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.
GEO: Why 62% of Websites Are Invisible to AI Search (And How to Fix It)
Your site may rank #1 on Google and still be invisible to ChatGPT, Perplexity, and Google AI Overviews. Here is why traditional SEO no longer guarantees AI search visibility, and the seven pillars that determine whether AI engines cite you or skip you.
- 62% of brands are technically invisible to AI search despite heavy traditional SEO investment
- Only 12% overlap between ChatGPT citations and Google top-10 rankings; different game, different rules
- 79% of top news sites accidentally block AI crawlers; the fastest fix costs nothing
- Pages loading under 0.4s get 3x more AI citations than slower pages; Core Web Vitals matter for GEO
- llms.txt is the new robots.txt; most sites don't have one yet, giving early adopters a clear edge
- GEO keyword difficulty averages 15-20 vs. 45-60 for SEO; the competitive window is open now
llms.txt: The Complete Implementation Guide for AI Search Visibility
llms.txt is the robots.txt of the AI era: a plain-text file that tells ChatGPT, Claude, and Perplexity what your site is about and where your best content lives. Under 5% of websites have one. Here is the complete guide to implementing it in under an hour.
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.
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.
