Confidence
Screens submissions, flags what matters and directs expert attention.
Scaling Expertise across the Insurance Industry with Agentic AI
Driving Growth through Fast, Reliable and Defensible Decisions
Agentiv-x is the leading InsurTech solution
powered by Neuro-Symbolic Technology.
Developed with the University of Manchester, Agentiv-x turns case files into evidence-linked recommendations, citing only the documents provided with a clear rationale you can inspect.
Improving Professional Judgement
Consistency
Delivers evidence-based comparisons across complex risks, policies & coverage.
Credibility
Strengthens the defensibility of every decision with a clear, auditable reasoning trail.
Where 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
Time to Rethink AI in Insurance
Existing AI falls short when decisions matter most, leaving outputs hard to trust, defend, and deploy in regulated, high-stakes workflows.
Heavy Transformation
Insurance teams need more than a generic copilot. Extracting value from AI usually requires major data preparation, integration work, and guardrails just to be deployable.
Hallucinations
Even after rollout, outputs can be inconsistent. Models can miss key details, misread documents, or generate confident statements that don’t stand up to review.
Black-Box
Regardless of accuracy, black-box reasoning makes outputs hard to defend, driving governance overheads and risk exposure under dispute or scrutiny.
Changing the game
Built for real insurance conditions where AI copilots break: conflicting information, ambiguous wording, messy submissions.
A Better Solution
Agentiv-x captures how insurance experts weigh evidence and handle ambiguity, delivering recommendations that are documented, repeatable, and explainable under challenge.
Faster Quote-to-Bind
Accelerate placement by surfacing critical signals and directing expert attention enabling decisive action 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.
Problem We Solve
The job is getting harder: higher workloads, more complex risk, and greater scrutiny. When expertise can’t scale fast enough, risk does.
Protection Gap
A £1.4 trillion protection gap persists as insurers lack expert capacity, with industry Exec’s citing outdated technology, and siloed operations as significant barriers.
Coverage Disputes
£1.2bn+ in COVID business interruption payouts revealed how ambiguous policy wording and inconsistent decision-making can escalate result in significant losses.
Mis-selling
£52bn in PPI compensation revealed how poor judgement and weak governance can lead to widespread mis-selling and lasting reputational damage.
Leadership Team
Agentiv-x is shaped by deep experience working side-by-side with insurers to improve decision quality and consistency in demanding environments.
Mark Twigg, CEO
Twice successfully exited Founder and CEO with 25 years' experience 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 how poor decisions can harm businesses and lives, he's driven 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 that recognises the innate value of human expertise and the need to leverage it.
Evidential AI
Recommendations are documented in case-file citations, not back-filled rationales.
AI-in-the-loop
Professional knowledge and experience is scaled, not replaced.
Accountable Decisions
Decisions remain expert-owned, through controllable, governed decision logic.
Real-world Performance
Performance is measured through tangible business results not abstract comparisons.
Decision Trail
Decisions are documented in an evidence-linked audit-trail not a chatbot history.
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.