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 and research on deploying AI automation in enterprise environments.
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Generative AI drafts outputs on demand. Agentic AI runs goal-directed workflows end to end. Here is the decision framework enterprise leaders need in 2026.
- Generative AI produces artifacts on demand; agentic AI pursues goals across multi-step workflows
- Agentic systems use generative models as a reasoning engine, so this is a stack decision, not a versus
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- Decision rule: if the outcome is a document, pick generative; if the outcome is a completed process, pick agentic
- ️ 2026 trend: multi-agent systems plus agent communication protocols move orchestration from demo to production
The Future of Software Development: Why Coding Is Essentially Solved
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The Delusion of the Raw Engine: Why Harness Engineering is the True Frontier of Agentic AI
Every day the industry hyperventilates over the latest LLM benchmark scores and context window sizes, treating raw intelligence as the final product. It is not. The true engineering frontier is Harness Engineering: the rigorous discipline of bounding probabilistic AI with deterministic code.
Sequoia AI Ascent 2026 Keynote Analysis: Surviving and Thriving in the Age of AGI and Agents
Sequoia’s AI Ascent 2026 delivered a stark message: AGI is commercially here, agents actually work, and a cognitive revolution is underway that will automate 99.9% of human thinking. Here is the full analysis of what it means for founders, engineers, and enterprise leaders.
