9 AI Tools Founders Use to Run a Business in 2026

9 AI Tools Founders Use To Run A Business In 2026

It is now possible to run an entire company on a technology stack that costs less than a single junior employee’s salary. The tools are available, the founders using them are already gaining a competitive edge, and the list of truly essential applications is far shorter than the general noise suggests.

I founded Coachvox in 2023 to build AI versions of coaches and consultants, and I wrote the AI-Powered Coaching Business Playbook to guide founders on which tools to use and when. To get a real-world perspective, I asked my LinkedIn network to name the one AI tool they could not live without.

Founders and consultants responded with the specific tools they rely on, the exact jobs those tools handle, and the measurable changes they have seen in their businesses. Below are nine of those responses, the specific work each tool takes off your plate, and the risk that almost nobody in the thread mentioned.

Claude As The Irreplaceable Team Member

Around 30% of the people who responded chose Claude, making it roughly three times more popular than the next most-cited tool. Anjali Chawla, a LinkedIn and business coach, has built Claude into what she describes as “an AI chief of staff that knows my 9 years of business experience, frameworks, systems, goals and how I make decisions.” She attributes a 5x increase in revenue over six months to this approach, explaining, “I stopped using it as a content machine and started using it as a business intelligence layer.” Her advice is to feed Claude everything you know about your business before you ask it for anything.

Laura Cullen-Day, who mentors bookkeepers, described Claude as the employee of the year who does not need a duvet day and does not want to be paid. El Wong, who trains small business owners, uses Claude for a morning debrief and her admin tasks, and says it rebuilt her website and added intake forms. Her clients save between eight and ten hours a week as a result. Each founder describes the same sequence: context first, work second.

Around 10% of respondents specifically named Claude Code, the version that operates in a terminal. Philippe Larcher, a fractional second-in-command, does 100% of his work inside what he calls his Claude Code Company OS, and says it is now “horribly embarrassing” to work without it. Helen Dawson, a digital consultant, has systemized most of her back office into repeatable processes and gave the chief of staff of her digital workforce a name, Columbo, because he always asks just one more thing before he leaves. For these founders, the tool has become the place where their companies live.

ChatGPT As A Thinking Partner

Interestingly, almost none of the founders surveyed mentioned using ChatGPT for writing. Only around 10% selected it as their primary tool, placing it level with Lovable and trailing behind Claude. Instead, its most valued application appears to be as a sounding board for refining ideas.

Abhilesh J., who specializes in founder positioning, uses the AI as an inquiry partner to work through half-formed thoughts about buyer psychology. He notes that the primary benefit is not receiving better answers, but rather learning to ask better questions. After a session, he typically leaves with a fundamentally different perspective on the problem at hand. While anyone can generate a draft in 20 seconds, very few leverage the tool to rigorously interrogate a decision before committing to it.

Junaid Ahmed, a business automation specialist, adopts a similar approach, using the platform to map out workflows and pressure-test critical decisions. Sarah Dennis, who mentors musicians, highlighted a use case that resonates with anyone juggling multiple responsibilities. Working on several projects simultaneously, she often gets interrupted and loses her place. She simply asks for a summary of her progress and picks the thread back up without missing a beat. This habit effectively eliminates the mental tax that distracted founders pay all day when they lose their train of thought.

Build The Software You Could Not Find

The days of scoping a project for an engineering team and waiting months for a build are fading. For many, software that once required a dedicated development sprint can now be launched in a single weekend. Around 10% of founders chose Lovable for this purpose, and their results demonstrate a significant shift in what is possible.

Beenish Saeed used the platform to ship Capucine, a luxury clinic finder for London, in just 48 hours without writing a single line of code. Having spent her career scoping ideas for engineers, she notes that the distance between a concept and a live product has collapsed to a weekend. Her work was recognized when she was selected from roughly 3,000 applicants for Lovable’s build sprint for women, underscoring the competitive edge that rapid building provides.

This trend extends beyond new ventures. Jenna Farmer built an app for her PR membership, allowing members to create media pitches and headlines themselves. The launch generated £2,000 in revenue from new members. She then applied the same tool to create custom timetables and timers for her autistic son, which she reports are making daily life considerably easier. Similarly, Danyail Lawton constructed the client portals through which she onboards and manages accounts, removing the need for third-party software.

These examples point to a broader opportunity. It is worth examining the software you currently pay for and asking yourself which parts you would design differently if you had the tools to do so today. The barrier to entry is no longer technical skill, but the willingness to identify a problem and start building.

Talk Your Way Through The Day

Voice dictation has evolved from a last-resort accessibility feature into a primary productivity tool for many founders and executives. The modern approach is simple: speak the sentence and let the AI type it. Several business leaders have adopted Wispr Flow for this purpose. Brendan Ellis, a technology and leadership advisor, describes it as the most effective method for getting thoughts out of your head and onto the page with accuracy. Amogha Dalvi, an AI-native growth marketer, reports that he cannot operate without it in his daily workflow.

The shift in perception is significant. Dictation used to be reserved for situations where typing was physically impossible. Now, for many users, it is faster than typing and produces text that can be fed directly into other AI tools for further processing. The barrier to entry has lowered considerably, making voice a viable input method for drafting emails, documents, and creative work.

Meetings have received a similar upgrade. Michelle Rakshys, a former Amazon chief of staff, selected Granola for its note-taking capabilities. The tool captures meeting notes without joining the call as a separate participant, and it operates seamlessly across Teams, Zoom, and Google Meet. This allows her to stay focused on the conversation rather than managing logistics.

Other professionals are using AI to extract more value from their sales and coaching interactions. Ambroise Debret, a growth marketing consultant, uses Fathom to trigger automations that analyze his sales calls. This system provides his team with direct feedback and prepares a briefing before every coaching call, ensuring he knows where each person stands before the conversation begins. The time saved by talking notes instead of typing them is often cited as the easiest hour to reclaim in a busy month.

Give The AI A Memory Of What You Know

A common frustration with general AI tools is that every conversation starts from a blank slate. To solve this, many users are turning to platforms that allow them to build a persistent knowledge base. Anjali Tripathi, who writes for founders, uses NotebookLM as her primary research partner. She populates it with podcasts, sales calls, newsletters, PDFs, and voice notes. Once the material is loaded, she asks the AI to identify contradictions, recurring beliefs, or stories her clients frequently repeat.

Tripathi describes the experience as less like using an AI writer and more like having a research partner who never gets tired. The key insight is that the interesting material was already present in her recordings and documents; the challenge was finding the time to review them manually. The AI tool solves that bottleneck by processing the information quickly and surfacing the most relevant patterns.

Two founders have taken this concept further by creating custom AI versions of themselves. Helene Rennervik, an executive leadership advisor, built Helene AI using Coachvox. The goal was to convert more than 30 years of professional experience into a resource that her clients can access at any hour. Rennervik emphasizes that it is not a generic AI; it represents her own voice, coaching style, and perspective.

Similarly, Kirsten Bombdiggity, a coach for women over 40, built an AI version for one of her companies. She uses it alongside Claude Cowork and Circleback to manage client interactions. The underlying principle is that expertise confined to your head requires you to be physically present to be useful. By creating an AI that understands your unique perspective, you scale your availability beyond the limits of your time.

What These AI Tools Change About The Way You Run A Business

Tony Latimer, an executive coach to CEOs, takes a different approach to the AI tool ecosystem. He uses Obsidian as his primary knowledge management system and anticipates debate about whether it qualifies as an AI tool. His reasoning is practical: the biggest risk in building a business around a specific AI tool is that the tool might disappear. To mitigate this risk, he keeps his knowledge and client records in an Obsidian structure and connects whatever AI model he prefers at the time.

His workflow is intentionally flexible. Today it may be Claude; yesterday it was ChatGPT. The constant is the underlying structure that he controls. The lesson for business owners is to provide the AI with the context it needs to be useful, but to retain the output in a system you own and manage. This approach ensures continuity even as the AI landscape evolves, protecting your data and your operational knowledge from platform-specific risks.