AI engineering service

AI Agent Development

A complete AI agent for one clear business workflow, connected to tools, APIs, data, and a usable interface.

1-3 weeksAgent build sprint

Outcome

A working AI agent flow for one use case, with connected tools, a simple product surface, documented architecture, tested happy paths, failure notes, and a clear next-iteration plan.

01

Turn a manual workflow into an agent-assisted process

Internal assistant for repetitive operations

02

Connect AI to real tools, APIs, and business data

Lead qualification or intake agent

03

Ship a usable workflow instead of a prompt demo

Research and summarization workflow

04

Keep tool permissions, logs, and data boundaries explicit

Support triage or routing assistant

What you receive

  • Workflow map and technical approach
  • Agent implementation
  • Tool/API integration
  • Backend endpoints or service layer
  • Basic frontend or admin interface when needed
  • Testing notes, limitations, and handoff documentation

Methodology

  • Define the workflow and success criteria
  • Map tools, inputs, outputs, and permission boundaries
  • Build the agent loop and tool calls
  • Connect backend/API and product surface
  • Test happy paths and failure cases
  • Document usage, limits, and next iteration

Scope

Includes one primary agent workflow, prompt/system design, tool calling, API integration, basic state or persistence, backend endpoints, a simple frontend/admin interface when needed, logging points, and handoff documentation. This is scoped to a useful first production-oriented version, not a large multi-agent platform.

Details

What to expect from this engagement

What is included?

I design and build one practical AI agent around a defined workflow. The goal is not a generic chatbot; it is a scoped agent that can follow steps, use tools, call APIs, keep useful state, return structured output, and fit into a real product or internal process.

Who is it for?

Founders, SaaS teams, agencies, and small businesses that need one practical AI agent for a real workflow.

What do you need to provide?

Requires a defined use case, example inputs/outputs, access to required APIs or tools, data boundaries, and approval for what the agent may do. Does not include complex multi-agent architecture, large-scale data ingestion, or deep enterprise deployment unless scoped separately.

Next step

Turn this into scoped AI engineering work.