Each system is built around one job your team already does. It prepares the work, shows where each detail came from and holds anything uncertain for a person to check.
Document and approval workflows
Pull key details from documents and flag missing or conflicting information for review.
Illustration: documents prepared for review.
The system shows where the details came from. Your team checks the flagged items and approves the next step.
Example: claims intake Each submission is checked against the list of required documents, and the details are pulled into one record. Complete files are queued for a reviewer to approve. Incomplete ones are held with the missing items listed, so the reviewer knows what to ask for.
Inputs
Documents your team is allowed to use, plus the information needed to review them.
Output
An organized record, documents ready for review and a list of items that need attention.
Reviewer
The person who checks the record and approves the next step.
Boundaries
We agree which documents the system can access, who can use it and which systems it connects to.
Help your team find answers, draft briefs and prepare follow-ups.
Illustration: an answer linked to its sources.
The assistant shows which sources it used and flags questions it cannot answer. Your team checks the draft, and actions that require approval wait for that review.
Example: lead follow-up When a new inquiry arrives, the assistant gathers what your team already knows about the contact and the product they asked about, then drafts a first reply. A person reviews the draft and sends it.
Inputs
Sources your team is allowed to use and a specific task or question.
Output
An answer with source references, a draft brief or a proposed follow-up.
Reviewer
The person who checks the draft and approves any action.
Boundaries
The assistant prepares answers and drafts. Actions that need approval stay separate.
Turn data into reports and dashboards that help your team make decisions.
Illustration: data organized into a report.
We start with who will use the data and what they need to decide. The work can include organizing the data and defining the dataset and how it is prepared. We can present the results in a report, dashboard or API for another system to use.
Example: operations reporting Records exported from your existing systems become a weekly report of backlog, exceptions and turnaround by team. The report notes which records were missing or excluded.
Inputs
Data your team has the right to use and an identified audience.
Output
A report, dashboard or API that supports a specific decision.
Reviewer
The people responsible for the method, what the data covers and the decision it supports.
Boundaries
We agree how the data may be used and shared, who will run the product and which limits its users need to understand.
Describe what your team does today and what you want to improve. If AI is the wrong tool for the job, we will say so and suggest what would fit better.
The examples on this page show the kind of system we build. They are not client case studies.
