Map the work
Document the inputs, tools, handoffs, exceptions, and output the team needs.
Operational AI for creative businesses
Give the repeatable work to Aran.
Aran maps how your team works, then deploys specialised agents for research, coordination, and preparation inside the tools you already use.
Your team keeps judgment, approval, and client relationships.
How it works
One workflow at a time, built around the people who run it.
Each deployment begins with the actual work: its tools, handoffs, exceptions, and accountable owner.
Define the agent jobs
Separate repeatable operations from the decisions that still need context, taste, or accountability.
Deploy inside existing tools
Connect only the agreed systems, sources, permissions, checkpoints, and owners.
Review and improve
Inspect the output, correct exceptions, and expand only when the workflow earns it.
What gets deployed
A working system with its boundaries written down.
The workflow, permissions, sources, owners, review points, and operating instructions stay inspectable.
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01 / map
Workflow map
A map of the current inputs, tools, handoffs, exceptions, and decisions, reviewed with the people who run the work.
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02 / define
Agent jobs and review signals
Defined jobs, expected outputs, named owners, and the evidence the team uses to review them.
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03 / deploy
Working system
A live workflow inside the agreed tools, with source handling, permissions, checkpoints, and failure states made explicit.
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04 / operate
Runbook and review path
Instructions for owners, approvals, exceptions, corrections, and deciding whether to expand the workflow.
Inside each scope
- One recurring operational workflow.
- The existing tools required for that workflow.
- Documented source, data, and permission boundaries.
- Named human checkpoints and agreed review signals.
Outside Aran's role
- Replacing human judgment or accountable owners.
- Migrating a whole platform before mapping the work.
- Automating external action without an approval path.
- Expanding before the team reviews the current workflow.
Two starting paths
Bring us one recurring workflow worth mapping.
These examples are starting points. We choose the first agent job after mapping the workflow and its human decisions.
Workflow model
Casting research and preparation
Connect brief parsing, record search, gap research, enrichment, and outreach drafts around the casting director's shortlist and approvals.
Trace the casting workflow ↗ Reusable capabilityResearch enrichment
Turn approved sources and existing records into structured, deduplicated, source-linked research for a named reviewer.
Inspect the record path ↗Casting teams can review the workflow fit and boundaries in more detail.
Choose the first step
Bring one workflow. Buy the diagnosis or the complete build.
The $5,000 AI Agent Build includes the $500 audit at no extra charge. The audit also stands alone when you need a clear decision before committing to implementation.
$5,000 fixed scope
AI Agent Build
One production workflow, with the audit, implementation, testing, controls, documentation, and handover included.
Read the build brief ↗ $500 standaloneAI Workflow Audit
Review what the written report covers, who it suits, and what you need to bring.
Read the audit brief ↗Every build documents source access, permissions, retention, deletion, failure behavior, and approval. Read the data and controls note.
Good fit
Aran fits where repeatable operations interrupt work that needs judgment.
The team repeats research, preparation, or coordination every week.
The workflow is split across inboxes, spreadsheets, databases, or project tools.
Named people own decisions based on context, judgment, or relationships.
The team can define the needed output and help map exceptions.
Start a conversation
Bring one recurring workflow.
On the introductory call, we will establish whether the $5,000 build fits, what workflow to examine, and who owns the result. If you only need the diagnosis, the $500 audit stands alone. There is no charge for the call.
Questions
What is the $5,000 AI Agent Build?
It is a fixed-scope implementation of one production workflow inside your existing tools. The price includes the $500 AI Workflow Audit, implementation, testing, controls, documentation, training, and handover.
Can I buy the AI Workflow Audit on its own?
Yes. The standalone $500 audit gives you a written map, friction and risk findings, ranked recommendations, and sensible next steps. It does not commit you to a build.
How is access to our systems handled?
Before connecting anything, we document the systems, permissions, sources, human review points, retention, export, and deletion terms for the engagement.
What is not a good fit?
Aran is designed for recurring operational work with a named owner. Generic self-serve tools and fully autonomous creative replacement fall outside the scope.