Alapan
Service: AI agent development

AI agent development for real business work.

We design and build custom AI agents that complete real tasks against your business data: intake, qualification, research, scheduling, and internal operations. Controlled systems with scoped permissions and audit logs, not a generic chatbot.

What it includes

What an AI agent build includes.

Each agent is scoped to one job and the data it touches. An AI agent build is about controlled, auditable action against your real systems, not a chatbot that only answers questions.

01

Purpose-built agents

Agents designed for one job and the data it touches: intake, qualification, research, routing, scheduling, or internal operations, rather than a generic assistant.

02

Grounded in your data

Agents that read your real systems through defined tools, so answers and actions are based on current business data, not guesses.

03

Scoped permissions

Every agent gets typed, permissioned access to only the actions it needs, with rate limits and PII masking around sensitive data.

04

Human review where it matters

Confirmation steps and review paths for actions that change data or reach a customer, so an agent never acts unchecked where it counts.

05

Custom MCP tools

Model Context Protocol servers and tools that connect agents to your records, databases, calendars, and documents through an auditable interface.

06

Audited and owned

Audit logs for every read, write, and tool call, delivered as a codebase and infrastructure you own and host.

How we work

From job to agent, in four steps.

01
Step 01

Define the job

We pin down exactly what the agent should do, the data it needs, and where a human must stay in the loop. A tight scope beats a vague assistant every time.

02
Step 02

Build the tools

We build the typed, permissioned tools the agent calls, so it acts through a defined interface instead of broad, unguarded access to your database.

03
Step 03

Ground and constrain

We connect the agent to your knowledge and systems, set its guardrails, and add confirmation steps for any action that changes data or reaches a customer.

04
Step 04

Test and hand over

We test against real workflows, wire up audit logs and monitoring, and hand over an agent you own and can extend.

FAQ

Common questions.

If something is not covered here, book a call and we will answer it directly.

01What is AI agent development?

AI agent development is the design and build of custom AI agents that complete real tasks against your business data, such as intake, qualification, research, scheduling, and internal operations. An AI agent is a controlled system with scoped permissions and audit logs, not a generic chatbot.

02How is an AI agent different from a chatbot?

A chatbot answers questions. An AI agent takes actions: it reads your systems, makes decisions within its scope, and completes tasks through defined tools, with confirmation steps and audit logs around anything that changes data or reaches a customer.

03What can a custom AI agent do for my business?

Common jobs include lead intake and qualification, research and enrichment, routing and scheduling, outreach support, and internal knowledge and operations workflows. We scope each agent to one job and the data it touches, rather than building a do-everything assistant.

04Is it safe to let an agent act on our systems?

Agents get typed, permissioned access to only the actions they need, with rate limits, PII masking, human confirmation for sensitive actions, and audit logs for every read, write, and tool call. You can see and constrain exactly what an agent is allowed to do.

05Do we own the agent?

Yes. We hand over the agent as a codebase and infrastructure you host and control, with no platform lock-in and no monthly software subscriptions.

06How much does an AI agent build cost?

Custom AI agent builds are scoped on a fixed fee, separately from website projects. Book a call and, once we understand your scope, we will give you a clear number within 48 hours.