Autonomous AI Officer for regulated companies
Your rules. Run at scale. Every time.
Prudara conducts the interviews your regulations require and returns a structured record, traceable to the conversation and the evidence behind it. You define the workflow. Prudara runs it.
The problem
Regulated work is a conversation. Regulators need a record.
Every claim, application and disclosure starts as an unpredictable human conversation. It has to end as something defensible: consistent, evidenced, and reviewable months later by somebody who was not there. Today that gap is closed by people re-asking the same questions, and by files nobody can reconcile once accounts disagree.
The conversation is unrepeatable
Two adjusters ask the same claimant different questions and get different files. Neither is wrong, and neither can be compared with the other.
The record is assembled after the fact
Notes are written from memory once the call has ended. What was actually said stops being distinguishable from what was inferred.
Nobody hears the other side
The claimant is interviewed. The other party and the witnesses usually are not, so contradictions surface at litigation rather than at intake.
Why this matters
The cost of an unreliable record.
$308.6B
Estimated annual cost of insurance fraud in the United States, across all lines.
Coalition Against Insurance Fraud, “The Impact of Insurance Fraud on the U.S. Economy” (2022)
$400–700
Added to the average American family's annual premiums by non-health insurance fraud.
Federal Bureau of Investigation, Insurance Fraud
10.5B hours
Time the American public spends each year responding to federal information collections.
Office of Information and Regulatory Affairs, Information Collection Budget
4.6M
Suspicious activity reports filed by U.S. financial institutions in a single year.
FinCEN, SAR Statistics
The solution
An officer that follows your procedure, not its own judgement.
The questions, the required fields, the evidence to capture and the conditions to escalate are all set by you before the first call. Prudara holds to them on every interview it conducts.
- 01
You define the workflow
Stages, questions, the fields each one must fill, the documents and photographs to capture, and the rules that decide an outcome. Written once, in your language, by the people who own the procedure.
- 02
Prudara conducts the interview
A live video call that settles identity first, by document, liveness and a continuous face check. Prudara then works through your stages, adapting to how a person actually answers without leaving the procedure.
- 03
Non-deterministic output, constrained
Every answer is written into the field your workflow named. Your rules bound what the model may decide. What it may not decide is refused rather than guessed, and marked for a person.
- 04
You get a record, not a transcript
A structured report where every value traces back to the moment it was said and the evidence supporting it, with a fact matrix comparing each account against the others.
The record
Everything an adjuster needs, in the order they need it.
Interviews are grouped by case. The disagreement comes first, because resolving it is the job. Underneath, each account carries its own identity verification, evidence and outcome.
- Fact matrix comparing every account on the case
- Identity verification recorded per interview, not per case
- Photographs and documents filed to your own storage
- Approve, escalate or reject, with the reasoning kept
What is hard about this
Anyone can generate an answer. Very few can defend one.
The difficulty is not the conversation. It is producing something reliable, auditable and operationally scalable out of something inherently unpredictable, then showing eighteen months later exactly where a figure came from.
Reliable
The same workflow produces the same shape of record from every interview, whoever conducted it and however the conversation went.
Auditable
Every field carries its provenance: the utterance, the timestamp, the captured evidence, and the identity checks that were passing at the time.
Scalable
Claimant, other party and witnesses are interviewed in parallel, in their own time and their own language, without adding headcount.
Who this is for
Built for work that has to stand up to review.
Insurance
AI Claims Officer
First notice of loss through to a structured claim file: identity, the account, the vehicle or property, the evidence, and every other party and witness on the same incident.
Banks & Credit Unions
AI Compliance Officer
Onboarding interviews, source-of-funds enquiries and periodic reviews, recorded to the standard an examiner expects.
FinTechs
AI Verification Officer
Enhanced due diligence at the moments a static form cannot settle, without putting a queue in front of a new customer.
Law Firms
AI Intake Officer
Consistent client and witness intake, captured once and comparable across a matter.
Government
AI Notary Officer
Attested declarations and eligibility interviews, conducted at population scale in the applicant's own language.
See it run your workflow.
Bring a procedure you already use. We will configure it and run a live interview against it on the call.
Or email us at hello@prudara.ai