Proven Peak Consulting: Automation, Software, and AI

The work, in plain terms

Process Improvement & Automation

We map how a process actually runs, remove steps that no longer serve a purpose, and automate what is left. Typical work: manual handoffs between systems, scheduled jobs that move and reconcile data, approval and reporting workflows that currently depend on someone remembering to run them.

Custom Software

Internal tools, integrations between systems that were not designed to talk to each other, and applications built for a workflow no off-the-shelf product covers. Delivered in your accounts and documented, so your team can maintain and extend it.

AI Agents & Reporting Automation

LLM systems connected to your own data, so people can ask questions in plain language and get an answer with the query behind it. Automated pipelines that surface anomalies, generate scheduled digests, and remove recurring reporting work.

Analytics, Metrics & Data Infrastructure

Canonical metric definitions, documented and wired into your reporting layer so teams are working from the same numbers. Underneath that, the data layer itself: dbt models, ETL pipelines and warehouse architecture, tested and documented.

Common questions

The practical ones, answered before you have to ask.

Do you work alongside our team or replace them?

Alongside. Your team knows things about your business that no external party is going to learn quickly, and the work is better for having them in it. We build with them, not over the top of them, and we write things down as we go so the knowledge stays with you.

Does this mean switching tools?

Rarely. We work inside the systems you already have rather than around them, whether that is your BI platform or the tools your process runs through. Replacing something that works is seldom the cheapest way to fix something that doesn’t, so if we do suggest a change you’ll get the reasoning and the cost of staying put alongside it.

What do we own when it is finished?

All of it, and you own it as it is built rather than receiving it at the end. Models are documented, pipelines are tested, and a runbook is written for whoever picks the work up next, whether that is your team or another consultant. Nothing important should exist only in one person’s head.

What happens after it goes live?

That is what the documentation and the runbook are for: your team should be able to operate and change it on their own. If you would rather we stayed involved afterwards, that is a separate conversation and a separate scope, not something quietly bundled into the first one.

How does it start?

A conversation, in whatever format suits you. You describe what is breaking, we tell you what we think is actually wrong and whether this is work we should be doing. If we both want to continue you get a written scope before anything is signed, built around a defined outcome rather than an open-ended retainer, so you know what you are buying.

Not the question you had? Ask yours directly.

Describe the problem However you prefer to start.

Describe the problem. We’ll tell you whether we’re the right fit.

Describe the situation in your own words, in as much or as little detail as you have.