Custom AI
Custom AI agents built around your business logic.
MyKoala builds custom AI agents that understand the specific rules, context, tone, workflows and software stack of a business rather than acting like generic chatbots.
01
Custom context changes the result
Custom context changes the result
A generic assistant cannot know your service rules, tone, pricing logic, customer segments or approval boundaries. A custom agent can use those details as part of a controlled workflow.
The agent can work inside your stack
The build can connect knowledge bases, product docs, CRM data, website forms, customer messages, task systems and reporting dashboards. Each data source gets a purpose, not just a dump into memory.
The best systems know when to stop
Custom agents should not pretend to be certain. Confidence thresholds, review queues and fallback paths protect the customer experience and keep the business in control.
02
What you actually get
- Custom agent role and policy document
- Knowledge-base and SOP structure
- Tone, examples and response guidelines
- Tool and API integration map
- Review, escalation and logging states
- Quality review and iteration checklist
03
How the work runs
Collect the documents, examples and business rules the agent should use.
Define the tasks the agent owns and the tasks it must reject or escalate.
Connect tools only after the behavior is testable.
Review outputs against real customer or operator examples.
Improve the agent with logs, examples and narrower rules where needed.
04
Questions people actually ask
How is a custom AI agent different from ChatGPT?
A custom agent is connected to your business rules, data, tools and workflows so it can act inside a defined process.
Can you build multiple agents?
Yes. A business can run separate agents for research, support, sales, content, QA and operations.
Can agents work together?
Yes. One orchestrator can route tasks to specialist agents with different responsibilities.
Can a custom agent use our brand voice?
Yes. Tone examples, approved language and response rules can be part of the agent's operating instructions.
Scope a custom agent
Describe the bottleneck and I will map the first useful system. One reply, from the person who does the work — usually within a day. Engagements run as fixed-scope sprints, project builds or monthly retainers — indicative pricing is public on the work page.