Arclynx Take the AI audit

AI agents for business, built to do real work

Growing companies rarely need dozens of agents. They need two or three that each take one recurring job off a busy person: the shared inbox, inbound leads, vendor paperwork, the weekly numbers. We pick those, build them on the major model APIs and run them with a named owner on your side.

  • Each agent gets a written job description and limits
  • Drafts and record changes wait for approval at first
  • A weekly review of what every agent did

Signs a business is ready for an agent

One person is the bottleneck

The office manager or ops lead reads every inbound email and decides who handles it. When they are out, everything stalls.

Volume outgrows hiring

Work jumps after a campaign or a big contract, and there is no time to hire and train someone before it lands.

A packaged AI app did not fit

It wanted you to change how you work, or it could not see your CRM and file shares, so the team stopped opening it.

Agents that fit a 5 to 200 person company

Each one is a single role with set inputs, tools it may use, and actions it may only propose.

Shared inbox agent

Reads info@ and orders@ in Gmail or Outlook, labels each message, drafts replies for routine ones and assigns the rest to the right person in Slack or Teams.

Lead qualification agent

Checks new inquiries against your fit criteria, looks them up in HubSpot or Pipedrive, and books or routes the good ones.

Paperwork intake agent

Pulls W-9s, certificates of insurance, signed contracts and order forms from email, files them in Google Drive or SharePoint, and records what is still missing.

Follow-up agent

Watches quotes, proposals and open requests for silence and drafts the next nudge in the owner's voice for approval.

Weekly numbers agent

Assembles figures from QuickBooks, the CRM and the help desk into a short Monday summary of what changed and why.

Company knowledge agent

Answers staff questions from your handbooks, SOPs and past tickets, linking the source file so every answer can be checked.

Why agents stick here when apps did not

Sized for a team with no IT department

Every agent has a named owner on your side, a one-click pause and a plain-English log they can read without calling us.

Fewer agents, each one finished

Two agents that work every day beat ten half-built ones. We do not start the next until the first is trusted by the person it helps.

They see your real systems

Agents read your CRM, file shares and accounting data through official APIs, so their answers carry your context, not generic text.

Usage-based running costs

Model usage bills to your own provider account per run, so a slow month costs less and there is no per-seat agent license.

“He got me 9 sales in my first 7 days of launching our campaign, which exceeded my expectations!”
Bob Kern, Google review
5.0on Google for our sister company, Better Service Leads, which does our clients' lead generation, SEO and paid ads.

Common questions

What is an AI agent for business?

Software that takes a recurring task, works out the steps, uses your tools to carry them out and reports what it did. Unlike a script it handles varied inputs such as free-text emails, and unlike a chatbot it acts inside your systems.

How many agents does a company our size need?

Most companies with 5 to 200 staff get real value from two or three, aimed at the jobs that interrupt the most people. We would rather run a few well than spread thin.

Who on our team has to look after an agent?

One owner per agent, usually the person whose work it takes over. Expect them to spend some time each day on approvals in the early weeks, dropping as task categories go hands-off.

Should we buy an agent app or have one built?

Buy when a packaged agent inside a tool you already use, such as your help desk or CRM, covers the job. Build when the work crosses several systems or depends on rules specific to your business.

What can an agent never do without approval?

By default: move money, delete records, change prices or terms, or message a customer about something new. You can tighten that list; we only loosen it after a track record.

What happens when the person who owns the agent leaves?

The job description, logs and approval history stay with the company. A new owner can read what the agent does and why, and we walk them through it.

Find the agent that should go first

The 2-minute AI audit points to the job in your business an agent should take over first.

Take the AI audit
  1. Write the agent's job description

    Inputs, tools it may call, actions it may take alone, actions it must propose, and who on your team owns it. One page, signed off by you.

  2. Start it on read and draft only

    At first the agent cannot send, edit records or delete anything. Your owner reviews every draft and proposed change.

  3. Widen permissions by track record

    When a task category has been approved without edits over a sustained stretch, it can go hands-off. Everything else stays in the queue.

  4. Review weekly, then monthly

    A short report covers volume, approval rate, edits, errors and cost. We tune the agent, and anyone on your side can pause it with one switch.