AI automation agency: workflows that run without you
A one-architect AI automation agency for operations-heavy teams. Fixed scope, production code in your own cloud account, and a measurable hour count removed from someone's week.
Most automation projects fail for the same reason: someone automated a demo instead of a workflow. The work here starts from the process — who touches it, what they read, what they decide, and where the decision is recorded — and only then chooses the model, the tools and the deployment target.
Automations built most often
- Inbound lead capture, enrichment, qualification and routing into your CRM.
- Document intake: parsing, extraction to a typed schema, review queue for exceptions.
- Support triage: classification, draft replies, escalation with a confidence threshold.
- Internal copilots answering from your own policies, contracts and runbooks.
- Scheduled reporting: pulling from Postgres and third-party APIs into a written brief.
How the engagement runs
Week one is measurement: current volume, handling time and error rate, so the automation has a number to beat. The build then ships behind a flag, runs alongside the human process, and is only promoted once the eval set and the shadow run agree. Every run is traced, so the cost per task and the failure rate are visible from day one rather than guessed at.
Frequently asked
What does an AI automation agency actually do?
It replaces a repetitive human workflow with a system: intake, decision logic, tool calls into your existing software, and an audit trail. The useful ones deliver a running service in your own cloud account, not a Zapier board someone has to babysit.
Which workflows are worth automating first?
High-volume, rules-light, text-heavy work: inbound lead qualification, document intake and extraction, support triage, report drafting and internal knowledge lookup. Anything done more than twenty times a week by a person reading text pays back fastest.
How is this different from a no-code automation setup?
No-code is excellent until the logic branches, the volume grows or an auditor asks what happened on a specific run. This work ships typed code, tests, evals, retries and tracing, and the client owns the repository from the first commit.
What does an automation engagement cost and how long does it take?
A Systems Audit is about one week and produces a written build plan. A Pilot Build is two to three weeks and puts one workflow in production with evals. A Full System is six to ten weeks with CI/CD, monitoring, runbook and handover. Scope and price are fixed before work starts.
Do you work with teams outside your timezone?
Yes. The studio operates from Karachi (UTC+5) and works globally, with an overlap window covering European mornings and North American mornings. Async written updates go out on every working day.
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Want a scoped quote? Email daniyal@agenticcore.tech — I reply within one business day.