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
AI is real, and it is already inside your ICP’s stack
Enterprise AI M&A is putting agents, data infrastructure, and workflow automation directly inside the systems CIOs, CFOs, and CISOs already own.
Agent Observability: Why ’What Did the Agent Do and Why’ Is the Question Most Enterprises Can’t Answer
Enterprise AI agents need decision-level audit trails that prove what triggered an action, which rules grounded it, what changed, and how the action can be reversed.
Open Weights or Closed APIs? The Question Enterprises Are Actually Asking
The enterprise AI choice is not open weights versus closed APIs. It is a control decision about data, cost, orchestration, and how easily your architecture can switch models.
