The morning brief
Spoken aloud on the first visit of the day: who is in, who is late, what slipped overnight, and the mood of the office as a colour.
AI agent development company
Custom AI agents that run your business with you
We build AI agents for business that work inside the tools you already run on, as the people who use them, under the permissions you already have. The proof is the one we run ourselves: Mack, the AI chief of staff inside our own operations system.
Asks before changing records
Acts as the signed-in user
Shows the cost of every answer
MackGood morning. Here’s your day.
- 11of 14 in the office
- 2came in late
- 1deadline slipped
Today feels Good · sample brief
01
Autonomous where it is safe
Confirmed where it matters
Accountable to the cent
31
tools Mack can call across our operations system, from attendance to finance.
3
model providers to choose from: Claude, ChatGPT, or DeepSeek through OpenRouter.
1 tap
to approve a change to records, money, leave or messages. Until then, they stay exactly as they are.
$ & ₹
printed under every answer: what that reply cost, in dollars and rupees.
Now showing · product film
Meet Mack, our own AI agent
Thirty-eight seconds on what Mack does, how it plugs into the system we run MarkAge360 on, and what we would build inside yours.
AI executive assistant, in practice
A working day, handled in plain words
Mack is not a chatbot bolted onto a website. It is an AI agent with hands: it reads the live system, prepares the change, and for anything shared, waits for a yes. Everything below is shipped and running in our own Ops today.
Fix a record
“Riya was on time Friday, the internet was down.” Mack drafts the attendance fix and shows exactly what will change.
Log the hours
Time goes against the right task and the right person, recorded as the one who asked.
Message the team
A note to one person or a whole channel in the team chat, sent only after you confirm the wording.
Ask for a chart
“Hours by project this month.” Bars, donut, line or table, drawn inside the conversation.
Or just talk
A hands-free voice call. It listens, thinks, and answers out loud, then does the job.
Urgent, and impossible to miss
An urgent task he gives someone takes over their screen until they press Okay, then opens the task. Reminders and scheduled updates arrive in the panel and on his phone.
AI agent integration
It works your systems the way you do
No shadow database and no master key. A request travels the same road a click would, so every rule you already have still applies.
- 01
You ask
In plain words, typed or spoken. “Log three hours on the Acme launch for Arjun.”
- 02
It finds the route
The agent looks up your system’s own route for that job, the one your screens already use.
- 03
It acts as you
The call carries your session, so your role and permissions decide what it can see and touch.
- 04
You confirm
For records, money, leave and messages, a card shows exactly what will change. Nothing moves until you tap.
- 05
It stays on record
The route’s own audit trail and alerts fire, exactly as if you had clicked it yourself.
Multi-model, fully metered
Pick the brain. See every cent.
Your agent is not married to one AI company. Switch the model behind it in settings, and every answer still carries its own price tag, so the running cost of AI is a number you watch, not a surprise on an invoice.
Anthropic’s Claude, billed at Anthropic’s own rate. The credit left on the account sits at the top of the panel.
Claude credit · all of MA360
$99.52 of $100.00
Give an urgent task to me, done in 10 minutes.
Task created and marked urgent.Claude · $0.017 · ₹1.58
Who’s in today?
Eleven of fourteen are in. Two came in after ten.Claude · $0.0026 · ₹0.25
An illustrative exchange, with cost lines in the format Mack prints them. Figures vary by model and by answer.
Custom AI agent development
Mack is ours. Yours is built the same way.
We do not resell a platform. We build an agent that knows your rules, works in your tools and answers to your people, then hand you the controls.
Your businessRules, roles, permissions
Your toolsCRM, HR, finance, chat, internal apps
Your modelClaude, ChatGPT or DeepSeek
Your agent
Map
We sit with the people who will use it and list the jobs, the systems behind them, and who is allowed to do what.
Wire
The agent gets tools for those jobs, wired to your systems’ own APIs and called as the signed-in user.
Guard
Confirm cards on changes to shared records, a live spend meter, and a quiet mode for when it should only answer.
Launch and tune
It goes live with your team, and we keep tuning the tools and prompts as the way you work changes.
AI agents for business
One pattern, many seats at the table
AI executive assistant
For founders and directors: the morning brief, the follow-ups, the reminders, and the small fixes that eat an afternoon.
AI chief of staff
For whoever runs operations: who is where, what is late, and what needs a decision today, across every team.
AI HR assistant
Attendance, leave, timesheets and onboarding questions, answered from the live records and changed with approval.
Finance and admin agent
Entries added, edited and found in plain words, with tax worked out and every line confirmed before it lands.
Sales and CRM agent
Pipeline questions answered, records updated and follow-ups drafted inside the CRM your team already uses.
Enterprise AI agents
Several agents, one per team, sharing the same permission model and the same audit trail as your people.
Recognised by Clutch as a Top AI Agents Company, 2025. We build agents for clients and run one on our own business, so the hard parts are ones we have already hit.
AI agent development FAQ
Questions about building your own agent
Straight answers on what an AI agent is, what it can change, which models it runs on, and what it costs.
What is an AI agent for business?
An AI agent is a model that can act, not just answer. It reads your live systems, picks the right tool for the job, and carries out the step: fixing a record, logging hours, sending a message, drawing a chart. A chatbot tells you what to do. An AI agent for business does it inside the tools your team already uses, and in the way we build them, it asks before it changes anything shared.
How is a custom AI agent different from ChatGPT or Copilot?
ChatGPT and Copilot are general assistants. They know a great deal about the world and very little about your business. A custom AI agent is connected to your own systems, knows your rules and your people, and can take actions there as the signed-in user. You can still run it on ChatGPT, Claude or DeepSeek underneath. What is custom is everything around the model: the tools, the permissions, the confirmations and the record of what it did.
Can the agent change things without asking?
Only the small things that are yours alone, such as your own tasks, timers and reminders. Anything that touches other people, records, money, leave or messages appears first as a confirm card that says exactly what will happen, and it waits until someone taps Confirm. Reading, searching and summarising happen straight away. Asking first is the default, and it can be switched off in settings if you would rather have speed.
Which AI models do your agents use?
Your choice. Mack runs on Claude from Anthropic, ChatGPT from OpenAI, or DeepSeek and other models through OpenRouter, switchable in its settings. We pick a default with you based on the jobs, the languages and the budget, and every answer shows which model produced it and what it cost in dollars and rupees.
How does an AI agent connect to the tools we already use?
Through the same routes your own screens use. The agent is given a tool for each job, each tool calls your system’s own API, and the call carries the user’s session. That means your existing roles and permissions decide what it can see and change, and your system’s own audit trail records what it did. Where a tool has a public API, such as a CRM, HR or finance platform, we wire to that. Where it is an internal app, we wire to its routes.
Is it secure? Who does the agent act as?
It acts as the person using it, never with more access than they have. If someone cannot approve leave in your system, their agent cannot either. Model provider keys stay on your server, each question goes only to the model provider you picked, and the conversation history and every change stay in your own system, logged and attributable to a named person, exactly as if they had clicked the button themselves.
How much does AI agent development cost?
We price by scope: how many jobs the agent does, how many systems it connects to, and who uses it. It is a one-time build plus an ongoing fee that covers model usage, hosting and support. There is no per-seat licence, because there is no shared product to buy a seat of. Model running cost is visible on every answer, so you always know what the AI itself is costing.
How long does it take to build a custom AI agent?
A first agent that does a handful of jobs on one system is a matter of weeks, not months. Larger agents that span several systems or teams are planned in stages, so the first useful version goes live early and the rest follows. After the scoping call you get a written plan with dates.
Do you build AI agents for businesses outside India?
Yes. Scoping, build and launch all run remotely, over video calls and a shared workspace, and the agent runs on your systems wherever they are hosted. Whether you are in the United States, the United Kingdom or anywhere else, we schedule the calls in your working hours.
Can we buy Mack?
No. Mack is ours, built for MarkAge360’s own operations system, and it stays that way. What you can have is your own agent, built on the same pattern inside your tools, with your rules, your name for it if you like, and your choice of model.
