The AI-native SDLC

The AI Software Delivery Platform

One platform for the whole software delivery lifecycle: idea → requirements → design → user stories → code on pull requests → tested release. Sixteen specialised AI agents do the work; four approval gates keep you in charge.

Founding offer 50% off your first 3 months — ends 31 October 2026

Idea to pull request in one flow 16 specialised AI agents 4 human approval gates GitHub & Jira native

The delivery pipeline, end to end

Step 01

Plan

Brainstorm with AI, lock scope, and generate a structured BRD plus design mockups — every stakeholder sees the same picture before work starts.

Step 02

Backlog

Epics and user stories with acceptance criteria and dependencies, approved by you and pushed to Jira where your team already works.

Step 03

Build

Developer agents implement stories on feature branches; a validator runs the build and tests; green branches become pull requests with test summaries.

Step 04

Ship & heal

CI results sync back, red builds get triaged and fixed by agents, merged work updates Jira, and release documentation is generated when the last story lands.

Why a platform beats a pile of AI tools

Copilots accelerate typing. A delivery platform carries context from the first idea to the merged PR — so each stage feeds the next instead of starting from zero.

Context flows downstream

The BRD informs the design; the design shapes the stories; the stories drive the code. No re-explaining your product at every step.

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Control built in

Approval gates at requirements, BRD, design, and backlog. Code arrives only as pull requests — your main branch is untouchable by design.

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Specialised agents, not one bot

Planner, product manager, designer, tech lead, developer, QA, CI triage, DevOps and more — each with a narrow job and structured hand-offs.

Self-healing delivery

Failed builds, red CI, and merge conflicts are detected and repaired by agents — with plain-language decision cards when a human call is needed.

Your tools, not ours

GitHub for code and pull requests, Jira for the backlog, your CI for the truth. Slack and Teams notifications keep the team in the loop.

£

Priced for teams, not enterprises

From £29/month with a 14-day free trial. Usage-based credits mean you pay for delivery, not seats you don’t use.

The real value of enterprise AI comes when it can understand context, interact with systems and take meaningful action. VrittOS is moving in exactly that direction. Its approach to combining AI agents with structured workflows provides an interesting foundation for applying agentic AI to complex, real-world business processes.

Anil Sharma

AI Consultant & Product Analyst

Common Questions

What is an AI software delivery platform?

A platform that uses AI agents across the whole software delivery lifecycle — planning, requirements, design, backlog, code, tests, and release — rather than assisting one activity. VrittOS carries context between stages and keeps humans approving each gate.

How is this different from a coding copilot?

A copilot helps a developer type faster inside an editor. VrittOS operates the delivery process itself: it turns ideas into requirements, backlogs, and reviewable pull requests with tests — with your approvals in between.

Does it replace our existing tools?

No — it drives them. Code lives in your GitHub, the backlog syncs to your Jira, your CI stays the source of truth, and notifications land in Slack or Teams.

How do teams stay in control?

Four approval gates (requirements, BRD, design, backlog), pull-request-only code delivery, test results on every PR, and a full audit trail of what each agent did.

AI-Native. Human-Approved.
Production-Ready.

A team of specialised AI agents runs your delivery pipeline — you keep every decision that matters.

16
Specialised AI agents
Hours
From idea to first PR
4
Human approval gates
£29
Plans from, per month

Ready to transform your software delivery?

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