MITHLAK

CUSTOM AI ASSISTANTS

Build an assistant around a real job.

A useful assistant has one clear responsibility, approved information, defined boundaries, realistic examples, and a review process. We design all five before choosing how the assistant will be delivered.

Describe the repeated taskExplore assistant examples

THE PROBLEM

Generic AI knows language. It does not automatically know your company.

Teams often begin with one long prompt and a folder of files. The result may work during a demonstration, then become inconsistent when the request changes, the information conflicts, or another employee uses it. We treat the assistant as a small operational product: a defined user, job, source of truth, boundary, test set, and owner.

  • Repeated task depends on one experienced employee.
  • Team searches manually across many files.
  • AI output changes between users.
  • Sensitive or unsupported claims appear in drafts.
  • The assistant is asked to do too many unrelated jobs.
  • No one owns updates or testing.

WHAT WE BUILD

From use case to handover — designed in five layers.

Use-case definition

  • User and owner
  • Clear job to be done
  • Inputs and outputs
  • Frequency and impact
  • Human review point
  • Success and failure examples

Knowledge preparation

  • Source inventory
  • Approved and rejected sources
  • File organization
  • Conflict resolution rules
  • Missing-information behavior
  • Update ownership

Assistant architecture

  • System instructions
  • Tool or platform choice
  • Conversation or form structure
  • Retrieval behavior
  • Output format
  • Guardrails and escalation

Testing

  • Normal requests
  • Incomplete requests
  • Conflicting sources
  • Out-of-scope questions
  • Sensitive content
  • Arabic and English behavior
  • Different user styles

Handover

  • User guide
  • Admin guide
  • Approved examples
  • Test report
  • Training session
  • Support period

PROCESS

The job first — then the tool.

  1. 01

    Choose the job

    We identify one valuable repeated task before discussing tools.

  2. 02

    Prepare the knowledge

    We define what the assistant may use, what is outdated, what conflicts, and when it should admit uncertainty.

  3. 03

    Build the assistant

    We create the instructions, retrieval structure, output format, guardrails, and user experience.

  4. 04

    Test edge cases

    We test incomplete requests, conflicting information, misuse, tone drift, and out-of-scope questions.

  5. 05

    Train & monitor

    We hand over usage guidance, ownership, update rules, and the initial improvement process.

SHOWCASE

One request. Four focused roles.

The roles can be separate assistants or one controlled workflow. The design depends on risk, users, and how often the task occurs.

Request

  • Prepare the next client proposal using our approved service scope and the discovery notes.

System behavior

  • Proposal Assistant checks required information.
  • Internal Knowledge Assistant retrieves approved service details.
  • Brand Reviewer checks tone and claims.
  • Human owner approves or returns the draft.

SCOPE & BOUNDARIES

What we design for — and what we don't promise.

We do not promise:

  • Perfect factual accuracy
  • Replacement of professional judgment
  • One assistant for every company function
  • Automatic publication or customer communication without approval
  • Safe processing of sensitive data without a separate assessment
  • Permanent performance without maintenance when source information changes

Projects may exclude:

  • Large-scale document cleaning
  • OCR of poor scans
  • Proprietary model training
  • Complex enterprise identity and access management
  • Custom voice or image-model training
  • Unsupported platform integrations

QUESTIONS

Common questions.

Which platform will you use?

The platform is chosen after the task, users, data, security, collaboration, and maintenance needs are understood. The service is not tied to one vendor.

Can the assistant use our files?

Yes, selected approved files can be organized as a knowledge source. We review permissions, quality, conflicts, and sensitive information before use.

Can it take actions automatically?

Some assistants can be connected to approved tools through an automation or web application. Actions, permissions, logs, and approval points are scoped separately.

What happens when the answer is not in the knowledge?

The intended behavior is defined during the project. It may request missing information, state that the answer is unavailable, or escalate to a person rather than inventing an answer.

What does your team repeat every week?

Describe one task, who performs it, what information it needs, and what still requires human approval.

Start an Assistant brief