Underwriter firstAI trainingAI strategyAI training

Trusted AI leadership for underwriting transformation.

House of Algorithms works with insurance and reinsurance leaders on AI strategy, enablement and production systems.

Book a 30-minute call

or email ahmed@algo01house.io

Hundreds of insurance specialists trained · from MGAs to Lloyd's syndicates and global reinsurers

The starting point

The gap is not between you and the technology. It is between capability and adoption.

The adoption gap

It widens with every model release, not with your budget - that is margin left on the table.

What we hear in almost every first conversation

“We bought the licences. Nothing shows up in the loss ratio.”
“Everyone talks about AI agents. We still rate like it’s 2019.”
“On AI, everyone here is waiting for somebody else.”
“The submission still gets read by hand.”

Our philosophy

We are building a future where AI makes underwriters more capable and more accountable.

AI Training

From AI-curious to AI-capable.

Hands-on and strategic. Three tracks - one for every level of your organisation - built and delivered by a practitioner who ships AI inside the London Market. Not tool training: your people build real agentic workflows on their own submissions, treaties and claims data.

AI for Executives

For boards, CUOs and heads of portfolio. Half a day to two days. The judgment to make AI investment decisions, evaluate opportunities, set governance - and lead adoption with confidence.

AI Super User

For underwriting and broking teams. Two-day intensive that turns underwriters, actuaries and analysts into power users who redesign their daily work with AI - and ship one agentic workflow of their own.

AI Builder

For technical and data teams. Hands-on programme for building production systems - from architecture to deployment to evaluation, with the guardrails that make them auditable.

Talk about enablement

Individuals and small teams: start with the five-week cohort.

AI Strategy

From scattered AI experiments to a strategy that holds - in five steps we call CLIMB.

Most carriers and brokers already use AI - uncoordinated: single people, single tools, no shared picture. Pilots start from gut feeling and fizzle out because nobody owns them. Leadership needs a basis for decisions, not a list of vendors. CLIMB delivers it in a few weeks: the use cases come from interviews with your own underwriters, the priorities are decided in three workshops with your core team - in the room, not afterwards by the consultant.

CClarify
Kickoff: goals, people, frame. Board and timeline stand.
LListen
Interviews and a questionnaire along the five pillars. The knowledge comes from your own underwriters.
IIdentify
Use cases derived, clustered and condensed, AI-assisted. A sorted field of candidates.
MMake the call
Two workshops: urgency and complexity pick the top 5 use cases; impact, effort and real commitment pick the top 3.
BBuild the roadmap
Five pillars, measures, sequence. Agreed in workshop three, closed with an implementation talk.

3: workshops with your core team
5: pillars: skills, tools, governance, product, horizon
Top 3: solution ideas with effort, impact and next steps
1: roadmap: sequence, owners, 12-18 months

The CLIMB method

Five steps from scattered experiments to an adopted roadmap - decided with your team, not for it.

Talk about an assessment

Leadership

Founded by Ahmed Al Mubarak.

Founder, House of Algorithms · Lloyd's Lab mentor · Howden Re

Ahmed Al Mubarak has spent his career inside reinsurance and the London Market, today at Howden Re and as Lloyd's of London's Lab mentor and tech advisor to agentic-AI startups. Formerly Allianz & HSBC.

He has trained hundreds of insurance specialists and builds extraction pipelines, cat-loss prediction layers and multi-agent guards for real underwriting decisions - not demos.

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