The best underwriting hire you’ll ever make.

AI agents that read policies, classify documents, and generate evidence-backed risk analyses — so your team can focus on decisions, not data entry.

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The Problem

The problem isn’t your underwriters. It’s the work they’re stuck doing.

Your best people spend most of their day reading PDFs, copy-pasting into spreadsheets, and chasing missing documents. Internal tools exist, but humans still have to connect the systems, handle the exceptions, chase the reps, instead of assessing risk.

6–8 hrs
Per submission today
80+
Pages per policy
8%
Processed same day
87%
of AI pilots fail
Manual PDF reading

Underwriters spend hours reading through multi-section policies, endorsements, and claims histories to find the 30–40 fields they actually need.

Inconsistent extraction

Different underwriters extract different fields, in different formats, with different levels of detail. There’s no single source of truth.

No evidence trail

When a field value is questioned, there’s no way to trace it back to the source page or paragraph. Trust is fragile.

Tribal knowledge

Senior underwriters carry decades of institutional knowledge about risk appetite, chemical hazards, and sanctions nuances — when someone leaves, the playbook leaves with them.

What We Do

We automate the underwriter’s desk, not a single task.

Your team already has a dozen revenue tools. Our full-stack AI system sits on top and handles the entire submission lifecycle — from email ingestion to structured rationale. We don't replace your stack. We make it more valuable.

L1Diagnosis

Our Diagnosis Agent scans your operations and surfaces the 20% of bottlenecks causing 80% of your pipeline friction. Discovery feels like a product, not a consulting engagement.

L2Knowledge

We turn your tribal knowledge into an executable system. Pricing rules, analysis logic, handoff criteria. The knowledge layer makes every agent smarter.

L3Action

Agents that do the work. Route exceptions, validate data, prep reports, coordinate handoffs. Human-in-the-loop first, confidence-based automation over time.

L4Governance

Approval workflows, escalation paths and full audit trails for every extraction and edit. Evidence references linking every field to source page and paragraph. Human-in-the-loop review before anything is finalized.

Why Silverarrow

You've looked at the alternatives. We know.

Every company evaluating AI for insurance operations has considered SaaS tools or building internally. Both have the same failure mode.

SaaS Tools
  • Generic workflows that don’t match your underwriting process
  • You adapt to the tool, not the other way around
  • Can’t handle your edge cases or exceptions
  • Vendor lock-in with proprietary formats
  • No evidence references or audit trails
Build Internally
  • 87% of internal AI pilots never reach production
  • 12+ months to production-ready system
  • No cross-client pattern recognition
  • Engineering team gets pulled to other priorities
  • Orchestration complexity compounds fast
  • Model drift is invisible without monitoring
Silverarrow
  • Integrates with your existing operations stack
  • Learns your actual process logic
  • Deploys in days, not months
  • Gets smarter with every human interaction
  • Human-in-the-loop from day one
  • You own everything we build. Zero lock-in.
Engagement

What happens after you sign

Three phases. Clear deliverables at every step. No lift-and-shift. You'll know exactly where we are and what's coming next.

Phase 11–2 weeks

Discovery & Configuration

  • Interviews of underwriting team and mapping of workflows
  • Identification of the highest-impact pain points with real numbers from your pipeline
  • Configuration of classification rules, risk-appetite parameters, internal references
  • Deliverables: operations audit, prioritized opportunities, projected ROI, implementation roadmap
Phase 23–6 weeks

Deployment & Build

  • Connection of key tools for your highest-impact processes.
  • Live agents process real submissions
  • Human-in-the-loop with approval workflows
  • Pipeline accuracy tuning with your feedback
  • Parallel run alongside existing process
Phase 3Ongoing

Operate & Expand

  • Monthly ROI and accuracy reports with tracked savings
  • Agents get smarter, auto-tune and expand to adjacent workflows
  • Workflow expansion to new lines of business
  • Quarterly business reviews
Our IP

The agents don’t just run. They learn.

Three proprietary technologies make silverarrow agents fundamentally different from anything you could build internally or buy off the shelf.

SOP Compiler

Weeks of onboarding, compressed to days.

Ingests documents and converts business logic into executable agent rules. The same logic that takes a new hire three months to learn, the SOP Compiler processes in days. Every rule is traceable back to the source document.

Change Detection

Business logic drifts. Agents shouldn't.

Monitors for SOP changes, tool updates, and rule drift. Agents auto-tune instead of silently failing. No more stale routing rules or outdated approval thresholds.

Human Feedback Loop

Every correction makes the system smarter.

Every human approval, edit, override and correction trains the system continuously. Accuracy compounds over time. Most agents reach 95%+ confidence within 8-12 weeks.

Governance

Built for the people who say no.

Governance isn't a feature we bolt on at the end. It's the foundation everything runs on. Every action is logged, every field is traceable, and nothing is fabricated.

Full Audit Trail

Every agent extraction, human field edit and approval is logged with timestamp, actor, and before/after values. Immutable history for compliance review.

Zero Fabrication

Every extracted field links back to source document, page number, and paragraph. One-click verification for any data point.

Escalation Paths

Low-confidence extractions are flagged for human review automatically. You configure thresholds per field type and risk category, the agents follow.

Approval workflows

Four-eye reviews, discount authorizations, substance overrides. The same approval patterns your team already uses, powered by agent intelligence.

Sample Audit Trail

TimestampActorActionDetail
2026-02-13 09:14:22Pipeline AgentExtracted fieldPolicy limit: CHF 10,000,000 (p. 3)
2026-02-13 09:14:23Pipeline AgentFlagged low confidenceRetention amount: ambiguous (p. 7, p. 12)
2026-02-13 10:02:41M. SchneiderEdited fieldRetention: ‘ambiguous’ → ‘CHF 250,000’
2026-02-13 10:05:12M. SchneiderApproved caseCase #SA-2026-0847 moved to approved
Workflow

From inbox to analysis, automatically.

Seven steps, fully automated, with human review where it matters.

01Email Arrives

Broker sends submission to your connected mailbox (Outlook or IMAP).

02AI Classification

Email is classified as a submission vs. noise (replies, FYIs, marketing).

03Document Classification

Each attachment is classified: primary policy, claims history, endorsement, schedule, or other.

04Entity Validation

Named insured is looked up in database (ZEFIX), enriched via D&B with NAICS codes, revenue, and ESG scores, then checked against risk appetite.

05Parallel Extraction

9 analysis cards generated in parallel: policy overview, wording, coverage, legal, sanctions, substances, named insured, claims, ESG.

06Underwriter Review

Structured analysis presented to underwriter. Edit any field with full audit trail. View evidence, approve or decline.

07Export

Approved rationale exported as PDF or synced to Guidewire. Complete audit trail preserved.

Before & After

MetricBefore SilverarrowAfter Silverarrow
Time per submission6–8 hours30 Minutes
Evidence trailNone100% of fields
Analysis dimensionsVaries by underwriter9 standardized
Same-day processing28%100%
ROI

We track the value. So can you.

ROI isn't a slide we show once and forget. It's a live dashboard you can check anytime. We measure hours saved, deals accelerated, data accuracy improvements, and pipeline velocity. These numbers scale with your team, not just your bookings.

40–60% reduction in manual effort per underwriter

2–3x
Capacity multiplier
A 6-person Underwriting team operates like a 15-person team. Same headcount, dramatically more throughput.
80-90%
Speed increase
From 2-5 day approval cycles to 4-8 hours.
95%
Accuracy
On each field extraction. All evidence-backed.
300%
Increase in quoted submissions
More time selling, less time entering data, chasing approvals, and prepping reports.
Live ROI Tracking (Sample)
Manual effort reduction58%
Exceptions auto-resolved78%
Agent accuracy rate97%

You never pay more than the value we create.

Pricing

We price agents the way you’d price a hire.

We don't pitch technology. We ask: how would you determine the salary of a human working in that role? Their tools, their training, the effort, the risk. We charge submissions processed, not seats sold. You pay for outcomes, not shelfware.

Hours freed, not heads replaced

We don’t think in terms of exchanging out people. We think in terms of how many hours you’re freeing up, how much more pipeline velocity your team gets, and what they can do with that capacity. The end state isn’t fewer people. It’s an underwriting team that operates at 2–2.5x with the same headcount.

Deployment cost

One-time scoped implementation fee covering discovery, system configuration and team training. 50/50 milestone-based.

Operations cost

Per-submission processing fee. Ongoing management, monitoring, and continuous tuning of agent performance..

Infrastructure

Swiss-hosted compute, storage and token usage. Scales with deal volume, not headcount.

Complexity Factor

Adjusts based on policy complexity, number of document types, and custom extraction requirements.

Implementation

Scoped fee, paid 50% at kickoff, 50% at go-live. Covers the team, the technology, and the deployment. Typical range: discuss during walkthrough.

  • Includes buffer for scope changes and additions
  • Discovery phase can be scoped independently
  • Milestone payments tied to live deliverables, not timelines
Ongoing

You pay for agent output, not seats or licenses. Priced per unit of work completed, always a fraction of what it costs in employee time. If the agents aren't delivering value, you don't pay.

  • Base cost: infrastructure + compute per agent-hour
  • Complexity factor: deal desk approvals cost more than data hygiene tasks
  • As agents mature, human oversight decreases and cost per task drops

Every factor changes over time as agents mature. More autonomy, less oversight, lower cost per transaction. You benefit from the improvement curve, not just us.

Ownership

Built for your environment.

Everything runs on your infrastructure. No pipeline data leaves your systems. Zero lock-in.

Your servers, your security perimeter

Agents deploy on your cloud, your VPC, inside your security boundary. No pipeline data, or deal terms are stored outside your systems.

You control the agents

You set confidence thresholds, escalation paths, and approval workflows. We build it, you run it.

Zero Infrastructure Lock-in

We don't hold your systems hostage. Swap between Claude, GPT, or any of your internal models. Our IP is in the methodology and the team that deploys it.

Think of it like hiring an architect. We bring the expertise to design and build it right. It runs in your house, on your terms.

See what your underwriting desk looks like in three months.

Book a 30-minute walkthrough. We’ll process one of your real submissions end to end.

Book a walkthrough
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AI-powered underwriting submission automation for insurance companies.

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