AI agents

An agent is a hire, not magic.

Four parts working together, one job, and a person who approves what matters. Here's exactly what you get.

You leave with a filled-in Job Card.

Three hires. Three shifts of the work.

One does the day-to-day. One reads your data around the clock. One recommends the next move.

Operational Agent

Owns the workflow end to end.

Not a chatbot, not a copilot. It picks up the work, reads the context across your stack, takes the action and reports back.

Replaces reactive ops drag

Watcher Agent

Reads your data around the clock.

Logs, contracts, ledgers, support queues. Anomalies get flagged before they hit the P&L. Your customer stops being the alarm.

Catches issues before customers do

Advisor Agent

Recommends the next move.

Reads your pipeline, P&L, churn and ops data. Shows its reasoning, so your team can pressure-test it before they act.

Decisions backed by your data

Each one is a real agent on the Claude Agent SDK, and ships with its own handbook.

Every agent ships with the Core Four.

A handbook, a knowledge base, tools and logs. Here they are, filled in for an expense agent.

Handbook

The written rules it works by.

Purpose

Reconcile every expense report against its receipts, every morning.

Decisions

Match within fifty cents. Anything bigger gets flagged, never guessed.

Never do

Never approves payments. Never touches payroll. A human signs off.

Knowledge base

Files

Everything it is allowed to know. Nothing else.

  • expense_report_Q3.xlsxSheet
  • receipts, 1,382 scannedFolder
  • travel_policy.pdfPolicy
  • chart_of_accounts.csvAccounts

Tools

What it can touch, and what stays locked.

  • Read the card feedOn
  • Email flagged reportsOn
  • Move moneyLocked
  • Anything that moves money waits for your yes.

Logs

Every step, written down. Somebody reads them.

  • Scan27 reports pulled from the card feed
  • Match26 clean, inside policy
  • FlagStaples $1,240.00 vs receipt $124.00
  • GateSent for human sign-off

Example: one illustrative expense agent, not a client log.

The YNDR layer

Four more parts in every YNDR agent.

Ships with every YNDR agent. We walk your team through it on the call.

Ask about it on the call
  • Memory

    It remembers what your team taught it.

  • Governance

    It works inside your rules, and can prove it.

  • Learning

    It gets better every week. You approve every change.

  • Night Agent

    While you sleep, it reviews the day and proposes fixes.

You approve what matters.

Every agent has gates: the moments it stops and waits for a person. Those calls stay yours, forever.

Two manuals ship with it.

The Agent Handbook

The rules the agent follows: scope, tools, escalation, what it must never do.

The Operations Manual

The rules your team follows: daily checks, approval gates, the kill switch.

How we keep agents safe

Agents in production, doing the work.

AI Revenue Agent

Voice agent that closes inbound calls end to end.

8-figure annual revenue

Operational Watcher

Inside an enterprise ERP.

Issues caught before P&L impact

Reconciliation Agent

Three-way match across an enterprise AP queue.

Hours back to finance every month

Scheduling Coordinator

Owns a regulated, multi-stakeholder calendar.

Utilization up, conflicts down

  1. Find it.

    Discover, Design, Discuss

  2. Build it.

    Develop, Demo, Deploy

  3. Run it.

    Deliver, then we keep it running or hand it off

How an engagement runs

Give your worst process to a hire.

Thirty minutes on one process. You leave with a filled-in Job Card.

Book a 30-minute call