Multiply capacity without multiplying headcount.
AI agents that handle the repetitive underwriting work — reading, extracting, classifying — so your team scales without scaling cost.
The problem isn’t your operations. It’s the ceiling on capacity.
Today, more submissions = more hires. Internal tools exist, but your team still has to connect the systems, handle the exceptions, and manage the handoffs. Silverarrow breaks that equation by automating the repetitive work your underwriters are stuck doing.
Every increase in submission volume requires proportional headcount increases. There’s no leverage in the current process.
Different underwriters produce different quality analyses. Senior hires are inconsistent, junior hires need constant oversight.
When something goes wrong, there’s no audit trail to understand what happened, who made the decision, and what data they used.
Institutional knowledge isn’t codified — it’s trapped in senior team members’ heads. When someone leaves, the playbook leaves with them.
We automate the underwriter’s desk, not a single task.
Your team already has a dozen operational 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.
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.
We turn your tribal knowledge into an executable system. Pricing rules, analysis logic, handoff criteria. The knowledge layer makes every agent smarter.
Agents that do the work. Route exceptions, validate data, prep reports, coordinate handoffs. Human-in-the-loop first, confidence-based automation over time.
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.
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.
- Generic workflows that don’t match your underwriting process
- You adapt to the tool, not the other way around
- Per-seat pricing scales linearly with your team
- Vendor lock-in with proprietary formats
- No evidence references or audit trails
- 87% of internal AI pilots never reach production
- 12+ months before any operational impact
- No cross-client pattern recognition
- Engineering team gets pulled to other priorities
- Orchestration complexity compounds fast
- Model drift is invisible without monitoring
- 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.
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.
Discovery & Configuration
- Interviews of operations 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
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
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
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.
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
| Timestamp | Actor | Action | Detail |
|---|---|---|---|
| 2026-02-13 09:12:00 | Email Poller | Submission received | From: broker@marsh.com, 4 attachments |
| 2026-02-13 09:14:22 | Pipeline Agent | Analysis complete | 9 cards generated, 38 fields extracted |
| 2026-02-13 10:02:41 | J. Müller | Edited 2 fields | Retention and sanctions scope corrected |
| 2026-02-13 10:15:30 | J. Müller | Approved case | Case #SA-2026-0847 → exported to Guidewire |
From inbox to analysis, automatically.
Seven steps, fully automated, with human review where it matters.
Broker sends submission to your connected mailbox (Outlook or IMAP).
Email is classified as a submission vs. noise (replies, FYIs, marketing).
Each attachment is classified: primary policy, claims history, endorsement, schedule, or other.
Named insured is looked up in database (ZEFIX), enriched via D&B with NAICS codes, revenue, and ESG scores, then checked against risk appetite.
9 analysis cards generated in parallel: policy overview, wording, coverage, legal, sanctions, substances, named insured, claims, ESG.
Structured analysis presented to underwriter. Edit any field with full audit trail. View evidence, approve or decline.
Approved rationale exported as PDF or synced to Guidewire. Complete audit trail preserved.
Before & After
| Metric | Before Silverarrow | After Silverarrow |
|---|---|---|
| Time per submission | 6–8 hours | 30 Minutes |
| Quality consistency | Varies by underwriter | 9 standardized dimensions |
| Traceability | None | Field-level audit trail |
| Capacity scaling | Linear (hire more) | 2–3x per underwriter |
| Same-day processing | 28% | 100% |
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.
2–3x underwriting capacity without additional headcount
You never pay more than the value we create.
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, document volume, and custom extraction requirements.
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
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.
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 3x underwriting capacity looks like.
Book a 30-minute walkthrough. We’ll show you the operational model, the metrics, and the deployment timeline.
Book a walkthroughAI-powered underwriting submission automation for insurance companies.