AI Automation Agency for Inbound Teams
An AI automation agency designs and runs the layer between your traffic and your CRM: capture, qualification, routing, follow-up, and reporting. OperStack scopes that layer per handoff, automates only the steps with a testable pass condition, and leaves judgement calls with your reps. Most engagements take 4 to 8 weeks for a first working layer.
| Entry point | Assessment · Free Free audit first. Scope and quote come after we have seen the actual leak. |
|---|---|
| Typical timeline | 4 to 8 weeks for a first working layer Depends on how much of your data is already clean. |
| Updated | Reviewed by Maksim Shchegolev |
Where inbound leads actually leak
Most teams looking for an AI automation agency describe the same symptom: leads arrive, the dashboard says traffic is fine, and revenue does not move. The cause is almost never the model you pick. It is the handoffs.
A request crosses systems four or five times before a human reads it. Form to backend, backend to hub, hub to CRM, CRM to a rep’s queue, queue to a first reply. Each crossing can silently drop a record, strip a field, or assign an owner who is on holiday. Nobody notices, because every individual system reports success.
The first thing we build is not an automation. It is a count of how many records survive each crossing, which is the same reconciliation described in the inbound lead audit.
What gets automated and what does not
The dividing line is whether a step has a pass condition you can test. Deduplicating on email plus domain has one. Deciding whether an unusual enterprise request deserves a discount does not.
Automating the first kind removes work. Automating the second kind produces confident wrong answers at a speed nobody can audit, which costs more than the manual process it replaced.
Why the rules live in the hub, not in a prompt
Prompts change weekly. Ownership rules need versions, an audit trail, and someone accountable for the order they run in. Keeping routing logic inside a model prompt means that six months later nobody can answer why a specific lead went to a specific rep.
Rule precedence, fallback queues, and capacity limits belong in the routing playbook, expressed as inspectable rules.
The honest limits
Automation moves the bottleneck, it does not remove it. If your reps already reply in four minutes and your close rate is the problem, a faster router changes nothing. If your form collects three fields and none of them predict fit, better qualification has nothing to work with.
We would rather tell you that on a free call than sell you a module that measures well and sells nothing.
What the engagement covers
- Handoff map: every point where a lead changes system or owner, with the current failure rate at each
- Capture layer: forms, chat, and inbound channels emitting one consistent payload
- Qualification: fit and intent separated, confidence scored, low-confidence records routed to a human
- Routing rules in the hub, with precedence, fallback queues, and an event log you can read
- Follow-up cadence as a state machine, with stop rules and CRM writeback
- Reporting that names the decision each number is supposed to cause
What you keep
- A handoff map you own, in your own vocabulary, not ours
- Working automations in your stack, with the rule order documented
- An event log per lead: what fired, what was skipped, and why
- A rollback switch with a named owner who may pull it without a meeting
What this does not cover
- Paid media buying or creative production
- Replacing your CRM. We work inside the one you have, and say so when it is genuinely the constraint
- Headcount reduction plans. Automation moves work, it does not decide who does it
If one of these is the actual problem, say so on the audit call and we will point you somewhere better rather than sell you the wrong module.
Start with the written assessment
Free and in writing: send the site and how inbound works today, get the gap we see, the module that fixes it and a fixed price within two working days. No call at this stage.
Frequently asked questions
- What does an AI automation agency actually do that a consultant does not?
- A consultant leaves a document. An agency leaves running automations plus the document. The practical difference is who owns the rule order six months later, and whether there is an event log to debug when a lead goes missing.
- How much does AI automation cost?
- OperStack does not publish a fixed price because scope varies by how clean your data already is. The audit is free and produces a written action list. Setup is quoted after that, and a retainer only makes sense once something is running.
- Which parts should not be automated?
- Anything without a testable pass condition. Pricing exceptions, unusual objections, and any decision a rep would defend differently to two clients. Automate the steps where a wrong answer is cheap and detectable.
- How do you know the automation worked?
- By reconciling four counts before and after: requests that arrived, records created, records with a live owner, and records actually worked. If those four do not move, the automation is decoration.
- Do we need to replace our CRM first?
- Usually no. Most inbound leaks happen before the CRM or in the handoff into it. We only recommend a migration when the CRM is provably the constraint, and we say so on the audit call rather than in a proposal.