Control before impact
Move from documenting AI risk after the event to controlling AI behaviour at the point where decisions are made and actions are triggered.
Explore runtime control →Real-time constitutional control for enterprise AI.
AITru is an enterprise AI SaaS (Software As A Service) company. We help regulated organisations operationalise control, oversight and accountability across their AI estate — from policy and assurance through to runtime enforcement.
OpterAI, our flagship runtime control product, evaluates, challenges, blocks, escalates and records AI activity before unsafe or non-compliant outcomes can materialise.
Runtime controlDecision enforcement before execution.
Audit readyTraceable, explainable, defensible AI actions.
Regulated sectorsBuilt for insurance, finance, healthcare and telecoms.
AI prompt or action requestCaptured from model, agent, workflow or SaaS tool.
InputPolicy and authority evaluationChecked against business rules, limits and governance conditions.
GateOpposition and verificationReasoning is challenged for truthfulness, bias, drift and risk.
ChallengeApprove, block or escalateUnsafe actions are stopped before they enter production.
DecisionAudit trail and evidence recordEvery event is timestamped, traceable and reviewable.
ProofStrategic shiftBefore
From post-incident reporting and static governance evidence.
Operational controlDuring
To policy-based permissioning at machine speed.
The execution problem
AI risk is no longer just a policy problem.
AI systems now generate decisions faster than conventional governance, risk and compliance processes can respond. AITru is designed for the moment where a decision is about to execute and the organisation needs a defensible answer: should this action be allowed to happen?
See the control modelPreventStop harmful decisions before operational damage occurs.
EscalateRoute material decisions to named human authority.
ProvePreserve the evidence needed for audit and review.
ScaleDeploy more AI without surrendering operational control.
Enterprise AI control infrastructure
A practical control layer for high-stakes AI.
OpterAI is AITru’s real-time constitutional control layer. It sits in the execution path of AI systems, evaluates each proposed action, and only permits execution when the action is safe, lawful, aligned and auditable.
Defined authority boundaries
Evaluate AI activity against organisational policy, ethical constraints, operational rules and human authority conditions.
View capabilities →Traceability by design
Create a structured evidence trail showing what was requested, assessed, challenged, approved, blocked or escalated.
Review regulatory outcomes →OpterAI
Always on. Always watching. Always ahead.
OpterAI gives enterprises a command centre for AI decisions across copilots, internal models, large language models, agent networks, SaaS-embedded AI, automated workflows and external model APIs.
The control system for AI decisions
Before an AI action executes, OpterAI evaluates the request against policy, authority limits and governance rules. The decision can be approved, blocked, modified or escalated before risk propagates into the business.
- Validates AI decisions at the moment of execution.
- Blocks or escalates unsafe, non-compliant or unauthorised actions.
- Supports guided prompt compliance to help users remain productive.
- Records every interaction with operational traceability.
ATLAS-based control architecture
OpterAI operates as part of AITru’s constitutional governance architecture, translating rules, challenge, verification and evidence into real-time operational control.
Input capturePrompt, model, agent, workflow
Harm gateInitial safety and authority screening
Opposition networkChallenge, contradiction and reasoning review
TruthOps verificationValidation, provenance and integrity checks
Human authority controlApproval, escalation or stop-power
Audit evidenceTimestamped, traceable decision record
See it in action
OpterAI at the moment of execution.
Two short walkthroughs showing how OpterAI inspects, intercepts and records AI activity in real time — before it can reach a live system.
Always watching. Inspected. Decided. Logged.
Every AI action flows through the OpterAI execution gate. Each event is evaluated against your dynamic policy and audited — breaches are held for human authority before they execute.
A confidential ChatGPT prompt, blocked in real time.
An employee pastes confidential client data into ChatGPT. OpterAI inspects the prompt, blocks it against corporate policy before any data leaves the enterprise, records the attempt, and offers a compliant alternative.
Core capabilities
Enterprise AI control without slowing the business.
The objective is not to produce more governance paperwork. The objective is to ensure AI decisions cannot execute unless they satisfy defined organisational, legal, ethical and operational controls.
1
Real-time decision enforcement
Validate every AI action before execution and intervene when the request violates policy, ethics or authority boundaries.
2
Universal AI coverage
Govern AI activity across internal models, LLM copilots, third-party SaaS tools, automation platforms and external APIs.
3
Runtime failure prevention
Stop hallucinations, misaligned optimisation, rogue execution and unauthorised actions before they cascade.
4
Complete audit trail
Capture the prompt, initiator, model, intended action, policy assessment, escalation path and final outcome.
5
Human authority enforcement
Ensure material decisions remain gated by defined human authority rather than self-authorised automation.
6
Prompt compliance guidance
Suggest safer or more compliant prompts where a user’s original request risks breaching policy.
7
Truth verification
Challenge reasoning and validate information to reduce hallucination, misinformation and synthetic contamination risk.
8
Board and auditor visibility
Give senior leaders, risk teams and auditors a live operational view of AI usage and control evidence.
Why runtime control matters
From compliance reporting to compliance enforcement.
Traditional governance systems document policies and risk. OpterAI is designed to control whether AI actions are allowed to proceed in the first place.
Post-incident oversight
- Compliance validated after execution.
- Limited visibility into AI reasoning and intent.
- Fragmented or incomplete decision evidence.
- Regulatory exposure discovered after damage.
- Human oversight too slow for machine-speed action.
Pre-execution permissioning
- Decisions blocked when they breach policy or authority.
- Full decision lineage and operational proof.
- Continuous audit readiness across AI estates.
- Human escalation before irreversible action.
- AI operates within enforceable control boundaries.
Markets we serve
Built for industries where AI decisions carry consequences.
OpterAI is engineered for environments where decisions affect customers, capital, patients, networks, regulation, reputation and legal accountability.
Insurance & reinsurance
Real-time control for underwriting, claims, pricing, tail-risk assessment and AI-driven risk decisions.
Banking & financial services
Govern credit, trading, compliance and customer decisions with auditability and authority control.
Healthcare & pharmaceuticals
Support patient safety, clinical accuracy and accountability across AI-assisted clinical decisions, drug discovery, clinical trial design, pharmacovigilance, regulatory submissions and GxP-compliant manufacturing.
Telecommunications
Govern network, automation and customer-facing AI with real-time reliability and accountability.
Regulatory outcomes
Designed to support explainability, traceability and human oversight.
AITru does not replace compliance frameworks. It helps make them operational by translating governance expectations into executable controls — mapped to the major global AI standards and sector-specific regulation.
EU AI Act readiness
Supports transparency, human oversight, accuracy, risk management and accountable control of high-impact AI activity under the EU AI Act.
NIST AI Risk Management Framework
Operationalises the NIST AI RMF functions — Govern, Map, Measure and Manage — with real-time controls, evidence and continuous monitoring.
ISO/IEC 42001 alignment
Helps establish, implement, maintain and continually improve an AI management system in line with ISO/IEC 42001 control objectives.
UK AI principles & sector regulators
Supports the UK’s pro-innovation AI principles and regulator expectations across the FCA, PRA, ICO, Ofcom and MHRA.
Model governance and resilience
Supports expectations around explainability, accountability, model governance, data integrity and operational resilience (SR 11-7, DORA, PRA SS1/23).
Pharmaceutical AI regulation
Operationalises FDA AI/ML guidance, EMA’s reflection paper on AI in the medicinal product lifecycle, MHRA AI Airlock, GxP standards (GMP, GLP, GCP, GVP), 21 CFR Part 11, EU Annex 11, GAMP 5 computer system validation and ALCOA+ data integrity — across drug discovery, clinical trials, pharmacovigilance and manufacturing.
OECD, G7 Hiroshima & Singapore Model AI
Provides practical evidence for validity, reliability, auditability, fairness, human-centric governance and responsible deployment across multiple international frameworks.
Leadership
Enterprise transformation, AI governance and production engineering.
AITru’s management team has held senior positions with some of the largest companies in the world, as well as being founders of several companies. The team combines senior enterprise transformation, insurance and reinsurance software experience, pharmaceutical industry experience, AI governance research, and production-grade technology architecture.
SG
Shivraj Gohil
CEO
Senior transformation and change leader who has held senior positions with some of the largest companies in the world and is the founder of several companies, with experience delivering complex technology, operational and organisational transformation for global enterprises.
SB
Steve Butler
Chief AI Governance Officer
Co-founder and AI governance lead. Steve has consulted and held leadership positions for some of the world’s most reputable companies. Successful author of nine AI books, lectures at universities around the world, and is the creator of the Citadel control framework — bridging enterprise change, complexity science and emerging AI control standards.
BH
Brian Heale
COO
Expert in software and sales and marketing with a successful track record in financial services, including extensive global insurance, reinsurance and enterprise software experience across actuarial, accounting and regulatory programmes.
KD
Krum Dimitrov
CTO
Has held senior leadership positions with well-known, globally recognised software companies. Leads our software architecture and development practice, focused on scalable, secure, AI-enabled enterprise platforms, cloud infrastructure and auditability.
Latest news and white papers
Resources for enterprise AI control.
Explore AITru’s current papers and product material on OpterAI, reinsurance, AI runtime constitutional control and core differentiators.
OpterAI overview
A concise two-page overview of OpterAI and its real-time AI control proposition.
Request paper →Modelling tail risk in reinsurance
Examines tail risk, accumulated uncertainty and how OpterAI can help control AI-driven risk.
Request paper →OpterAI and AI
Outlines the case for AI runtime constitutional control in reinsurance and regulated enterprise environments.
Request paper →Top 10 OpterAI differentiators
Explains the key differences between OpterAI and conventional AI governance or monitoring approaches.
Request paper →Get in touch
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