AI for dispatch teams that knows every exception.
Exceptions are the job. Delivery windows, carrier preferences and escalation rules change by lane and by account. Dactic learns them from your dispatchers and builds AI agents that handle late loads and delivery changes the way your best dispatcher would.
Use AI dispatch teams can trust.| Load | Lane | Status | Agent action |
|---|---|---|---|
| L-2207 | Reefer · Chicago to Dallas | 7h late | Escalated to account manager |
| L-2211 | Dry van · Memphis to Atlanta | On time | Friday window checked |
| L-2214 | Dry van · Columbus to Newark | On time | Backup carrier assigned |
| L-2219 | Reefer · Fresno to Denver | 1h late | Within tolerance |
What Dactic does for your dispatch team
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 escalate late loads, check delivery windows and assign carriers with each customer's rules, so customers hear from you first.
Every lane has a story only one dispatcher knows.
- Each account's delivery rules live with one dispatcher
- Exceptions escalate by phone and get lost
- Typical AI tools treat every load the same
With Dactic, every load carries its rules.
- Customer rule“This customer refuses deliveries after 2 PM on Fridays.”From Interview: Dispatch lead
- Escalation rule“Reefer loads more than 6 hours late go straight to the account manager.”From Escalation SOP + interview
- Lane rule“Use the backup carrier on this lane from November to February.”From Interview: Carrier manager
- Rules mapped by customer, lane and carrier
- Agents triage exceptions with your real escalation path
- Updates as accounts and carriers change
One late load, two ways.
- The agent sends the standard delay email
- The account manager hears about it from the customer
- Trust takes the hit
- The agent knows reefer loads over 6 hours late go to the account manager
- It escalates with the load details attached
- The customer hears from you first
Agents that handle exceptions like your dispatchers do.
Delivery window check
Follows the rule“This customer refuses deliveries after 2 PM on Fridays.”From Interview: Dispatch leadLoad exception triage
Follows the rule“Reefer loads more than 6 hours late go straight to the account manager.”From Escalation SOP + interviewCarrier assignment
Follows the rule“Use the backup carrier on this lane from November to February.”From Interview: Carrier manager
How does Dactic set up AI agents for a logistics company?
- 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
- Slack
- monday.com
Built to be trusted with your customers.
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 logistics teams
What does Dactic do for a logistics company?
Dactic learns the exceptions your dispatchers handle every day, like customer delivery windows, escalation rules and lane-by-lane carrier choices, and gives them to the AI agents you run. Those agents can then triage late loads and delivery changes the way your best dispatcher would.
What can an AI agent handle for a dispatch team?
Exceptions that follow your rules: escalating late loads, checking delivery windows and assigning the right carrier for each lane. Dactic gives each agent the rules for that customer, lane and carrier, so customers hear from you first.
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, Slack and monday.com. 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 lanes.
Connect your sources, answer a 5 to 7 minute AI interview, and deploy your first agent with one click.