Hirsch AI Solutions

Our approach

Think clearly.
Build carefully.

Ambition is the starting point.
Useful work is the test.

We start with one meaningful workflow, build with the people who use it and measure the difference before expanding.

A sculptural staircase rising through a bright architectural atrium
A clear path from possibility to practice.

How we work

Four stages.
No mystery.

Each stage ends with a tangible output and a decision. You can see what is being built and why it matters.

  1. 01

    Discover

    Understand the work.

    Speak with the people doing the job. Map its inputs, decisions, handovers and exceptions. Establish the time, effort and quality of the current process.

    The output

    A workflow map and an evidence-based opportunity shortlist.

  2. 02

    Define

    Agree what better means.

    Choose one use case. Set its scope, owner, success measures and data boundaries. Compare the expected value with implementation and ongoing costs.

    The output

    An agreed project brief, acceptance criteria and a go/no-go decision.

  3. 03

    Build & validate

    Test against reality.

    Build a small working version. Test typical inputs, ambiguous cases and failures. Review outputs with users and check that human approvals and recovery routes work.

    The output

    A pilot with recorded test results, known limitations and launch criteria.

  4. 04

    Launch & transfer

    Make it yours.

    Introduce the system in a controlled rollout. Train users, document operation and assign responsibility for access, incidents, quality and future changes.

    The output

    A handover pack and a practical measurement and review schedule.

Responsible by design

Confidence comes
from control.

AI can be wrong. Good implementation makes its limitations visible and gives people a reliable way to intervene.

Defined data boundaries

Agree approved sources, access permissions, retention and vendor terms before data is connected.

Human review where it matters

Keep people responsible for consequential decisions. Route uncertain outputs and exceptions to an appropriate reviewer.

Quality you can check

Use representative test cases, source references and acceptance criteria. Monitor errors and rework, not just speed.

Ownership after handover

Name the system owner and document how to pause, recover, escalate incidents and approve changes.

Make the business case

Count the time.
Then count the cost.

Estimate what an improved workflow could release. These are your assumptions, not a forecast or a promise of savings.

Illustrative weekly capacity

10 hours

£300 equivalent time value per week

Before implementation fees, subscriptions and maintenance. Time released is capacity, not automatically cash saved.

Calculated locally. Values are not sent or saved.

Would this make a difference?

Bring your estimate. We’ll discuss what a pilot would need to prove.

Discuss your workflow

The first step

Small enough to start.
Useful enough to matter.

Choose one workflow.
Give it a clear measure of success.

Book a discovery call