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Product 02 · AI Agents

A 24/7 AI employee
you can actually delegate to.

Message your AI agent on Slack, WhatsApp, or Telegram, give it a job, and let it get on with the work. Research, data entry, document handling, reporting, follow-up tasks — scoped properly, connected to the right tools, and built to report back clearly when it is done.

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Talk to it in chat · Runs logged end to end · Reports back when done
MagnifAI Agent
Slack handoff preview
Running
Revenue summary request
Director messages the agent in Slack, asks for a weekly performance summary, and gets the answer back without touching five different tools.
Slack
GA4 HubSpot Stripe Notion
Conversation
Thread #A-2048
You
"Can you pull this week's top-line numbers and anything unusual?"
Sent in Slack at 07:42
Done
Fetched source data
4 tools queried, 18s total
Live
Writing executive summary
Tone matched to previous updates
Next
Reply in thread with the summary
Email plus Notion archive
Reply sent
Summary delivered back to the requester

Revenue up 8.2% week-on-week, paid CAC stable, two outlier refunds flagged, and three action points posted back into the Slack thread.

3.4 hrs
Estimated time saved
1 thread
Task assigned and completed in chat

The problem

Most businesses do not need another dashboard.

They need a digital team member they can talk to. Research that takes three hours. Data pulled from emails into spreadsheets. Invoices manually extracted and filed. Reports assembled every Monday from five different sources. The problem is not that the work is impossible. The problem is that someone still has to stop what they are doing and do it.

MagnifAI AI Agents let you delegate that work in plain language. Message the agent in Slack, WhatsApp, or Telegram, let it run the task with the right permissions and controls, and get the result back when it is ready.


What AI Agents can take off your team's plate.

chat

Chat-first delegation

Assign work from Slack, WhatsApp, or Telegram instead of opening another system. Ask in plain English, then let the agent handle the rest.

search

Research

Prospecting, supplier checks, or competitor monitoring with defined sources, outputs, and handoff rules.

table_chart

Data entry

Extract structured data from emails, PDFs, portals, or web pages and push it into the right system cleanly.

description

Document processing

Handle one document job with one validation path and one exception route so invoice and contract work becomes repeatable.

summarize

Reports

Recurring summaries around the metrics, tone, audience, and delivery format your team already expects every week.

schedule

Scheduled or triggered

Run when the business event happens or on a fixed cadence, then report back with the result instead of disappearing into a workflow.

reply

Reports back clearly

The output comes back where the request started: a Slack thread, a WhatsApp message, a Telegram chat, or the channel your team already lives in.

verified

Guardrailed by design

Permissions, logs, review points, and a kill-switch turn a powerful agent into something a business can actually trust in production.


Where to start

The best first AI agent feels like handing work to a reliable teammate.

That is exactly why it works. The best early wins are repetitive jobs with a clear trigger, a predictable output, and just enough rules that your team hates doing them but can explain them quickly. Ask for the work in chat, let the agent run it, and get the answer back without chasing.

repeat

It happens repeatedly

Monday reporting, invoice filing, prospect list enrichment, document triage. If someone keeps being asked to do it, the agent probably should.

forum

You want to assign it in chat

If the ideal workflow is "send a message, get the work done, receive the result," that is a strong fit for this product.

rule

Humans only need the edge cases

If 80 to 90 percent of the job is rules and only the odd exception needs judgment, the agent can do the bulk and escalate the rest.


How we build yours

Like a 24/7 employee, but scoped properly.

We scope the task, configure the agent, wire the tools, test against real data, then launch with clear controls. The goal is not to create a gimmick. It is to give your team someone they can delegate to at any hour, with a reliable answer back.

1

Define the job

What exactly should the agent do, where should it stop, and what should a useful answer look like when it reports back?

2

Wire the tools

Slack, WhatsApp, Telegram, email, CRM, spreadsheets, APIs. We give the agent the right channels and only the permissions it actually needs.

3

Test with you

We run the agent against real data, tune prompts and controls, and make sure the responses feel useful, concise, and trustworthy before anything goes live.

4

Run & report back

The agent runs on your cadence or on command, then reports back with logs, alerts, review points, and a kill-switch if anything looks off.


Three use cases.

Slack research agent

Sales lead drops a company list into Slack. The agent enriches each row with company size, decision-maker, recent signals, and fit score, then replies in thread with the finished file before lunch.

WhatsApp ops agent

Operations manager messages the agent on WhatsApp asking it to clear the invoice queue. It extracts the fields, files the clean ones, and only sends back the exceptions that need a human decision.

Telegram reporting agent

Founder messages the agent in Telegram for the week's performance summary. The agent pulls the numbers, writes the summary in the right tone, and replies with the results plus any unusual movement worth checking.


Pairs well with

These agents are strongest when they can act inside the rest of your stack.

Get started

Tell us what's taking too long.

A 20-minute call. We will identify the best task to delegate first, decide where your team should talk to the agent, and tell you honestly whether it is a good fit.

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