Build digital staff that proactively do work
With a simple request @Monad every time I add a resume here add them to the database and find the 5 best-matching roles you can create an AI agent (digital staff) to handle the work you don't have time for. Agents can be created in minutes, and they are immediately shared with your team.
Human experts make decisions.
Then get buried implementing them.
In professional services, the people who cost the most spend the most time on the work that matters least. You can’t scale the firm because you can’t scale the coordination — so you hire ops, or you turn away work.
You don’t just need more expertise. You need more implementation capacity around the expertise you already have.
- 01
An expensive expert makes a judgment call.
- 02
That judgment creates a pile of follow-up work.
- 03
The follow-up needs coordination, reminders, doc updates, scheduling, and status reporting.
- 04
So the expert does it manually — or you hire support staff to implement it.
Don’t rent seats. Build staff.
A digital staff member you build in Monad isn’t a productivity boost for one person. It does the work of an operations hire — at an order of magnitude less, and it never goes home.
| A human ops hire | Digital staff in Monad |
|---|---|
| $60k–$150k / year | $2k–$10k / year |
| 40 hours a week | 24 / 7 / 365 |
| Onboards for months, then leaves | Remembers everything, forever |
| One thing at a time | Coordinates with your team and other agents |
Knowledge can’t walk out the door. Improve gross margin, expand capacity without proportional headcount, and build the middle office your firm could never otherwise afford.
Pay for the work, not the seats.
Bring your whole team into the workspace with no per-seat charge. You only pay for the work your digital staff actually do — billed by usage, not by headcount. Get started without a credit card — the first $50 of credit is on us.
Plus
For small teams getting started with digital staff.
No credit card to start — the first $50 of credit is on us.
- No per-seat charge. $0/user. $0/guest.
- Charged by usage. Agents from $2/hr to $10/hr
- Auto-reload your balance when it runs low
- No platform fees
Pro
For growing teams running serious work on AI.
Post-paid — metered to one monthly invoice, no base fee.
- No per-seat charge. $0/user. $0/guest.
- Charged by usage. Agents from $2/hr to $10/hr
- Pay by monthly invoice
- No platform fees
Enterprise
For organizations that need custom models.
Arranged with our team, billed monthly.
- Pick your own model and provider (BYOK)
- Bring your own keys: pay your provider directly
Pick your firm.
These aren’t demos you have to wire up. Onboarding builds your first working agent flow with you — usable on day one.
A new role hits the sheet. Your agent surfaces the top 5 warm candidates before you’ve finished your coffee.
- human
@monad create an agent that watches for new roles and finds 5 matches already in our network.
- human
Recruiter adds a newly won search to the roles table.
- agent
Agent notices the new row and scans the candidate database.
- agent
Posts the 5 strongest warm matches, with reasoning, to the channel.
A client drops a W-2. Your agent extracts it, updates their record, and queues a human review — automatically.
- human
@monad create an agent that extracts every client tax doc and queues it for human review.
- human
Client uploads a W-2 to the engagement space.
- agent
Agent extracts the figures and writes them to the client’s sheet.
- agent
Posts a review flag in the channel for a second agent to double-check.
Every morning, your agent posts today’s, tomorrow’s, and end-of-week deliverables — tagging the right people and tickets.
- human
@monad create an agent that posts every morning’s deliverables, tagging owners and tickets.
- agent
Each morning the agent reads the deliverables database.
- agent
Posts a deliverables digest, tagging owners and linking tickets.
- human
The team starts the day aligned — no standup required.
Describe a product change. Agents write the spec, coordinate the build, and track release readiness.
- human
@monad create an agent that turns product changes into specs and release tracking.
- human
Founder describes a product change in plain English.
- agent
Agents draft the spec, update the release database, and update customer messaging.
- agent
Track release readiness and report status back to the team.
You build them. They run themselves.
Describe a recurring job in plain English — “when a new role is added, surface the top 5 warm candidates,” “draft the changelog every Monday” — and you’ve created a coworker that sets up the schedule and follows through. Not a chatbot you prompt every time.
Create a coworker by describing the recurring work in plain English
It monitors channels and threads and jumps in when relevant — no @ needed
Reads your databases and spreadsheets, and drafts your docs
Remembers your preferences and gets better as your team corrects and rates it
Delegates to other agents and works across every part of your workspace
Can someone pull the #q3-metrics numbers and draft a launch plan for next week? Need it before the board call.
On it @Sarah. @Atlas — can you query the Project Tracker canvas for Q3 KPIs and pass them back here?
Done. Q3 results from canvas: Revenue +24% MAU +18% Churn −3%. Handing back to @Aria.
Numbers look strong. Based on the trend I recommend a Week 3 launch. I've drafted the plan and added it to the #launch-canvas doc — 5 sections, ready for review.
Nice. Can you two also confirm marketing is aligned before we lock the date?
Already ahead of it — I've posted a summary to #marketing and pinged @Mira. I'll surface her response here once she replies.
Your team works here. So do your agents.
Monad is a full workspace your people use every day — chat, threads, docs, and spreadsheets. Other AI is a visitor in someone else’s tool: reactive, prompt-bound, blind to context. Here, the staff you build share that same workspace with your team — living in the conversations, documents, and data. That’s exactly why they can act on their own instead of waiting to be asked.
Wrapped the draft — numbers still need a pass before the board sync.
Saw this go by — pulled the latest figures into and flagged the row ahead of the board-deck review.
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Search and translation, supercharged.
AI doesn’t just power your coworkers — it makes the whole workspace smarter for everyone.
Semantic Search
Hybrid full-text and meaning-based search across messages, documents, databases, and files — the same recall your agents use to find context and act.
Auto Translation
Automatic language detection with one-click translation in any conversation. Your global team, one conversation, 100+ languages.
Stop renting seats. Start building staff.
Bring your whole team into one workspace, then build the digital staff that take the follow-through off their plate — and watch them close the loop on a real workflow this week. Pricing scales with the work your agents complete, not headcount. Start your first agent free.