Benchmarking Your Tech Against the 2026 State of Tech Report: Strategic Upgrades for Growth-Focused Brokerages
The 2026 benchmark reports are in, and the gap between high-digital agencies and low-digital ones is widening into a structural advantage. Here is what the data says about where independent brokerages actually stand, and what to do about it.
How Does Our Insurance Agency's Tech Stack Compare to the 2026 Benchmarks?
Most independent agencies are underinvested in the revenue-generating layers of their stack: only 24% use a CRM and only 13% use a dedicated lead-generation platform, according to a survey of 465 agencies conducted by AgentSync and Catalyit. By contrast, foundational tools like AMS (95%) and e-signature (80%) are nearly universal, meaning the gap is not in administration but in sales and growth infrastructure.
The same survey shows phone systems at 75% adoption, personal-lines rating at 63%, digital payments at 41%, and cybersecurity tools at 41%. Marketing automation sits at 31%. The pattern is consistent: agencies have invested in the tools that support existing workflows and skipped the tools that generate or convert new revenue. For a brokerage benchmarking itself against the field, the question is not whether you have an AMS. It is whether you have a CRM that captures every lead, a marketing automation layer that nurtures prospects who do not convert on the first call, and a system that routes inbound inquiries before they go cold.
Kadence addresses exactly this gap, combining a purpose-built insurance CRM with Voice AI for outbound and follow-up and an AEO website designed to generate inbound leads. Agencies that use Kadence replace three or four disconnected point solutions with one growth system.
Why Is High Digital Adoption Directly Linked to Insurance Agency Revenue Growth?
High-digital agencies grew 70% faster on average than less-digital agencies, and high adopters saw 17% year-over-year revenue growth compared to 10% for low or medium adopters, according to Vertafore's state of digital research. The spread is not marginal; it compounds annually into a durable competitive gap that low-digital agencies cannot close by selling harder.
Vertafore's research also shows an earlier benchmark where low digital adopters achieved 7.4% revenue growth against 12% for high adopters. The ceiling keeps rising as the tools improve and the leaders keep using them. A 2026 agency software analysis found that advanced technology adoption correlates with 35% higher revenue growth and 45% better customer retention compared to outdated systems, and that integrated management software produces productivity gains of 20% to 40% alongside policy renewal rate improvements of 15% to 25%. These figures make the case that technology investment is not a cost center: it is a growth multiplier. For life insurance brokerages and IMO networks specifically, faster speed-to-lead and systematic follow-up are where that multiplier is most immediate and most measurable.
What Are the Core Implementation Obstacles and Adoption Gaps in Modern Brokerages?
The primary obstacle is not missing software: it is that agencies own more capability than they actually use, and they have not built the operational processes that make automation effective. The 2026 Big I Agents Council for Technology Tech Trends Report is explicit on this point, recommending that agencies start with workflows rather than software and automate low-risk, high-volume tasks first to reduce tool sprawl.
This is the correct sequence. Automating a broken workflow produces a faster broken outcome. Agencies need documented, role-specific processes before they layer automation on top. The Catalyit State of Tech report reinforces this by noting that structured, role-based training is more valuable than purchasing additional software. In practical terms: if your producers do not have a consistent follow-up sequence today, adding a dialer does not solve the problem. You need the sequence first. Kadence's done-for-you content and onboarding workflows are designed to give agencies that operational foundation before turning on the automation layer, which is the correct order of operations.
How Can Agencies Safely Integrate and Govern AI Tools?
Agencies should integrate AI into documented workflows for low-risk, high-volume tasks first, with human review checkpoints built in, before expanding to higher-stakes decisions. The 2026 ACT Technology Trends Report shows that 68% of agencies plan to increase AI use within the next 12 months, but safe integration requires governance before scale.
Forrester's 2026 insurance tech outlook makes a parallel point for carriers and larger operations: transition from isolated AI pilots to integrated systems using agentic AI and workflow orchestration for tasks like intake and routing. That logic applies at the brokerage level too. An AI voice agent handling outbound follow-up calls is a discrete, auditable workflow. It has a defined trigger, a defined script, a consent requirement, and a suppression list. Those guardrails are what make it governable. Agencies using Kadence's Voice AI get that structure by default: consent capture, DNC suppression, and call logging are tied to every outbound sequence. The governance layer is not optional; it is the foundation the AI sits on. Agencies expanding into AI-assisted outreach should confirm their consent and suppression workflows with legal counsel before scaling volume.
Where Should Brokerages Focus Their Operational Automation Projects First?
Brokerages should automate lead routing, speed-to-lead dialing, and follow-up sequencing before any other workflow, because those are the highest-volume, lowest-risk tasks with the most direct impact on conversion. These workflows are also fully documentable in a day, which makes them safe to automate without complex process redesign.
The ACT report's recommendation to start with low-risk, high-volume tasks maps directly onto the sales operations layer: every new lead gets an immediate outbound attempt, a structured multi-touch follow-up sequence, and a CRM record that captures every interaction. Nearly two-thirds of agencies surveyed by Vertafore are optimistic about AI handling data management and back-office tasks, and the fastest path to demonstrating ROI is in the outbound motion rather than back-office complexity. Once the sales automation layer is running cleanly and producing measurable data, brokerages have the evidence base to justify further investment in analytics (currently used by only 19% of agencies) and more sophisticated workflow orchestration. Build from the revenue line outward, not from the back office forward.
Sources
- 2026 Insurance Agency Trends Outlook: AI & Tech | Vertafore
- How Does Your Independent Insurance Agency's Tech Stack Stack ...
- 2026 Big 'I' Agents Council for Technology Tech Trends Report
- 2026 State of Tech Report - Big I Maryland
- The state of digital in independent insurance agencies
- The State of Tech in Independent Insurance Agencies - Catalyit
- US Insurance Tech Spending 2026: From Modernization ... - Forrester
2026 Insurance Agency Technology Adoption Benchmarks
| Metric | Value |
|---|---|
| Agency Management System (AMS) adoption | 95% of agencies (AgentSync and Catalyit, 465-agency survey) |
| CRM adoption | 24% of agencies (AgentSync and Catalyit, 465-agency survey) |
| Marketing automation adoption | 31% of agencies (AgentSync and Catalyit, 465-agency survey) |
| Lead-generation platform adoption | 13% of agencies (AgentSync and Catalyit, 465-agency survey) |
| Revenue growth: high-digital vs. low/medium-digital agencies | 17% vs. 10% year-over-year (Vertafore state of digital research) |
| Speed advantage: high-digital agencies | 70% faster average growth than less-digital agencies (Vertafore) |
| Agencies planning to increase AI use in next 12 months | 68% (2026 Big I ACT Technology Trends Report) |
Frequently asked questions
What percentage of independent agencies use a CRM in 2026?
Only 24% of independent agencies use a CRM, according to the AgentSync and Catalyit survey of 465 agencies. That compares to 95% using an AMS, meaning the majority of agencies have administration covered but lack the sales infrastructure needed to capture, track, and convert leads systematically.
What is the first step before automating agency workflows?
Document the workflow manually and confirm it produces the right output before adding automation. The 2026 Big I ACT Tech Trends Report is explicit: consistent, well-documented operational processes must precede automation, or AI will amplify existing inefficiencies rather than eliminate them. Start with low-risk, high-volume tasks and add human review checkpoints.
How much faster do high-digital agencies grow compared to low-digital agencies?
High-digital agencies grew 70% faster on average than less-digital agencies, with 17% year-over-year revenue growth versus 10% for low or medium adopters, according to Vertafore's state of digital research. That gap compounds annually, making digital adoption a structural advantage rather than a short-term productivity gain.
What AI tasks are most appropriate for a life insurance brokerage to automate first?
Outbound lead dialing, follow-up sequencing, and inbound lead routing are the right first automation targets because they are high-volume, low-risk, and fully documentable. Forrester's 2026 insurance tech outlook recommends moving from isolated AI pilots to integrated workflow orchestration starting with intake and routing tasks before expanding to more complex decisions.
Written by
Kadence Team
Kadence is AI built to grow life insurance distribution, front to back office, purpose-built for producers, agencies, and IMO networks. We write about speed to lead, AI search, back-office tracking, and the systems that help producers and agencies win more policies.
Reviewed by the Kadence Team.
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