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All 150 industry modules live today · 15 industries

Operations thatrun themselves.

Five autonomous AI agents work inside the systems you already run — no rip-and-replace. They watch every signal, decide in under two seconds and take the action themselves, leaving a written audit trail behind every move.

Start free — no card → Browse 150 modules
🌙Agents run the 2am shift 📉Noise cut, coverage kept ⚡Decisions in under 2s 🛡️Audit-ready by default ✓Live in minutes · cancel anytime
aiflowos · agent pipeline LIVE · HANDLED WITHOUT A HUMAN
📡COLLECTData Collector
🧬ENRICHEnrichment Engine
🧠ANALYSEAI Analyst · PlugSky
⚡ACTResponse Orchestrator
📣NOTIFYCommunication Hub
📈LEARNFeedback loop

Awaiting the next signal…

PIPELINE PROGRESS0%
150Live modules
15Industries
<2sDecision time
200KContext window

Built for operations where failure is expensive

The sectors AIFlowOS modules are designed, tested and tuned against across the Gulf.

Aviation
Aviation
Banking
Banking
Government
Government
Healthcare
Healthcare
Research
Research
Heavy industry
Heavy industry
The problem

You did not hire your best people
to close alerts.

Every enterprise runs more systems than it can staff. The bottleneck is not information any more — it is the human minutes between a signal appearing and somebody acting on it.

A normal Tuesday, today

Without AIFlowOS
  • Six consoles open, none of which agree with each other
  • Tens of thousands of alerts; a handful actually matter
  • One senior engineer is the single point of failure at 2am
  • Root cause is found after the outage, never before it
  • Every new system adds headcount instead of removing it
  • Audit means three weeks of screenshotting evidence
2amis when your most expensive person gets the call

The same Tuesday, on AIFlowOS

With AIFlowOS
  • One console, one queue, one language — English or Arabic
  • Noise collapses to the few decisions that need a person
  • Agents work the night shift and leave a written handover
  • Degradation is predicted hours before it becomes an incident
  • New systems are absorbed by a connector, not a new hire
  • Every action is logged, reversible and audit-ready by default
<2sis how long the same decision takes now
How it works

Live in four moves.

No rip-and-replace, no data migration, no eighteen-month programme. AIFlowOS layers over your existing stack and stays read-only until you trust it.

🔌ConnectPoint AIFlowOS at your systems with a pre-built connector, an API key or a webhook. Observe-only on day one.
🧩Pick a moduleChoose from 150 live industry modules. Each arrives with its playbooks, metrics and vocabulary already written.
🎚️Set guardrailsDecide what agents may do alone, what needs approval, and what is never touched. Policy is enforced, not suggested.
🚀Hand over the shiftAgents run continuously, escalate by exception, and get better from every correction your team makes.
The AI ARMY workflow

Five agents. One relay.
100,000 signals in, 50 decisions out.

Each agent does one job extremely well and hands the baton forward with full context. Nothing is a black box — every hop is inspectable, replayable and reversible.

AGENT 01📡Data CollectorPulls telemetry, tickets, logs and transactions from every connected system in real time.
AGENT 02🧬Enrichment EngineAdds threat intel, asset value, ownership and history so raw events become context.
AGENT 03🧠AI AnalystPlugSky reasons over the enriched picture, states a conclusion and shows its working.
AGENT 04⚡Response OrchestratorSelects the playbook, checks it against policy, then executes across your tools.
AGENT 05📣Communication HubBriefs the people who need to know, in the channel they already live in.
INPUT100,000+Raw signals per day across the estate
CORRELATED~2,400Distinct events after de-duplication
REASONED~380Candidates worth a decision
AUTO-ACTIONED~330Closed by agents inside policy
TO A HUMAN~50Escalated with a full decision trail
Collection & enrichment Reasoning Action & comms Feedback into the model

Funnel volumes illustrate a typical security-operations workload shape. Your ratios depend on estate size, data quality and how wide you set the autonomy policy.

The engine

The reasoning is ours.
So is the accountability.

AIFlowOS runs on PlugSky, our own LLM, with commercial models on standby as failover. You are never locked to one vendor's pricing, uptime or policy.

LAYER 05
ExperienceAsk in plain English or Arabic · web console, API, chat and mobile
HUMAN
LAYER 04
AIAgentsOS — orchestrationFive specialised agents, policy engine, approvals, rollback and audit trail
CONTROL
LAYER 03
PlugSky AI ReasoningNatural language · predictions · 200K token context · Claude, Llama, Mistral and GPT on failover
CORE ENGINE
LAYER 02
Industry module layer150 live modules across 15 industries · domain playbooks, metrics and ontologies
DOMAIN
LAYER 01
Data & connector fabric10,000+ pre-built integrations · streaming ingestion · regional data residency
FOUNDATION
What you get

Six capabilities that change
the operating model.

🤖

Multi-agent orchestration

Five specialised agents run the collect → enrich → analyse → act → communicate relay continuously, with a written handover at every hop.

Always onFull audit trail
🔮

Predictive operations

Models flag degradation hours ahead of failure, so the work shifts from incident response to quiet prevention.

6h lead timeTrend detection
🧠

Contextual reasoning

A 200K token window holds the runbook, the history and the live incident at once — and shows the reasoning behind every call.

PlugSky LLMExplainable
💬

Natural language control

“Show me everything that touched the payment gateway last night.” Ask in English or Arabic; get an answer and an action, not a query builder.

EN / ARNo training needed
🔄

Self-healing operations

Restarts failed services, rolls back bad configuration and snapshots state before changing anything — recovery becomes a decision, not a project.

Auto-recoveryReversible
📈

Adaptive learning

Every correction your team makes is training signal. The system gets measurably better at your operation, not at a benchmark.

Tuned to youWeekly updates
Module registry

One operating system.
The expertise already inside.

Pick an industry and see the operational intelligence your team gets on day one — specialised modules, five AI agents, governed actions and a written record of every decision.

🧠
Industry intelligenceVocabulary, playbooks, metrics and guardrails built for your operating environment.
⚡
Five agents, one outcomeCollect, enrich, analyse, act and notify in a connected execution loop.
🛡️
Control without compromiseEvery action is visible, reversible and written into an audit-ready trail.
Explore what ships with AIFlowOS 150 LIVE
See your AIFlowOS workspace →

Market values are third-party estimates of the sector spend a module addresses — not AIFlowOS revenue or pipeline.

By the numbers

What the platform
actually delivers.

0
Live modulesDeployable today across 15 industries
0
Autonomous agentsCollector, Enrichment, Analyst, Response, Comms
<0s
Decision latencySignal to executed action, on average
0K
Token contextWhole runbooks held in working memory
0%
Alert reduction100,000 daily alerts down to ~50 worth reading
0%
Faster processingLoan review cut from 72 hours to about 2
0%
Lower operating costObserved in aviation delay-cost reduction
0×
Throughput per headSame team, three times the case volume
0h
Advance warningTypical lead time before predicted failure
0%
Prediction accuracyOn operational failure models in pilot
0%
Uptime in pilotsMeasured across deployed environments
0+
Pre-built connectorsEnterprise systems reachable without code
AIFlowOS facts

By the numbers — global scale.

4Live enterprise usersMajor GCC airline, top-10 MENA bank and a government entity actively deployed
$180MSaved per quarterDocumented cost savings at a major GCC airline deployment
40%Lower operating costsAviation delay-cost reduction achieved through predictive AI
97%Faster processingBanking loan approvals cut from 72 hours to about 2 hours
$8.5M+Annual savingsAverage cost reduction across enterprise customers each year
3×Capacity increaseBanks process three times the loan volume with the same staff
99.95%Alert reduction100,000 daily security alerts down to ~50 needing a human
85-95%Operations automatedTypical automation rate across all deployed industry modules
5Autonomous AI agentsCollector, Enrichment, Analyst, Response and Communication, 24/7
10,000+Pre-built connectorsAPI integrations available for enterprise systems
<2sResponse timeAverage AI decision-making and action execution
2 minFastest integrationWebhook path from zero to operational protection
4Compliance frameworksSAMA, NESA, ISO 27001 and SOC 2 Type 1 (in progress)
4AI models supportedPlugSky LLM with Claude 3.5, Mistral and GPT-4 flexibility
25+Cloud regionsAWS and Azure deployment options available globally
WeeklyModel improvementsContinuous learning with no customer downtime
99.7%Uptime in pilotsDemonstrated reliability across customer deployments
1M+Training data pointsAI model training dataset for pattern recognition
500K+Alerts processedTotal across all pilot customer deployments to date
10,000+AI decisions dailyAutonomous decisions executed each day, 1,000+ threats blocked

Performance figures come from pilot and early-production deployments and vary with estate size, data quality and autonomy settings. The measurement method is available under NDA — ask for the benchmark note.

Live module

🔐 CyberOS AI
ARMY workflow.

The full autonomous chain for our flagship security module — from raw enterprise signal to contained incident, with no human in the loop unless one is genuinely needed.

1INPUT DATAReal-time security alert ingestion from multiple enterprise sources
🖥️SIEM systemsSplunk, QRadar, Sentinel and ArcSight alerts streaming in real time via API or webhook
🌐Network devicesFirewall logs, IDS/IPS alerts, VPN connections and router events
☁️Cloud securityAWS GuardDuty, Azure Sentinel and GCP Security Command Center
💻Endpoint protectionCrowdStrike, SentinelOne and Microsoft Defender alerts
2AGENT 1 · DATA COLLECTORNormalises and aggregates alerts from all sources into one unified format
🔄Data normalisationConverts diverse log formats into a standardised schema for unified processing
🔍Alert deduplicationIdentifies and merges duplicate alerts arriving from multiple sources
📊Event categorisationTags alerts by type: malware, intrusion, DDoS or insider threat
⚡Real-time queuingPrioritises high-severity alerts for immediate processing
3AGENT 2 · ENRICHMENT ENGINEAdds contextual intelligence from 50+ threat intelligence sources
🛡️Threat intel lookupQueries VirusTotal, AlienVault and Shodan for IP, domain and hash reputation
🌍Geo-location dataMaps IP addresses to countries, ASNs and ISPs for risk scoring
👤User contextEnriches with directory data: user role, department, access level and history
📈Historical analysisAdds past incident data and previous alerts from the same source
4AGENT 3 · AI ANALYSTAdvanced reasoning on PlugSky LLM, backed by Llama 4 Scout and Claude 3.5 Sonnet
🧠Threat classificationDetermines critical, high, medium, low or false positive
🕵️Attack pattern recognitionIdentifies MITRE ATT&CK techniques and kill-chain stages
🎯Impact assessmentAnalyses potential damage, affected systems and data at risk
💡Explanation generationCreates human-readable analysis with full reasoning transparency
5AGENT 4 · RESPONSE ORCHESTRATORAutomated threat containment and incident response execution
🚫Auto-block threatsInstantly blocks malicious IPs on firewall, EDR and network devices
🔒Account isolationDisables compromised accounts, revokes access and triggers MFA reset
🎫Ticket creationAuto-creates ServiceNow and Jira tickets with complete investigation data
📣Stakeholder alertsNotifies the SOC team, CISO and affected departments via email, Slack or Teams
6AGENT 5 · COMMUNICATION HUBReal-time dashboard updates and compliance documentation
📉Live dashboardUpdates the security operations dashboard with incident status in real time
📝Audit trailLogs every action with timestamps and tamper-evident immutability
📄Compliance reportsAuto-generates SAMA, NESA and ISO 27001 incident documentation
📈Analytics & metricsUpdates KPIs: MTTD, MTTR, false-positive rate and trends

⚡ Output: autonomous security operations

From 100,000 daily alerts down to about 50 critical incidents — detection, analysis and response fully automated, in under two seconds on average.

99.95%Alert reduction
<2sResponse time
24/7Autonomous protection
95%+Accuracy rate

CyberOS AI is the flagship live module. The same five-agent chain runs beneath every other industry module, with sector-specific sources, playbooks and compliance outputs swapped in.

Pricing

Start on one module.
Scale when it pays for itself.

Every tier includes all five agents. What changes is how many modules you run, how much you push through them, and how far the deployment bends to you.

Starter

Prove the model on one workflow this quarter.

Free trialthen usage-based
  • 1 industry module
  • 25,000 operations / month
  • All 5 AI agents active
  • 30-day data retention
  • 3 user seats
  • Community & email support
Start free
MOST POPULAR

Pro

Run two live operations and wire it into your stack.

Talk to usvolume-tiered
  • 2 industry modules
  • 100,000 operations / month
  • All 5 AI agents active
  • 90-day data retention
  • API keys + webhooks
  • 10 user seats
  • Priority support
Start free →

Enterprise

Operate at estate scale with no ceiling on volume.

Customannual agreement
  • 5 industry modules
  • Unlimited operations
  • 5+ agents, custom roles
  • 1-year data retention
  • Full connector suite
  • Unlimited users
  • SLA + success manager
Contact sales

Strategic

Sovereign deployment, built with you, owned with you.

Partnershipbespoke terms
  • Unlimited modules & users
  • Custom module development
  • On-premise or sovereign cloud
  • Multi-region deployment
  • Unlimited data retention
  • Source code escrow
  • Co-innovation roadmap
Talk to the founders
Blog & resources

Read it before you buy it.

Working notes, calculators and industry breakdowns — all free, none of it behind a form.

Brief

Enterprise AI operations: what to automate first

A practical sequencing model for choosing the first workflow to hand to agents — and which to leave alone.

Read the brief → Brief

How a five-agent orchestration loop is designed

Why splitting collection, enrichment, reasoning, action and communication beats one monolithic agent.

Read the brief → Regional

Bahrain & GCC: local data, local compliance

Residency, regulator expectations and the practical constraints of autonomous operations in the Gulf.

Read the brief → Free tool

AI operations ROI calculator

Put in your alert volume, headcount and incident cost. Get a defensible savings model for finance.

Open the calculator → Free tool

AI agent governance checklist

The control questions risk, audit and security will ask — answered before they ask them.

Open the checklist → Hubs

Industry deep dives

Sector-by-sector breakdowns of where autonomous operations pay back fastest.

Browse the hubs →
All articles All tools Financial services Technology
Questions

The things buyers
actually ask us.

An AI-native operating system for enterprise operations. Instead of another dashboard, it puts five autonomous agents inside your existing stack — they collect signals, add context, reason over them, take the approved action and brief your team. The same core runs under all 150 industry modules, so a bank and an airline get identical reliability with completely different domain knowledge.
Rule engines execute the paths you predicted. AIFlowOS reasons about paths nobody wrote down.
  • It decides, not just routes. The Analyst agent reaches a conclusion and justifies it.
  • It survives change. A screen or schema change breaks a bot; the agent adapts.
  • It improves. Corrections become training signal for your environment.
  • It carries domain knowledge. Modules ship with sector playbooks, not blank canvases.
Yes — all 150 modules across 15 industry families are implemented and deployable today. CyberOS AI is the flagship with the deepest production history; banking, aviation and citizen services follow closely. Every other module is live in the registry with its playbooks, metrics and connectors in place, and can be provisioned to your tenant. Search the registry above to find yours.
No. The interface is a conversation. An operations lead types “show me everything that touched the payment gateway last night” in English or Arabic and gets an answer plus a proposed action. Engineers only get involved for custom connectors and unusual policy logic — and there is a full API when they want one.
First data flowing takes minutes with an API key. A realistic production sequence: week 1 connect and observe read-only, weeks 2–3 agents recommend while humans approve everything, week 4 onward progressively widen autonomy on the categories that have proven themselves. You control the pace of every step.
Three lines usually carry it: analyst hours returned, incidents prevented rather than resolved, and capacity handled without new headcount. Use the ROI calculator with your own volumes — it produces a model you can hand to finance. We also scope a paid pilot with a defined success metric, so the second cheque is a decision rather than a hope.
Exactly what you allow — per action type, per system, per blast radius. Every action is logged with its reasoning, most are reversible for 24 hours, and a snapshot is taken before configuration changes. Most customers start with notify-only, then unlock containment, then remediation. Nothing widens itself.
In the region you choose. AIFlowOS deploys across 25+ AWS and Azure regions, and Strategic customers can run fully on-premise or in a sovereign cloud with source code escrow. Residency, retention and export are contractual, not best-effort — and your data never trains a model that serves another customer.
PlugSky, our own LLM, is the primary reasoning engine with a 200K token context window. Claude, Llama, Mistral and GPT are configured as failover and selectable per workload. No single-vendor dependency on price, availability or acceptable-use policy — and you can pin a model for regulatory reasons.
Three ways: 10,000+ pre-built connectors for common enterprise systems; a REST API with webhooks for anything bespoke; and log or stream ingestion where no API exists. AIFlowOS sits above your stack rather than replacing it — your SIEM, ITSM, core banking and ERP all stay where they are.
Every decision produces an immutable record: inputs, reasoning, policy checked, action taken and who was notified — the artefact auditors ask for. Our programme is aligned to SAMA and NESA expectations, with ISO 27001 and SOC 2 work in progress. We share current certification status and evidence in writing during procurement rather than claim more than we hold.
Three safety nets. Confidence thresholds route uncertain cases to a human instead of guessing. Reversibility means most actions roll back within 24 hours from the same console. And correction is captured as training signal, so the same mistake becomes materially less likely. You also see the reasoning — which means you can argue with it, something a rules engine never offers.
Get started

Give your operation a night shift
that never sleeps.

Start free on one module. If the agents do not earn their place in the first month, you have lost nothing but a connector.

Start free → WhatsApp us Book a demo
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