Engineering Transition Layer

Turn engineering bottlenecks into agentic delivery workflows.

Most teams buy AI access and still ship through the same slow handoffs. We connect Codex, GitHub, Slack, and your standards into governed workflows that reduce engineering drag.

Measure the maturity, then deploy the first workflow that changes delivery.

You Already Pay for OpenAI.
You're Using 5% of It.

We turn the OpenAI line on your P&L into the operating layer underneath every department—moving past unused custom GPTs into real organizational transformation.

The OpenAI Subscription

ChatGPT Business seat per person
Custom GPTs
Codex available
Connectors enabled
ROI conversation

Your Reality Today

Used as a smarter Google
Built once, used twice, forgotten
Sits unused or used by one engineer
Half-configured
"We pay for it because it's table stakes"

The Singular Deployment

Codex + Workspace Agents wired into actual workflows
Workspace Agents that take action, not just answer
Shipping PRs, closing tickets, reviewing every commit
Governed, audited, scoped to least privilege
Quarterly KPI report with measured time saved

OpenAI ships world-class technology. The reason it doesn't compound is that nobody operationalizes it inside a company. That is the entire job we do.

Concrete Workflows. Real Outcomes.

These are workflows we deploy. Each one shows what's possible when Codex, Workspace Agents, Skills, and Connectors meet your real business logic.

Stage 2

GitHub -> workflow specific

Always-On PR Reviewer

Primary value

Cycle time drops 40%.

Stage 4

Linear or Jira -> cross-functional

An Agent Per Ticket — Symphony Pattern

Primary value

5x more landed PRs in three weeks.

Stage 3

Monorepo -> departmental operations

Repo-Scale Refactor Squad

Primary value

Quarter-long migrations finish in a week.

Stage 2

Your entire codebase -> workflow specific

Codebase Onboarding Coach

Primary value

New hires productive in 2 weeks instead of 8.

Stage 4

Sentry -> cross-functional

Incident → Fix Branch

Primary value

Time-to-diagnose drops from hours to minutes.

Stage 3

Notion or Linear specs -> departmental operations

Spec-to-Prototype

Primary value

Design hand-off becomes a deployable PR with one prompt.

An Agent Per Ticket.
The Backlog Closes Itself.

OpenAI's own engineers faced the same ceiling yours do — 3 to 5 concurrent AI sessions before context-switching ate the gains. Their solution, called Symphony, is an open-source spec that breaks the ceiling: every ticket gets its own dedicated agent, every PR gets shepherded to merge. Internal teams reported 5× more landed PRs in three weeks. We deploy that pattern into your stack.

5×

more landed PRs in 3 weeks

(OpenAI internal teams)

3–5

Previous ceiling of concurrent AI sessions per dev

∞

Symphony removes the ceiling by decoupling agents from the IDE

The Pattern, In Plain English

A ticket lands.

Agent spins up with full repo context.

Agent works.

Writes code, runs CI, and ships a PR.

You review & merge.

Manage work, not agents.

"Symphony is OpenAI's open-source reference spec, released April 2026 under Apache 2.0. Singular deploys, customizes, and operationalizes Symphony-pattern orchestration inside your environment."

Choose the Codex operating model we deploy first.

Codex, Workspace Agents, and ChatGPT Business stay inside your OpenAI environment. Singular's work is orchestration, AGENTS.md authoring, Workspace Agent skills, and change management. We scope around durable workflows, not seat math.