Fort Lauderdale, FL, Sept. 15, 2025 (GLOBE NEWSWIRE) — Ronald Osborne Business Coach announced a comprehensive AI driven playbook that helps small-business owners and startup founders compress time-to-revenue, strengthen internal infrastructure, and lower operating expenses. From the firm’s headquarters at 401 East Las Olas Boulevard, Suite 1400, Fort Lauderdale, FL 33301, the business coach leverages autonomous and semi‑autonomous AI agents for lead generation, onboarding, knowledge management, and client success bringing enterprise-grade capability to Main Street.

Small businesses power the U.S. economy, and the stakes are significant: they employ nearly half the workforce and account for 43.5% of America’s GDP, according to the U.S. Chamber of Commerce. Any edge that speeds growth or trims costs matters to communities across Broward County and the broader Miami Fort Lauderdale West Palm Beach metro. (U.S. Chamber of Commerce)

The approach pairs hands‑on startup coaching with a modular stack of AI agents: a Lead Qualification Agent that scores and routes inbound interest; a RevOps Agent that drafts proposals and nudges follow‑ups; an Ops “Brain” that surfaces SOPs and answers policy questions in real time; and a Customer Care Agent that handles Tier‑0/1 requests before escalating to humans. Each agent integrates with common CRMs, help desks, and marketing automation platforms so teams keep existing workflows while the business coach, Ronald Osborne, orchestrates measurable outcomes.

External research reinforces the thesis behind this rollout. In a randomized field deployment studied by researchers and later published in The Quarterly Journal of Economics, access to a generative‑AI assistant increased agent productivity by ~14% on average, with the largest gains for less‑experienced workers precisely the profile found in many early‑stage firms. (Oxford Academic)

Revenue impact tracks with sales adoption trends. Salesforce’s multi‑industry studies report that 83% of sales teams using AI grew revenue year over year (vs. 66% without AI), and 92% of service teams say AI reduces their costs clear signals that the right AI agents can both grow the top line and lighten the cost base. (Salesforce)

Adoption is no longer fringe. McKinsey’s latest State of AI finds regular generative‑AI use surged to roughly seven in ten organizations, with marketing, sales, service operations, and IT leading the way exactly where Osborne’s playbooks deploy AI agents first. (McKinsey & Company)

The business coach frames the program in pragmatic terms. Rather than chasing novelty, Ronald Osborne sequences startup coaching sprints around three levers: (1) shorten cycle time from lead to invoice; (2) lift output per employee via agent‑assisted execution; and (3) strip recurring overhead by automating low‑variance tasks. The firm then operationalizes governance human-in-the-loop checkpoints, data retention rules, and brand‑safe templates so owners get speed without losing control.

Early client engagements in South Florida mirror the broader evidence base. Teams report leaner pipelines that move faster, cleaner documentation that anyone can retrieve, and customer requests resolved at lower marginal cost. These results align with OECD findings that generative AI significantly improves workforce efficiency when paired with process adaptation an emphasis that anchors Osborne’s method.

Crucially, the press‑to‑perform design serves both scrappy startups and established small businesses. A founder can launch with one or two agents and scale to a full suite as volume grows. A multi‑location service firm can pilot the Customer Care Agent on after‑hours tickets, then expand to warranty claims and proactive retention sequences. Throughout, the business coach measures lift using familiar metrics time‑to‑first‑response, proposals sent per rep, average handle time, cost per ticket, and booked revenue so leaders see cause, effect, and ROI with board‑ready clarity.

About Ronald Osborne Business Coach

Ronald Osborne Business Coach is a Fort Lauderdale based advisory led by Ronald Osborne, focused on startup coaching, growth operations, and AI‑enabled transformation for small businesses. The firm’s AI agent playbooks translate cutting‑edge research into day‑to‑day execution so founders and operators achieve durable growth with fewer resources.

https://thenewsfront.com/business-coach-ronald-osborne-deploys-ai-agents-to-accelerate-startup-coaching-and-cut-costs-for-small-businesses/

Snowflake, a cloud-based data storage company, takes the top spot on the list released this morning, followed closely by data, analytics, and AI provider Databricks. Both companies are fueled by the rise of AI in business—their platforms enable organizations to unlock and activate their own data as the foundation for artificial intelligence. Rounding out the top five are Celonis, DataRobot, and Astera Labs.

Since 2017, Fortune has partnered with the consulting firm BCG to publish the Future 50, an annual index of global companies, both publicly traded and venture-backed private firms, with the strongest prospects for above-average, long-term growth. The list highlights top scorers in “corporate vitality,” a measurable and manageable quality that reflects a company’s innate ability to expand.

Snowflake is not only well-positioned for growth but also preparing for leadership changes. Earlier this month, the company announced that Brian Robins will become CFO on Sept. 22, succeeding Mike Scarpelli, who is retiring. Robins served as CFO of GitLab since 2020 and, before that, held CFO roles at Sisense, Cylance, AlienVault, and Verisign, a Nasdaq-listed company.

“Snowflake is at the center of the AI revolution,” Robins said in a statement. He added, “I am thrilled to be a part of this hyper-growth phase.” Robins plans to help the company scale efficiently to achieve its vision.

Sridhar Ramaswamy, CEO of Snowflake, echoed that sentiment: “Brian’s deep commitment to operational rigor and long-term high growth aligns perfectly with the strategic direction of Snowflake.”

Robins will be tasked with sustaining Snowflake’s momentum. For the quarter that ended July 31, the company reported earnings of 35 cents per share, nearly double from the same period last year. Revenue climbed 32% to $1.1 billion, surpassing estimates of $1.09 billion.

With a new finance chief, rising demand for AI-powered solutions, and continued revenue growth, Snowflake is aiming to remain a dominant force. View the complete Fortune Future 50 list here.

Sheryl Estrada
sheryl.estrada@fortune.com

Leaderboard

Joshua Reed was appointed CFO of Alkermes plc (Nasdaq: ALKS), effective Sept. 15. Reed brings over 30 years of financial leadership experience. Most recently, he served as CFO of Omega Therapeutics, a then publicly traded biotechnology company. Before that, Reed was the CFO at Aldeyra Therapeutics. Earlier in his career, he spent more than a decade at Bristol Myers Squibb, culminating in his role as VP and head of finance operations for the U.S. and Puerto Rico.

Travis T. Thomas, CFO of Ring Energy, Inc. (NYSE American: REI), has resigned effective immediately to pursue other opportunities. According to the company’s announcement, his resignation was not the result of any disagreement between Ring Energy and Thomas regarding financial, operational, policy, or governance matters. Rocky Kwon, currently VP of accounting, controller, and assistant treasurer, has been appointed interim CFO. The company has begun a search for a permanent replacement.

Big Deal

Americans’ trust in the responsible use of AI has improved since Gallup began measuring the topic in 2023, according to a newly released report. This year, about a third (31%) of Americans surveyed said they trust businesses to use AI responsibly—3% said “a lot,” and 28% said “somewhat.” In 2023, only 21% expressed trust in businesses’ use of AI.

Still, skepticism remains. Forty-one percent of respondents this year said they do not trust businesses much when it comes to using AI responsibly, while 28% said they do not trust them at all.

The findings come from the latest Bentley University–Gallup Business in Society survey, based on responses from 3,007 U.S. adults in a web-based poll.

According to Gallup, the challenge businesses face as they deploy AI is clear: “They must not only demonstrate the technology’s benefits but also show, through transparent practices, that it will not come at the expense of workers or broader public trust.”

Going deeper

“Unconscious Uncoupling: CFO Business Partnering 2025” is a report by Datarails based on a survey of 240 U.S. heads of sales, marketing, HR, IT, customer service, and R&D departments regarding their relationships with CFOs. Although finance teams have evolved into strategic business partners, nearly all business executives (97%) still view their finance chief’s primary role as “limiting spending.”

Overheard

“In the same way that every company became a technology company, I think that every company will become an AI company.”

—Robinhood CEO Vlad Tenev told David Rubenstein last week during an interview on Bloomberg Wealth.

Last month, in Japan, venture capitalist Deedy Das was supposed to be off the grid, focused solely on proposing to his girlfriend. Two nights into the trip, the deal flow found him anyway.

A founder he’d been getting to know over eight months texted to say he was kicking off a raise. Other investors were circling, but the founder wanted Das and his firm, Menlo Ventures, at the table. So between temple visits and kaiseki meals — and once when he told his girlfriend he was soaking at the onsen — Das coordinated with colleagues back home.

The day after he returned to California, the founder pitched Menlo’s partners. That evening, Das — newly engaged — and the founder celebrated a handshake agreement over Japanese food at Ozumo.

In only a year and a half working in venture, Das has quickly become one to watch. He joined Menlo after stints as an engineer at Facebook and Google, and as an early employee at the enterprise search company Glean, where he helped scale the business from having no product to a $2.2 billion valuation. In June, that figure jumped to $7.2 billion.

At Menlo, he’s carved out a role at the cutting edge of artificial intelligence, infrastructure, and enterprise software investing. He helped launch the firm’s $100 million Anthology Fund, a joint venture with Anthropic, and earned a reputation for his unusually technical diligence. Now, with his promotion to partner, Das is part of a new generation climbing venture capital’s ranks.

Increasingly, firms are looking to leaders who come from the trenches of engineering and startups, not just the spreadsheet jockeys groomed in banking. In today’s market, where breakthroughs come wrapped in jargon and white papers, technical fluency isn’t a nice-to-have. It’s practically the job description.

Menlo is bulking up its roster with investors who bring technical bona fides. This year, it hired cybersecurity guru Matt Kraning, who sold his startup to Palo Alto Networks in a deal topping $1 billion.

Tim Tully, a general partner and Splunk’s former chief tech officer, previously told Business Insider, founders “want investors who they can talk shop with.”

Inside track

Deep learning and natural language processing have always been central to Glean’s products. But as models advanced gradually, then all at once, CEO Arvind Jain assembled a dedicated “tiger team” of engineers to fold the latest capabilities into the platform.

Das led that effort, steering the company beyond its original Google-like search interface into something that digests data, interprets it, and can perform tasks on a user’s behalf. Today, the company is on pace to hit $250 million in annualized revenue by the end of the year, up from $100 million in 2024.

Jain says the systems and products that Das, who left Glean in 2024, helped create are “still central to how our customers use Glean.”

“I’ve known Deedy for many years,” Jain said, “his impact at Glean was significant as a founding engineer — from shaping our products and raising the bar on engineering excellence to mentoring teammates and helping build the culture that carried us through scale.”

Das says his background gave him an early read on OpenRouter, which offers developers a single platform to access multiple large language models. Having built a version of the same tool at Glean, he knew the demand would be real.

When he met founder Alex Atallah, Das didn’t hedge: “This is absolutely going to be useful. Model velocity is not going to stop. Whenever you’re ready to raise, we’re in.” He laughs now, knowing that he didn’t have the authority to promise that deal, but was willing to bluff. Menlo first backed the startup with a modest check through the Anthology Fund before doubling down to lead the $40 million Series A in June.

Over the past year, Das says OpenRouter has scaled from processing about 10 trillion tokens annually to more than 250 trillion — a 25x jump in throughput. Because its business model ties revenue directly to usage, that surge suggests revenue has grown in lockstep.

Das’s other investments include Wispr Flow, an app that turns messy speech into polished writing, and Goodfire, a research lab focused on understanding why machine learning models behave the way they do. Both came in through the Anthology Fund before Menlo followed on with more capital. These deals and others earned Das a spot on Business Insider’s 2024 list of the rising stars of the venture capital industry.

“Deedy is someone who has conviction in bold ideas where others may be skeptical,” says Goodfire CEO Eric Ho. “He has an ability to see the future in a way.”

The same technical rigor that helps Das land deals also cuts through hype.

A few months ago, Das looked at a pitch from a buzzy startup raising a round and thought its cohort retention curve, a measure of product stickiness, looked too good. He was right. After pulling an Excel file from the company’s data room, he ran the numbers through Claude Code to re-graph the curve. He realized the startup had juiced the math to make retention look stronger than it was.

Between sourcing deals and reading white papers, Das also leans on AI to boost his own productivity. He uses Wispr to send texts and clear his inbox faster. With Claude, he vibe-coded a news aggregator that pulls updates from his preferred sources. He’s built one agent to research people on his calendar, and another that scrapes LinkedIn to find out who’s starting companies.

“It’s kind of strange,” Das laughs. “We invest in the cutting edge, but most venture firms don’t use any cutting-edge technology to do their actual work.”

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