Confident
Prioritise the right cases by aligning every submission with your strategic objectives.
TriageScaling Expertise across the Insurance Industry with Agentic AI
Welcome to the Future of Professional Decision Making
Agentiv-x is the leading InsurTech solution
powered by Neuro-Symbolic Technology
Turning expert judgement into reliable recommendations by encoding how insurance professionals apply rules, weigh evidence and resolve uncertainty. Helping decision makers to be more:
Consistent
Deliver evidence-based comparisons across complex policies, risks & coverage.
Risk AssessmentCredible
Strengthen the defensibility of every decision with a clear, auditable reasoning trail.
ComplianceWhere Agentiv-x Supports Insurance Professionals Today
Agentiv-Broking
Make faster placements with clear recommendations that improve quote-to-bind, without the usual back-and-forth.
Coming soon
Agentiv-Underwriting
Select and price risks with greater confidence and consistency, boosting GWP while keeping exposure in check.
Coming soon
Agentiv-Claims
Resolve complex claims faster with fair, transparent decisions your teams can stand behind.
Coming soon
It is Time to Rethink AI in Insurance
AI should scale expert judgement, not replace it. As the protection gap widens and volatility increases, insurance professionals face rising decision volumes, greater complexity, and intensifying scrutiny without a matched increase in experienced decision-makers.
Agentiv-x Scales Your Best-in-Class Expertise to Deliver...
Faster Quote-to-Bind
Accelerate placement by helping teams prioritise the right risks and progress them with confidence — without waiting for perfect submissions or lengthy analysis.
Improved Loss Ratios
Strengthen risk selection and pricing discipline with consistent, evidence-based assessments that surface issues early and deliver consistent underwriting decisions.
Reduced Leakage
Enhance the accuracy and defensibility of claims decisions by applying auditable reasoning that resolves ambiguity, reduces error, and supports fair outcomes.
Conventional AI falls short where decisions matter most. Hallucinations, black-box design and heavy implementation requirements make recommendations difficult to trust, defend and deploy in regulated, mission-critical environments.
Agentiv-x does NOT rely on...
Digital Transformation
Gen AI requires significant investments to be workable in regulated environments. Agentiv-x captures organisational decisions directly, delivering context-rich decision data behind existing systems.
Heavy Oversight
LLMs demand heavy oversight because their reasoning is opaque. Agentiv-x makes decision logic explicit and assessable by design, reducing governance and compliance burden as usage scales.
3rd Party Assurance
Most AI outputs require third-party assurance as reasoning isn't inspectable. Agentiv-x captures expert reasoning directly, making in-house knowledge auditable and interpretable across the business.
Changing the game
AI built for the real world where the data isn't perfect, the context isn't clear, and only consistently applied expert experience and knowledge can navigate the complexity.
The Problem We Solve
When expertise doesn’t scale, risk does.
Protection Gap
A £1.4 trillion protection gap persists because insurers lack expert capacity, with Exec’s citing outdated technology (75%), and siloed operations (74%) as significant barriers to reducing the gap.
Coverage Disputes
£1.2bn+ in COVID business interruption payouts revealed how ambiguous policy wording and inconsistent decision-making can escalate into litigation and regulatory intervention amid widespread policyholder backlash.
Mis-selling
£52bn in PPI compensation revealed poor judgement, weak governance and poor decision traceability. Fragmented judgement led to widespread mis-selling and lasting reputational damage.
Leadership Team
Agentiv-x is built by a team with deep experience helping insurers make better, more consistent decisions in high-stakes environments.
Mark Twigg, CEO
Founder and CEO with 25 years working in insurance and financial services, advising clients through major legal, regulatory, and reputational crises including the Global Financial Crisis, LIBOR, and PPI mis-selling. Having seen first-hand how poor decisions can damage businesses and lives, he became determined to find a better way to help organisations make choices that protect people and unlock progress.
Karim Derrick, CPO
Award-winning product leader who has built technologies that strengthen professional judgement across law, insurance, and education. He is driven by a commitment to purposeful innovation, using AI to improve accountability and reduce systemic risk and social impact of poor decisioning in the industries society relies on most.
Tony Joseph, COO
Tony is Chief Operating Officer at Agentiv-X, responsible for scaling the platform, operations, and delivery of AI-enabled decision systems in high-stakes, regulated environments. He brings deep experience building and leading distributed technology teams, overseeing complex platforms, and translating advanced machine intelligence into reliable, real-world operational outcomes.
Rob Agnew, CSO
Strategy lead with over 10 years' experience applying AI and machine learning in professional advisory settings. He has worked extensively in high-scrutiny environments, where poor decision-making carries real institutional and societal cost. He believes AI should strengthen judgement, acting as a corrective force in the systems society relies on most.
Our Principles
We believe in safe, ethical and purpose driven artificial intelligence.
Transparency First
Every decision must have an audit trail explaining its reasoning.
Professional-in-the-loop
Our technology amplifies expertise, never replaces it.
Accountability by Design
All outputs must be traceable, auditable, and defensible.
Purpose Over Hype
We prioritise real-world outcomes over theoretical perspective.
Continuous Learning
Our platform and people evolve with every decision.
Our Commitment
These principles guide every decision we make at Agentiv-x. We're committed to building AI systems that augment human expertise rather than replace it, ensuring that every recommendation is explainable, defensible, and grounded in real-world outcomes. Our technology serves as a powerful tool for professionals, not a substitute for their judgment.