An honest comparison
monō vs Microsoft 365 Copilot
“We already have Copilot.” Good, monō makes the rest of the work run itself.
Our honest position
M365 Copilot makes individuals faster inside Office apps. monō is a different layer: it runs autonomous agentic operations across your business. They’re complementary, keep Copilot for personal productivity; use monō to run the work.
| Dimension | Microsoft 365 Copilot | monō |
|---|---|---|
| Unit of value | A person who works faster | Work that runs itself |
| Autonomy | In-app assistance on request | Autonomous multi-agent operations |
| Scope | Inside Office apps | Across every system |
| Model choice | OpenAI via Azure | Model-agnostic |
| Data residency | Microsoft cloud | Your cloud, inference-only |
| Cost to run | Per-seat licence | Outcome-based; harness efficiency + BYO keys |
| Compounds over time? | No memory that compounds across your tools and teams | Yes, one memory across your tiles, people and time, inside your tenant |
Unit of value
Microsoft 365 Copilot: A person who works faster
monō: Work that runs itself
Autonomy
Microsoft 365 Copilot: In-app assistance on request
monō: Autonomous multi-agent operations
Scope
Microsoft 365 Copilot: Inside Office apps
monō: Across every system
Model choice
Microsoft 365 Copilot: OpenAI via Azure
monō: Model-agnostic
Data residency
Microsoft 365 Copilot: Microsoft cloud
monō: Your cloud, inference-only
Cost to run
Microsoft 365 Copilot: Per-seat licence
monō: Outcome-based; harness efficiency + BYO keys
Compounds over time?
Microsoft 365 Copilot: No memory that compounds across your tools and teams
monō: Yes, one memory across your tiles, people and time, inside your tenant
Cost-to-run is illustrative, same outcome, materially fewer tokens; with your own API keys, your rates, no markup. All marks belong to their owners.
No FUD
When they're the right call.
- Your need is individual productivity inside Word, Excel, Outlook and Teams.
- You’re not yet looking to automate end-to-end operations with agents.
- You want a per-seat assistant, not an operations layer.
For making individual knowledge workers faster in Office, M365 Copilot is excellent, and can sit alongside monō.
The architecture difference
Three decisions they can't retrofit.
Sovereign by architecture
Inference-only. Your cloud, your keys, the data never builds anyone else's product.
Model-agnostic
Frontier, open-source, fine-tuned, swap models without rewrites.
Your own API keys
Your lab accounts, your negotiated rates. We never mark up your tokens.
In depth
The fuller picture.
What M365 Copilot is for
Microsoft 365 Copilot makes individuals faster inside Word, Excel, Outlook and Teams. As a per-seat assistant for personal productivity, it is excellent, and it sits comfortably next to monō. The unit of value is a person who works faster.
A different layer, not a rival
monō runs autonomous agentic operations across the business, where the unit of value is work that runs itself. The two are complementary: keep Copilot for personal productivity, and use monō to run the work across every system on your own models. One makes a person quicker. The other makes the work happen without one.
FAQ
Questions, answered straight.
- We already have Copilot. Do we still need monō?
- They solve different problems. Copilot speeds up individuals in Office; monō runs operations across your systems with agents. Most organisations run both.
- Does monō replace Office or Teams?
- No. monō runs the work around your tools rather than replacing them. Copilot stays for in-app assistance.
- Where do the agents run?
- In your own cloud, inference-only, with governance on every action. Your data stays inside your perimeter.
- How is value measured?
- By outcomes the agents ship, not seats. With your own API keys and a token-efficient harness, the cost tracks the work done.
See it on your own use case.
Your use case, live on the platform, beside whatever you're evaluating.