AI for medical practices that knows your rules.
Your front desk knows the rules no policy manual covers: payer quirks, scheduling exceptions, billing workarounds. Dactic learns them from your team and builds AI agents that handle scheduling, intake and prior auth paperwork the way your best coordinator would.
Use AI care teams can trust.
What Dactic does for your practice
New to AI agents? An AI agent is software that does a task for your team, like answering a routine request, routing an approval or preparing a document. Your agents run in the AI tool your team already uses, so there is nothing new to learn. Start on your lunch break. Have an AI agent when you get back.
You show Dactic how you work
Connect the tools your team already uses, then answer a 5 to 7 minute AI interview about the rules nobody wrote down.
Dactic builds your AI agents
Each agent follows your rules and shows which rule it used. Nothing deploys to your AI platform until you approve it.
The routine work gets done your way
Agents handle scheduling changes, intake checks and prior auth prep the way your best coordinator would, so fewer requests come back for rework.
A day of exceptions at the front desk.
Every one of these is routine for your best coordinator, and invisible to an AI agent that only reads the policy manual.
- 8:05 AMA new patient asks for the 4:30 PM slot.“New patient visits never go in the last slot of the day.”From Interview: Front desk lead
- 11:40 AMA patient moves a follow-up visit to Friday, three days out.“Reschedules more than 48 hours out don't trigger the fee.”From Scheduling policy + interview
- 2:15 PMA procedure is booked for a patient on a payer with special rules.“Two payers need prior auth for this procedure. The rest don't.”From Interview: Billing lead
- Payer and scheduling exceptions live with two or three senior staff
- New hires learn by asking, for months
- Typical AI tools follow the written policy and miss the exceptions
- Short interviews capture each exception, with who confirmed it and when
- Agents see only what each task needs, and personal data is redacted before indexing
- Updates as your rules change, so agents keep up
One reschedule, two outcomes.
- The agent checks the written policy and books it
- Billing later finds the payer needs a new prior auth
- Staff call the patient back to undo it
- The agent checks the payer rule Dactic captured from billing
- It flags that a new prior auth comes first
- The coordinator gets a ready-to-send request
Agents that take admin off your front desk.
Prior auth check
Follows the rule“Two payers need prior auth for this procedure. The rest don't.”From Interview: Billing leadNew patient scheduling
Follows the rule“New patient visits never go in the last slot of the day.”From Interview: Front desk leadReschedule triage
Follows the rule“Reschedules more than 48 hours out don't trigger the fee.”From Scheduling policy + interview
How does Dactic set up AI agents for a medical practice?
- 01
Connect
Connect the tools your team already uses. Dactic reads only the files and conversations you allow.
- 02
Map
Dactic reverse engineers your business processes by studying how your workflows and tools fit together.
- 03
Interview
Your team answers a 5 to 7 minute AI interview about the details that never got written down.
- 04
Deploy
Dactic packages the agent with your rules and sends it to the AI platform you already use, like monday.com, Claude or OpenAI. One click, and about 20 seconds later your agent is in your AI platform.
- Google Workspace
- Microsoft 365
- Box
- Slack
Built to be trusted by care teams.
Sees only what it needs
Each agent gets only the information its task requires, and nothing more.
Personal details protected
Personal data is redacted before indexing.
Never used to train AI
Your data is never used to train models.
You approve everything
Nothing deploys to your AI platform until you approve it.
Questions about Dactic for medical practices.
What does Dactic do for a medical practice?
Dactic learns the unwritten rules your front desk and billing team follow, like payer exceptions and scheduling limits, and gives them to the AI agents you run. Those agents can then handle scheduling, intake and prior auth paperwork the way your best coordinator would, instead of guessing from the policy manual.
Does Dactic give medical advice?
No. Dactic is built for the administrative side of a practice: scheduling, intake, billing and prior auth paperwork. Clinical decisions stay with your clinicians. Agents follow the operating rules your staff confirmed, and every answer shows where the rule came from.
Do we need a technical team to set it up?
No. Connect your sources, answer a 5 to 7 minute AI interview, and deploy your first agent with one click. Onboarding is included on every plan, with no implementation fee. Nothing deploys to your AI platform until you approve it.
Is our data used to train AI?
No. Your data is never used to train models. Personal data is redacted before indexing, and each agent sees only what its task needs. Dactic doesn't store your raw data. It's processed ephemerally.
Do I need my own AI tool?
Yes, and that is an advantage: your agents run in the AI tool your team already uses and trusts, like monday.com, Claude or OpenAI, so there is nothing new to learn. Dactic reads from tools like Google Workspace, Microsoft 365, Box and Slack. If your model provider triples its price, move your agents. Their instructions and context go with them.
How much does Dactic cost?
Dactic is priced per team, not per token. It starts at $49/month for 1 employee, and onboarding is included on every plan with no implementation fee. Larger teams pay by team size, not by usage.
See your first agent on your own office work.
Connect your sources, answer a 5 to 7 minute AI interview, and deploy your first agent with one click.