Internal AI Tools & Copilots

Give your team context.
At the point of work.

We build internal AI tools and copilots that help people investigate, prepare and decide. The experience fits the role, brings the right records together and keeps judgement with the person responsible.

Review workbenches · evidence · specialist assistance

2 to 4 weeksto a focused working proof
Senior engineeringresponsible for the implementation
Magus.PAYROLL VARIANCE REVIEW

Payroll variance review

Example
Payroll specialist / case workbench

Why did this employee’s pay components change this period?

01
SalaryApproved effective date retrieved
02
Retro adjustmentAffected periods compared
03
OvertimeMissing approval highlighted

An explanation the payroll specialist can verify.

Compare the employee’s pay components across periods.

01 · THE WORK

Built for the work your business needs

We build internal AI tools and copilots that help people investigate, prepare and decide. The experience fits the role, brings the right records together and keeps judgement with the person responsible.

02 · THE IMPLEMENTATION

Where it can make a difference

01

Finance and payroll

Explain variances, assemble supporting records and prepare an investigation for specialist review.

02

Operations and case teams

Compare evidence, identify missing information and prepare the next action inside the working case.

03

Commercial and management teams

Research accounts, prepare proposals and produce decision briefs from approved company information.

03 · THE IMPLEMENTATION

What we implement

01

Designed for the role

Start with the user’s task and build the smallest useful interface around it.

02

Grounded in the records

Connect the relevant sources and show which evidence supports the answer.

03

A visible review step

Let people correct, approve and continue the work without losing the original context.

IMPLEMENTATION EXAMPLE

A payroll copilot explains a variance before it is approved

A reviewer sees a material difference between the current and previous payroll run.

THE EVIDENCE

What the system needs

  • Current and previous approved payroll inputs
  • Effective dated salary and contract changes
  • Overtime, absence and retroactive adjustment records
THE CHECKS

What this example checks

  • Compare the same employee and pay components across periods.
  • Find approved changes and their effective dates.
  • Flag an unexplained delta or a change whose supporting approval is missing.
THE WORKING RESULT

What reaches the team

A variance explanation with supporting records, unresolved items and a proposed reviewer queue.

The decision boundary

The payroll specialist validates the explanation and approves any correction. The copilot does not alter pay or release the run.

WHAT THIS EXAMPLE WOULD TEST

Check an agreed payroll period against the specialist’s reviewed variances. Measure explanations supported by records, missing approvals, correction effort and review time.

Illustrative implementation scope. This describes a possible build, rather than a claimed client result.

05 · THE WORK

From a useful proof to daily use

Test with the people who own the task. Compare preparation time, factual support, corrections and the ease of moving the result into the next step.

A focused proof of concept ships in 2 to 4 weeks. We use the findings to scope production integrations, access, monitoring, rollout and support.

DELIVERED THROUGH OUR SERVICES

The work behind the solution.

YOUR NEXT STEP

Where does your team need a more useful assistant?

Bring us one workflow, real examples and the people who know the work. We’ll identify a practical first build.

LET’S START WITH THE WORK

Book a discovery call.

Tell us where the work gets stuck. We’ll explore a practical first project with our senior AI engineering team.

YOUR PRIVACY