01
AI will write most code, but scope it cannot own
A generation of AI-native tools will generate code faster than any team. The constraint will be clarity: knowing exactly what to build, why it matters, and how to measure done.
AI software delivery company
About Mayosana Private Limited
Mayosana Private Limited (brand: Mayosana) — custom software delivery for teams that need clarity, speed, and accountability.
We build an AI-assisted delivery platform where structured requirements meet human expert review, milestone-based pricing, and a client-visible sprint board. Our focus is reducing pre-kickoff rework, making scope legible to stakeholders, and shipping production-grade outcomes — not prototype demos that fall apart after the first integration.
Company philosophy
Mayosana’s thesis on AI software delivery and expert accountability
40%
Reduction in pre-kickoff rework
3×
More projects reviewed per week
10×
Faster from idea to initial scope
02
The expert review layer will become the product moat
As generation costs approach zero, the value shifts to interpretation and commitment. Who validates the plan, signs the scope, and takes accountability is the real differentiator.
Mayosana delivery model — inner and outer loops
Human-led inner loop
Inner loop.
(strategy, debugging, comms) will be human.
The decisions that shape product direction — what to build, what to cut, when to escalate, and how to communicate progress — require human judgment that cannot be delegated to a pipeline. These are the moments that define trust.
- Strategy
- Debugging
- Comms
- Trade-offs
Agent-driven outer loop
Outer loop.
(code, design, deploy) will be agent-driven.
Routine generation work — writing boilerplate, converting specs to code, testing regressions, and deploying to staging — is exactly what AI agents do without fatigue, delay, or ego. Mayosana automates the outer loop so humans can focus on the inner.
- Code
- Design
- Tests
- Deploy
Mayosana Private Limited · delivery system
In-house AI agents for software delivery velocity
Mayosana Private Limited operates an AI-native delivery stack: agents draft structured requirements and sprint artifacts; senior engineers, designers, and PMs own architecture, quality, and production outcomes — so custom software ships with both speed and accountability.
Structured AI intake and expert review before kickoff commitments
AI agents embedded in every sprint cycle alongside human delivery leads
Production-minded engineering, QA, and observability — not throwaway prototypes
Client-visible boards that reduce status escalations and rework loops
Requirement strategist
MayosanaAI
Captures BRD, FRD, scope and clarification questions before any proposal.
Sprint planner
PM Engine
Converts approved scope into milestones, sprints and client-visible tickets.
Quality guardrail
QA Agent
Generates test plans, regression checklists and acceptance criteria.
Human execution
Delivery Desk
Senior designers, engineers, QA and PMs accountable for each milestone.
Work with Mayosana Private Limited
Start a project with Mayosana Private Limited
Book a strategy session to align on goals, delivery model, and a milestone-based roadmap for your custom software — led by Mayosana’s AI intake and expert review process.
Services are provided by Mayosana Private Limited. The consumer-facing brand is Mayosana.
Questions, answered
Frequently asked questions about AI software delivery
Basics for founders and detailed answers for engineering and ops leads — written in plain language. Bring harder questions to your expert review call.
Basic FAQ
Starter questions
Mayosana is an AI-managed software delivery platform where MayosanaAI creates structured requirements fast, and human experts own review, commitments, and shipped outcomes.
You start with an AI intake chat. MayosanaAI asks the right business + technical questions and drafts a structured scope (BRD/FRD-style). Then an expert review call validates assumptions, risks, and what will ship first.
You receive a proposal with milestone payments and an execution plan. Once activated, delivery runs sprint-by-sprint with client-visible tickets, demos, blockers, and approvals in the dashboard.
Pricing is milestone-based (outcome-based). You pay to unlock the next delivered outcome, not for open-ended hours. Each milestone maps to a demo-ready scope with clear acceptance criteria.
Yes. Your dashboard shows sprints, client-visible tickets, blockers, documents, meetings, payments, and support — so the platform becomes the shared source of truth.
Advanced FAQ
For technical and operations leads
AI handles speed: requirement discovery, first drafts, structured outputs, and automation triggers. Humans handle accountability: review, final decisions, milestone commitments, and delivery quality.
Changes are classified (clarification, in-scope refinement, new feature, Phase 2). Anything that impacts cost/timeline is made explicit before it’s added to a milestone or sprint.
Admins control “publish to client” operations. AI outputs are visible and persisted internally, but client-visible milestones, tickets, and updates are designed to be admin-controlled.
Project data stays inside your project record and is governed by role-based access (client vs admin). It is not reused across projects for model training.
Support tickets are linked to a project, with threaded messages and attachments. Admins can reply, close/reopen, and keep a clear post-delivery audit trail.