AI assistants can save small businesses time, but Alignable CEO Eric Groves argues that the bigger opportunity is using AI to understand business relationships and generate referrals. His case offers a concrete counterpoint to the race for ever more capable general-purpose assistants, though Groves has a commercial interest in the answer.
Watch Desk analysis
What happened
In a Fortune commentary, Groves says Meta, Google, OpenAI and Anthropic are competing to make AI assistants for small businesses. He argues that tools connected to a business’s own data, or to relationships between local businesses, could offer more than general advice. Alignable’s product in this area is called Allie.
Groves says about 85% of Alignable members report that referrals bring them customers. He also says that, among members whose ideal customers are in their extended network, the typical member has about 190 such businesses a single introduction away. Those are figures from Alignable’s network and surveys, not a universal measure of how small businesses find customers. Groves also notes that Alignable co-hosts small-business AI training with Anthropic, one of the companies he discusses.
Why it matters
The distinction is between an assistant that saves time and one that can help decide where to spend it. An AI system with access to relevant business relationships might identify potential referral partners or neglected connections. A general assistant without that information can offer tips, but cannot make the same specific recommendations.
That possibility comes with a practical question: whose interests does the assistant serve, and what information can it use? Groves argues that business-specific data and local relationships could matter more than simply automating more tasks. His perspective is informed by Alignable’s business, so it is an argument from an interested operator, not a neutral verdict on which type of AI will win.
Our read
This is a useful reframing of small-business AI: saved hours are only valuable if they go somewhere that helps the business. Groves recommends owners identify the relationships most likely to generate work and deliberately spend time maintaining them. His “50 warm relationships beat 500 cold contacts” line is a rule of thumb from experience, he says, not a measured finding.
The interesting test is whether relationship-focused AI can turn useful data into better decisions without turning trust into yet another sales funnel. The assistant that knows your contacts may be more useful than the one that writes a very polished email to all of them.
What to watch
- Whether AI tools start offering specific, explainable referral suggestions based on business relationships.
- What data those tools use, and whether owners can control or export it.
- Whether users see measurable business growth, rather than time saved alone.
Discussion spark: Would you trust an AI assistant to recommend which business relationships to cultivate, or is that judgement too dependent on personal context and trust?
Sources and evidence
- Source update (7 November 2026, 12:45 UTC)
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