Understand the request.
Extract the fields that matter from invoices, faxes, contracts, chats, alerts, and spreadsheets, with a confidence floor for each.
Product case · Operations agents
AgentDad: the repetitive work, taken care of.
AgentDad builds and runs supervised AI agents for operations, support, and sales teams. Each agent works inside the systems a company already uses, answers from that company’s own records and documents with sources, fixes what its policy allows, and stops for a named person before money moves, production systems change, or a customer receives a commitment.
- Public evidence
- A live demo with interactive cases, simulated browser runs, a narrated film in English and Mandarin, and a library of mapped use cases
- Working object
- A traced run: every document read, search, tool call, check, approval, and action, replayable after the fact
- Built by
- Explore AI Inc., Irvine, California, for teams that want agents in production within 30 days
01 · Operations problem
The work that repeats hides in inboxes, portals, and spreadsheets.
Carrier invoices checked against rate confirmations, referrals keyed from faxes, purchase orders retyped into an ERP, network alarms chased through old tickets, buyers waiting overnight for an answer the inventory system already holds. Each step is simple; the volume and the switching between systems are what consume a team.
AgentDad focuses on that work: high-volume, rules-heavy, spread across several systems, and important enough that mistakes and delays cost money or customers.
02 · How an agent works
Read, search, act, and ask, in that order.
Answer from your data.
Search live databases, policies, manuals, incident history, and past tickets, and cite the passage behind every answer.
Work the systems you have.
Use APIs where they exist and supervised browser actions where they do not, with credentials from the company’s own vault.
Stop before anything risky.
Route payments, discounts, production changes, and new customer commitments to the right person with the evidence attached.
03 · Approval gates
Autonomy is earned per action, not granted per agent.
Control model
Policies decide what an agent may finish alone; people decide everything else.
Each workflow starts in shadow mode, where the agent works beside the team and changes nothing while its decisions are scored against what people actually did. Thresholds widen only when that record earns it, and any change to a policy is versioned and tested before release.
Agent finishesLookups, data entry, routine replies, and fixes inside written policy
Agent preparesPayments, disputes, discounts, production changes, and first replies to new customers
Person decidesEvery prepared action above, plus pricing exceptions and clinical, legal, or coverage judgments
Always recordedEvery model call, tool call, approval, and action, replayable against a new version
04 · Public demonstrations
Show the work without showing anyone’s data.
The AgentDad site demonstrates complete workflows: a dealer chat answered from live inventory, a fiber fault traced through incident history and a vendor manual, a support ticket the agent resolves itself, a freight audit through a portal with no API, a sales quote, and a meeting turned into CRM updates.
Every company, portal, person, and document in those demonstrations is fictional, and portal addresses use reserved example domains. Time and cost figures are typical estimates that show the shape of the work, not measured client results or testimonials.
Demonstration boundary. The demos are simulations of the product’s behavior. They are not recordings of a client system, endorsements by any company named in an industry example, or a promise that a specific workflow will reach the same level of automation.
05 · Deployment and limits
One workflow live within 30 days, measured on your own cases.
A deployment starts with a free 30-minute teardown of one workflow, then about ten days of building connectors, rules, and a test set from the company’s own history, a shadow week, and a gradual move to autopilot. A Premium engagement deploys up to five workflows across departments over 90 days with a dedicated team.
Agents can misread a document, find an outdated source, or meet a case their policy does not cover. That is why accuracy is measured before an agent acts, why uncertain cases go to a person, and why every step stays inspectable afterwards.
No outcome guarantee. AgentDad does not provide legal, medical, financial, tax, or insurance advice, and it does not guarantee a level of savings, accuracy, or automation for any workflow. Quotes and expected payback come from a written scope after the teardown.