Win by serving complex accounts better.
Commercial customers value speed, risk expertise, and confidence when a claim or policy question becomes urgent.
OpenNash
Prepared for
Sentry Insurance · July 2026
A working note for Sentry Insurance claims, underwriting, and field teams
Help every Sentry claims and underwriting review start from a complete, source-linked file.
Sentry is a mutual property and casualty insurer whose captive account executives, claims representatives, underwriters, and risk control consultants all depend on the right file moving cleanly between the field, claims, and underwriting. Reading the 34 open roles, the mix leans heavily toward field account executives working captive territories, alongside claims, underwriting, and risk-control work. The first useful OpenNash workflow would assemble that file first, the documents, policy terms, loss history, and notes, so a reviewer can decide faster.
OpenNash builds custom 24/7 AI agents for customer support, back-office, and operational work. We automate workflows end to end inside the systems your team already uses: secure, auditable, and human-reviewed where it matters.
Engineers who build AI agents that work.
Start with the Zero to Agent guide, then bring one real Sentry Insurance workflow we can map in plain English.
Read Zero to Agent
Built by engineers from GoogleMetaSnowflakeDatabricks
Business thesis
Sentry makes money by underwriting specialized risk and serving policyholders well.
Sentry's public materials point to business insurance, workers' compensation, claims, risk control, and industry-specific programs. That makes claims and underwriting support a high-context automation target.
Sentry annual reportReduce claims and underwriting chase work.
Adjusters and underwriters often need documents, policy terms, loss history, notes, photos, and approvals before deciding. Agents can assemble the file.
Make expert review repeatable.
A reviewed workflow can summarize evidence, flag missing items, draft the next action, and keep the human decision-maker in control.
What OpenNash is
Reliable, auditable AI workflows for the work that actually runs the business.
We study how your best humans solve hard work, replicate the skill, and build AI agents that automate the repetitive parts while keeping people in control of exceptions, approvals, and judgment calls.
M.01
Time to production: 4-8 weeks
We do the workflow audit, build the agent, connect the tools, write evals, and launch against real operating cases.
M.02
14-day no-charge pilot
Forward-deployed engineers embed with your team, watch the best operators work, and prove one workflow before you commit.
M.03
Built on your software
APIs, CRMs, data warehouses, dashboards, spreadsheets, inboxes, browser-only portals, and legacy systems.
M.04
U.S.-based, on site if useful
We will fly to you, work with the people doing the work, and price the pilot risk so you do not have to.
Zero to Agent
We teach the basics, then build inside your real work.
Step 01
Learn
We explain the pieces in plain English: models, tools, context, approvals, evals, and why reliable agents need more than a prompt.
Step 02
Build
We connect to the tools that finish the work today and replicate the process against real test cases before automation.
Step 03
Launch
Human-in-the-loop review, monitoring, audit logs, recovery paths, and automated tests keep the agent reliable in production.
Evaluations are the difference between a demo and a production workflow. We write test cases for incomplete requests, unusual documents, portal errors, approval paths, and edge cases so the agent can fail safely, ask for help, and improve from real reviewer feedback.
Research snapshot
Where Sentry Insurance appears to be adding people
Across the 34 open roles, the biggest visible cluster is field account executives working captive territories, alongside claims, underwriting, risk control, and treasury work. This is a reading of public postings rather than a confirmed workflow, but it points to work where files and context have to move cleanly between the field, claims, and underwriting.
Open roles reviewed
34
From sentryinsurance.wd1.myworkdayjobs.com and related public postings.
Where the work is
Field & claims
Account-executive, claims, and underwriting roles across the 34 openings.
To a working pilot workflow
14 days
No charge. On-site if useful. Staff approve everything.
34 open roles pulled from sentryinsurance.wd1.myworkdayjobs.com · July 6, 2026
Three problems worth solving
Three problems worth solving.
GENERAL OPERATIONS SUPPORT
Field account executives lose time pulling account context together.
Sentry Insurance has 24 visible open roles in this pattern, including several Account Executive-Captive Territory positions across Pennsylvania, Kansas, Georgia, and Washington, plus Customer Service Supervisor and Corporate Business Paralegal. That points to field and support work where account, policy, and billing context has to move cleanly between people and systems.
Our point of view
OpenNash can gather account, policy, and billing context from existing systems, draft the next step, and show staff exactly why the recommendation was made.
Less manual coordination for field teams and a clearer view of where account work gets stuck.
“Account Executive-Pennsylvania Captive Territory”
CLAIMS, BILLING, REVENUE, FINANCE
Finance and revenue work gets slow when the packet is incomplete.
Sentry Insurance has 3 visible open roles in this pattern, including Claims Representative Entry Level-Fast Track, Treasury Services/Investment Accounting-Associate Financial Analyst or Financial Analyst, and Treasury Services Accountant-Associate Financial Analyst or Financial Analyst. That points to repeated work where context has to move cleanly between people and systems.
Our point of view
OpenNash can assemble source documents, notes, approvals, and exceptions before a reviewer makes the decision.
Less rework and cleaner handoffs across finance, operations, and customer-facing teams.
“Claims Representative Entry Level-Fast Track”
QUALITY, SAFETY, COMPLIANCE
Evidence work should be assembled before it reaches the reviewer.
Sentry Insurance has 2 visible open roles in this pattern, including Risk Control Consultant-Hortica and Risk Control Consultant. That points to repeated work where context has to move cleanly between people and systems.
Our point of view
OpenNash can collect source records, compare them to standard work, and prepare an exception packet with an audit trail.
Cleaner reviews, fewer missing fields, and a better record of why decisions were made.
“Risk Control Consultant-Hortica”
How OpenNash would help
Turn one claims or underwriting file into a reviewed workflow.
The first pilot should make the messy handoff visible, reviewable, and measurable without replacing the systems staff already use.
- The workflow stays inside the operating workflow.
- Every recommendation links back to source context.
- The pilot measures whether the workflow is worth expanding.
How the first 14 days run
One workflow, live in two weeks, measured honestly.
First workflow we would test
Sentry Insurance reviewed operating exception workflow
Day 1
Watch the work
Sit with the team that owns the workflow and record the decision points, source systems, exceptions, and approval rules.
Day 3
Map the packet
Define what context the reviewer needs, what OpenNash drafts, and what must stay human-approved.
Day 8
Run live examples
Turn real requests into source-linked packets inside a small review workflow.
Day 14
Measure honestly
Review cycle time, approval rate, edits, rework, and the exceptions that should stay manual.
No charge for the pilot. U.S.-based team — we fly to you. OpenNash connects to the systems your teams already use; nothing is replaced. Every draft, summary, and routing decision lands in a simple review flow where your staff approve, edit, or reject it, with a link back to the source and an audit trail of every action.
Structured role evidence
All 34 Sentry Insurance roles on this page, searchable.
Search by title, location, work pattern, or how OpenNash would help. This is the full role list behind the hypothesis above, not a curated sample.
34 of 34 roles shown
| Role | Work Pattern | Location | OpenNash Fit | Source |
|---|
No roles match that search.
Pulled from Sentry Insurance public postings on July 6, 2026 · every source link goes to the original posting where available.
The ask
Show us one real workflow from this week.
We will map where an AI agent can help, what should stay human-approved, and what test cases would prove it works.