
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.
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.
Users leave their core system to find model outputs — breaking flow and killing adoption before a decision is ever made.
Each model deployment becomes a 4–6 month engineering project instead of the 2-day data science task it should be.
Adjusting eligibility rules or display logic requires dev sprints — making experimentation too slow and too costly.
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.
Set business rules for when models run based on workflow context, eligibility, and conditions — no hard-coded logic.
Embedify gathers inputs, calls your model APIs, and enriches results — handling retries, validation, and error states.
Recommendations surface directly inside your core system as a dedicated insights section at the moment of decision.
Users accept recommendations, trigger workflows, or escalate — all tracked for audit and continuous improvement.
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.
Business analysts configure new models using visual tools and expressions—no Java, Python, or deployment pipelines required for iteration.
When fraud scores appear directly in the claims screen (not a separate dashboard), 85% of adjusters act on them vs 30% with external tools.
Auto-routing high-severity claims based on model outputs eliminates manual review steps, reducing time-to-assignment from hours to minutes.
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.
P&C Insurance
Healthcare Payers
Financial Services
Risk Management
Chief Analytics Officers & Data Science Leaders
Underwriting Directors & Claims VPs
Product Owners & Digital Transformation Teams
Business Operations & Process Improvement
Embedify orchestrates business logic, data gathering, and model invocation — not just visualization. It's a system of engagement, not just reporting.
No. After a one-time iFrame embedding of the Embedify Lens component, you can add new models, update displays, and change business rules without any further modifications to your core application code.
Yes. Embedify is model and system agnostic and connects to any API-accessible model (internal, SageMaker, Azure ML, vendor solutions).
Embedify handles retries, fallbacks, and graceful degradation. Users see clear messages, and ops teams get alerts — not silent failures.