CEO
Strategy
Sets direction, strategy, and coordination across every team.
Neuro OS Enterprise — Product overview
Enterprise AI operating system with governance built in
Specialized roles—strategy, product, finance, marketing, engineering, and support—on Neuro OS, the operating system for your company, run in one loop: plan, execute, review, and report—without manual micromanagement.
SSO · RBAC · Audit logs · Self-host · Open source · Enterprise controls
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LIVE
09:14:02 Marketer
09:14:08 Analyst
09:14:15 Writer
09:14:21 CFO
09:14:28 COO
09:14:35 Support
09:14:41 CEO
09:14:48 CTO
Powered by Neuro OS
Neuro OS by Pattern Automation
Neuro OS is the enterprise AI operating system built by Pattern Automation — an international ScaleUp in AI automation, AI agents, multi-agent systems, business process automation, and enterprise AI.
Neuro OS orchestrates autonomous agents, multi-agent workflows, and business processes in one governed environment — for mid-market and enterprise B2B teams automating sales, finance, operations, customer support, and ESG.
Deployed for companies in 12 countries (Russia, Kazakhstan, United States, European Union, and worldwide). About Pattern Automation.
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Next step
Discuss deployment
Briefly describe your goal—we will reply with pilot guidance. Below on this page: a section on the commercial proposal and stages.
Process
Four phases. Minimum manual busywork.
Each cycle runs autonomously—then repeats with fresh context and priorities.
CE CEO
Planning
The CEO gathers context, sets priorities, and shapes a strategic backlog for the full agent team.
DE Developer
Execution
Each agent executes its work autonomously—code, design, copy, marketing, and operations in one shared environment.
AN Analyst
Review
The analyst reviews completed work, quality, and risks—and recommends improvements for the next cycle.
WR Writer
Reporting
The writer packages cycle outcomes: metrics, decisions, and next steps—in a format teams can act on.
Not a chatbot. Not a lone agent. An AI company
Real tools. Real outcomes. Real margin.
Industry solutions
Flexible solutions for operators
SelectedBanking
Banking
AI workers: contact-center agent, loan/deposit information agent, biometric authentication, sales agent.
Observed impact: 24/7 service in chat and voice, customer identification in seconds (no passwords/SMS), routing to humans only for complex cases.
KPIs (directional benchmarks): 65% of communications automated, 60% lower contact-center load, 20% payroll savings, up to 3× faster customer updates, +16–25% sales, +20% repeat sales, up to 99% biometric verification accuracy, up to +30% faster service.
Telecommunications
AI workers: voice subscriber agent, support chat assistant, communications analytics agent.
Observed impact: shorter wait times, steady handling of traffic peaks without expanding the operator roster, automatic escalation of difficult cases to live specialists.
KPIs (directional benchmarks): 55–65% communications automated, sub‑second response latency, up to 60% lower contact-center load, up to ~1M RUB/month payroll savings, up to +15% script adherence, +15–30% outbound sales.
HR
AI workers: recruiter, interview assistant, onboarding agent, turnover forecasting agent, HR document workflow.
Observed impact: automated first-pass screening and interviews, churn forecasts from compensation/tenure/age/geo signals, a clear drop in manual HR workload.
KPIs (directional benchmarks): ~2× faster hiring, up to −30% missed interviews, up to 2.5× candidate pipeline, up to −70% HR team load, up to −30% payroll on routine HR tasks.
Retail
AI workers: omnichannel service agent, NPS/communications analytics agent, promo assistant, delivery confirmation agent.
Observed impact: fast answers 24/7, root-cause insight when NPS slips (clustering + semantic analysis of dialogs), faster marketing and support response.
KPIs (directional benchmarks): up to 100% of communications analyzed across channels, +15% script adherence, +15–30% outbound sales growth, 55% communications automated, +20% customer satisfaction, +5–10% revenue lift.
Manufacturing
AI workers: raw-material/product QC agent, defect engineering assistant, code assistant for engineering teams, technical documentation agent.
Observed impact: defects and deviations flagged in seconds on video streams, fewer downtime events and repair costs, faster resolution of process issues from the knowledge base.
KPIs (directional benchmarks): up to 95% defect-detection accuracy, 1–2 seconds to flag issues, up to 95% system availability, +55% engineering team throughput, up to −20% payroll on routine tasks, >90% correct answers from the tech assistant, 1–3 seconds to retrieve data.
Healthcare
AI workers: patient contact agent, scheduling/reschedule assistant, CT imaging diagnostic assistant, medical records coordinator.
Observed impact: faster booking and visit confirmation, lower load on front desk and contact center, faster imaging-assisted diagnosis and more consistent care quality.
KPIs (pilot targets): 24/7 voice and chat, first response under ~1 second, up to +30% faster case handling, up to −20% load on registration and the contact center.
Hospitality & food
AI workers: bookings and delivery agent, procurement/write-off agent, shift operations agent, guest service agent.
Observed impact: fewer write-off losses, better inventory turns, disciplined shift coverage, and faster guest service at peak hours.
KPIs (pilot targets): 55–65% of guest communications automated, sub‑second response in voice/chat, +20% guest satisfaction, +5–10% revenue from faster service and repeat orders.
Audit
AI workers: contract review agent, compliance monitoring agent, audit report assistant, variance and risk agent.
Observed impact: first-pass contract review in ~5 minutes instead of 1–2 days; full approval cycles often 5–7 → 1–2 business days; far fewer manual markups.
KPIs (directional benchmarks): ~5 minutes for first-pass contract review vs. 1–2 days, full approval cycle compressed from 5–7 to 1–2 business days, up to 95% time saved preparing regulatory responses.
Investments
AI workers: investment committee agent, portfolio analyst, due diligence agent, deviation monitoring agent.
Observed impact: faster investment memo preparation, a unified risk view across assets, transparent deviation tracking, and more predictable portfolio decisions.
KPIs (directional benchmarks): >90% relevant answers from the knowledge base and analytics, 1–3 seconds to retrieve asset and risk data, 1–4 hours saved per specialist per week on analytical tasks.
Cross-industry outcomes
Team
24 roles today—plus functional copilots across business lines.
Each agent has its own tools, memory, and decision rules within organizational policy. Below you’ll see core leadership roles and applied copilots for HR, sales, production, finance, procurement, customer service, and management.
● leads
CTO
Technology
Architecture, technical decisions, and delivery oversight.
CFO
Finance
Budgets, forecasts, and capital allocation.
CMO
Marketing
Brand strategy, channels, and growth loops.
COO
Operations
Processes, SLAs, and continuous operational improvement.
Developer
Engineering
Code, features, and shipping to production environments.
Designer
Design
UI/UX, the visual system, and product consistency.
Marketer
Growth
Campaigns, social, and funnel content.
Analyst
Data
Metrics, reporting, and quality checks across cycles.
Writer
Content
Documentation, posts, and internal and external comms.
Support
Support
User tickets and the knowledge base.
HR
People
Onboarding, policies, and org design in Neuro OS.
HR Copilot
HR operations
Automates hiring and team development: reqs, resume screening, KPI reports, payroll forecasts, and individual growth plans.
Production Copilot
Manufacturing ops
Sharper costing, downtime and repair analysis, production KPI monitoring, and supply-chain visibility.
Sales Copilot
Sales
On-demand sales analysis 24/7, outbound emails, CRM lookups, and generated proposals and call scripts.
Management Assistant
Leadership ops
Answers “how are we doing?”—department effectiveness, initiative status, and profit outlook by unit and resource.
Procurement Copilot
Procurement
Covers suppliers, stock, requisition status, and spend; compares quotes and flags risks.
Finance Copilot
Finance
Financial analytics, budgeting and audit support, document risk checks, and management reporting.
Customer Service Copilot
Customer service
Monitors support performance, handles text and voice queues, and suggests replies to agents. In a typical rollout, handle time drops 2–3× and teams reclaim 40+ hours per month on routine work.
AI Secretary
Documentation
Meeting notes: recording, transcript, and structured minutes for the team and executives—often 80–90% less time than manual notes, with humans only doing final edits.
First-line Support Bot
Tier 1
Absorbs large inbound volume (500+ tickets/day), easing load on leads and agents.
Legal Assistant
Legal
Reviews agreements for risk, aligns with policy, and prepares notes for legal and finance. A first-pass review lands in about 5 minutes instead of 1–2 days, and approval cycles often drop from 5–7 days to 1–2 business days.
FNS Response Copilot
Tax inquiries
Drafts responses to tax-authority requests (FNS-style): parses demands, pulls the right documents, and produces a full official draft—often from ~40 minutes to a few minutes per task.
Accounting Ops Copilot
Accounting
Triage inbound requests, gathers documents from multiple systems, drafts replies, and speeds 1C/ERP document prep—often up to ~95% time saved per response.
Enterprise
Your whole company in one repo. Governed for the enterprise.
Every agent, permission, connector, and secret is a file you control — reviewable, reversible, and deployable to cloud, VPC, or your own metal.
- SSO
- RBAC
- Audit logs
- Self-host
- Open source
Govern actions, not just users.
Most platforms stop at login. Neuro OS governs every tool call, secret read, and config change an agent makes — because the control plane is a git repo.
Agents never touch your keys
Connectors and models are proxied through a project-scoped token. Credentials are brokered server-side and never enter the sandbox. Rotate or revoke in one place.
Only the access it needs
Each agent gets the tools, secrets, and files it needs. Allow / ask / block per action — down to network patterns. Risky operations pause for a human yes before they run.
Reviewed like code, reverted like code
Policy, agents, and config live as files in the company repo. Every change — by a developer, an admin, or an agent — is a diff. Audited for as long as you keep the history.
Isolation by default. Scale without a shared machine.
Every session runs on its own isolated machine on its own git branch. Parallel agents do not collide. Work lands through a reviewable change request.
Sandbox per session
Each run gets an isolated machine with a clean clone of main. No shared state, no cross-contamination between teammates or agents.
Branch per agent
Work happens on branches and merges through review. Agents follow the same discipline as your engineers.
Multi-tenant from day one
Built for whole companies, not a single desktop. Hundreds of teammates, each running parallel agents, on one platform.
Everything procurement will ask for. Already answered.
Identity, audit, secrets, and model control in one place — then SLA, DPA, and dedicated support in the contract.
Who can do what
- SAML SSO. Sign in with your existing identity provider.
- SCIM provisioning. Sync users and groups automatically.
- Advanced RBAC. Roles and per-resource permissions, scoped per agent.
What ran, and where
- Full audit export. Stream every agent action to your SIEM.
- Encrypted secrets. Connector credentials never enter the machine. A runtime secret reaches a session only through the person who started it and the agent’s own grants.
- LLM gateway. One endpoint for every model, with budget controls and observability. Bring your own keys or subscriptions.
Your data never has to leave.
Neuro OS is open source. The same stack runs in our cloud, in your VPC, or on your metal — and you own the config, the conversations, and the context. No data lock-in.
Managed
The same files, gates, and audit trail as a self-hosted install.
In your network
The control plane sits with you. Connectors still broker keys server-side. Nothing public without a yes.
Your metal
Your models, your keys. The company repo is the source of truth — not a vendor account.
SLA, DPA, and dedicated support are agreed for your organization — not copied from a generic pricing table. Talk to us · Governance · Open source
Ready for a commercial pilot?
If Neuro OS roles and scenarios already map to your job, the next meaningful step is a proposal or a call slot—so scope, acceptance metrics, and kickoff land in writing.
Request a commercial proposal →Next: deployment
Below: purchase and deployment—what goes into the proposal and contract, how the Neuro OS pilot runs in your environment, and what metrics we sign acceptance against.