Mirza Systems

AI systems and automation

Systems built around the work, not the other way round.

We design and implement automation and custom AI systems for specific workflows: the ones that cost your people time, depend on information that is hard to find, or need a faster and more consistent response. Every system has defined review points and a named owner.

Four capabilities

Workflow automation

For repetitive, multi-step work that moves between people and tools

We connect the steps of a recurring process so information moves without being retyped: an intake form that creates a record, a request that is classified and routed, a document that is drafted from data you already hold. Existing tools stay in place where they work.

Human review sits wherever a decision has consequences. The automation prepares; a person approves.

Internal knowledge and SOP systems

For answers that currently live in documents, folders, and people’s heads

A system that lets staff ask a question in plain language and get an answer grounded in your own procedures, policies, and reference material, with the source shown. Useful when onboarding is slow, when the same questions recur, or when procedures change faster than people can keep up.

Information quality is the main dependency. Part of the engagement is deciding what is authoritative and who keeps it current.

Tailored assistants

For a role or team with a defined set of recurring tasks

An assistant configured for a specific job: preparing a weekly summary from several sources, drafting responses in your organization’s tone, checking a submission against a checklist. Narrow by design, so it is predictable and easy to review.

These are often built alongside role specific enablement, because the person using the assistant is the person who shapes it.

Voice and inquiry handling agents

For phone lines, inboxes, and web forms that receive a steady flow of similar requests

An agent that answers or triages inbound inquiries, captures the details a person needs, and hands off with context when a request is outside its scope. Suitable for first contact, scheduling requests, and routine questions where a consistent, immediate response matters.

We define clearly what the agent may and may not do, and what always goes to a person.

What this looks like in practice

Three illustrative scenarios. They are composites drawn from the kinds of work we see, not descriptions of specific clients, and they include no measured results.

Illustrative scenario

Routing inbound inquiries

The problem
A shared inbox receives requests of several kinds. Someone reads each one, decides who should handle it, forwards it, and follows up when nothing happens.
The workflow
An agent reads new messages, classifies them against agreed categories, drafts an acknowledgement, and creates a task for the right person with the relevant details extracted.
Human review
A person reviews the classification and draft before anything is sent. Unclear messages are flagged rather than guessed.

Before

  1. Inquiry arrives
  2. Someone reads it
  3. Decides who should handle it
  4. Forwards and waits
  5. Follows up
  6. Reply sent

After

  1. Inquiry arrives
  2. Agent classifies and drafts
  3. Person reviews
  4. Reply sent
Illustrative comparison of how an inquiry moves before and after automation. It shows the difference in steps, not measured performance.
Illustrative scenario

Access to internal procedures

The problem
Procedures exist but are spread across folders and versions. New staff ask colleagues, and experienced staff answer the same questions repeatedly.
The workflow
A knowledge system indexes the approved procedures and answers questions in plain language, citing the section it drew from. Out-of-date documents are excluded by an ownership rule agreed during discovery.
Human review
A named owner reviews unanswered and low-confidence questions weekly and updates the source material.
Illustrative scenario

Preparing a recurring report

The problem
A monthly report pulls figures from three systems and takes a day to assemble, most of it copying and formatting.
The workflow
An automation gathers the figures, populates the agreed template, and drafts commentary that highlights changes from the prior period.
Human review
The report owner checks the figures and edits the commentary. The draft is never distributed without that step.

What we look at before building

The solution depends on your processes, data, and tools. These are the questions discovery answers before we commit to a design.

Integrations
Which systems are involved, what access they offer, and which cannot be connected. We do not assume every product can be integrated.
Permissions
Who may see and act on what, and how the system respects those boundaries.
Information quality
Whether the source material is accurate and current enough to rely on, and what needs cleaning up first.
Review points
Where a person must approve, and where the system may act on its own within defined limits.
Ongoing ownership
Who maintains the system, updates the sources, and decides when it changes.

We do not build systems that make autonomous decisions where the engagement needs human judgment. That boundary is written into the design.

Discuss a workflow or system

Tell us which process is costing time or where information is hard to reach. We will respond by email.

Request a solutions consultation