
- Agentic workflows keep every action auditable.
Value
Outcome-Based Contracts
- Pay for measurable results, not licenses.
- No ROI hit? You don't pay. Simple.
- Most customers see payback in Q1.
Certified
ISO 27001
Attested
SOC 2 Type 2
Platform
The platform your security team will approve.

Latest from the AI Academy
Practical guides, research, and case studies on deploying AI automation in enterprise environments.
Claude Code vs GitHub Copilot: The Complete 2026 Comparison
Pricing, autonomy, multi-file edits, model access, and the hybrid play: everything a developer needs to choose between Claude Code and GitHub Copilot in 2026.
- Claude Code is an agentic reasoning engine; GitHub Copilot is autocomplete evolved into workflows
- No metering anxiety with Claude Code; GitHub's premium request multipliers burn quota fast
- Claude Code handles 10-30+ file coordinated changes; Copilot struggles past dual-file refactors
- The hybrid play: $30/month covers both tools for different parts of your workflow
- Opus 4.6 at 3x multiplier in Copilot Pro+ runs out in days; Claude Code Max has no ceiling


The $6 Billion Month: Why AI Agents Are Eating Labor Budgets and What Comes Next
Anthropic generated $6 billion in February 2026, a 28-day month. That single figure reframes the entire AI market. This post breaks down what is driving it, why the next threshold is labor budgets, and why IPOs are no longer optional.

How OpenClaw Became GitHub’s Most-Starred Project in 60 Days
OpenClaw hit 335,000 GitHub stars in 60 days, surpassing React’s 10-year record. We analyze the data, compare the top agentic AI projects, and explore what it means for enterprise AI adoption.

The Observability Mindset: What IT Leaders Can Teach the Rest of the C-Suite
Observability in IT means knowing not just what broke, but why and what comes next. The leaders who will navigate the next decade have learned to apply the same discipline to their organizations.
