What it actually takes to ship a production AI agent in 2026
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post →The technology and process challenges that come up in nearly every engagement we run in this industry.
Agencies, sub-agencies, producer types, split commissions, override commissions, carrier-specific calculations. The hierarchy needs to be in the platform, not in a spreadsheet.
When brokers and agents need to submit, quote, bind, and issue policies across multiple carriers and rating engines, the integration work is significant — and often poorly done.
Producer licensing by state, by line of business, with expiry tracking and renewal workflows is the kind of operational work that breaks every five years if not built properly.
Every carrier API is different. Maintaining stable integration across 5+ carriers takes intentional architecture, not glue code.
Claims involve multi-party workflows, FNOL intake, adjuster assignment, payment processing, and litigation tracking — most CRM implementations leave claims as an afterthought.
Underwriting decisions depend on clean loss-run data that arrives in dozens of formats. Cleaning and structuring it is unglamorous, critical work.
Full producer hierarchy modeling with overrides, splits, commission structures, licensing tracking, and the workflows for onboarding, transferring, and offboarding producers.
Integrated quote-to-bind workflows across multiple carriers and rating engines, with proper data validation, e-signature integration, and policy delivery.
Financial Services Cloud configured for insurance — policy data model, household and business unit modeling, claims integration, and renewal workflow automation.
Production AI agents handling submission intake, risk factor extraction, and underwriter routing — built to actually run in production with proper governance.
End-to-end claims workflow from FNOL through resolution — adjuster routing, payment integration, litigation tracking, and SLA management.
Claude-powered extraction and structuring of loss runs from multiple carrier formats into a clean underwriting-ready dataset.
Compliance is not a separate workstream — it is embedded in every workflow we deliver. The major frameworks we work within:
Tracking producer licenses by state, line of business, and renewal cycle — with active enforcement built into workflow.
Documentation of sales practices, complaint handling, and replacement transactions that holds up to market conduct exam.
State-specific surplus lines tax calculations and stamping office filings automated within the policy lifecycle.
PHI handling, audit logging, and minimum necessary access controls for any health insurance workflows.
Information security program evidence, vendor diligence, and customer information protection workflows.
Producer compensation tax reporting and broker 1099 generation tied directly to commission systems.
Each category represents a deep specialization with dedicated playbooks, accelerators, and experienced practitioners.
Agency hierarchy modeling, commission systems, producer portals, and licensing infrastructure.
Submission intake, triage, underwriter productivity tools, and rating engine integrations.
End-to-end claims platforms covering FNOL, adjustment, payment, and litigation tracking.
Salesforce-to-PAS integration patterns for unified customer 360 across the policy lifecycle.
Document AI for submissions and claims, underwriting triage, fraud detection support, and customer service automation.
Our team carries hands-on experience across the systems your firm already runs. Integration is rarely the bottleneck.
A few examples of how these capabilities show up in practice — drawn from recent and active engagements (client names anonymized where appropriate).
Replaced a spreadsheet-driven commission system with a Salesforce-native producer hierarchy supporting overrides, splits, contingents, and carrier-specific calculations across 15 carriers. Cut monthly commission close from 14 days to 3.
Integrated Salesforce with Applied Epic, three carrier portals, and a rating engine to create a single producer workflow from prospect through bound policy. Reduced quote-to-bind cycle time by 40%.
Built a production AI agent using Anthropic Claude to triage incoming submissions — extracting key risk factors, flagging missing information, and routing to the right underwriter. Triage capacity up 3x with the same headcount.
Built a Salesforce-based claims system covering FNOL intake, adjuster assignment, payment workflows, and litigation tracking. Average claim cycle time dropped 27%.
Replaced an email-based submission workflow with structured intake, automated triage, and carrier-routing logic. Submission throughput per underwriter up 60%.
From short diagnostics to fractional leadership, every engagement model is designed around the client's stage and needs.
Insurance-specific diagnostic engagements assessing CRM, distribution, claims, and underwriting workflows.
Defined projects covering FSC Insurance, producer portals, claims platforms, or specific integrations.
Ongoing platform administration, enhancement, and 24/7 support for production insurance systems.
Senior insurance domain + technology leadership for carriers, MGAs, and agencies between full-time CTO hires.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
Every engagement leverages reusable assets — frameworks, blueprints, and diagnostics built up over hundreds of client projects.
A structured approach to designing producer-agency-sub-agency hierarchy in Salesforce that survives M&A, splits, and commission disputes.
A reference architecture for connecting raters, carrier APIs, and bind workflows that compresses submission cycles dramatically.
Our framework for FNOL, triage, assignment, payment, and litigation tracking — built for carriers, TPAs, and large agencies.
A repeatable process and toolset for ingesting messy carrier loss-runs and producing clean, underwriting-grade data.
How carriers, MGAs, and large agencies are deploying AI across submission, quote-to-bind, claims, and policy administration to compress cycle time and improve loss ratios.
A deep look at AI deployment patterns across the insurance value chain — from intake intelligence and loss-run normalization through claims triage and adjuster assist — with frameworks for measuring ROI and managing model risk.
Practitioner-level analysis from the consultants delivering the work.
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post →Connect the systems that run your business — CRM, ERP, billing, data, AI, analytics — into one cohesive architecture.
Learn more →Custom applications, platform extensions, integrations, and engineered solutions built when off-the-shelf software won't fit.
Learn more →Strategic guidance from certified architects plus production AI deployments. System selection, roadmaps, audits, Agentforce, custom agents, and AI strategy — all under one practice.
Learn more →Align marketing, sales, and customer success into one revenue engine. Process, forecasting, attribution, and tech-stack optimization.
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