Workflow automation

Every support reply you write from scratch costs you twice

Once in the time it takes to dig up the answer. Again in the customer who waited two days and the work that got pushed aside to make room. Here's what support looks like when AI drafts from your real policies and your team just approves.

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The manual version

Where the time actually goes

Watch someone on your team answer a routine support email and time each part. The writing is the short bit.

Most of the clock goes to reconstruction: figuring out what the customer is really asking, finding their order or account, and hunting down what your policy actually says about this exact situation. Then the reply gets written, reread, and softened, because getting the tone wrong with a frustrated customer is expensive.

Now add the switching cost. Every ticket interrupts whatever your team was doing, and the queue never announces when it's done. It just refills.

Reading the thread and decoding what's actually being asked
Pulling up the order, account, or booking in another tab
Checking the policy, or asking the one person who knows it by heart
Writing the reply, then rewriting it to sound less annoyed
Re-finding context on the ticket that sat waiting for two days

agentclaw · workflow run

$ claw run invoice-intake

→ 47 documents queued

→ extracted · matched · posted

✓ done in 3m 12s · 0 exceptions escalated

The automated version

Draft, approve, send

The agent does the reconstruction. Your team does the judgment.

01
The agent reads and preps every ticket
Each inbound message gets read, classified by intent (refund, delivery status, cancellation, complaint), and enriched with the customer's order or account data pulled from your systems. By the time a human sees the ticket, the context-hunting is already done.
02
It drafts a reply from your actual policies
Drafts are grounded in your policy docs, help articles, and past replies your team approved. If your refund window is 30 days, the draft says 30 days and notes where that rule lives. Anything the agent can't tie to a source gets flagged instead of guessed.
03
A human approves, edits, or escalates
Drafts land in an approval queue. Your team reads, tweaks if needed, and sends. Angry customers, legal language, and anything outside policy route straight to a person with the full context attached. Every edit teaches the system what a better draft looks like.

Signs it's time to automate this

You don't need all of these. Two or three is enough.

First response time is measured in days and you've stopped apologizing for it
The same ten questions make up most of the queue: order status, refund terms, rescheduling, access issues
Answers change depending on who's working that day, because policy lives in people's heads
Support is somebody's second job, so it gets done at 9pm or not at all
You wrote canned responses months ago and nobody uses them because they still need editing every time
Monday morning starts with clearing the weekend backlog before any real work begins

Straight answers

Does the AI send replies on its own?+

Not on day one, and never without your sign-off. The system is built approve-first: every draft waits for a human. After you've watched it perform for a few weeks, you can choose narrow categories, like order-status lookups, to send automatically. That's a call you make with evidence in hand, not a default we impose.

What happens when a customer asks something the AI can't answer?+

It escalates instead of improvising. If the agent can't ground a reply in your policies or the customer's account data, or the message reads as angry, legal, or unusual, the ticket routes to a human with everything already assembled: the thread, the account, the closest matching policy. A confident wrong answer is worse than a fast handoff, so the system is tuned to hand off.

Can I do this myself?+

Partly, yes. Our free customer support reply pack gives you prompts that produce solid drafts from a policy you paste in, and it works today with the AI tools you already have. What prompts alone won't get you: the connection to your ticket system and order data, the approval queue, escalation rules, and someone maintaining it all when your policies change. If the DIY version solves your problem, take the win.

What does this cost?+

Engagements start at $5,000/month, and that covers building the workflow and running it, not handing you a tool license and a goodbye. Whether the math works depends on your ticket volume and what your team's time is worth; run your own numbers with the ROI calculator. The free audit will tell you whether support is even your biggest win. If the budget isn't there yet, start with our free resources.

Keep going

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AI agents for property management

Tenant requests at all hours, answered from your actual lease terms and policies.

Workflow automation

How we build, install, and run workflows like this one inside your business.

Customer support reply pack

The free DIY starting point: prompts that draft replies from a pasted policy.

Find out what your queue is actually costing you

The free audit maps your support workflow end to end and shows where drafting, approval, and escalation would slot in. If support isn't your biggest automation win, we'll tell you what is.

Book your free audit

We take on companies ready to invest $5,000+/month. Not there yet? Our free resources are genuinely free.