Executives Don't Search for Information – It Should Come to Them

01 /The Concept

Fora built an AI assistant designed specifically for the C-suite.

To be precise: the C-suite refers to senior executives whose titles start with "Chief" – CEO, COO, CTO, CFO, and so on. It's a specific role category with a distinct work pattern, and that's exactly what makes Fora interesting.

The first function of the assistant is proactive insight delivery – surfacing what's actually happening across the company and within each executive's specific domain, without them having to go look for it. As Fora puts it, the executive doesn't need to spend time finding problems; they can focus on solving them.

The goal is to surface important signals early enough to intervene – before a problem becomes a crisis, not after. To do this, the AI analyzes incoming emails, presentations, and meeting transcripts (including meetings the executive didn't attend), plus current operational metrics and their trends, pulled from connected company systems.

The second function is meeting preparation. The assistant reminds executives of upcoming meetings, identifies who's attending, and – crucially – clarifies the purpose of each meeting and what each participant's interests and stakes are. The point is to let the executive arrive with a plan rather than having to read the room from scratch once things are underway.

The third function is strategic planning support. The data sources are the same – email, transcripts, presentations, operational systems – but the analysis runs through an OKR (Objectives and Key Results) framework, with an emphasis on surfacing opportunities rather than just flagging problems.

Fora pays particular attention to data security: sensitive company information processed by the AI stays within a secure perimeter.

The platform is in early access. Getting in requires booking a call with the CEO personally – who meets with every prospective user. Despite that early stage, Fora has raised $3.8M in pre-seed funding.

02 /Why It Matters

Fora has coined a category name for its platform: Executive Relationship Management (ERM). The analogy is to CRM – Customer Relationship Management – the software that structures how sales teams manage relationships with external customers. ERM applies the same logic internally: the relationship being managed is between the executive and the organization.

This maps onto a broader trend: internal corporate communication is increasingly being designed using the same principles as customer communication. Employees, in a sense, are internal customers too.

Workshop, [covered previously](/review/da-prosto-vozmi-i-perenesi), built what amounts to a MailChimp for internal communications – a dedicated email platform for employee newsletters and announcements. That specific focus was enough to raise $20.7M.

Fora points information flow in the other direction – from the organization toward its leaders – but the underlying logic is the same.

Groopit, [covered here](/review/neochevidnoe-sledstvie-pooshhrenie-iniciativy), adds another data point: companies typically make product and strategy decisions based on user surveys. Groopit does the same thing internally – running surveys among employees to inform management decisions. They position themselves as a new category of enterprise platform and have raised $12.8M.

Fora's founders note that "the AI market is full of products built for office workers and engineers. Fora is different – it's built for executives." This is a fair distinction, not a marketing claim. C-suite work patterns are genuinely different: higher stakes, less time, more context-switching, more need for synthesis over data.

This positioning also fits neatly into the specialization trend – the idea that general-purpose AI assistants are giving way to purpose-built tools for specific roles and task types, because domain-specific tools can outperform generalists within their niche.

But the executive angle carries a practical bonus: it justifies premium pricing. Vertu once sold phones with identical functionality to standard smartphones for an average of $20,000–$40,000. The product was the same; the positioning was entirely different. An AI assistant for C-suite executives, functionally similar to existing tools but priced at 10–20x – is a plausible outcome here.

For reference: luxury-tier services can create price floors just by controlling access. Myria ([related review](/review/paradoksalnaja-strategija-vyzhivanija)) charges from $30,000/year for access to their curated marketplace; Long Story Short charges $1,000/month just for entry. Part of the value in both cases is access to other subscribers.

03 /Opportunities

The main takeaway is that the search for specialized AI assistant niches continues to accelerate. Products are appearing even for niches that don't seem obvious at first – like C-suite executives.

The primary direction: find the right niche, build a purpose-specific AI assistant for it.

What niche do you see clearly? And which ones might actually be more valuable precisely because they're non-obvious – because others haven't spotted them either?

A narrow niche doesn't have to mean a small business. Fora demonstrates that narrow niche × premium price can produce serious economics. But there are likely other niches – beyond status – where elevated prices are justified by real urgency or complexity. What are those niches? Who's the buyer? Why would they pay more?

And what additional services could be bundled with the AI assistant to further justify the premium? Myria's ability to charge more than a comparable platform came partly from peer access to other high-value subscribers. What's the equivalent for the niche you're looking at?