Is Strkr an AMS replacement?
No, and we are explicit about that. Applied Epic, AMS360, HawkSoft, EZLynx, and QQCatalyst are agency management systems that hold the policy of record, handle carrier downloads, manage binder documents, and sit at the center of agency operations. Strkr is a sales and pipeline front-end that sits beside the AMS. We integrate via webhook and nightly sync so the AMS stays the system of record and Strkr handles the household view, the renewal cadence, the cross-sell triggers, the commission reporting, and the producer motion. For a growing agency that has outgrown the spreadsheet but is not ready for Applied Epic as the one and only system, this is the shape that works. Agencies that have an AMS already keep it. Agencies that are between an entry-level AMS and a mid-size platform often find Strkr fills the gap during that transition. Agencies evaluating a first AMS can run Strkr for the sales motion while the AMS decision is made separately on policy management grounds.
What size agency is Strkr a good fit for?
Strkr fits best for insurance agencies and brokerages with 1 to 100 producers that already have or will have an AMS. The sweet spot is 3 to 30 producers where the spreadsheet-based motion is breaking but a full Applied Epic implementation is overkill. Independent agents running a single-shop business, growing agencies at 5 to 15 producers, and multi-location shops up through 100 producers all run Strkr beside their AMS. Enterprise agencies over 300 producers with deep AMS customization and dedicated admin teams usually stay fully inside Applied Epic or AMS360 for the policy motion. Strkr is still a reasonable sales front-end at that scale, but we are honest that the deeper AMS tools fit the operation at that size. The producer count is a better fit heuristic than the premium volume, because the sales motion and the renewal cadence scale with the number of relationships a human producer manages, not with the dollar amount on the policy. A 10-producer commercial agency with 400 commercial households and 15 million in written premium is in the same operational shape as a 10-producer personal lines agency with 2,000 households and 6 million in written premium, and both run Strkr beside their AMS the same way.
How does Strkr handle commission tracking?
Every policy record carries commission fields: carrier payout percentage, agency split, producer split, bonus overrides, chargeback risk, policy term, and commission status (pending, earned, chargeback). Reports roll commission up by producer, by carrier, by line, by month, by renewal versus new business. The producer sees earned year-to-date in real time on their home dashboard. The agency principal sees the top-line commission trend without a Friday-afternoon spreadsheet reconciliation. Strkr pulls commission statements from the AMS where the integration supports it and lets the agency import carrier commission files monthly where it does not. The chargeback risk field is where most growing agencies see immediate value: policies with payment-history flags, early-cancel risk, or carrier non-renewal signals are tagged so the producer knows which commission dollars are not fully earned yet. Reconciling the carrier commission statement against the Strkr commission expectation becomes a 15-minute spot check instead of a day-long project, because the expected payout for every policy in the month is already computed on the record.
What is the AMS integration story?
Strkr integrates with Applied Epic, AMS360, HawkSoft, EZLynx, and QQCatalyst via native webhook and nightly sync. Policy records sync to Strkr with the AMS policy ID as the bridge. New policies in the AMS appear in Strkr within minutes. Commission statements import nightly where the AMS exposes them. Household and contact mappings run both ways with conflict resolution rules the agency principal controls. The AMS stays the system of record for the binding policy document, carrier downloads, and compliance archive. Strkr owns the sales motion, the renewal cadence, the household view, and the pipeline. For agencies on an AMS Strkr does not natively integrate with, native webhook ingestion handles the common upload flows and nightly file imports close the loop. The agency principal picks the direction of truth for each field at setup: policy premium and effective date stay AMS-authoritative, while sales-stage, cross-sell notes, and producer activity stay Strkr-authoritative. This split keeps the compliance archive clean inside the AMS while the day-to-day motion runs where the producer can actually work.
How does the renewal flow actually work?
Every policy record has a renewal date. A nightly scheduled flow checks every policy against the renewal clock. At 120 days out, a renewal review task is created on the producer of record, the household is tagged in the renewal cohort, and a prep email is drafted. At 90 days, Strkr AI drafts a renewal narrative from the household history, the claims record, the carrier rate changes, the open cross-sell opportunities. At 60 days, the review call is scheduled on the producer calendar. At 30 days, if the review has not happened, an escalation task fires to the agency principal. The whole motion is a single flow the agency principal can edit, and the output is a 90-day review that becomes the default, not the exception. Commercial lines agencies that want a longer runway can push the first touch to 180 days or 150 days out, which is where larger accounts with carrier-marketing cycles actually require the lead time. Personal lines agencies can tighten the touches to 60, 45, and 30 days where the household decision window is shorter. The point is that the renewal clock drives the schedule for every policy, no producer has to remember the date, and nothing falls off the calendar.
What does Strkr do that a generic CRM like HubSpot does not for insurance specifically?
The honest short list: policy records as first-class custom objects (not shoehorned into deals), household account grouping with multi-contact and multi-policy roll-up, native renewal flow automation on the policy renewal date (not a generic task scheduler), commission tracking fields on the policy with producer rollup reports, cross-sell triggers that read line-of-business gaps and life events, native integration with Applied Epic, AMS360, HawkSoft, EZLynx, and QQCatalyst, producer licensing and E and O compliance tracking as structured data not shared-drive sheets, and AI features included on every paid tier for renewal narrative drafting and risk flagging. A generic CRM will model a policy as a deal and a household as a company, and both approximations break the moment the agency grows past the first few hundred policies. The deal-as-policy model loses the renewal clock, which is the whole point. The company-as-household model loses the multi-contact structure of the actual household. Insurance has specific primitives, and the agencies that get the most leverage out of a CRM are the ones running on primitives shaped for insurance, not primitives shaped for generic B2B sales.