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.
Agentic AI vs Generative AI: Key Differences, Real-World Use Cases, and Which One Your Business Actually Needs
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
- ️ Enterprise wins come from pairing LLM orchestration with HITL gates, audit trails, and private deployment
- 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
10 Things I Learned from Andrej Karpathy on the Shift to Agentic Engineering
It is a startling admission when one of the people who helped build modern AI admits he has never felt more behind as a programmer. Here are the 10 most profound things Andrej Karpathy revealed about the shift from vibe coding to agentic engineering — and what it means for developers and enterprises.
Mastering Claude Code in the Enterprise: A Blueprint for Secure, Compliant, and Controlled AI Development
Deploying Claude Code across a development team is not just an installation exercise — it is a governance challenge. This blueprint covers MDM-enforced policies, enterprise SSO, Compliance API audit trails, CLAUDE.md standardization, Plan Mode, and phased rollout to make Claude Code your most secure and traceable development asset.
Strategic Engineering: Why Software Fundamentals Matter More Than Ever in the Age of AI
AI makes software fundamentals more important, not less. The five failure modes of AI-assisted development — misaligned design, language gaps, outrunning feedback, shallow modules, and cognitive exhaustion — are all solved by the same veteran engineering disciplines.
