Automate repetitive work. Keep judgement human.
Most automation work breaks in familiar places: reports that only one person can finish, CRM records that need hand-fixing before anyone trusts them, and handoffs that stall because the next step arrives without enough context. We audit and build operational systems for teams dealing with repetitive work, unreliable data, and broken handoffs so the repeatable part runs cleanly and the real decisions stay visible.
How work starts
The first job is to scope the failure correctly.
You send the workflow, export, handoff, or report that keeps slipping. We map where it breaks, what repeats, what still needs judgement, and what has to stay visible before recommending an audit, a fix, or a build.
Start with an audit when the process is still changing or the owner is unclear.
Fix the handoff when the work is mostly sound but the next step keeps arriving without enough context.
Build when the rule is stable, the trigger is visible, and the cost of drift is real.
Public builds
The strongest proof here is something you can inspect.
The work is public on purpose. Data Auditor shows what it looks like to turn a CRM trust problem into something measurable, reviewable, and ranked. The other builds test the same approach on workflow diagnosis and account visibility.
Data Auditor
Modelled on an operations team that could feel their CRM data was wrong (duplicate contacts, patchy email coverage, inconsistent stage values) but had no way to measure or prioritise the damage.
Scores completeness, consistency, and duplicate risk in one browser-only pass.
Shows the raw exceptions and a ranked fix order, so the next cleanup step is visible instead of guessed.
Workflow Analyzer
Modelled on a small sales team juggling calls, CRM updates, follow-up, and admin work without a clear view of where execution time was being lost.
Account Galaxy
Modelled on a sales director managing 20+ accounts across six industries with no single view of portfolio health, renewal pressure, or which companies needed attention this week.
Live demo
Data Auditor
Modelled on an operations team that could feel their CRM data was wrong (duplicate contacts, patchy email coverage, inconsistent stage values) but had no way to measure or prioritise the damage.
Live demo
Workflow Analyzer
Modelled on a small sales team juggling calls, CRM updates, follow-up, and admin work without a clear view of where execution time was being lost.
Live demo
Account Galaxy
Modelled on a sales director managing 20+ accounts across six industries with no single view of portfolio health, renewal pressure, or which companies needed attention this week.