# What we build

Source: https://nihilosolutions.com/what-we-build
Site: https://nihilosolutions.com/llms-full.txt

What we build

# Automations for the work your team already does.
We do not sell a product you have to change your process around. We match the process you run today, then take the manual steps out.

01

### Operational service reporting
Recurring client reports, status packs and summaries that today get assembled by hand from other sources. We connect the sources, apply the same rules every time, and render the output into the template your clients already recognise.
- Client, service, or job summaries in your own template
- Exception and overdue lists
- Delivery on a cycle, to wherever it goes today

02

### Data preparation and cleanup
The work that happens to data before it can go into a system: reshaping what arrived into what the system accepts, correcting what is always corrected, and checking it before rather than after it lands.
- Mapping between the shape it arrives in and the shape you need
- Validation before the load, not discovery afterwards
- Only the genuinely broken records put in front of a person

03

### Capturing values from where they live
Any operation that still depends on a person fetching a number your systems cannot reach and typing it in. A device, a portal with no export, a document, a photo, a screen in another system. We capture it, validate it, and write it where it is acted on.
- Readings, counts, and figures from sources with no way out
- Capture for billing, stock, scheduling, or allocation
- Fewer estimates and fewer corrections after the fact

04

### Client and record lookup
Staff should not have to search several systems to answer who this is. We build a lookup against the sources you already have, so the right customer, job, or account comes back in one step.
- Customer, rider, or account lookup
- Job or ticket retrieval during a call
- Less re-keying between the systems that hold the answer

05

### Similar operational workflows
If the pattern is the same (repeatable, rules-based, and currently done by a person) we will look at it. Intake, status updates, data movement between tools, scheduled checks.
- Moving the same record from one system to another
- Flagging exceptions instead of reviewing every row
- Turning a documented process into a running workflow

These are types of systems, not a catalog of products. Every build is scoped to your process, your tools, and your definition of done. For what each one looks like in practice, see the weekly report , data cleanup and record lookup examples.
Browse use cases

## Bring the process that keeps coming back.
A discovery call is thirty minutes. You leave knowing whether it is worth automating.
Book a discovery call