With Pace, you can now run premium audits on 100% of your book. Every premium audit corrects premium to match actual exposure. A workers' comp policy is written on estimates which change over the course of the policy term or many be incorrect even at time of issuance. Pace agents reconcile these discrepancies. They read the source documents (941s, payroll journals, remittance reports, 1099s) with citations for every figure, apply your audit rules for officer decisions, overtime treatment, and subcontractor labor, and write results back in Nexus, Salesforce, or your proprietary policy system. Anything that fails a check gets flagged for your team rather than guessed. Carriers running audit on Pace recover roughly 30% more premium, complete audits in minutes instead of hours, and clear backlog in-house at about half the outsourced vendor cost.
About us
Pace is the agentic workforce for insurance. Pace’s AI agents navigate internal apps, reason across documents and make phone calls to automate tasks traditionally handled by business process outsourcers (BPOs). Pace works with leading insurers to handle mission-critical insurance operations like submission intake, policy servicing, claims handling and data entry. For more information, please visit withpace.com
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https://withpace.com/
External link for Pace
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- New York
- Type
- Privately Held
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Updates
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Certificate issuance is a volume problem with a liability tail. Certificate requests are spikey - they often arrive by the thousands and surge at month start. Every certificate that goes out is a legal document: the wrong holder, the wrong wording, or an overstated limit becomes E&O exposure. The standard answer has been bigger teams, overtime, and audits that catch mistakes after the certificate has shipped. Pace can automate certificate issuance end to end. Our agent triages each request the moment it lands, checks it against actual policy terms, holder templates, and state issuance rules, then delivers the certificate to the holder. Anything non-standard is escalated to your team before it goes out, and every certificate carries a complete audit trail. On live accounts, our agents issue certificates more accurately than trained operators. Our agents are also infinitely scalable, dealing with volume spikes and removing the need for a hiring plan or overtime. With Tempo, our agent builder, you can stand up an agent personalized to your issuance rules in minutes. Learn more: withpace.com/coi
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Pace is heading to Austin for Reuters Events: Connected Distribution on September 15 & 16! We are excited to join the conversation with 200+ leaders from carriers, MGAs, agents, and brokers. Our team will be onsite going deep into how you can streamline distribution, whether its by automating certificate issuance and loss runs or enhancing the placement and renewals process with AI agents so your producers can focus on relationships and best-in-class risk management. Be sure to stop by Booth #3 to connect with Mairin Hall, Charlie Caban, and Max von Schroeter from our team to see what's possible and explore how Pace can transform your operations.
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Pace reposted this
We believe the TAM of service work is increasing as quality, speed, and cost improve. 60% of the world's losses last year were uninsured, often because the cost of underwriting, servicing the policy, and paying the claim is too high. AI-native services change those economics. With Pace, customers complete insurance operations without adding headcount: premium audits expanded to 100% of the book, thousands of surged claims processed with zero backlog, and half a million tasks now completed autonomously with two orders of magnitude less headcount. Excited to have shared the stage with Chuck Ganapathi, Ryan Daniels, Chris Hladczuk, and Carlotta "Lotti" Siniscalco. Thank you Jake Saper and Emergence Capital for organizing the AINS summit.
General Partner @ Emergence Capital | Long AI-Native Services
The advertised accuracy was 95%. When Jamie Cuffe audited the actual work coming out of traditional BPOs, it was as low as 50%. He shared that at our AI-Native Services Summit in New York last week. The gap between what incumbent services claim and what they deliver is the opening. And closing it expands the market: Pace reviews 100% of claims in real time instead of sampling 1%, so work that used to be impossible becomes the standard. Jevons paradox at work in AINS. Some other takeaway from the AINS Summit: Where to start: if providing an external service to do something that is currently being done internally, find critical but not core tasks. Chuck Ganapathi is making the SaaS to AINS transition at Gainsight, a company with hundreds of millions in ARR. They started their renewals service on the long tail of accounts most companies are currently neglecting and have found that to be a great entry wedge. Trust is the constraint, not capability. Ryan Daniels made the argument of the day: people forgive human mistakes far more easily than AI mistakes. Ask Waymo. The human-agent split in AINS becomes a design problem: humans have to oversee the right work and own the errors. But AI needs to do an ever increasing amount of the job. The unlock ahead is using eval scores to get agents underwritten with real liability insurance. CC AIUC-1 What an eval looks like in production. Chris Hladczuk's agents at Hanover Park categorize cash transactions, and every human approval or correction becomes a labeled training example. He tracks the share of cash reconciled by agents, week over week. The payoff: day zero financials in an industry that runs 30 to 90 days behind. Eric Newcomer was in the room too. Today he published a piece asking whether AINS is the next SaaS, built around the playbook deck I presented. My answer to his headline is no. SaaS is a few hundred billion dollar market. Legal, accounting, insurance, and tax generate trillions a year. The next SaaS would be a disappointment. Eric's piece is in the first comment. 400 people were on the waitlist for this summit, so we'll continue to host more. There's a link to sign up for that as well. Thank you Ryan Daniels for hosting us at Crosby's stunning new office, and Chuck Ganapathi, Jamie Cuffe, Chris Hladczuk, and Carlotta "Lotti" Siniscalco for bringing it.
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Pace is heading to Austin for Reuters Events: Connected Underwriting on September 9 & 10! We are excited to join the conversation with 200+ underwriting and technology leaders from 80+ insurance carriers, representing 95% of the top 50 carriers. The agenda goes deep on questions we work on everyday: how can carriers bring AI into underwriting without losing expert judgment? Be sure to stop by Booth #3 to connect with Andrew Khalatov, George Mori, and Nathan Fletcher from our team to see what's possible and explore how Pace fits into your underwriting workflow.
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Pace reposted this
Every underwriting leader has asked some version of the same question: does requiring five years of loss runs actually predict losses, or does it simply slow down brokers? The data needed to answer this question is difficult to accumulate. After partnering with some of the world's largest insurers, we see the same pattern everywhere. Core systems capture the business that was written, but the decisions along the way, including declines, supplementary document requests, subjectivities, and the reasoning behind each call, live in email threads and PDF attachments. Once the file closes, that information disappears and is not recorded. When an AI agent runs the workflow, every one of those decisions becomes structured data by default. Once losses develop, each requirement can be measured against the outcome. We have seen cases where additional years of loss runs added no predictive value while submissions stalled waiting on them. The agent surfaces that evidence, an underwriting leader reviews and approves the change, and the updated guideline goes live. The loop then continues with every submission that follows.
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Loss runs shouldn't be the reason a renewal is delayed. Pace now automates the entire process end to end. Our agents handle the chase across carrier portals and email, and hand your team back the finished product: every report filed in your AMS, with the renewal summary your clients expect. For your team, that means renewals start on time and no follow-ups missed. Any actions that require human judgement are automatically escalated. Spinning up a new loss runs agent is simple. To get started, give Tempo, our agent builder, your SOP and watch it build a production-ready agent tailored to your process in a few minutes. Below is a quick demo of our loss run agent from Max. If you are interested in learning more, visit: https://lnkd.in/enw35ai6
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Proud to announce our partnership with Convex US. Convex will use Pace to streamline new business and renewals, allowing underwriters to focus on decisions that drive real business impact. Thank you to the Convex team for choosing Pace, we are delighted to scale our impact together.
Convex US is excited to announce that we’ve joined forces with Pace to develop AI agents that classify inbound broker emails, extract and ingest submission data, and ultimately support straight-through processing for both new business and renewals. The result? Less manual keying, enhanced data quality, improved response times, and more bandwidth for our underwriters to focus on complex risk decisions that drive real business impact. At Convex US, we built this platform from the ground up with a modern tech stack and a bias toward innovation. Joining with PACE is a natural extension of that mindset—purpose-built AI agents designed specifically for the insurance industry, deployed in weeks, not months. No rip-and-replace. Just results.
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Insurance workflows demand highly performant computer use capabilities. Our team has made major strides in building cost-efficient, self-improving harnesses. Read more from Aryan Jain below: