Commercial buildings viewed from street level
Commercial insurance / Working systems

Implementation for commercial insuranceNS-IMPL · 2026

Producer system.
Agency workflows.

Nimbus installs working AI workflows on the AMS, CRM, and files you already have. Ninety days. One owner. A measured result.

Custom software only where the work requires it.

Product

90-Day Producer System

A working operating system for one producer’s daily book. Calibrated on live accounts. Reviewed by the producer. Kept in the systems the agency already owns.

Schedule Work
Weeks 1–2 Profile

Producer, target accounts, selling style, available data, and tools already in use.

Weeks 2–4 Connect

Organize useful systems and knowledge. Build the core workflows around real work.

Month 2 Calibrate

Live accounts and conversations improve recommendations, preparation, and review.

Month 3 Measure

Prioritization, preparation, follow-up, meetings, opportunities, and daily use.

Prioritize Who to work this week
Prepare Why now, and the file
Communicate What to say, sourced
Follow through The next owned action
Conference table with account folders and a desk lamp
Account files before the system runs. The work stays in the book you already keep.
Runs in Your existing stack

AMS, CRM, Microsoft 365 or Google, approved AI workspace, prospecting tools, and documents.

Not included A new platform to log into

Custom components are built only when the workflow cannot run in tools you already own.

At day 90 Keep, adjust, or stop

The measurement is usage and business activity, not a slide about potential.

Product

Agency Implementation

The producer system proves the method. Agency work applies it to a small number of valuable, governed workflows.

Agency AI Blueprint

Where AI can create measurable value, what systems and data are available, what security boundaries matter, and which two or three workflows to implement first.

Deliverable · scoped plan

90-Day Agency Implementation

Approved AI environment, connected systems and knowledge, two or three production workflows, trained pilot users, and measured results.

Term · 90 days

AI Operations

Maintain workflows, knowledge, integrations, model choices, review controls, and adoption.

Ongoing · after implementation

Claims and operations

Carriers and MGAs

Practical AI workflows for document intake, claim summaries for human review, and internal knowledge. People make every decision. Sensitive information is handled carefully, inside approved systems and clear review boundaries.

Measured result

Enrollment workbook

A paid commercial-insurance workflow. Schedules of values, policies, provider panels, and state rules in. Completed workbook out, for producer review.

~3 days Previous prep per account
~15 min Run time after delivery

Previous time reported by the producer. Workflow time observed during delivery. Client withheld. No member-level health information required.

Delivery

How the work is done

A business outcome first. A workflow the team can use, review, and improve second.

Your tools

AMS, CRM, Microsoft or Google, approved AI workspace, prospecting tools, documents, and data you already have.

Your judgment

Interviews, examples, emails, calls, and files become sourced context with clear limits.

Defined work

Each workflow has an input, output, reviewer, owner, and approval boundary. Not a generic chatbot.

Measured

Usage, time, quality, activity, and business impact decide what stays, changes, or expands.

Specifications

Boundaries

Nimbus can work inside an approved AI environment you already own, or help establish one as part of implementation.

Already using ChatGPT, Claude, or Copilot?

If the agency has ChatGPT Business, Claude, Microsoft Copilot, or another approved environment, Nimbus works inside it where that is practical.

Can this be built in ChatGPT or Claude?

Sometimes, and that is preferred when it works. Nimbus adds the sources, extracted judgment, exceptions, evidence, review, measurement, and maintenance those tools do not supply on their own.

Is this another platform?

No. Nimbus configures AMS, CRM, Xdate, Microsoft 365, the AI workspace, and other approved systems. Custom components only where they are needed.

Sensitive information

Standard engagements use public, approved, redacted, synthetic, aggregated, or de-identified information. Work pauses if legal, security, agreement, or architecture requirements need separate approval.

Start

Request a conversation

Talk with Joshua about whether this starts with one producer or an agency-wide need.

Joshua Guth

Joshua Guth · FounderSlidell, Louisiana. Ten years building business-critical systems in regulated environments. Direct delivery from workflow selection through operation.

Book a 20-minute AI fit call

Discuss the work you want to improve and whether Nimbus is a fit.