



The AI Control Gap is an Existential Risk
The Black Box era is over. New regulations, including the EU AI Act, and the rapid adoption of agentic AI have created a high-risk combination of liability exposure, hallucinated outputs, and IP leakage. Reactive auditing happens too late. What is required now is proactive prevention before AI decisions execute The Liability Trap New regulations ( such as the EU AI Act) demand you explain why an AI made a decision. "The model said so" is no longer an answer; it is a legal liability. You face fines and reputational damage for opaque decision-making. The Shadow Risk Generative AI creates convincing fiction. In high-stakes environments such as finance, healthcare, a single "hallucination" or false positive can trigger catastrophic operational failure. The Hallucination Are your smartest employees pasting your sensitive data (your "secret sauce") into public models to accelerate work? You are leaking data sovereignty with every prompt? SENTINEL is the non-negotiable AI Execution Control Platform upon which trusted AI execution depends
SENTINEL Enforces Debate
SENTINEL performs the reasoning before a decision is allowed to execute. Every AI output is internally challenged, contradicted, and verified in real time. If it cannot defend its reasoning, it does not act Data Entered into the System Harm Gate Initial safety screening Opposition Network Mandatory internal debate TruthOps Verification Multi-layer validation Validated Output Defensible decision Stay ahead - Stay in control!
The SENTINEL Advantage
Human Authority, Enforced at Machine Speed Prevention, Not Reaction SENTINEL prevents unsafe or indefensible AI decisions from executing in the first place Real-time Monitoring Spot issues the moment they appear Predictive Intelligence Identify risks before they escalate Automated Alerts No noise, only what matters Compliance-Ready Built to support regulatory and governance needs Actionable Dashboards See the full picture at a glance SENTINEL goes beyond protection. It gives your organisation the freedom to use AI without losing innovation and control Faster decisions Reduced operational risk Lower manual oversight Higher trust and transparency SENTINEL does not replace human judgment - It ensures AI systems cannot act outside it
SENTINEL & CITADEL
SENTINEL is built on CITADEL, our neural architecture that operates inside the AI execution path While most governance tools review results retrospectively, SENTINEL controls the reasoning process itself. Each AI decision is challenged, tested, and verified internally before it is permitted to execute. Input Data enters the system Harm Gate Initial safety screening Opposition Network Mandatory internal debate TruthOps Verification Multi-layer validation Validated Output Defensible decision making Let SENTINEL enforce the boundaries, so your teams can focus on building, innovating, and growing
Markets We Serve
Our focus is on those sectors where AI operates in complex, regulated environments and where the integrity of every decision directly affects financial, legal, and operational outcomes Banking & Financial Services Zero-Trust Architecture for the AI Age. In environments driven by algorithmic trading, automated underwriting, and real-time credit decisions, AI hallucination is not an inconvenience. It is a financial and regulatory liability. SENTINEL transforms compliance from a reactive reporting exercise into a proactive system capability. By acting as an epistemic firewall, SENTINEL allows teams to benefit from generative AI while ensuring sensitive client data, proprietary models, and financial IP never leave the institutional trust boundary. Shadow AI is contained, regulatory drift is prevented, and auditability is enforced directly in code, not reconstructed after the fact. Start-ups & High-Growth Ventures The "Virtual Co-Founder" for Execution Excellence SENTINEL acts as an execution compass and AI mentor, providing the governance discipline of a mature enterprise without the weight of a traditional PMO. By enforcing constitutional integrity from day one, SENTINEL creates a defensible audit trail that demonstrates operational maturity to investors, partners, and acquirers. Governance becomes an accelerant rather than a brake, turning trust and discipline into a competitive advantage instead of a future remediation cost. Healthcare & Life Sciences First, Do No Harm. Second, Verify Everything When AI influences patient outcomes, probabilistic confidence is not enough. SENTINEL introduces structural safeguards through its Harm Prevention Gate and TruthOps Protocol, designed to neutralise false positives, unchecked assumptions, and overconfident outputs. Every diagnostic support recommendation and operational decision is traceable to verified sources and subjected to mandatory internal challenge before execution. The result is an architecture that prioritises patient safety, clinical accountability, and data sovereignty without sacrificing innovation. Telcos - Governing Complexity at Scale As telecom operators move toward autonomous networks and AI-driven customer operations, the governance gap becomes a systemic risk. SENTINEL delivers Execution Control as a Service, monitoring, challenging, and verifying agentic decisions in real time. By converting vast, unstructured data flows into verifiable intelligence, SENTINEL ensures automated systems remain aligned with corporate strategy, regulatory obligations, and service integrity, even as scale and complexity increase.
Reinsurance
Solving the "Un-Modellable" Risk Reinsurance is one of our core focus markets. The sector is operating in a state of polycrisis: climate change has broken historical loss models, secondary perils are accelerating, and volatility is becoming structural rather than cyclical. In this environment, reliance on opaque, black-box AI is no longer a competitive risk. It is an existential one. SENTINEL provides the AI constitutional control infrastructure the industry now needs. By challenging AI reasoning at runtime, it replaces “trust me” with “prove it.” Every decision is traceable, verifiable, and defensible, delivering the auditability demanded by regulations such as the EU AI Act and helping restore confidence among regulators, cedents, and capital markets. The Pain In an era of polycrisis, reactive compliance is no longer viable. When historical models no longer hold true, risk pricing depends on decisions that must be provable at the moment they are made. Models are breaking. Sensitive data is leaking. Liability is expanding faster than it can be insured. For Risk Management: Proof, Not Projections Demonstrate to regulators and capital markets that your AI did not speculate. It reasoned. SENTINEL enforces mandatory internal challenge, exposing the logic and evidence behind every model-driven decision. Regulatory Compliance: Built-in, Not Bolt-On Do not retrofit compliance after the fact. SENTINEL embeds regulatory control directly into AI execution, generating forensic-grade audit trails that prove transparency and accountability by design, including alignment with the EU AI Act. SENTINEL verifies reality. While others insure outcomes, we prevent hallucinated decisions from executing. The Liability Trap When models fail, data leaks, and liability compounds, AI risk becomes unmanageable When an AI system cannot explain a claim denial or pricing decision, the liability sits with the organisation, not the model
Banking - SENTINEL in Action
Bank - Preventing Regulatory Disaster in Credit A tier-one bank deploys a black-box AI model to automate small business loan approvals. The model denies credit to a minority-owned business in a specific postcode. On investigation, the decision is traced to a proxy variable, location, unintentionally correlated with protected characteristics, creating a hidden fair lending violation. The reasoning behind the decision cannot be demonstrated or challenged at the time it was made, the bank faces regulatory scrutiny, legal exposure, and reputational damage. The Scan (Harm Prevention) SENTINEL flags the decision as "High Compliance Risk" due to protected class variables being inadvertently used in the decision-making process. The Opposition Compliance intervention triggered - This denial is influenced by geographic weighting correlated with prohibited bias. Pause execution and re-run the decision without geo-based inputs The Verification The VERIFY protocol embedded in SENTINEL traces the risk score to its underlying data and reasoning path, revealing the flaw in the model’s decision logic before execution. The Outcome: Crisis Averted Without SENTINEL Financial ExposureRegulatory fines, remediation costs, and legal fees escalate rapidly. Reputational DamageLoss of customer trust and long-term brand erosion. Regulatory EscalationIncreased scrutiny, mandated reviews, and ongoing supervisory oversight. Legal RiskClass actions, enforcement actions, and costly settlements. With SENTINEL Bias Intercepted EarlyHidden bias is identified and challenged before decisions execute. Controlled InterventionDecisions can be paused, reviewed, and corrected in real time. Defensible AuditabilityClear, immutable decision records demonstrate regulatory compliance. Resilient ModelsContinuous challenge strengthens systems against future bias and drift. SENTINEL turns regulatory exposure into controlled execution by identifying and mitigating risk before AI decisions are allowed to run.
Why you Should Choose AITru?
AITru Controls AI Where Risk Is Created Inside the Execution Path We operate directly within the AI execution path, controlling decisions before they become actions. SENTINEL permits or prevents AI decisions based on their defensibility, unlike other tools that react after the fact. We Are Not a GRC System! We enforce constitutional control within AI systems, rather than managing policies or documenting outcomes like traditional GRC systems. Our control is embedded in code, preventing risk at its source. Built for Environments Where Failure Is Not Abstract Designed for regulated, high-stakes industries where AI decisions carry significant liability. AITru focuses on decision defensibility, loss prevention, and accountability at scale. Designed for Autonomous and Agentic AI We govern autonomous and agentic AI behavior in real time, constraining drift and ensuring control without human review. It provides critical oversight for AI systems that act independently. Human Authority, Enforced at Machine Speed We embed human intent and risk tolerance directly into AI execution. Decisions are made at machine speed, but always within human-defined boundaries, ensuring trust is enforced. Built by People Who Understand Risk, Not Just Models We built a team with deep expertise in enterprise risk, regulated markets, and real-world liability. SENTINEL reflects the operational realities faced by executives accountable for AI-driven decisions.
AITru Management Team
Shivraj Gohil (CEO) Shivraj Gohil is a senior enterprise transformation leader with over 20 years of experience delivering large-scale technology, operating model, and organisational change across highly regulated, mission-critical environments. He has held senior and board-level roles working with global institutions including Shell, IBM, Microsoft, KPMG, Barclays, HSBC, Credit Suisse, Pacific Life Re, Ageas, and the European Central Bank. His career spans strategy alignment, operating model modernisation, M&A-driven transformation, and the successful build-out of new organisations from inception. As Co-Founder and CEO of AITru Solutions, Shivraj brings together deep enterprise execution experience and commercial leadership to address one of the market’s most pressing challenges: enabling organisations to scale AI safely, defensibly, and with constitutional integrity, while delivering measurable business outcomes. Steve Butler Chief Artificial Intelligence Governance Officer (CAIGO) Steve Butler is a globally recognised authority on enterprise governance, complexity, and AI decision control. He is Co-Founder and CAIGO of AITru Solutions, where he leads innovation, research, and the governance architecture underpinning SENTINEL. With decades of experience stabilising complex delivery environments, Steve has advised and led transformation programmes for organisations including HSBC, Credit Suisse, Dyson, the Financial Times, Allen & Overy, the FCA, Quilter, and Ultra Electronics. A published author and frequent keynote speaker, Steve’s work focuses on moving AI beyond reactive automation into self-questioning, constitutionally governed systems. At AITru, he is responsible for ensuring AI decisions are not just fast, but provable, auditable, and resilient against drift, hallucination, and systemic failure. Brian Heale (COO) Brian Heale is a senior executive with over 40 years of experience in the global insurance, reinsurance, and insurance software markets. He has held leadership and consulting roles across insurers, reinsurers, and technology providers, including EY, Oracle, Moody’s, Towers Watson, and Sapiens. He specialises in large-scale insurance system transformations, actuarial and financial platforms, and regulatory change programmes including Solvency II and IFRS 17. His career spans product strategy, go-to-market execution, enterprise sales, and complex global implementations. As COO of AITru and a founding contributor to EGaaS, Brian brings deep market credibility and execution discipline to the adoption of Constitutional. Krum Dimitrov Chief Technology Officer (CTO) Krum Dimitrov is a senior technology leader and systems architect responsible for the design and delivery of SENTINEL’s production-grade AI governance platform. With deep expertise in distributed systems, cloud-native architecture, data engineering, DevOps, and multi-agent AI, Krum leads the end-to-end technical vision, from secure data ingestion and reasoning pipelines to immutable auditability and truth-by-design outputs. As CTO, he translates AITru’s constitutional governance philosophy into scalable, secure, and regulator-ready systems. His work enables clients in highly regulated sectors, including banking, insurance, healthcare, telco, and reinsurance, to deploy AI with confidence, transparency, and liability-safe control.