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Each location asks its own question. Most of them are the same question.

One central team serves every location, and the same answer is rebuilt from the same sources every time it is needed. Botable builds and runs the AI layer that takes the rebuilding back. Everything it drafts stops at your team's desk.

Start with one gap

Many locations wide. One team deep.

Every location sends its requests to the same mailbox, its records to the same systems, and its hardest questions to the same small team. Each reply is drafted fresh, from the latest policies.

  1. The shared mailbox is the whole front door.

    Questions from many locations arrive through one mailbox. Each message has to be read, sorted, researched, drafted, and assigned before the issue underneath it can move. The team doing all that reading is the same team the whole organization is waiting on.

  2. Every routine reply is a small research project.

    A routine workforce reply has to match current policy, so someone finds the passage that applies and builds the response around it, message by message. The AI layer can do the finding and the drafting, each line naming the policy it draws on. Your team still reads every reply before it goes anywhere.

  3. The agreement was signed once. The record has been edited ever since.

    However it happens, record and agreement drift apart. Before anyone can correct the record with confidence, every difference has to be found and shown.

  4. The routine is central. The exceptions never are.

    A central team can serve many locations because most requests follow the same path. The ones that do not are local: this clinic, this program, this person's circumstances.

The AI layer operates, your team decides.

  1. Official record

    The official sources do not multiply.

    Approved policy, the executed agreement, the employee record: one copy of each, one system holding it, one owner accountable for it, however many locations depend on it. The AI layer draws on those sources.

  2. Work around it

    The AI layer absorbs the repetition.

    It reads what arrives, files it where your team would, finds the passage that governs, and prepares the draft or the comparison. The hundredth request gets the same preparation as the first. Preparing is the whole of its job.

  3. Human decision

    Nothing goes out on the layer's say-so.

    The case the handbook did not foresee, the reply an employee receives, what to do when record and agreement disagree, the local exception: your organization decided long ago who owns each of these. We build so it stays decided.

The answer you gave yesterday is the place to begin.

Three pieces of the week's most repeated work, each built to run on your own mailbox and policy library.

  1. When every location writes to the same address

    HR Inbox Integration

    It sorts every message into the categories your team works from and prepares a draft from your policy library, sources shown. HR reads, edits, and sends.

  2. When the answer lives at headquarters and the question does not

    Policy Search & Retrieval

    The question can be asked from any location, in everyday words. What comes back is the current policy, opened to the section that answers it, ready for whoever asked to read the passage themselves.

  3. When the routine question does not need to become an email

    Employee Policy Answers

    The employee gets an answer drawn from approved policy, with its source named, before the question ever reaches the mailbox. When the answer would take a judgment call, no answer is given. The question goes to HR with nothing decided on the way.

Related work

Bring us the answer your team could give in its sleep.

We map the work, build the AI layer that carries your central sources to every location, and stay to run it as clinics are added, the handbook is rewritten, and the mailbox never quite empties.

Start with one gap