Platform

The delivery systemfor AI-native services.

Mach122 combines scoping, context capture, reusable modules, validation, and human review into one operating system for software work that has to ship.

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Platform overview

Four layers.One delivery system.

The platform is built to keep scope, decisions, modules, and release discipline attached to the work from start to finish.

Core system

Delivery OS

Turn a founder brief or enterprise mess into scoped specs, work orders, QA, release, and operating coverage.

Open Delivery OS
Memory layer

Context Graph

Capture the approvals, precedents, exceptions, and business logic behind the workflow while the work moves.

See Context Graph
Build layer

Composable Stack

Reuse the standard parts of enterprise software without forcing the buyer back into a generic product.

See Composable Stack
Control layer

Validator

Trace requirements to code, tests, review, and release so the system stays faithful as agents move quickly.

See Validator

Agentic delivery

Move from brief to buildwithout losing the thread.

Use AI across scoping, implementation, QA, migration, and documentation, while keeping the real source of truth visible enough for humans to intervene.

See agentic delivery

"The point is not to add more AI. The point is to make software work legible enough that AI can help without the team losing control."

Mach122Platform thesis
Brief → Scope → Build → Release
Agentic delivery
Agent

Replace our renewal workflow: CRM to approval to contract to invoice to handoff.

workflow: enterprise_renewals

systems: crm, billing, docs, slack

constraints: audit_trail, role_based_approval

target: production_ready bespoke workflow

What changed?

Three disconnected tools become one bespoke workflow.

  • Business rules captured from docs, calls, and code
  • Work orders generated with full traceability
  • Human judgement preserved where trust matters

What changes

Less tool drift.More shipped work.

The platform is opinionated about where speed belongs and where control still matters.

What changes

Scoping to specs

Cut ambiguity early so engineering time is spent on the real deliverable, not on interpreting half-written requirements.

Open scoping
What changes

Legacy rewrite

Replace brittle systems in slices that preserve the workflow instead of chasing a big-bang rewrite.

Open rewrite
What changes

Workflow operations

Keep an operating layer after launch so issues, exceptions, and improvement do not disappear into a services void.

Open operations

Start with one workflow

Bring the mess.We’ll make it buildable.

The best first project is the workflow that already hurts: too much coordination, too many tools, too much context trapped in people’s heads.

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Good first candidates

Renewals, approvals, onboarding, support operations, finance workflows, and internal tools with real operator pain.