Azimuth — AI Project Estimation & Proposal SaaS
Software agencies and freelance teams were spending four to eight hours per proposal on manual scoping, requirements documents, cost spreadsheets and client-facing proposals — unbilled work, repeated for every deal, with estimates that varied depending on who wrote them.
- Client: Azimuth · Industry: SaaS & Agency Tools
- Discovery with agency founders, project managers and senior developers mapped the full sales and scoping cycle. The resulting SaaS uses Anthropic Claude to turn raw requirements — pasted text or spreadsheets — into module, feature and task breakdowns with per-role hour estimates, then generates a…
- Reported 4–8 hours saved per proposal
- PRD, TRD and client proposal generated from one scoped project
- Seven-stage CRM pipeline with lead-to-project linking and follow-up reminders
- Branded proposal emails with open tracking and expiring shareable links
- Time saved: 4–8 hrs — Per proposal
- Documents: 3 — PRD, TRD and proposal
- CRM stages: 7
- Technologies: React 18, TypeScript, Supabase, Anthropic Claude, Resend, Deno Edge Functions
- Figures as reported in Ortem Technologies' published case study.
- Delivered by Ortem Technologies — Full case study on ortemtech.com: https://ortemtech.com/case-studies/azimuth-ai-project-estimation-platform/