Client projects, SQL queries, Python analysis, dashboard builds, proposal writing, and billable hour tracking — all managed by Kiyomi. Analyze data, not admin.
A prospect wants a data audit proposal by Friday. You spend 3 hours on scope, pricing, and timeline instead of doing billable work.
You're busy all week but only 60% of your time is billable. The rest is admin, proposals, and chasing invoices. Your effective rate is half what you think.
Three clients, three databases, three sets of KPIs. Jumping between projects means you're always re-orienting instead of analyzing.
Two months of packed work, then crickets. No pipeline tracking. No lead nurturing. Just hoping the next project finds you.
Tell Kiyomi the client, problem, and scope. She generates a professional proposal with deliverables, timeline, pricing, and terms. Send it before the prospect cools off.
Kiyomi tracks billable vs non-billable hours per client and per week. 'Your utilization this week: 72%. Target: 75%. You need 3 more billable hours.'
Kiyomi remembers every client — their database, their KPIs, their stakeholders, their preferences. Switch projects without losing context.
Track leads, proposals out, expected close dates. Kiyomi flags: 'Pipeline is thin — you have no proposals out. Draft LinkedIn content and 3 cold emails this week.'
One command. Three questions. Your analytics practice has an AI project manager.