RJL Solutions · Richard White
Move AI from a promising demo into everyday operations.
RJL Solutions helps insurers, banks, growing companies and investor-backed firms put AI to work in business processes. We help choose the right workflow, prove it with your data and take it through launch, with risk and compliance requirements designed in from the start. We stay through a structured handover, with clear ownership, documentation and support for the team that will operate it.
The first session is free. Richard replies within three business days.
Three disciplines.
One accountable workflow.
Trusted context
Meaning, quality,
provenance
Tested capability
Models, agents,
evaluation
Bounded access
Identity, permissions,
enforcement
Govern every workflow.
AI ready for real work.
Deployed, measured and accountable.
- McKinsey & CompanyGlobal firm chief data officer
- New York LifeChief data officer
- Federal Reserve Bank of New YorkVice president, head of data
- CitigroupGlobal head of data governance
Where we help
Start from the problem in front of you.
Call when: You need a data and AI leader’s judgment without a full-time hire.
Fractional and advisory leadership →
A senior data and AI leader on a monthly retainer, from strategy through production.
Call when: You have AI ideas, but no agreed first case or owner.
AI workflow review →
Choose the right first workflow and agree the case before any build budget.
Call when: The demo worked, and weeks later it is still not in production.
Pilot to production →
Find what is missing, agree the release evidence and prove a working slice.
Call when: You know the workflow and want it running, with controls.
Agent build →
Build and release an agent for one workflow, with documented ownership, controls and a structured handover.
Call when: Two teams get different numbers from the same AI.
AI-ready data foundation →
Certified data products and shared definitions that people and agents can trust.
Call when: Risk, audit, a customer or an examiner asks for evidence you cannot yet produce.
AI security and governance evidence →
An identity for every agent, labels that travel with the data, and an evidence pack ready for your risk team, auditors and examiners to review.
Built for the evidence bank examiners inspect and the oversight the NAIC bulletin expects of insurers. Governance evidence
Sample agents
What an agent build looks like.
Claims case preparation
Synthetic, read-only example. Assigned cases only; prior-claims history held. Examiners retain decisions.
Underwriting submission intake
Extracts exposures from broker submissions and checks appetite. Underwriters decide terms and price.
Work in progress and billing
Flags unbilled work against agreed thresholds and drafts the billing request. Finance approves.
The real work
Do not bolt AI onto the old job. Redesign the work.
Adding AI to an existing process can save time. Larger, sustained gains often require redesigning the work: which steps change, where people keep judgment and who owns the result.
How we work
Four phases, each ending in a decision.
Phase 1
Frame
2 to 3 weeks
We work with you to choose the workflow and agree the owner, baseline, data and target design. You get a written case before any build budget.
You decide: proceed, reshape or stop.
Phase 2
Prove
4 to 6 weeks
A working slice on your data and controls, tested by real users, with evidence.
You decide: go or no-go.
Phase 3
Build
8 to 16 weeks per release
Certified data, release pipeline, monitoring, tested runbooks, training and redesigned roles.
You decide: release by release.
Phase 4
Operate and transition
Through launch and handover
Your team takes day-to-day ownership while we complete the handover: documentation, training, monitoring, release procedures and an incident exercise. Continued support is available where it adds value.
You decide: what support, if any, continues after handover.
Richard leads the work himself and brings in specialist partners only when you approve each one by name. How we work and buyer questions
About Richard
Advice from someone who has had to make it work.
Richard White has built and run data and AI capabilities inside banks, insurers and a central bank. He has owned the result, reported data risk to risk committees at multiple levels, and worked under active supervision. He was named to Constellation Research’s inaugural AI150.
Next step
Bring one workflow. Leave with a plan.
In a free sixty-minute session, we will examine where the workflow is stuck and whether there is a useful next step. Richard replies within three business days.