Multi-Cloud · Multi-Model 🛡 SOSA™ Governed Architected, Not Prompted

Custom made or adopted B2B AI-first apps.

Designed by AI architects.
Built by pro people and agents.

Not sure what we’d automate? Ask Maya →

Native partners of your stack.

Your humans in the middle.

Supervised · Orchestrated · Secured

We Architect so you canVIBE

24·7
Operating
100%
Auditable
BYOK
Any AI cloud
Proven in Production

The Products Behind the Platform

Maya, Leads, and AutoPilot — our flagship products, each running in production today. Open See all products for the full lineup.

Live OpsAgents Maya — AI SDR Maya

Maya

Your always-on AI SDR — Maya greets every visitor, qualifies the lead, answers product questions, and books the meeting, in Hebrew and English.

Meet Maya →
Live OpsAgents Leads pipeline dashboard — live metrics + heat scoring

Leads

Autonomous lead-gen & CRM — discovers and enriches prospects, drafts personalized outreach, and tracks every conversation to a booked call.

See Leads →
Live OpsAgents AutoPilot

AutoPilot

Your operations on autopilot — a supervised team of AI agents running your day-to-day workflows end to end, with approval gates where they matter.

Explore AutoPilot →
OpsAgents
Strategic partners

OpsAgents Works With the Best

Authorized partnerships that operationalize the platforms you already run on — most significant first. Real integrations, real partner programs, not screen-scraping.

OpsAgents AI is a proud member of the startup programs of

Google for Startups AWS Activate Anthropic NVIDIA Inception
Research Framework

The SOSA™ Methodology

Supervised Orchestrated Secured Agents — a formal framework for deploying autonomous AI agents in enterprise operations.

Abstract

Most agent frameworks treat autonomy and control as opposing forces — ending up either too brittle to scale or too opaque to trust. SOSA™ — Supervised Orchestrated Secured Agents is a four-pillar methodology that reconciles agent autonomy with organizational accountability, and OpsAgent is its production reference implementation across multiple business verticals.

S

Supervised

Human-in-the-loop checkpoints are first-class primitives, not add-ons. Supervision is graduated: routine tasks run autonomously, high-stakes actions need explicit approval.

O

Orchestrated

An orchestration layer coordinates agents across time, context, and toolchains — agents share structured context and run on business-logic DAGs, not ad-hoc cron triggers.

S

Secured

Security is a property of every layer, not a perimeter. Each agent runs isolated with scoped credentials, zero-trust boundaries, and verifiable audit trails — no access beyond its declared permission set.

A

Agents

Not scripts with LLM wrappers — goal-directed entities with persistent context, real tool use, and adaptive planning, each with a defined role, success metrics, and failure recovery.

The SOSA Execution Model

Every agent runs a three-phase loop — Plan, Act, Verify — with each action executed against real systems and logged to an immutable audit store. Agents that consistently meet their success criteria earn wider autonomy; those that drift are escalated to tighter supervision. The result is a trust gradient that addresses the three barriers to enterprise adoption: accountability, reliability, and compliance.

Read the full SOSA™ white paper →

OpsAgent: SOSA™ in Production

OpsAgent is the first commercial implementation of the SOSA framework. Every architectural decision — from isolated virtual machine environments to the orchestration scheduler to the human-approval gates — maps directly to a SOSA pillar.

Supervised

Configurable approval workflows per agent. Daily briefings surface all actions taken. High-impact operations (financial transactions, external communications) require explicit human sign-off.

Orchestrated

A centralized scheduler coordinates 18+ agent types across temporal and data dependencies. Agents share context through structured registries, not ad-hoc message passing.

Secured

Each client runs on an isolated virtual machine with scoped OAuth credentials. Zero business data is stored on OpsAgent servers. Every action is logged to an immutable audit trail.

Agents

Goal-directed agents with persistent memory, real tool access (calendars, CRMs, accounting systems), and adaptive planning — not scripts, not wrappers, not demos.

Shatz, M. (2026). “SOSA™: Supervised Orchestrated Secured Agents — A Methodology for Production-Grade Autonomous AI Operations.” OpsAgents Research.

Built by AI architects, experienced DevOps people and agents — partners of your native stack.

// 25+ Integrations

Works With Your Existing Tools

Bundled by department, not piece-by-piece — connect your whole stack securely and the agents pick the right tool for every job.

WhatsApp Slack monday.com Gmail Google Calendar Notion LinkedIn Trello + 14 more
See All Integrations →

Built for Our Own Company First

OpsAgent isn't theory — it runs the entire operations of a real tech company.

Case Study

We built OpsAgent to run our own company. Every agent you see here has been running in production for months, handling real leads, real invoices, real recruiting, and real content across multiple platforms.

The result? A full operations stack running with AI — proven, tested, and ready to deploy for your business.

See the Full Case Study →
18
Departments Automated
24/7
Always-On Operations
96%
Gross Margin
24h
Time to Deploy
The real OpsAgents operations dashboard — live agent activity, approvals, and metrics on one screen
The actual dashboard we run the company on — not a mockup.
Live surfaces we run on: Leads AutoPilot board Invoicing Recruiter
Michal Shatz, founder of OpsAgents

“I build every agent on this page myself — and run my own company on the exact same autonomous stack I sell. You’re not buying a promise; you’re buying what already runs my business.”

Michal Shatz Founder & Lead Engineer · Building OpsAgents in public

// Trust & Security

Built to Be Trusted

Enterprise-grade security, verifiable governance, and full transparency — because AI that acts on your business must be held to the highest standard.

Zero-Trust Architecture

Every access request is verified. No implicit trust, no standing keys. Permissions are scoped per agent, per client, per action.

Credential Isolation

Each client workspace uses isolated per-tenant credentials stored in GCP Secret Manager — never shared, never exposed in code or logs.

Immutable Audit Trail

Every agent action is logged with a verifiable, append-only audit record. Know exactly what ran, when, and why — always.

No Training on Your Data

Inference runs through AWS Bedrock and Vertex AI enterprise channels. Your prompts and responses are never used to train foundation models.

Multi-Tenant Isolation

Access is scoped so that one workspace does not read another. Logical isolation enforced at the IAM, database, and agent-permission layer, with a dedicated per-tenant project available for clients requiring physical isolation.

Human-Defined Guardrails

SOSA™ governance ensures agents act within operator-set boundaries and escalate on uncertainty — autonomy with accountability built in.

HTTPS / TLS 1.2+ GCP AES-256 at rest SOSA™ Governance Claude Partner Network Workload Identity — no long-lived keys SOC 2 Type II — in planning ISO 27001 — in planning
Customer Proof
“Taste into the future of app development.”

OpsAgents AutoPilot took a new feature set from an estimated 5–7 weeks down to 3 — “we wanted to develop a set of features quickly, and AutoPilot saved us that precious time.”

Yoav Badash Masa Kal

Frequently asked questions

Straight answers about running supervised AI agents on your real operations.

What is OpsAgents?

OpsAgents builds and runs supervised autonomous AI agents for real business operations — sales follow-ups, board management, invoicing, recruiting — on the tools you already use (Trello, monday, WhatsApp, Gmail, Notion). Agents work around the clock under the SOSA supervision framework, so the work ships without you touching a keyboard.

How is OpsAgents different from Zapier, Make, or n8n?

Automation tools wire APIs together with fixed triggers and steps, and break the moment reality doesn't match the flowchart. OpsAgents deploys AI agents that read context, make judgment calls, recover from errors, and log every decision for review. You delegate outcomes, not steps.

Can an AI agent really run my Trello or monday board on its own?

Yes, that is our core product. An agent picks up cards, does the work (code, content, outreach, invoicing), logs the output to the card, and advances it through your columns. Anything that genuinely needs a human waits in a dedicated attention list for your review.

What is SOSA and why does supervision matter?

SOSA (Supervised Orchestrated Secured Agents) is our operating framework for autonomous agents: explicit permissions, full audit logs, budget caps, and human-approval gates for irreversible actions. It is how autonomy stays safe enough for production business use.

How do you stop an autonomous agent from doing something destructive?

Hard gates. Spending money, deleting production data, or cold-contacting new people always requires explicit human approval. Everything else runs inside scoped credentials and is logged and reviewable.

How much does an AI agent cost?

Pricing is per agent and per outcome — you subscribe to working agents, not seats. See the pricing page for the current menu, or book an intake call and we'll map your workflows to the right bundle.

How fast can we go live?

Most single-agent deployments go live within days: we connect your boards and tools, configure the agent's rules, run a supervised trial, and hand over a running operation with reporting.

Which tools does OpsAgents integrate with?

Trello, monday.com, Notion, WhatsApp, Gmail/Zoho, Google Calendar, GitHub, Shopify, iCount, LinkedIn and more via MCP connectors. If your tool has an API — or even just a UI — an agent can usually operate it.

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