Email triage and reply drafting
Sorts the inbox, flags what matters, matches messages to jobs or deals and drafts replies for a person to send.
AI agents
AI agents that do the legwork and ask before they act
Agents that triage email, qualify leads, answer calls and research competitors, inside limits you set.
MaqMinds is an AI agent development company for operations teams. We build agents that read emails and documents, use your tools and complete one task at a time, with a person approving anything that matters. Engineers design, test and hand over every agent, and you own the accounts, code and logs.
What an AI agent is
An AI agent is software that reads a request, decides which tools to use and completes a task step by step. Ours work inside limits you set and stop for approval before anything involving money, contracts or customers.
The difference from ordinary automation is judgment. A workflow follows fixed rules. An agent can read a messy request, choose the next step and use several tools to finish it. That flexibility is useful, and it is also why every agent we build has clear limits, an approval step and a full log. Fixed, predictable steps still run best as AI workflow automation, with the agent handling the parts that need reading and judgment.
What our agents do
We build agents for specific, repetitive jobs rather than general assistants. Each one has a single task, a defined set of tools and a person to hand off to. These are the kinds of agents we build, and most have a case study further down this page.
Voice agent for leads and bookings
Answers calls, asks qualifying questions and books appointments into your calendar, then hands off to a person when needed.
Competitor and ad research
Collects competitor ads, summarises what they say and drafts copy ideas for your team to review.
Sales outreach orchestration
Prepares personalised outreach, tracks replies and updates the CRM, with a person approving what goes out.
Order and invoice intake
Reads orders and invoices from email, checks them against your records and prepares entries for approval.
Guardrails to expect from an AI agent development company
An agent that can take actions needs firm limits. Whoever builds yours should be able to show you exactly what it may do alone, what needs approval, and how to trace any decision afterwards. These are the guardrails we put on every agent before it touches real work.
- Approval steps: money, contracts and customer messages always wait for a person.
- Action and spending limits: the agent can only use the tools and amounts you allow.
- Activity log: every request, decision and action is recorded.
- Fallback to a person: when the agent is unsure, it stops and hands over.
- Test set before go-live: we run it on your real examples, including the awkward ones, before launch.
How we build an agent
We build one task at a time. First we scope the task and agree what success looks like. Then we prototype on your real data, test it against edge cases, deploy it with monitoring, and adjust it once it is handling live work. You see it working at each step.
Step 1
Request
An email, call or form arrives with a task to complete.
Step 2
Plan
The agent reads it and picks the tools and steps it needs.
Step 3, a person decides
Approve
A person approves anything touching money, contracts or customers.
Person decides
Step 4
Act
The agent updates records, drafts the reply or books the slot.
Step 5
Log
Every decision and action is recorded for review.
Monitoring continues after launch. We review the cases the agent handed to a person, adjust its instructions and limits, and re-run the test set before each change goes live. Agents are part of our construction workflow automation and real estate workflow automation work.
The stack we use
We use proven tools and keep you in control of the accounts. Models come from OpenAI and other providers through their APIs. Workflows run in n8n, Make or custom code. Voice agents use Vapi. Memory and logs live in PostgreSQL or Supabase, and your own tools connect through their APIs.
When an agent needs to answer from your documents, we pair it with a RAG assistant that cites your files. Before you hire anyone, our guide on how to choose an AI agent development company lists the questions worth asking.
Examples
AI agents we have built
Each of these agents does one job for one team. They read requests, use a defined set of tools and hand off to a person when a decision matters. Each case study covers the problem, what we built and how it connects to the client's existing systems.
Case study
AI email assistant for executive inbox management
Classifies incoming email, filters newsletters, matches messages to open jobs and sends alerts for what needs attention.
Case study
AI voice agent for appointment booking
Answers calls, qualifies leads, books appointments and records each conversation in the CRM.
Case study
AI competitor ad analysis agent
Gathers competitor ads, analyses the creative and drafts marketing copy for the team to review.
Case study
AI outreach sales orchestration agent
Runs personalised message campaigns from a CRM, with AI drafting responses for the sales team.
FAQ
Questions about AI agents
Most questions about agents come down to control: what separates an agent from a chatbot, whether it can act on its own, what happens when it gets something wrong, and who owns the accounts it runs on. Here are straight answers to each.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions. An agent also takes actions in your tools, such as updating a record or drafting an email, so it needs limits and approvals.
Can an agent act without approval?
Only for low-risk steps you choose, such as tagging an email. Anything involving money, contracts or customer messages waits for a person.
What happens when the agent is wrong?
It is tested on your real examples first. In use, uncertain cases go to a person, and every action is logged so errors can be traced and fixed.
Do I need my own AI account?
You own the accounts and keys, so costs and data stay with you. We set them up with you.