Scoping
Turn messy source material into structured requirements faster.
Agentic delivery
Use agents acrossthe whole lifecycle.
Agentic delivery applies AI to the work around software too: scoping, documentation, QA, migration, and operating coverage, not just code generation.
Where agents help
Beyond the IDE.Into the workflow.
The biggest gains are often in the work around engineering, where context is fragmented and repetition is high.
Implementation
Use agents to draft, refactor, document, and fill in the repeat work.
QA and docs
Generate tests, release notes, migration plans, and operator documentation in parallel.
Workflow operations
Run the shipped system with triage, summarization, routing, and exception handling.
Agentic by design
Use AI wherethe work actually is.
The model is not a magical coder in a vacuum. It is an engine that can move useful work across the full delivery chain when the context is good enough.
Get started"Most teams only apply AI to the narrowest part of the problem. Agentic delivery uses it across the whole chain where the drag actually sits."
Mach122Delivery model
Scope → Build → QA → Operate
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
Where humans stay
Speed does not removejudgement.
AI-native delivery works because the team is explicit about where humans still make the real calls.
Architecture
Humans decide the shape of the system and the trade-offs worth making.
Policy and compliance
Humans own the boundaries that cannot be delegated to guesswork.
Release readiness
Humans decide when the system is trustworthy enough to put in front of real users.
Want the full model
Use agents broadly.Keep control tightly.
Agentic delivery is the right fit when the team wants real speed gains, not a thin AI layer bolted on top of the old process.
Best fit
Software work with lots of context, lots of repetition, and too much expensive human time trapped in translation.