Clearlane
Tell us what to automate

We Install An AI Agent In Your Business In Under A Week
So You Can Stop Paying People To Do Work An Agent Can Do.

Start replacing the repetitive work that is costing you time, money, and headcount without touching a single technical setting yourself.

The work that should not need people keeps needing people.

And when you hire someone to handle it, you get a new set of problems. You train them up, they do it inconsistently, and eventually they leave. Then you start over.

YouTube marketing agency

Was hiring strategists to audit new clients coming in. Every audit took hours, quality varied by person, and every time someone left they had to rehire and retrain from scratch.

They replaced the auditing workflow with an agent. Now every client gets the same quality audit in minutes and the role scales without adding headcount.

Capital advisory firm

The founder was personally spending 4+ hours per deal manually researching and validating potential investors. The work was too complex to hand off to an employee so it stayed on his plate and slowed down every deal.

We built an agent that handles the research, validates each investor against the deal criteria, and outputs a clean ranked list ready to use. The founder stopped touching it entirely. Four hours back per deal. Every deal.

Insurance advisory firm

Needed to build a contact list for cold outbound. Their tools capped them at 25 contacts per day and buying lists was too expensive to test with.

We replaced the sourcing workflow with an agent. 40,000 validated contacts in one day, campaign launched the same week, 55% open rate.

If it happens the same way more than twice, an agent can own it.

Vero Ventures
Nikita scraped 40,000 validated advisor contacts in a day after we hit Apollo's rate limits. The list powered a cold outbound campaign that hit a 55% open rate. Fast, clean, and it actually worked.
Yaniv Talmor

Yaniv Talmor

Vero Ventures

Spike Capital
Before Clearlane, every deal started with hours of manual investor research. Nikita built a workflow that structured the whole process and we save roughly four hours per deal. Output is cleaner and the team can run it without me.
Sahir Bhagudi

Sahir Bhagudi

Spike Capital

Case Studies

Results from real engagements.

Spike Capital

Boutique capital advisory firm raising institutional capital for real estate and investment deals.

~4 hrs saved

per deal

Consistent output regardless of deal volume
Founder removed from the research loop completely
Lists come out ranked, validated, and ready to use

The Challenge

The founder was personally spending 4+ hours per deal researching and validating potential investors. The work required too much judgment to hand off to an employee, so it never left his plate. Every deal slowed down while he worked through it manually, and the quality of the output still depended entirely on how much time he had that week.

What We Built

We mapped exactly how the founder was evaluating investors, what criteria mattered, what disqualified someone, and what the output needed to look like for the team to act on it. We turned that logic into an agent that runs the research, scores each investor against the deal criteria, flags edge cases for human review, and outputs a clean ranked list the team can use without a review cycle. The founder stopped touching investor research entirely.

Vero Ventures

Insurance advisory firm validating demand through cold outbound.

55%

open rate on cold outbound

40,000+ validated contacts built in one day
Campaign launched the same week

The Challenge

Their outbound tools capped contacts at roughly 25 per day. Buying lists was too expensive to test with. The campaign could not launch until the list problem was solved.

What We Built

We identified exactly where the sourcing was breaking: volume before the campaign even started. We built an agent to solve that specific constraint. Contacts were sourced from publicly available directories, validated for accuracy, and deduplicated so the list was clean before it touched the outbound tool. The team went from no usable list to 40,000+ validated contacts ready to send without waiting on a vendor or blowing the budget.

Services

These are the workflows AI agents handle best.

If it is repetitive, rule-based, and currently depends on someone remembering to do it, an agent can own it.

Lead intake and follow-up

An agent qualifies, routes, and follows up on every lead without anyone having to remember to do it.

  • Every lead gets a response within minutes, not hours
  • Priority and routing happen automatically
  • Nothing falls through because no one was watching

Sales-to-delivery handoff

The deal closes and the agent packages everything the delivery team needs before anyone has to ask.

  • Scope details arrive structured, not buried in a thread
  • Delivery teams start with the full picture
  • No repeat questions the client already answered

Client onboarding

The agent drives the onboarding sequence so your team stops chasing and starts executing.

  • Clients move through steps without manual prompting
  • Missing information gets collected automatically
  • Work starts faster with less back-and-forth

Recurring admin and internal routing

Any work that happens the same way more than twice can be owned by an agent.

  • Recurring tasks run on schedule without anyone managing them
  • Internal routing decisions happen automatically
  • Operator time goes to work that actually needs a person

Auditing and qualification

Any role that reviews incoming work against a consistent set of criteria is a candidate for replacement.

  • New clients, leads, or applicants get evaluated instantly
  • Output quality stays consistent regardless of volume
  • You stop paying someone to do work a set of rules can do

How It Works

One agent. One workflow. Running in under a week.

01

Tell us what to automate

Describe the task in plain language. No technical knowledge needed. If you can explain it to a new hire, we can build an agent for it.

02

We build it

We map the logic, edge cases, and handoff points then build the agent directly into your current stack. No new tools forced on your team.

03

We hand it off running

We test it against real inputs until the output is clean, document it so your team can maintain it, and walk you through it. Not just a Loom.

CORE OFFER

AI Agent Install Sprint

One workflow. One agent. Built and handed off running in under a week.

What happens

  • Identify the specific workflow the agent will own
  • Map the logic, edge cases, and handoff points
  • Build the agent into your current stack
  • Test it against real inputs until the output is clean
  • Document it so your team can run and maintain it
  • Hand it off with a walkthrough, not just a Loom

What changes after

  • The workflow runs without anyone managing it
  • Your team stops doing work the agent can own
  • Nothing gets dropped because no one was watching
  • Less founder involvement in day-to-day execution
  • More output from the same team

If the agent is not running cleanly by the end of the sprint, you do not pay.

Founder-led teams with a specific recurring workflow they already know should not need a person every time it runs.

Tell us what to automate

FAQ

Common questions.

Tell us the workflow you want off your plate.

One agent. One workflow. Running in under a week.