Plan information lives in documents
Costs, coverage details, and assumptions are often scattered across files, systems, and review cycles.
Benefits Decision Intelligence
Turn benefits complexity into decisions people can trust.
CHARLES™ connects plan information, employer strategy, employee circumstances, and governed decision logic — so every audience can understand not only the answer, but the reasoning behind it.
Benefits Decision Intelligence
Decision intelligence
Evidence, assumptions, and confidence stay attached to the decision.
The problem
Benefits decisions are connected. The information rarely is.
A plan can look competitive on paper and still be difficult for employees to understand. An employer can make a thoughtful strategy change and still struggle to see how people experience it. A consultant can assemble the analysis and still spend valuable time reconciling documents, assumptions, and audiences.
The missing layer is not more administration. It is decision intelligence.
Each audience needs a different answer
Consultants, employers, and employees see the same benefits decision from different — but connected — perspectives.
The reasoning is hard to trace
A recommendation without its evidence, assumptions, and confidence leaves decision-makers unable to act with conviction.
One connected intelligence layer
From scattered inputs to a decision everyone can understand.
CHARLES brings the information that shapes a benefits decision into a governed path — then presents the result appropriately for each audience.
Benametrics™
Structures the factors used to evaluate benefits strategy and plan fit. Rules and versions remain visible, governed, and reviewable.
A consistent analytical foundation
Clarity Score™
Translates complex comparisons into understandable guidance while keeping alignment and data confidence distinct.
An explanation layer, not a black box
Forward Modeling
Lets teams compare structured scenarios and document assumptions before a strategy becomes a real-world decision.
A governed view of possible directions
Three connected experiences
One decision. The right perspective for each person.
Every role works from the same governed platform, while seeing only the information appropriate to its responsibility.
Consultants
Bring employer context, plan information, governed analysis, and client-ready findings into one engagement view.
- Structured plan-data review
- Scenario comparison
- Explainable deliverables
Employers
Understand participation and decision patterns in aggregate while preserving the privacy boundary around individual inputs.
- Workforce-level visibility
- Aggregate decision signals
- Strategy-to-outcome context
Employees
Compare plans against household preferences in plain language, with assumptions and missing information clearly stated.
- Guided information intake
- Plan-fit explanation
- Visible confidence and unknowns
Illustrative demo · fictional data
Clarity without oversimplification
The recommendation is only useful when the reasoning travels with it.
CHARLES gives employees plain-language comparisons and keeps assumptions, missing information, and confidence visible. It supports an informed benefits decision without giving medical advice or predicting a diagnosis.
Trust is part of the result
Intelligence with guardrails, not a black box.
CHARLES is designed so that privacy, evidence, and governance are not afterthoughts. They shape how every result is produced and presented.
One governed platform
The three decision experiences share a controlled foundation rather than operating as disconnected tools.
Privacy by role
Employers and consultants receive aggregate insights — never an employee’s individual health inputs.
Versioned decision logic
Rules, assumptions, and configuration are traceable. Unvalidated weights cannot silently create a result.
Confidence stays visible
Alignment and data confidence are reported separately, and unavailable values are never presented as zero.
CHARLES™ Insights
Evidence for better benefits decisions.
Clear, source-backed perspectives on decision intelligence, responsible AI, privacy, and interoperability.
Decision intelligence7 min read
What Is Benefits Decision Intelligence?
A practical definition of benefits decision intelligence, how it differs from benefits administration, and why explainability matters.
Read articleBenefits strategy7 min read
Why Benefits Decisions Become Fragmented
Why benefits information, accountability, and employee context become disconnected—and what a governed decision process can change.
Read articleResponsible AI8 min read
How AI Can Support Benefits Decisions Without Giving Medical Advice
A practical boundary for using AI to explain benefits choices without diagnosing, recommending treatment, or hiding the basis for an answer.
Read articleA better benefits decision begins with a connected view
See the strategy, the experience, and the evidence in one place.
Helping consultants, employers, and employees make informed, confident benefits decisions.