Custom made or adopted B2B AI-first apps.
AI agents that run your sales, support and back office.
Built for growing B2B teams.
Self-serve agents from $99/mo each — see pricing →
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
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: products running live.
Maya
The AI that sells on your website — Maya greets every visitor in their language, answers what they ask, recommends the right product or service, and captures the lead.
Meet Maya →
Leads
Autonomous lead-gen & CRM — discovers and enriches prospects, drafts personalized outreach, and tracks every conversation to a booked call.
See Leads →
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 →
Lead funnels
RenoRange
AI renovation-estimate funnel for contractors — instant cost range, an AI “see it renovated” preview, and verified, consent-captured leads. Live funnel.
See RenoRange →
Commerce
Studio
AI product photography & video at scale — turn plain product shots into on-brand marketing creative, ready for your storefront and social. Delivered under our Shopify partnership.
See Studio →
Recruiter
Operations
Recruiter
End-to-end AI hiring — sources, screens, ranks, and books interviews across LinkedIn & Israeli job boards. Bilingual CV parsing, intake to placement, fully automated.
See Recruiter →
Operations
B2Billing
Hands-off billing & accounts-receivable — issues Israeli tax docs via iCount with correct VAT, every document behind a one-click approval gate.
See B2Billing →
Lead funnels
Rapid Site Builder
Spin up a full site with a built-in agent ops team — AI builds the pages, publishes content, and runs site-maintenance agents on our hosting partnerships.
See Rapid Site Builder →
Operations
Agents Outsource
Managed AI agents for your operations — we design, run, and supervise a dedicated agent team so you get the outcomes without managing the stack.
Explore Agents Outsource →
Platform
CLI Gateway
One secure remote gateway to every CLI your agents need — gcloud, gh, Shopify, Trello, and more — no local installs, fully audited.
See the gateway →
Education
Claude Certified Architect Training
A bilingual (EN/HE) study app for all four Anthropic Claude certification exams — mock exams, flashcards, scenarios and a code playground, mapped to each official blueprint.
Start training →
Operations
Accessibility
Israeli statutory accessibility audit plus agentic auto-fix — we deliver the regulator report and our agent opens the PRs that fix the issues. IS 5568 / WCAG AA.
Request an audit →
+ More in production
+ More in production
Maya and 60+ specialized agents — all running live. Tell us what you need automated.
Map your stack →// Maya · the agent customers talk to
Maya talks. And sells, and serves.
Short films from OpsAgents AI Labs, a demo fashion store, and the five things Maya does. The films and the store are made up; the abilities are Maya’s own.
Voice SDR: qualifies, handles the objection, books the demo.
All three are fictional stories from our OpsAgents AI Labs playlist. The video only loads when you press play. Try Maya herself at maya.opsagents.agency.
Shops with the customerOffers, a full look, size check, try-on. A demo store, not a real one.
- Talks out loudReal-time voice. Interrupt her and she listens.
- Many languagesDemonstrated in English and Hebrew, in voice and in chat.
- QualifiesSize, need, timeline. She handles the objection.
- Books the demoThe request lands with your team.
- Asks before it actsCart changes wait for the shopper’s yes.
Every lead lands in Leads, our CRM
- A new lead arrives with contact details, heat and the chat transcript.
- When checkout is offered, or the purchase completes, the lead is set to hot.
- A new hot lead alerts the owner, with a first-response target on the lead.
This is how OpsAgents runs its own site chat.
See Maya in actionראו את מאיה בפעולה
Demo with an invented developer
OpsAgents Works With the Best
Real partnerships that operationalize the platforms you already run on — most significant first. Real integrations, real partner programs, not screen-scraping.
Google Cloud
Google for Startups · Cloud
Production cloud — region-pinned in Israel, Vertex AI models. Home of Rapid Site Builder & CLI Gateway.
AWS
AWS Partner Network
Multi-cloud deployment with Amazon Bedrock as a native model path.
NVIDIA
NVIDIA Inception member
GPU-accelerated agents with NIM microservices as a native model path.
Microsoft
Microsoft AI Cloud Partner Program
Agents on Azure cloud and the Microsoft 365 platform.
monday.com
monday.com Partner
We roll out monday AI — agents, magic, sidekick & vibe — wired into your stack.
Salesforce & Heroku
Salesforce Partner Program
Deliver & deploy on the Salesforce platform and Heroku.
SAP
Member of the SAP® PartnerEdge® open ecosystem
Enterprise ERP automation — agents that operate across your SAP business processes.
Shopify
Shopify Partner Program
Commerce automation — Studio and Maya on your site.
GitHub
GitHub Apps & Actions
Agents that ship where your code lives — GitHub Apps, Actions & MCP, one reviewed pull request at a time.
GitHub is a trademark of GitHub, Inc. OpsAgents AI is not affiliated with or endorsed by GitHub, Inc.
Atlassian
Atlassian Marketplace Partner
Jira, Confluence & Bitbucket agents — projects automated end-to-end.
Netlify
Netlify Partner
Member of the Netlify Partners program.
OpenAI
OpenAI Partner Network member
Member of the OpenAI Partner Network.
Don’t see your platform?
Tell us what you run — we’ll map where AI agents fit in your stack.
Map your stack →
OpsAgents AI is a proud member of the startup programs of
Claude for Startups
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.
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.
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.
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.
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 recorded in an audit log. 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.
// Architected, not prompted
The limits sit in the architecture around the agent, not in a prompt it could talk its way past.
Scoped access, approval gates and review before release are part of how the system is built. Autonomy is earned inside them.
- 1. PlanState the goal, the scope the agent may touch and the success criteria.
- 2. ActWork through scoped tools. Anything past the approval boundary waits for a person.
- 3. VerifyCheck the result against the success criteria and keep the evidence.
Then the loop runs again. Meet the criteria and the approval boundary widens. Drift, and the agent goes back to tighter supervision.
The trust gradient: where the approval boundary sits
- Research and drafts
- Code to pull request
- Deploy, after review and test evidence
- Money, client email, new outreach: a human yes
Autonomy is earned. When an agent keeps meeting its success criteria, its approval boundary widens. When it drifts, the boundary tightens and supervision returns.
The dark marker is the approval boundary. This is an illustration of the method; it shows no live scores or readings.
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 agents across temporal and data dependencies. Agents share context through structured registries, not ad-hoc message passing.
Secured
Per-client isolated virtual machine deployments are available, with scoped OAuth credentials. Business data is retained only as long as the workflow needs it. Every action is logged to an 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.
Creating a software product from one prompt is fun. Delivering a robust, scalable, secured product is hard — even with agentic flow, it still has to be done by professionals.
That is the part we architect.
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 →Measured on our own company
One human sets direction. Each seat owns a lane.
Michal founded OpsAgents AI. Every other seat on this chart is an agent she supervises.
Chairwomanstrategy
- Category and long-range strategy
- Capital and investor narrative
- Governance and hiring calls
Creatorfront door
- Status, briefings, what is next
- Routes every request to a specialist
- Sprint and launch orchestration
PMscope
- Roadmap and priorities
- Specs and acceptance criteria
- Says no, cuts scope
Productdelivery
- Delivery against the written spec
- Done or back to To Do, with QA
- Opens the fix tickets
CTOengineering
- Every repo and deploy target
- Reviews and merges each PR
- Incidents, hotfixes, rollouts
CFOmoney
- Runway, burn and cash flow
- Pricing and unit economics
- Cloud credits and grants
SOSA governorgovernance
- Governance audits
- Trust scores and the audit log
- Which tools need approval
+ 5 moreleadership
- Other leadership skills
“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.”
// 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.
Audit Logs
Every agent action is written to an audit log. Know exactly what ran, when, and why.
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.
“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.”
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, 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?
Timing depends on scope. A single-agent deployment follows four steps: 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.
Ready for AI That Works
Where You Already Work?
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