Ankor Customer story

Ankor built a 30-agent AI workforce for the work nobody could staff.

A yacht-industry software company needed white-glove responsiveness at a scale its headcount couldn't cover. Its CEO built ten agents in the first week.

Lindy tracing an issue across four tools in a Slack channel, then writing up the cause, filing a ticket and flagging the team.
0xReturn on investment, by the CEO's own estimate
0Live in the first week
0Automated across the business

Ankor runs 20–30 active agents today, across marketing, sales, operations and technical support.

At a glance

White-glove service in a relationship-driven industry, without white-glove headcount

Company

Ankor

Industry

Marine / yacht software

Contact

Elliot Cousins
CEO

Stage

Fifth year, scaling fast

Agents run across

MarketingSalesOperationsTechnical support

Before & after

The scale-up dilemma, and what replaced it

As CEO of a fast-growing company in a relationship-driven industry, Elliot Cousins hit the classic scale-up dilemma: more complexity, the same headcount, and clients who expect a personal reply.

  • High-value tasks too small to justify a dedicated hire
  • Personalised client comms that couldn't scale by hand
  • Operations growing faster than the team
  • Every new function meant another headcount conversation

So he built a workforce for the work nobody owned.

The gap
Lead research no owner
Technical support no owner
Content & marketing no owner
Meeting prep no owner

Four functions, none big enough for a full-time hire.

Rather than hiring, Elliot built an AI workforce on Lindy to work alongside Ankor's existing team. Ten functional agents in the first week.

  • 10 agents live within week one
  • 20–30 active agents today
  • Four business functions covered
  • Human-level personalisation, at AI speed

A workforce, not a workflow.

Who owns it now
Lindy all four, 24/7

One platform, 20–30 agents, nobody pulled off other work.

The agents

The four highest-value jobs Ankor handed over — click through them

Lead generation & research

Agents research inbound leads and surface new market opportunities — identifying the right customers and personalising the outreach that follows.

"I spend more time building in Lindy than any other AI software, because the time is incredibly high leverage."

A scheduled Lindy agent posting a weekly competitor research report into a Slack channel.

Lindy product UI

Technical support

Agents monitor app performance, test new features and handle user support. When a client wrote in about the API, the technical agent diagnosed the issue and sent back a researched, personalised reply within minutes.

The client wrote back: "Thanks for the quick and detailed reply, you've solved my issue and hours of my web developer's time."

Lindy triaging an open support queue in Slack and pinging the owners.

Lindy product UI

Content & marketing

Agents create marketing content and schedule it across channels — social posts, newsletters and the reporting that goes with them.

"Lindy felt like hiring 10 employees in a week."

Someone asking Lindy in Slack to build a marketing spend dashboard; Lindy publishes it to the workspace.

Lindy product UI

Meeting & sales prep

Agents research prospects ahead of calls and brief the team — who they're meeting, and the talking points worth having ready.

Exactly the kind of preparation a relationship-driven industry expects, on every call rather than the important ones.

A rep asks Lindy what customers pushed back on; Lindy searches 23 calls and answers with the recurring objections.

Lindy product UI

I think about Lindy as building my workforce. Lindy gives me at least a 5x return on investment, and we're just getting started. Elliot Cousins CEO, Ankor
Elliot Cousins, CEO of Ankor.

Results

What a 30-agent workforce actually changed

  • 5xReturn on investment, by the CEO's own estimate — "and we're just getting started."
  • 10 agentsBuilt and running in the first week, without an engineering team.
  • 20–30Active agents today, spread across four business functions.
  • MinutesTo diagnose and answer a client's API question, researched and personalised.
  • UnstaffedFour functions now covered that were never big enough to justify a dedicated hire.
We had all these high-value tasks that were too small to hire dedicated staff for. In an industry like yachting, our clients expect highly personalised, responsive communications, but we couldn't scale that manually. Elliot Cousins, CEO, Ankor

What it connects to

Agents work across the tools Ankor already runs on

Gmail
Slack
HubSpot
Notion
Zoom
Google Sheets

What's next

Still building

Ankor is not finished adding agents. Elliot describes the time he spends building in Lindy as his highest-leverage hour of the day, and the agent count has roughly tripled since the first week.

The model holds because nothing needed an engineer: every agent was built by the person who understood the job it was replacing.

Build your own workforce.

Free to try. Elliot had ten agents running in his first week.