Embed Predictive Insights for Better Decisions

Bring predictive models and advanced analytics into the moment of decision — inside underwriting, claims, and servicing workflows — so teams get real-time, context-sensitive recommendations and automated next actions.

85%+

Hours Saved

95%+

User Adoption

The gap isn't the model. It's the last mile.

Your organization has invested millions in predictive models — but most never reach the people actually making decisions. Underwriters, claims adjusters, and service reps work in core systems while model outputs sit in dashboards they rarely open.

The gap isn’t the model. It’s the last mile.

Insights trapped outside the workflow

Users leave their core system to find model outputs — breaking flow and killing adoption before a decision is ever made.

Months-long integration cycles

Each model deployment becomes a 4–6 month engineering project instead of the 2-day data science task it should be.

Every change becomes an IT project

Adjusting eligibility rules or display logic requires dev sprints — making experimentation too slow and too costly.

Operational risk without visibility

Model failures go undetected, recommendations vary across teams, and compliance becomes impossible to audit.

Embedify operationalizes predictive insights as a repeatable, business-driven workflow — connecting your models directly to the screens where decisions happen. Business teams configure when models run, what data they need, and how results appear, without engineering dependency.

What used to take 4–6 months of custom development now takes days.

Traditional Approach
400+
Hours
  • Months of development
  • Custom code required
  • IT dependency for every change
  • Ongoing maintenance burden
With Embedify
10-20x
Faster
  • Light-expressions configuration
  • Business user friendly
  • Self-service deployment
  • Automatic updates
Configuration interface showing real-time setup

Configure triggers

Set business rules for when models run based on workflow context, eligibility, and conditions — no hard-coded logic.

Orchestrate data and models

Embedify gathers inputs, calls your model APIs, and enriches results — handling retries, validation, and error states.

Deliver results in-context

Recommendations surface directly inside your core system as a dedicated insights section at the moment of decision.

Enable actions and tracking

Users accept recommendations, trigger workflows, or escalate — all tracked for audit and continuous improvement.

10x
Faster model deployment

From concept to production: 2-3 weeks vs 6+ months with traditional integration. Models that would have waited in the backlog are now live and delivering value.

50–80%
Less engineering dependency

Business analysts configure new models using visual tools and expressions—no Java, Python, or deployment pipelines required for iteration.

2–5×
Higher insight adoption

When fraud scores appear directly in the claims screen (not a separate dashboard), 85% of adjusters act on them vs 30% with external tools.

30–60%
Faster triage decisions

Auto-routing high-severity claims based on model outputs eliminates manual review steps, reducing time-to-assignment from hours to minutes.

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Embedify benefits the entire company. It allowed us to become creative in how we configure our system so we could address complex challenges in processing data.

Embedify Employee

Industries

P&C Insurance

Healthcare Payers

Financial Services

Risk Management

Roles

Chief Analytics Officers & Data Science Leaders

Underwriting Directors & Claims VPs

Product Owners & Digital Transformation Teams

Business Operations & Process Improvement

Use Scenarios

  • Fraud detection embedded in claims workflow
  • Severity prediction for triage automation
  • Next-best-action for customer service reps
  • Subrogation likelihood scoring
  • Large-loss propensity alerts
  • Real-time pricing optimization
  • Risk assessment at point of quote

Is This Right For You?

See how Embedify transforms integrations in your industry

Schedule a Demo

Common Questions

How is this different from embedding a Power BI dashboard?
Do we need to change our core system?
Can we use models from any vendor or platform?
What if a model API fails or times out?