
AI for contractors that knows the job site.
The rules that keep a job on track live in your superintendent's head: change order limits, sub preferences, inspection order. Dactic learns them in a few short interviews and builds AI agents that keep the office and the field on the same page.
What Dactic does for your projects
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 review change orders, check schedules and give subs the notice they expect, so problems surface before they reach billing.

Site notes Dactic captured in a few short interviews.
- “Change orders over $10k need the owner's rep on site.”From Interview: Superintendent
- “Never schedule drywall before the electrical inspection is signed.”From Project schedule + interview
- “This sub needs 72 hours' notice. Everyone else gets 48.”From Interview: Project manager
- Change order rules vary by project and by owner
- The office hears about field decisions too late
- Experienced supers retire and take the playbook with them
- A few short interviews capture field knowledge
- Agents check work against each project's real rules
- Stays current as projects change
One change order, two ways.
- Amount
- $14,000
- Owner's rep on site
- Not confirmed
- Dactic check
- Flagged before approval
- The office approves it from the request form
- The owner's rep wasn't on site
- The change is disputed at billing
- The agent knows changes over $10k need the owner's rep on site
- It flags the gap before approval
- The change is documented the way the owner expects
Agents that keep the office and the field in step.
Change order review
Follows the rule“Change orders over $10k need the owner's rep on site.”From Interview: SuperintendentSchedule check
Follows the rule“Never schedule drywall before the electrical inspection is signed.”From Project schedule + interviewSubcontractor scheduling
Follows the rule“This sub needs 72 hours' notice. Everyone else gets 48.”From Interview: Project manager
How does Dactic set up AI agents for a construction 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.
- monday.com
- Google Workspace
- Microsoft 365
- Box
Built to be trusted on every project.
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 contractors
What does Dactic do for a construction company?
Dactic learns the job site rules your superintendents and project managers carry, like change order limits, inspection order and how much notice each sub needs, and gives them to the AI agents you run. Those agents then check office work against each project's real rules before problems reach billing.
What can an AI agent handle for a contractor?
Office work that depends on field knowledge: reviewing change orders, checking schedules against inspection order, and giving subs the notice they expect. Dactic gives each agent the rules for that project, so the office catches problems before they reach billing.
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 monday.com, Google Workspace, Microsoft 365 and Box. 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 projects.
Connect your sources, answer a 5 to 7 minute AI interview, and deploy your first agent with one click.
