Inputs
Approved documents, messages, forms, records or API data the agent is allowed to use.
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STUDIO
ASH STUDIO / CUSTOM AI AGENTS
Need something
specific?
We build AI agents around defined business processes and allowed actions — not a fictional universal employee that can do everything.
Specific process. Explicit permissions. Clear handoff.
01
Inputs
Approved documents, messages, forms, records or API data the agent is allowed to use.
02
Allowed actions
Exactly which drafts, records, tasks or API actions the agent may create or update.
03
Human handoff
Exceptions, approvals, sensitive cases and decisions that remain with people.
AGENT BOUNDARIES
A useful agent starts with a job description and limits.
Before choosing a model, we define what the agent sees, what it may do and when a person takes over.
Allowed actions
Exactly which drafts, records, tasks or API actions the agent may create or update.
Human handoff
Exceptions, approvals, sensitive cases and decisions that remain with people.
EXAMPLE ROLES
Custom means process-specific, not unlimited.
AI Operations Assistant
Route recurring operational requests, summarize context and prepare the next internal action.
AI Logistics Assistant
Read approved shipment/order data, classify issues and create structured follow-up.
Internal Knowledge Agent
Help a team find answers across approved internal knowledge and cite the source context.
AI Sales Assistant
Prepare account context, draft follow-up and support sales workflows without owning commercial decisions.
Back Office Agent
Process recurring forms, documents and internal queues with validation and review steps.
Support Specialist
Handle a defined support domain and escalate outside that domain.
HOW WE BUILD
Process first. Permissions second. Model third.
Define the job
Choose one repeatable process, inputs, owners, exceptions and a useful outcome.
Set permissions
Decide what can be read, suggested, created or updated and what always needs approval.
Connect tools
Integrate only the systems required for the job and validate every structured action.
Test edge cases
Exercise uncertainty, failures, refusals and handoff before expanding scope.
CUSTOM AI FAQ
A custom agent should be constrained enough to trust.
Can you build an AI employee that does everything?
No responsible implementation should promise that. We build agents around defined workflows and permissions, then expand only from evidence.
Can the agent use our internal documents?
Yes when the documents are approved for that use and access is technically and organizationally appropriate.
Can it act inside our systems?
Where suitable APIs or integrations exist, it can perform explicitly allowed actions with validation and logging.
Can different teams have different agents?
Yes. Separate agents or workflows can be appropriate when data access, responsibilities and success criteria differ.
How do we choose the first use case?
Start where work is repetitive, inputs are available, the useful outcome is clear and failure can be handled safely.
HAVE A SPECIFIC PROCESS?
Turn it into a scoped AI system.
Bring the process, tools and exceptions. We’ll define the smallest useful agent before adding complexity.