AY-2023 GL development refreshed 06:14 UTC▲LDF drift +0.42 pt flagged on Motor BI, tail 84-ult▲Reserve range re-estimated · 2 340 simulations · reproducible run #8841▲Severity trend assumption challenged — evidence memo drafted▲Credibility weight Z = 0.63 on new cyber book▲Quarter-close exhibit pack ready for sign-off▲AY-2023 GL development refreshed 06:14 UTC▲LDF drift +0.42 pt flagged on Motor BI, tail 84-ult▲Reserve range re-estimated · 2 340 simulations · reproducible run #8841▲Severity trend assumption challenged — evidence memo drafted▲Credibility weight Z = 0.63 on new cyber book▲Quarter-close exhibit pack ready for sign-off▲
Built for the profession where “show your work” is the law.
Glass-box outputsevery figure traceable to method, assumption, and data lineage
Reproducible runssame inputs, same answer — years later, in front of a regulator
Actuary holds the penAI drafts and evidences; a credentialed human signs
The story
Insurance was the first data science.
Three hundred years before anyone said “machine learning,” actuaries were building predictive models — pricing the unknowable, putting numbers on the future, and standing behind those numbers with their names. It is the most mathematically serious profession in business.
And it runs on the least serious workflow in business. Ask any actuary how a reserving cycle is actually spent: weeks assembling and reconciling data, days coaxing it through software designed when “the cloud” meant weather. The judgment — the part only they can do — gets whatever hours are left before the deadline.
Then the answer ships as a PDF, and the world it described has already moved.
The constraint was never actuarial talent. It was the interface between the actuary and the answer.
Fig. 01 — The ratio is backwards: most of the cycle goes to moving numbers, a fraction to understanding them.
Cyber events don’t wait for the quarter to close. Climate volatility doesn’t respect the annual pricing study. Social inflation doesn’t pause while the triangles refresh. The industry that invented modeling the future is reporting on it in arrears.
01Peril moved to the tail
Cat, cyber, and casualty shocks arrive between reviews — exactly where cycle-based reserving is blind.
02Exposure compounds daily
Books grow, mix shifts, treaties attach. The portfolio you priced is never the portfolio you hold.
03New risks, thin history
Renewables, AI liability, parametrics — the future keeps writing lines your triangles have never seen.
The platform
A colleague, not a console.
You ask the question the way you’d ask the sharpest actuary you know. Credence agents assemble the data, run the methods, stress the assumptions — and return the answer with every step shown.
01
Ask in plain language
Reserving, pricing, and monitoring queries — no batch jobs, no export-import ballet.
02
Agents do the janitorial work
Data assembly, reconciliation, method runs, and sensitivity sweeps happen in minutes, not weeks.
03
Every answer shows its work
Methods, factors, assumptions, and lineage attached to every figure. A glass box, never a black one.
Reserving, pricing, and monitoring that refresh as data lands — not when the calendar says so. The quarter becomes a checkpoint, not a discovery.
always-on development monitoring
assumption-drift alerts
on-demand reserve ranges
II
A colleague, not a console
Plain-language questions in, actuarial-grade answers out. Agents do the data janitorial work and draft the memo; your team does the thinking.
conversational workspace
agentic data preparation
first-draft regulatory exhibits
III
Glass box by design
Every number traceable to a method, an assumption, and a data lineage — built for the profession where defensibility is not optional.
full audit trail on every run
reproducible to the checksum
regulator-ready documentation
02:47 local time
Your book doesn’t sleep. Neither does your actuarial platform.
Why “Credence”
Named for the oldest idea in modern actuarial science.
Pc=Z·X+(1−Z)·μ
Z — credibility factor · X — your own experience · μ — the collective mean
Credibility theory is the century-old actuarial formula for blending your own experience with the weight of the world’s evidence. That is not just our name — it is our operating principle.
The machine brings scale, memory, and speed. The actuary brings judgment, context, and accountability. Credence is the weighting between them — and the actuary always holds the pen.
Request a demo
See your book the way risk sees it.
A 30-minute working session on your lines of business — reserving, pricing, or risk monitoring. Bring a hard question.