AI multiplies whatever's already there

Northpoint Asset Management, a Salt Lake City property manager with more than 8,000 units, runs AppFolio's AI agents for leasing and maintenance. Chief Innovation Officer Steven Rea says the team found gaps in the property and policy information it had given the leasing agent by auditing the agent's conversations with prospects: “If we hadn't been actively monitoring that, we would have been burning leads that we didn't necessarily need to burn because we were sharing inaccurate information.” The second problem was that leasing staff kept stepping into the agent's conversations. In AppFolio, once a person steps in, the agent can't pick that conversation back up, at least not today. Northpoint's fix was a written rule: the agent owns first contact through tour scheduling, unless it can't answer a question or the prospect asks for a person.

His advice for anyone about to switch an agent on: describe the workflow first, including who owns the result and when the agent hands off to a person, and start with one workflow.

Blazeo surveyed 573 service businesses across financial services, real estate, home services, professional services, legal and healthcare. 74% said they don't respond to new leads within five minutes. Only 35.4% said a five-minute response is essential, and 62.1% of that group said their teams actually meet it, so nearly 38% of the businesses that call it critical miss their own standard. Blazeo's CEO, Ashhad Syed, puts it down to coverage and systems: “Businesses do not have a motivation problem. They have a coverage, handoff and systems problem.”

Asfand Rafiq, a revenue consultant, wrote on LinkedIn about a client where he replaced three SDR seats with an automated Clay-to-Instantly workflow in the fourth quarter of last year. Cost went from $18K a month in loaded SDR pay to $2,400 a month in tools. For the first 60 days outbound volume was four times higher and reply rates held. By day 90 pipeline was up 35%, revenue was flat, and conversion from meeting to opportunity had dropped by half. His explanation: the workflow was booking calls with people who fit the profile on paper but had no active reason to buy. The SDRs had been judging timing from things like job postings and company announcements, nobody had written that down, and so nobody built it into the workflow.

Rebuilding the workflow with buying signals as the first filter took three weeks. Pipeline volume fell 40%, and he says revenue per meeting tripled.

Validity surveyed 500 B2B and B2C marketers in the U.S., U.K., Brazil, Australia and New Zealand for its 2026 CRM data report. Just 21% said their CRM data is “very well prepared” to support AI, and 62% said their organization loses revenue directly because of poor CRM data quality. Nearly a third of teams spend six or more hours a week fixing and reconciling data. And nearly 78% of C-suite respondents said they had acted on an AI recommendation they later suspected was wrong because of bad underlying data, against 41% of individual contributors.

Marchelle Mooney, VP of Sales at Mangomint, which sells software to salons and spas, described this on stage at SaaStr AI London, according to SaaStr's write-up. When she started rolling out AI tools, including Momentum, she found the company's Salesforce was a mess: deals closed with no notes, no call logs and no contact records. The marketing automation platform held 10,000 more data points than Salesforce, even though Salesforce should have held more. Her top rep was closing 35 logos a month, and everything lived in text messages.

Her advice, as SaaStr reports it: pick AI tools based on what makes sure everything flows back to one source of truth, then build agents on top of clean data.

Augie, a volunteer-led insurance technology exchange, surveyed more than 600 insurance professionals at agencies and carriers. 79% of agencies said they use AI in their workflows, and 60% named limited system integration as their most significant operational challenge. 60% of agencies said they re-enter information into several systems across carriers, and half of all respondents said quoting is still the most manual process, ahead of submissions at 39% and renewals at 36%. Augie's executive director, Cal Durland: “The industry doesn't have a shortage of innovation. It has a shortage of integration.”

In a July prediction, Gartner said that by 2028 AI agents will outnumber sellers ten to one, yet fewer than 40% of sellers will say the agents have improved their productivity. It also said chief sales officers “who overhaul data, automation and user experience will be five times more likely to gain ROI from AI than those choosing quick fixes.” Dan Gottlieb, VP Analyst in Gartner's sales practice: “If those systems are fragmented, the agents will scale the fragmentation.”

Jason Lemkin, who runs SaaStr and its 20-plus AI agents, wrote in August that “AI GTM agents don't figure out your go-to-market. They multiply what's already there,” and that “10x times zero is still zero.” He says about 80% of the conversations he and SaaStr's Chief AI Officer have with companies are some version of “I bought a tool and I have no leads.” His list of what to have first starts with at least one human rep closing deals with a defined process, written down specifically enough that a new hire could follow it. St John Dalgleish, CEO of the AI outbound company Perlon AI, said on The AI Revolution Show that for most companies the answer to whether AI SDRs work “so far has been no,” and that “you've got to do some fundamental work on the business first.”

Dalgleish's other point was ownership: the companies he's seen succeed hand responsibility for it to one person, and the more senior that person is, the better.