Who it fits
Companies with repetitive administrative work, slow handoffs, or decisions waiting on information that already exists somewhere in the business.
What we do
- Select two or three workflows with clear value.
- Choose tools that fit your stack and your risk tolerance.
- Define the approval points: where a person signs off.
- Set the information handling: what data moves, who sees it, how long it is kept.
- Build and test against the baseline.
- Measure, train the team, and document how it runs.
Illustrative examples
Examples, not delivered engagementsInbound inquiry triage with a person approving every reply. Routine documents drafted from approved templates. A weekly operating report assembled from existing systems. First-pass review of records before a specialist looks.
What you receive
- Workflow scope and approval design.
- A written data handling note.
- A working implementation.
- Before-and-after measurement.
- Team training.
- A runbook your team owns.
What it excludes
Custom software products, unattended automation of regulated or financial decisions, and anything that cannot be measured.
How it starts
The first fix comes first, at no charge, and often shows which workflow to start with. Anything beyond it is agreed in writing before work begins.
Questions about implementation
- Which AI tools do you use?
- The ones that fit your existing systems and your risk tolerance. Tool choice is made with you after the workflows are picked, not before.
- What happens to our data?
- Information handling, privacy considerations and data stewardship are written into the scope before anything is connected: what goes where, who can see it, how long it is kept. Nothing about your data is collected through this website.
- What happens when the model is wrong?
- The approval points exist for that reason. A person checks the output before it reaches a customer, a record or a decision. Error rates are part of the measurement.
- Who owns it afterwards?
- Your team. Training and a runbook are part of the deliverable.
- Who builds it?
- An operator from the collective leads the scope and the approvals. A developer joins for the build and integration where the workflow needs one. Your team is in the room throughout.
Next step
Bring us three problems.
Fifteen minutes. We pick one together and fix it within 48 hours, at no charge. If LavaHopper is not the right help, you will hear that too.
Prefer to read first? Plain-English writing on putting AI to work in a business, from inside a company doing it. Read the free series.