Redesign operations
The challenge: Work is fragmented across people, systems and manual handoffs.
Our approach: Map the economics of the workflow, remove unnecessary steps and redesign around human and AI strengths.
AI TRANSFORMATION · ENGINEERING · OPERATIONS
Reengineering how businesses operate with AI.
We combine industry expertise, enterprise technology and AI engineering to redesign workflows, build tailored intelligent systems, and help organizations deploy AI on their own terms. Insurance is where we start — not where we stop.
Strategy
Operating focus
AI
Industry expertise, broad ambition
Assessment through implementation
Your team stays in control
THE OPPORTUNITY
AI creates the opportunity to rethink the work — not simply automate the old process.
Across industries, essential work still moves through disconnected software, inboxes, spreadsheets and handoffs. Adding an AI tool to a broken workflow can simply make the mess faster. We start with the operating problem, redesign the process, then engineer the systems, integrations and controls required to make the new way of working real.
WHAT WE DO
From operating problem to intelligent solution.
We are not tied to a single model, platform or software subscription. We combine practical advisory work with hands-on engineering to create the right solution for the business.
Build tailored AI systems
The challenge: Packaged SaaS tools often dictate how an organization must work.
Our approach: Build purpose-fit applications, agents and integrations — using open-source components where appropriate.
Deploy AI with control
The challenge: Sensitive workflows cannot always depend on externally hosted AI services.
Our approach: Evaluate private, isolated or disconnected model deployments where security and operational requirements demand them.
Connect fragmented systems
The challenge: Valuable data is trapped in legacy applications and disconnected repositories.
Our approach: Connect systems, documents, people and workflows with governed data access and measurable outcomes.
Modernize software economics
The challenge: Subscription-heavy software can add cost while leaving important needs unmet.
Our approach: Assess when reusable open components and custom development offer a better long-term fit than another license.
Build repeatable capabilities
The challenge: One-off pilots rarely translate into enduring operating advantage.
Our approach: Turn successful solutions into documented, maintainable capabilities that can be extended and adapted.
INITIAL INDUSTRY FOCUS · INSURANCE
Insurance operations: a practical place to start.
Insurance brokerage is our initial domain focus. From submission through renewal, these workflows offer concrete opportunities to reduce manual effort, improve visibility and support better decisions.
Submission & intake
Today: Submissions arrive as emails, PDFs, and ACORD forms that staff re-key by hand.
With AI: AI extracts and validates the data, flags gaps, and routes each submission to the right producer or market.
Quoting & placement
Today: Producers spend hours assembling submissions and comparing carrier responses.
With AI: Submission packages are assembled automatically and quotes compared side by side, with the producer making the call.
Onboarding & servicing
Today: Certificates, endorsements, and ID cards eat service-team capacity.
With AI: Routine requests are handled or drafted automatically, so staff focus on complex clients.
Renewals & retention
Today: Renewal prep is manual, and at-risk accounts surface late.
With AI: Renewal packets are built early, with coverage changes and retention risk flagged for review.
Claims support
Today: Clients call the agency while staff chase status updates and documents.
With AI: AI-assisted intake, status updates, and document collection, with humans handling the judgment calls.
Back office & compliance
Today: Reconciliation, licensing, appointment tracking, and audit prep are manual and error-prone.
With AI: Automated checks, reminders, and audit trails reduce errors and prep time.
OUR FIRST INDUSTRY WEDGE
Deep enough to understand the workflow. Flexible enough to go beyond it.
We begin with insurance brokerages, agencies and MGAs, where knowledge-intensive workflows make the opportunity tangible. We can address one focused bottleneck or design a broader operating program.
The underlying approach — process redesign, tailored AI, secure deployment and systems integration — can also apply in other complex and regulated industries.
01Independent agencies
02Regional and national brokerages
03MGAs and program administrators
ILLUSTRATIVE EXAMPLE
Commercial renewals: from manual scramble to governed workflow.
A representative scenario showing how we approach a workflow. This is an illustration, not a client result; we will replace it with real case studies as engagements complete.
Today
- Renewal data pulled by hand from carrier portals, emails, and PDFs
- Details re-keyed into the agency system
- At-risk accounts spotted late, or by gut feel
- Coverage gaps often discovered at claim time
Redesigned
- An AI agent assembles the renewal packet from policy documents and system data
- Coverage changes, premium shifts, and retention risk are flagged early
- The account manager reviews, edits, and approves, so human judgment stays in control
- Every step is logged and auditable
What we would measure: hours per renewal, retention, cross-sell opportunities identified, and error rates.
PRIVATE AI · GOVERNANCE · CONTROL
Your AI architecture should fit your security requirements.
Model choice is only part of the design. Data location, access controls, auditability and deployment boundaries matter just as much. We assess architectures ranging from managed services to customer-controlled, isolated and fully disconnected environments when technically and operationally appropriate.
01
Model-flexible
Evaluate open-source, private and commercial models based on fit, performance, ownership and constraints.
02
Governed
Build identity, permissions, logging, review and human oversight into the operating design.
03
Integrated
Connect models to approved enterprise systems and data with defined trust boundaries.
04
Outcome-driven
Measure time saved, quality, cost, risk and operational results — not model demos.
HOW WE WORK
Begin with a real problem. Build toward lasting capability.
Every engagement starts with a specific business outcome and moves from diagnosis to practical implementation. The scope can be a single workflow, a tailored AI system or a broader modernization program.
Assess
Map the workflow, measure where time and cost actually go, and identify where AI can help and where it cannot.
Redesign
Reimagine the operating process, select suitable models and architecture, and define human decision points and controls.
Implement & train
Develop and integrate the solution, pilot it with users, document operations, and measure business impact.
THE EASIEST FIRST STEP
Opportunity assessment
A focused initial engagement to map priority workflows, identify constraints and recommend a credible pilot and implementation roadmap. Scope and schedule are agreed for each project.
DELIVERY AND OWNERSHIP
Build lasting capabilities — with clear rights from day one.
Our goal is to leave clients with working solutions, usable documentation and operating knowledge. Client data and confidential information remain protected; ownership of custom deliverables, pre-existing tools, reusable frameworks and licensed components is defined in each agreement.
01Working systems, built in your environment
02Documented playbooks your team can run
03Clear data-ownership and confidentiality terms
04Governance and audit trails from day one
05A path to extend or scale, if the opportunity is real
FOUNDING TEAM
Three disciplines. One platform.
NewSpring SI brings together enterprise technology and partnerships, insurance and market strategy, and AI systems and operating design.
AR
Abie Reifer
Strategy, enterprise technology & partnerships
Connects business strategy, complex technology environments, and the relationships required to move ideas into operating reality.
NB
Neil Bromberg
Insurance, markets & distribution
Brings industry perspective, commercial strategy, and an operator’s view of how insurance businesses create and capture value.
CS
Clarence Stone
AI systems, data & operating design
Designs model-flexible AI systems, data workflows, and operating environments built around real business processes.
LET’S EXPLORE THE OPPORTUNITY
What could your business do differently with AI?
Whether your challenge is a manual workflow, an inflexible software stack or a sensitive AI deployment, we can begin with a practical conversation about the opportunity, constraints and possible next steps.