Submissions rarely arrive in one neat package. More often, they trickle in through a series of emails over hours or even days. A missing ACORD form here. A supplemental schedule there. The result is a fractured process where critical submission data gets buried in inboxes, duplicate records are created, and teams spend hours hunting for the information they need just to reach a āclear to quoteā decision.
This isnāt just inefficient. Itās risky. Missed documents can lead to quoting the wrong coverage, binding incomplete information, or overlooking high-opportunity business.
Thatās exactly the problem Indico solves.
Automatically connect every submission detail
Indicoās Agentic AI detects, classifies, and connects incoming emails and attachments to the correct submission record, even when the data arrives in multiple parts over time.
If a broker sends an updated loss run two days after the initial quote request, Indico recognizes it, flags it as a new detail, and merges it into the original submission record. The update is surfaced immediately. The file stays complete and accurate. Underwriters are notified, and they can stay focused on evaluating the risk, not reconciling documents.
Eliminate manual effort across the submission lifecycle
With Indico, underwriting operations gain:
- Inbox visibility: No more wasted time sorting scattered emails and attachments
- Faster triage and clearance: Submissions can be worked as soon as theyāre complete
- Fewer errors and handoffs: Data remains centralized and accurate
- More confident decisions: Underwriters can focus on evaluating risk, not assembling information
Built for how insurance submissions actually work
Most automation tools expect clean formats and structured data. Thatās not how commercial submissions come in. Indico is different. Our Agentic Decisioning Platform handles the real-world complexity of underwriting:
- Detects updates across emails and file types
- Links new data to the right submission record
- Highlights whatās changed for full transparency
- Tracks every data point for audit and compliance
Go live fast and scale without friction
Indico includes out-of-the-box agents trained on your lines of business and document types. Thereās no model training or IT lift required. You can configure workflows without code, replicate what works, and expand without starting from scratch.
This means:
- Faster time to value
- Consistent performance across teams and region
- Simplified rollout with no operational disruption
Keep submissions connected and underwriters focused
Your underwriters werenāt hired to chase emails. They were hired to evaluate risk. Indico keeps submission files complete, connected, and up to date, so underwriters can focus on what matters ā making informed, fast, and confident decisions.
FAQS
What measurable production outcomes has Indico demonstrated for underwriting submission processing, including SOV and loss run handling, that inform timeātoāquote and accuracy expectations?
Indico reports quantifiable production outcomes demonstrating substantial reductions in processing time and high production accuracy across underwriting workflows. Reported metrics include large reductions in submission processing time, subā30 second processing for SOV and loss runs, and high production success and extraction accuracy rates.
Indico publishes production case metrics that can be used as operational benchmarks, including an 80 percent reduction in submission processing time, cited in a customer case study. For specialty underwriting workflows Indico documents SOV and loss run processing in under 30 seconds with a reported 95 percent extraction accuracy in a production deployment where human intervention was eliminated for the targeted use case. Platform pages report throughput and capacity gains framed as a 4x increase in capacity and processing speed improvements up to 85 percent faster for selected workflows. These operational results are supported by purpose built intake, table extraction, and normalization features that preserve Excel row and column fidelity for complex schedules, a capability cited as transformational for underwriting operations that rely on tabular schedules. Reported business outcomes include measurable premium growth tied to processing efficiency, with example figures such as $30 million in quarterly premium growth called out on platform materials. Use of these vendor published metrics supports construction of acceptance criteria for pilots, including target precision and recall thresholds, p95 processing latency targets, and modeled headcount or timeātoāquote gains that mirror the documented customer successes. Operational leaders can therefore set concrete KPI targets for POCs based on these production references and the documented performance claims.
How does Indico integrate with core underwriting systems such as Guidewire PolicyCenter and common enterprise connectors to automate endātoāend intake and population of policy or claim records?
Indico provides out of the box connectors for common enterprise systems and a Guidewire accelerator that automates population of PolicyCenter and ClaimCenter fields from submissions. Connectors include Outlook, SharePoint, and Salesforce, and Guidewire integrations are available via an accelerator and Guidewire Marketplace listing.
Indico lists native connectors for Outlook, SharePoint, and Salesforce to ingest broker emails, attachments, and portal submissions directly into the intake pipeline, enabling automated creation of submissions from email flows and automated triage actions. Indico has developed a Ready for Guidewire accelerator and a Guidewire Cloud integration that maps extracted submission data into Guidewire PolicyCenter and ClaimCenter, enabling automated field population and downstream workflow handoffs. The platform positions these integrations as part of an Agentic Decisioning platform, in which scored and normalized submission data triggers routing, clearance, and next best action recommendations directly into core systems to reduce manual keying and routing latency. Integration materials describe accelerators and mapping templates that support rapid deployment into Guidewire environments and claim support for Guidewire Marketplace availability, which provides a standardized pathway for enterprise deployment and testing. Technical documentation and connector listings on the platform pages indicate RESTful API endpoints and webhook capabilities to support event driven updates into underwriting systems, enabling synchronous or asynchronous population patterns per enterprise architecture needs. These integration capabilities permit automation of end to end submission intake, extraction, normalization, scoring, and record population into policy and claim systems, thereby reducing time to actionable quotes and improving data consistency across systems.
How does Indico perform extraction, normalization and table handling for underwriting fields, and what mechanisms exist for ongoing model improvement and humanāinātheāloop corrections?
Indico extracts insurance specific fields with normalization, preserves complex table fidelity including Excel native ingestion, and applies structured human in the loop workflows for rapid model improvement. The platform offers out-of-the-box agents and Staggered Loop Training to accelerate production accuracy gains.
Indico provides an array of extraction agents and insurance specific normalization logic that capture underwriting fields such as total insured value, occupancy, construction type, deductibles and claims history, and then normalize those fields for downstream systems using standardized vocabularies and validation rules. The platform supports native Excel ingestion so that row and column fidelity for complex schedules of values is preserved, which is critical for accurate premium and exposure calculations, and includes table extraction capabilities specifically positioned for underwriting operations. Indico publishes a library of hundreds of pre trained models and accelerators that reduce labeling overhead and speed deployment for common insurance document types, and Indico introduced enhanced human in the loop tooling and model training workflows. The platform features Staggered Loop Training, a machine teaching approach that integrates human corrections into model updates in a staged manner, accelerating precision improvements while limiting the annotation burden on underwriting teams. Normalization and validation controls include field level validators and business rules that enforce data quality prior to system population, and audit trails capture the provenance of extracted values and any human edits for traceable data lineage. These combined capabilities enable continuous model improvement directly within underwriting workflows, producing production level accuracy and throughput while preserving the ability for subject matter experts to correct and teach models during live operations.
What explainability, audit trail and governance capabilities does Indico provide to support underwriting compliance, traceable decisioning and reproducible model outputs?
Indico provides comprehensive explainability and audit capabilities, including a visual workflow canvas, field level provenance, human in the loop traceability and exportable audit logs for full reconstruction of processing steps. These features enable 100 percent traceability for underwriting triage and clearance workflows as documented on platform materials.
Indico emphasizes explainability with a visual Workflow Canvas that renders processing pipelines, model components, and decision logic in a format suitable for audit review, enabling traceable inspection of each processing stage and the evidence behind extracted fields and triage scores. The platform records field level provenance so that each extracted value includes source document location, the model or extraction agent used, any human corrections and the model version that produced the output, supporting reproducible reconstruction of a recommendation for compliance and QA reviews. Human in the loop interactions are captured as part of the audit trail and are incorporated into staged training updates, ensuring that corrections are traceable to specific reviewers and are logged for governance purposes. Indico positions these capabilities as enabling 100 percent audit traceability for underwriting triage workflows, providing exportable logs and evidentiary artifacts for regulatory reporting and internal control assessments. The platform also supports standardized validation rules and normalization tables that are version controlled, permitting governance teams to review rule changes and their impact on downstream system population over time. These features collectively support reproducible model outputs, transparent triage decisions, and demonstrable chain of custody for every underwriting submission processed through the platform.
