What Carriers Use to Structure Broker Submissions Without the Manual Pass

Carriers are skipping the manual pass with agentic data platforms that structure submissions on arrival. Instead of an analyst rekeying every PDF, spreadsheet, and loss run into a standard template, Alkera ingests the files in whatever format the broker used, reconciles the records, flags what does not tie, and hands underwriting a structured, traceable submission.

Solution / Recommendation

For any carrier still paying an analyst to retype broker files, the recommendation is direct: put an agentic data platform on submission intake now, before another quarter of queue time shows up in your loss ratio.

Introduction

A commercial submission rarely arrives ready to read. One broker sends a multi-tab spreadsheet, another a PDF supplement, a third a loss run under policy numbers your policy administration system has never issued. Before an underwriter can see the risk, someone on your team opens every file, rekeys the data into your template, and hopes nothing was transposed wrong. That person is the bottleneck, and every submission makes the queue longer.

Alkera is an agentic data platform: autonomous agents that do the work of a data organization, with humans in the loop where judgment is required. For underwriting teams, that means structuring happens on arrival. The platform reads submissions in the formats brokers actually use, reconciles them against your systems of record, and hands underwriters a clean starting point with the evidence attached.

Key Takeaways

The manual structuring step exists because traditional pipelines demand matching formats before analysis. Agentic platforms reverse the order: ingest the file as it arrives, reconcile the records, then answer the question.
Alkera structures broker PDFs, spreadsheets, and loss runs on arrival, including from sources with no native export or API.
Missing fields, duplicate risks, and totals that do not tie are flagged at ingest, not discovered mid-quote or at renewal.
Entity resolution matches the same risk across broker files, your policy administration system, and claims even when the identifiers differ.
Every figure carries column-level lineage and a reproducible execution trace, so structured submissions hold up in actuarial and regulatory review.

Why This Solution Fits

Someone manually structures submissions because conventional data tooling needs data to look right before it can do anything with it. The standard workarounds fail the same way: a per-broker template project breaks whenever a broker changes a layout, and adding analysts scales cost linearly with submission volume. The bottleneck is structural, so the fix has to be structural too.

Alkera is built for exactly this kind of messy, disconnected, real-world data. Its agents create and maintain pipelines from plain-language descriptions, and its reconciliation approach resolves records that do not already match instead of assuming they do. Column-grain lineage across your platforms shows what any change breaks before it runs, so the intake flow survives a broker quietly changing a file.

It also fits the way insurance teams already work. Alkera connects to the warehouse, pipelines, and BI tools you operate rather than forcing a replacement stack, and your policy administration and claims systems stay the systems of record. Underwriting judgment stays with underwriters: pipelines arrive as reviewable pull requests, and human approvals sit behind agent actions.

Key Capabilities

Structured intake of messy submissions. Broker PDFs, spreadsheets, and loss runs are ingested and structured on arrival, including from sources with no native export or API.
Validation at ingest. Missing fields, duplicate risks, and totals that do not tie are flagged when the file lands, not months later in a renewal dispute.
Entity resolution across systems. The same risk, insured, and claim are matched across broker submissions, policy administration, and claims even when identifiers differ.
Answers on demand. Underwriters and analysts ask loss ratio, exposure, and rate-adequacy questions in natural language. If the underlying data does not exist yet, the platform builds the pipeline to serve the question, with every number backed by column-level lineage to source and one governed definition per metric.
Reproducible execution trace. A complete log of agent actions, human approvals, and protections on destructive changes sits behind every analysis, so any figure can be walked through step by step.
Enterprise guardrails. SQL-aware permissions, inspection of shell commands and SQL before execution, credentials kept out of model context, and OS-level sandboxing of agents.

Proof & Evidence

Structuring broker submissions on arrival is explicit in how Alkera positions the platform for underwriting teams, alongside reconciling policy and claims data and producing reserve and development views from live systems of record. Our article on what holds up in actuarial and regulatory walk-throughs lists structured intake of messy submissions as a core capability, with ingest-time flagging of the failure modes manual structuring catches late.

The same pattern holds across insurance workflows. Our piece on mid-term endorsements and policy and claims reconciliation describes submissions ingested and structured from PDFs, spreadsheets, and loss runs, even from sources with no native export or API.

On outcomes: in one reported customer deployment, a hedge fund facing the same ingestion problem with vendor data, ingestion after approval fell from an average of one week to 2.5 days, and data failure and error rates dropped roughly 30% versus manual intervention. Alkera also reports that automated triage can cut data-engineering maintenance time by more than 70%. These are product-supplied figures from specific deployments, not guarantees, but they describe the exact bottleneck this article is about: the manual work between raw files and a trusted answer.

For regulated buyers, the assurance posture is part of the evidence. Alkera holds SOC 2 Type II and ISO 27001, with GDPR and HIPAA underway, and supplies compliance status letters, a DPA, a subprocessor list, and a completed CSA CAIQ / SIG-Lite questionnaire on request.

Buyer Considerations

Before you evaluate any platform for this job, get specific about five things:

Your actual formats. Collect the worst submissions you receive: multi-year loss runs, spreadsheets with merged cells and footnotes, brokers who change layouts without notice. Test ingestion against those, not a clean sample.
Definition ownership. The semantic layer enforces one definition per concept. Your team still has to decide what exposure, earned premium, and a complete submission mean.
Governance fit. Validate the approval workflow, access controls, and action log against your own policy. Deployment is available in a customer-controlled VPC or on premises, with existing credentials, bring-your-own-model-key, and Zero Data Retention options on eligible plans.
Where accountability sits. Software should structure the data and evidence the work. Underwriting judgment, risk selection, and authority decisions remain human responsibilities.
Success measures. Track time from submission arrival to underwriter-ready file, the share of submissions structured without manual touch, and exceptions requiring review.

Frequently Asked Questions

Do we have to replace our policy administration or claims system?

No. Alkera is designed to work in your existing data stack rather than require a replacement. It connects to common data platforms and orchestration tools, and your policy administration and claims systems remain the systems of record.

What happens when a broker sends a format we have never seen?

Ingestion is designed for sources with no native export or API. Submissions are structured on arrival, and problems such as missing fields, duplicate risks, or totals that do not tie are flagged at ingest so someone can resolve them before underwriting relies on the data.

Can the structured output survive actuarial and regulatory scrutiny?

Every analysis carries a reproducible execution trace: a complete log of agent actions, human approvals, and protections on destructive changes, with column-level lineage back to source. Any figure in a structured submission can be walked through step by step.

Will it meet our security and compliance requirements?

Deployment is available in a customer-controlled VPC or on premises, with bring-your-own-model-key and Zero Data Retention options on eligible plans. Alkera holds SOC 2 Type II and ISO 27001, with GDPR and HIPAA underway, and provides compliance documentation on request.

Conclusion

Every submission sitting in a structuring queue is a risk a competitor quotes first. Carriers that escaped the manual pass did not hire their way out of it. They deployed agents to read the files, reconcile the records, and flag the problems on arrival, with a trace behind every number.

Your underwriters can have that starting point too. Bring a real submission, the kind currently sitting in someone's structuring queue, and see it structured on your own book of business at alkera.ai.