"Expansion, Not Reduction"
AI doesn't replace your team — it multiplies their capability. We're evolving from human-dependent monitoring to AI-driven autonomous assurance, where the system can think, act, and protect itself while your team focuses on what truly matters.
These aren't theoretical problems. They're the daily reality of running a Business Assurance function in a Tier 1 operator — and they all compound each other.
Every system, network, or business change impacts RAFM. Each needs risk assessment, control design, stream readiness — and the cycle never slows down.
The volume of modifications demands a large, highly skilled team. Finding and retaining RAFM talent — especially with Saudization — is nearly impossible.
Massive traffic requires aggressive 24×7 monitoring. A single operational mistake cascades into wrong reporting, false findings, and eroded credibility.
Same team capacity, but exponentially growing operational load. Health checks, ETL monitoring, backlog management — all manual, all exhausting.
Thousands of alarms, reconciliation points, audit findings. Each needs investigation and follow-up. No team can handle this volume at max productivity.
RAFM domain expertise is rare. Finding analysts who understand both business logic and technical systems is extremely hard — and getting harder.
You report coverage %, efficiency KPIs, control counts. Management only asks: "How much did we save?" — and "no loss means we're good" doesn't convince.
When leadership doesn't see tangible savings, they resist headcount increases. The team stays flat while the workload grows — a death spiral.
SAILOR AI acts as the brain making business decisions, using iView 360° and SURF as its arms to execute — all built on a compliance foundation.
Risk assessment, control design, impact analysis. Persistent AI agent that learns your processes and acts as shared SME mind.
Natural language queries to data. Ask "Show fraud cases to Tunisia last 6 months" — get instant structured results and charts.
GenAI-supervised automation. AI decides what to automate based on its own analysis — not predefined rules. Connectors to Jira, SURF, iView.
Supervised GenAI — Same maturity, same output, every time. All results stored in DB for analysis and further threads.
No-code business assurance platform: validations, controls, reconciliation, rule engine, dashboards. Business teams build and modify without IT.
No-code BPM for case management, approvals, escalations. SAILOR decides and SURF executes — automated case lifecycle.
PDPL, governance frameworks, audit trails. Every AI decision is logged, traceable, and compliant.
Prediction, anomaly detection, pattern recognition. Moving from reactive detection to proactive prevention.
All processes, risk maps, control libraries, data fields feed into SAILOR for persistent institutional memory.
Each pain point has a specific, actionable answer. Here's how Autonomous Assurance addresses every challenge the RAFM function faces.
sailor.assure handles risk assessment and control design automatically. iView 360° enables business teams to implement changes without IT. We're building SAILOR → iView integration so AI implements controls directly once design is approved.
SAILOR acts as the shared technical and business SME mind. sailor.impact provides instant impact analysis across all controls and rules. AI can apply needed changes on iView or existing systems via MCPs — one brain, infinite hands.
Automate all operational health checks using iView 360° and SURF no-code. Every health check is dynamic and built into each ETL and control. SAILOR monitors all checks and takes next actions: alert teams, reprocess backlog, email source systems — AI decides, not rules.
Automated health checks free the existing team from day-to-day operations. They shift focus to enhancement, advanced perfection, and strategic initiatives — while AI handles the routine with zero fatigue.
SAILOR uses iView features and SURF workflows to decide what to do in each case by itself. Example: detects INV vs MSC variance >2%, runs anomaly analysis, checks operations, confirms if real, triggers SURF workflow, follows up on cases, adds actions — acts like a real employee.
SAILOR acts as the shared SME mind. Supervised GenAI ensures every team member — regardless of experience — produces the same mature, consistent output. Training is embedded. Institutional knowledge is never lost.
C-level executives chat with SAILOR directly — ask for any data, create dashboards in seconds via LLM or no-code iView. Predefined KPIs show tangible function value. ML models enable prediction, so you're preventing loss — not just reporting it.
SAILOR increases productivity and assurance scale with same resources. ML models shift from detection to prediction — proactive savings that management sees as real ROI. The business case writes itself.
Operates as Your RAFM EmployeeNot regular automation — AI automation. SAILOR doesn't follow scripts. It analyzes, decides, and acts using iView 360° and SURF as its tools.
SAILOR monitors iView 360° streams and identifies variance, anomaly, or rule breach automatically
Runs anomaly detection, pattern analysis, checks operational issues, validates against corresponding events
AI determines if real or false positive. Scores severity. Selects the appropriate action based on its analysis — not predefined rules
Triggers SURF workflow, creates case, assigns actions, sends alerts. Acts like a real analyst using iView and SURF
Monitors case progress on SURF, adds needed actions, escalates if SLA breached, closes with full audit trail
Every SAILOR output goes through a supervised validation layer — ensuring you always get the same result, the same maturity, the same quality regardless of who triggers it. All outputs are stored in a structured database, exposed for further analysis, further threads, and continuous learning. This isn't a chatbot — it's a controlled, auditable, enterprise-grade AI agent.
The biggest shift in business assurance history: moving from reactive detection to proactive prevention — using ML models that predict loss before it happens.
Find issues after they happen. Report findings. Investigate. Recover what you can. The damage is already done.
Automated detection with AI decisions. Faster cycles. Autonomous case management. Same team, more coverage.
ML models predict anomalies before they become losses. Proactive prevention. Management sees real ROI. Game changer.
The Autonomous Assurance architecture — SAILOR brain + iView arms + SURF execution — applies to any assurance domain, not just RAFM.
Billing verification, rating validation, usage reconciliation — all automated with AI-driven case management.
Pattern detection, SIM box, bypass fraud, subscription fraud — with ML prediction and autonomous investigation.
Data quality assurance, cleansing automation, migration validation — SAILOR ensures data integrity at scale.
Governance monitoring, risk tracking, compliance validation, PDPL — automated with full audit trails.
Let's discuss how AI can expand your team's capability — not replace it. See the future of business assurance.