Accelerator / Luma

Luma

AI-assisted claims intake, enrichment, routing, and reviewer support.

Claims triage and decision support
Prioritize, route, enrich, and resolve claims faster with decision support that respects policy, evidence, and human authority.

Pain

The operating drag.

Claims teams lose time on incomplete files, manual routing, repetitive documentation checks, and reviews that should have been escalated earlier.

Promise

The workflow shift.

Luma turns intake into a governed triage flow, enriching the file, identifying missing evidence, recommending next action, and keeping reviewers in control.

Proof

Reusable pattern, enterprise controls.

The accelerator combines claims operating patterns with policy-aware routing, evidence capture, and human-in-the-loop decision support.

40%

Less manual intake effort

Target outcome calibrated against your workflow data, volume, controls, and reviewer feedback.

2x

Faster routing decisions

Target outcome calibrated against your workflow data, volume, controls, and reviewer feedback.

100%

Reviewer override captured

Target outcome calibrated against your workflow data, volume, controls, and reviewer feedback.

Acceleration pattern

Reusable core, tuned around your operating reality.

Each accelerator ships with a proven workflow spine, then bends around the data sources, controls, reviewers, and edge cases that make your environment different.

  • Core workflow
  • Local data
  • Controls
  • Rollout
Rollout

From fit check to first operating queue.

Accelerators move fastest when the first release is narrow, measurable, and connected to the people who own the work.

STEP 01

Map claim types, queues, policy checks, and escalation rules.

STEP 02

Connect document, claim, and knowledge sources.

STEP 03

Launch triage recommendations beside the existing reviewer process.

STEP 04

Tune routing and evidence prompts from reviewer feedback.

Fit signals

When Luma is worth a closer look.

  • Claims arrive incomplete or misrouted
  • Review teams spend too much time summarizing files
  • Policy checks differ across teams
  • Leaders need cycle-time improvement without losing control

Start with accelerator fit, not a generic demo.

Bring us the workflow, the data sources, and the operating metric. We will show where Lumahelps, what must be customized, and what should stay human-led.

Get Started