AI agents for business
Personal and role-based AI agents with API and tool access — for concrete jobs, not a generic chat.
For companies that need a helper with a role: support, operations, draft analysis, internal playbooks — with permissions and logs.
About the service
An AI agent differs from a chatbot by planning steps and calling tools: reading data, creating entities, running actions within granted rights. Chat without tools is dialogue; an agent is an actor with limits.
The service fits when there is a repeatable role or task set you can formalize. If the expectation is “do everything for the employee with no rules,” we define boundaries and HITL first.
We design roles, context, access, logging, and escalation to a human.
Why it works
A role instead of a general chat
The agent knows its responsibility zone and does not sprawl across every topic.
Tools and APIs
Actions run through controlled integrations — not text-only advice.
Human-in-the-loop
Critical steps need human confirmation; everything else speeds up.
What's included
Scenario and role
Which job the agent covers, for whom, and with what outcome.
Context and data
Which sources are available, how knowledge updates, what must not leave.
Tool integration
APIs, internal services, email, tickets — within an allowed action list.
Permissions and limits
Access model, bans, and action caps.
Logging
Step journal for incident review and quality improvement.
HITL and escalation
When the agent must ask a human, and how handoff looks.
What you get
- A working AI agent for the agreed role
- Tools/API set with limited permissions
- Access policies and logging
- HITL scenarios
- Operator and owner guide
Ready to discuss — send a short note about the outcome you need.
How we work
- 01
Role and boundaries
Lock the job, success criteria, bans, and data.
- 02
Agent prototype
Minimal loop with tools, validated on real examples.
- 03
Tighten control
Permissions, logs, HITL, error handling.
- 04
Rollout
Connect users and acceptance criteria.
Technologies
LLM + tool calling
Planning and action calls
API integrations
Links to business systems
Auth scopes
Limit agent permissions
Observability
Step and error logs
Pricing and timeline
A precise estimate depends on scope and constraints. Below are the factors that drive cost; I do not publish fixed prices without discussing the task.
- Number of roles and scenarios
- Tool and API complexity
- Data security requirements
- HITL and audit depth
- Whether multi-channel is needed (web, Slack, email)
FAQ
How is an agent different from a chatbot?
A chatbot answers in text. An agent can take actions through tools within permissions and the role scenario.
Can you build an “agent for everything”?
Narrow roles work better. A universal agent is harder to control and fails more often.
How do you stop the agent from deleting things?
Through scopes: only allowed operations, confirmation on dangerous actions, and logging.
Do we need our own LLM?
Not necessarily. A provider API with a data policy is often enough. Self-host is a separate discussion.
Any example scenarios?
Typical ones: inbound triage, regulated draft prep, status collection from systems, ticket routing. Specifics come from your role.
Related services
Shall we discuss your project?
Tell me about the task. I will review the requirements and suggest a suitable approach.
