Custom AI agents
Custom AI Agent Development Company for Lean Teams
We design, build and hand over AI agents sized for $1M–$10M companies: one clear job each, wired into your existing systems, with a person approving anything that matters.
An AI agent development company sized for $1M–$10M companies
Many AI agent development companies scope agents the way they scope enterprise software: long discovery, a large team, a platform license and a six-figure budget. That fits a bank. It does not fit a $6M distributor that needs one agent to stop its sales team spending Monday mornings copying leads into a spreadsheet. Sales-led companies can see the agent patterns we build on our AI for B2B sales page.
Operator Intelligence builds custom AI agents for lean companies. Each agent has one job, a measurable outcome and an owner on your team. It runs in your accounts, on your data, inside the tools your people already use. When one agent proves its numbers, we build the next. Agents are the build layer; our guide to how AI enablement works explains how training and governance keep them in daily use.
### What counts as an AI agent An AI agent is software that uses a language model to decide which steps to take toward a goal, calling tools such as your CRM, inbox or store to gather information and act. An automation follows a fixed script; an agent copes with inputs that vary, like an RFP in an unfamiliar format, and still produces a useful result for a person to check.
Custom AI agent archetypes we build
Four patterns cover most requests. Three are documented case studies; the fourth underpins our back office work.
Lead intelligence agents
Monitor RFPs, alerts, professional communities, inboxes and LinkedIn, then aggregate and score leads. Wizard Leads' Claude Sonnet app watches 15+ channels and lifted lead opportunities 35% in six months.
Learn moreAd creative analysis agents
Score new ad creative before spend. &LIVY's custom web app checks concepts against Meta's Andromeda and GEM signals; the brand reports +22% ROAS and $428K in annual ad spend efficiency.
Learn moreStore operations agents
Turn Slack and email requests into prioritized tasks that Claude executes via MCP in a Shopify development theme for a person to review and publish. ROAM Luggage went from days to minutes on critical updates.
Learn moreOperations exception and back office agents
Watch orders, files and inboxes for the exceptions that eat your team's day, such as mismatched POs, late suppliers and unpaid invoices, then draft the fix and route it.
Learn moreUnder the hood: what goes into a production AI agent
A demo agent is a prompt. A production agent has six layers; skip one and it fails quietly.
| Layer | What we use | Why it matters |
|---|---|---|
| Model | Claude or OpenAI models, chosen per task for output quality, speed and cost | Scoring hundreds of leads a day and summarizing a contract need different models |
| Orchestration | n8n for triggers, schedules, retries and branching; custom code (for example React) when people need an interface | Steps stay visible and restartable, not buried in one long prompt |
| Tools and data | MCP servers and APIs for your CRM, store, inbox, Google Workspace and Slack, with least-privilege access | An agent is only as useful as what it can safely read and change |
| Human approval gates | Draft, approve, then act, for anything that spends money, contacts a customer or publishes | Value from day one without blind trust |
| Evaluations | Real past cases, scored before launch and after every prompt or model change | Catches regressions before your customers do |
| Monitoring | Run logs, error alerts to a named owner, and model usage cost tracking | Inputs and vendor APIs change; drift has to be caught early |
AI agent vs automation vs chatbot
Most of what we ship is a hybrid: a deterministic workflow with an agent step where judgment is needed.
| Question | Workflow automation | AI agent | Chatbot |
|---|---|---|---|
| How it decides | Fixed rules you define | A model chooses steps toward a goal, within limits you set | A model answers questions in a conversation |
| Best for | High-volume, predictable tasks | Varied inputs that need judgment, research or drafting | Answering questions from a known knowledge base |
| Example | A new Shopify order adds a row in Sheets and posts a Slack alert | Read an RFP, score fit, outline a response and route it to a rep | A website assistant answering shipping and returns questions |
| Main risk | Breaks when inputs change format | Confident wrong answers without evaluations and approvals | Answers beyond its knowledge if not constrained |
How we build a custom AI agent, and how long it takes
Scope and integrations set the timeline. Wizard Leads took one month, ROAM Luggage six weeks, and &LIVY's creative analysis app two and a half months.
1. Define the job and the number
One agent, one job, one owner. We record today's baseline (hours, error rate, response time or lead volume) so results are measured, not guessed.
2. Map tools, data and permissions
We list what the agent must read and what it may change. Write access is granted narrowly and every action is logged.
3. Prototype on real past cases
The agent runs against your historical inputs, like last quarter's RFPs, and your team scores the outputs.
4. Build integrations and approval gates
We connect the agent through n8n, APIs or MCP, with a human approval step in front of every risky action.
5. Shadow, then launch
The agent works alongside your team before it acts on its own. Autonomy expands only as evaluation results hold up.
6. Hand over and monitor
Documentation, a runbook, error alerts to a named owner and training for the people who supervise it. Post-launch support is optional.
Custom AI agent results from client builds
You own the custom AI agents we build
Every agent Operator Intelligence builds belongs to the client. The code repository, n8n workflows, prompts, evaluation sets and documentation sit in your accounts. API keys and model accounts are in your company's name, so usage is billed to you directly and nothing stops working if you stop working with us.
Ownership matters more with agents than with most software, because agents need tuning as your business changes. If only an agency understands the prompts, every change becomes a ticket and an invoice. We train your internal owner to read the logs, adjust instructions and spot when a change needs help. Wizard Leads, a Wizard-affiliated company, now owns its lead aggregation tool outright; read the Wizard Leads case study.
“OI built this in a month and we now own our own lead aggregation tool.”
When not to build a custom AI agent
We would rather say no than build an agent that doesn't pay back. Skip the custom build if:
- A tool you already pay for has a built-in AI feature that does the job well enough
- The task happens a few times a month; a configured AI workspace will do more
- The rules fit on one page; a plain automation is cheaper and more reliable
- A mistake would be costly and the action can't sit behind a human approval step
- Nobody on your team can own the agent after launch
50 AI agent examples for business
Looking for ideas before scoping a build? The Operator Intelligence library of 50 AI agent examples covers seven functions: Sales, Marketing, Operations, Customer Success, Finance & Admin, HR & People, and Content & Creative. Examples include AI proposal automation, lead research and enrichment, intelligent document processing, automated AR collections and automated client onboarding.
Most custom agents start as one of these patterns, shaped around your systems and approval rules. Many don't need an agent at all: rules-based work is cheaper as AI automation in n8n, Make or Zapier, and agents around orders and invoices are better planned as an AI back office.
Frequently asked questions
How much does custom AI agent development cost?
Cost is driven by the number of systems the agent touches, whether it needs its own interface, how much autonomy it has, the evaluation work required and any compliance constraints. Each agent is scoped and quoted as a discrete project before work starts. Model usage and software subscriptions are billed at cost or directly to you. See how we price.
How long does it take to build an AI agent?
Focused agents usually ship in four to six weeks. Wizard Leads, a Wizard-affiliated company, took one month and ROAM Luggage six weeks; &LIVY's creative analysis tool, a custom web app with its own scoring logic, took two and a half months. For a multi-agent example, see 2iC (2nd In Command), a 13-agent system for Wizard Creations, co-founder Luke Freeman's distributorship, which reached full ROI in six months.
Should we use Claude or OpenAI models?
It depends on the task. We choose per job based on output quality on your real cases, speed and cost, and design agents so the model can be swapped when a better or cheaper option ships. Wizard Leads runs on Claude Sonnet.
Is our data safe with an AI agent?
Agents get the minimum access they need, with read and write permissions separated and every action logged. We use business and API tiers of model providers, not consumer apps, keep credentials in your accounts and review the provider's current data terms with you before launch. Customer-facing and financial actions go through a human approval gate.
What happens when an AI agent makes a mistake?
It will, occasionally, so we design for it. Approval gates stop errors before customers see them, evaluations catch drift, and alerts reach a named owner. Autonomy expands only when the logs show the agent is reliable on that task.
Scope your first custom AI agent
Tell us the job you want off your team's plate. We'll tell you whether it needs an agent, a simpler automation or nothing at all. Not sure yet? Start with the free AI readiness assessment.
Book a scoping callRelated
AI enablement services
The full AI enablement program.
AI automation consulting
n8n, Make and Zapier workflows.
AI back office automation
Agents for intake, orders, invoicing and AR.
AI case studies
Measured results from real client builds.
AI agent vs chatbot
What separates an agent from a chatbot.
What an AI agent costs
Build and run cost drivers, explained.
Toast IQ vs custom AI agents
Where restaurant groups need agents beyond the POS assistant.