Theona turns the way your team already works into agents that run it
Your AI team has a queue, and your process is next quarter
Every tool holds a piece, none holds the whole thing
AI is already here, one person at a time
The Architect reads your conversations, meetings and tracker, then builds a map of how the work actually gets done.
We build the agents into your existing tools, and each one stays in draft until your team trusts it.
The agents change as your process changes, and your team takes ownership as we step back.
Curious what your map would look like?
Get an example mapMaria Keller
@Theona did anything new come in from the landing page this morning?
Theona APP
Yes, 3 new leads overnight. Drafted outreach for the two that match your ICP:
Northwind Robotics · VP Ops · scored 87/100
Draft reply ready for review.
Lead processor
Qualified lead from landing form, added to CRM
Personal outreach agent
Drafted a reply for a new lead
Personal outreach agent
Draft waiting for review before sending
Booking notifier
Posted a new call booking to #sales
Call assessment agent
Compiled call summary, updated deal notes
Heavy models for hard calls, light ones for the rest
AI judgment for the exceptions, code for the volume
A new lead, a finished meeting, a Monday morning
AI Engineer role. 150 to 200 applications a week, 40 to 60 reviewed by hand
Weekly time, before vs after
Results
18h→3h
Total weekly operational workload
Freed-up hours go into sourcing
| Personal AI Tools | Build It Yourself | Theona Pilot | |
|---|---|---|---|
| How do you know what to automate? | You identify obvious tasks yourself | Requirements from stakeholders | The Architect reads your conversations, meetings and tracker to find the real bottleneck |
| How long until it works? | 5 min, but incomplete | 4-6 months of engineering | 5-9 weeks: discovery (2-3w) + build & deploy (3-4w) |
| Who can actually use it? | One person | Team, if you build that in | Whole team, from day one (Slack, Teams, CRM, etc.) |
| What happens when the process changes? | Breaks | More engineering | Agents adapt with you; team ownership means you evolve it |
| Who's responsible for it working? | You alone | Your engineering team | We are, until your team is ready |
| Real win: what you're trading | Your time | Months + your best engineers | 5-9 weeks + Theona's expert diagnosis |
Your data stays yours and is never used to train models. Enterprise can deploy inside its own VPC
Deploy inside your own infrastructure with your own model providers. Nothing leaves your environment.
They have a roadmap and a queue, and your process is competing with everyone else's for a slot. We work on your process only, starting now. What we build runs on your infrastructure rules and your team owns it afterwards.
No. That is what the Architect does. It reads your conversations, meetings and tracker and builds the map from how the work actually happens, not from how a document says it should.
One or two sessions during discovery, then a weekly 30 to 45 minute demo call. Everything else runs async.
Every agent starts in draft mode, so your team sees what it would do before anything is sent. Before anything sensitive or irreversible, the agent asks for confirmation. Every run is logged.
Conversations, meeting recordings and your task tracker to build the map. Each agent is scoped to exactly what it needs, and never gets more access than the person who connected it.
No. Process owners adjust the agents themselves after the pilot: change the logic, connect a new tool, extend to a new workflow.
Either way, your team works differently in a few weeks.