DXC Assure Broking Essentials brings AI-driven workflows and built-in compliance to mid-market brokers

DXC launches Assure Broking Essentials, an AI-driven SaaS to cut manual work and move brokers off legacy tools fast. Ready-to-deploy, secure, ACORD-compliant, with AWS, ServiceNow.

Categorized in: AI News Insurance
Published on: Oct 17, 2025
DXC Assure Broking Essentials brings AI-driven workflows and built-in compliance to mid-market brokers

DXC launches Assure Broking Essentials for small and mid-sized brokers

Insurance brokers are feeling the squeeze: legacy systems, tougher regulation, rising client expectations, and a market that never sits still. DXC Technology's answer is Assure Broking Essentials, an AI-driven SaaS platform built to reduce overhead and move brokers off outdated tools without a long, expensive rollout.

The platform is ready-to-deploy, multi-tenant, and compliant out of the box. Security is embedded, onboarding is simplified, and support for ACORD standards is included.

What it is

  • AI + human-in-the-loop automation to remove repetitive data tasks.
  • Configurable workflows that keep pace with regulatory changes.
  • Multi-tenant SaaS with built-in security controls and audit readiness.
  • ACORD GRLC standards support to improve data quality and exchange.

How it works

Assure Broking Essentials combines responsible AI with human review, so brokers can automate high-volume, low-value work without losing oversight. Intelligent data extraction targets document-heavy steps like submissions, endorsements, and bordereaux, freeing teams to focus on clients and revenue.

DXC integrates technology from ServiceNow for workflow automation, AWS for cloud infrastructure, Velonetic for industry logic, and mea platform for document intelligence. You get enterprise-grade capability without bankrolling a custom IT build.

Why it matters for brokers

  • Cut manual processing in quoting, binding, and servicing.
  • Accelerate onboarding and reduce handoffs across the broking lifecycle.
  • Improve compliance posture with standardized processes and audit trails.
  • Lower IT complexity and shift to predictable SaaS economics.
  • Deliver faster responses and cleaner data to clients and markets.

Industry voices

DXC leadership positions the platform as a way for brokers to move past legacy traps, skill gaps, and dated processes-supporting secure, scalable, AI-enabled operations that lift productivity, strengthen compliance, and improve client experience.

From ServiceNow's partner organization, the message is clear: companies are moving from small AI pilots to embedded capabilities. Building on the ServiceNow AI Platform, the partnership focuses on trusted workflows and cost-efficient deployment that can be rolled out across the enterprise.

Key integrations

  • ServiceNow: Workflow automation and case management across broking operations.
  • AWS: Secure, scalable cloud foundation.
  • Velonetic: Insurance domain processes and data standards.
  • mea platform: Document intelligence for high-volume insurance paperwork.

Practical next steps for brokers

  • Map your top 3 manual bottlenecks (e.g., submissions intake, bordereaux, endorsements) and target them first.
  • Define success metrics: cycle time, rekeying rate, data accuracy, compliance exceptions, and client response times.
  • Confirm security and compliance requirements (access controls, data residency, audit logs) against your governance model.
  • Plan a phased rollout: pilot with one product line or region, then expand.
  • Upskill your team on AI-assisted workflows and controls. If you need structured options, explore role-based programs here: AI training by job role.

What success looks like

Shorter quote-to-bind cycles. Fewer handoffs and rekeying. Cleaner audit trails. Faster responses to regulatory change. Happier clients. Use your baseline metrics, set quarterly targets, and review regularly as you scale automation to more lines and markets.

Bottom line: Assure Broking Essentials gives brokers a practical path off legacy tools and into AI-supported operations-without a long transformation program. If growth without added complexity is the goal, this is worth a serious look.


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