Decision traces
Every exception, approval, escalation, override, and precedent becomes durable context instead of disappearing into Slack, calls, or someone’s head.
AI-native servicesfor shipping real software.
Mach122 replaces costly SaaS, brittle internal tools, and product delivery stress with bespoke, AI-native software. We scope the work, agree the specs, build with agents, handle implementation, and deliver outcomes.
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
Built for operators and enterprise teams with fragmented tools and work that still needs to get done
From copilot to autopilot
Sell the work.Not another tool.
The real bottleneck is not model access. It is legacy tech stacks, fragmented tools, uncaptured knowledge, product ambiguity, and change management. Mach122 starts where the scope is clear, the deadline matters, and the buyer wants an outcome.
Workflow memory
Your systems record state.Mach122 records why.
CRM records the final discount. ERP records the invoice. Git records the code. Slack records fragments of the conversation. None of them preserve the full decision. Mach122 captures that decision trace while the workflow runs.
Cross-system context
A real enterprise decision may need CRM data, support tickets, usage metrics, policy docs, approvals, and legacy system state in one place.
Customer-owned memory
Mach122 builds the workflow and captures the trace, but the accumulated context remains your strategic asset, not another vendor silo.
Compounding autonomy
Human review teaches the system. As similar cases repeat, the context graph makes more of the path safe to automate.
Agentic delivery
From scoping to specs,then shipped work.
Most AI code fails because the agent is context-starved. Mach122 turns messy operating context into a delivery flow: scoping, PRDs, acceptance criteria, work orders, QA, release notes, and migration.
Explore Delivery OS"Agents are powerful, but enterprise workflows are dark and narrow alleyways. We map the alleyways before we automate them."
Mach122Delivery principle
Scope → Specs → Work orders
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
Composable stack
Bespoke software,assembled around your flow.
Mach122 ships from a composable enterprise layer: auth, RBAC, workflow builders, approvals, dashboards, integrations, audit logs, and agent workers. We customize the business logic and keep the foundations proven.
Explore composable modules"Build versus buy was never as simple as it sounded. The new way is to focus on the business logic and create something bespoke."
Mach122Software Factory principle
Composable modules
Composable workflow stack
Standard foundations assembled around one exact business workflow.
Core enterprise modules
Custom business logic layer
Lower maintenance through composition
"For every dollar spent on software, the bigger prize is often the work around it. Mach122 is built for that budget."
Thesis 01Services are the new software
"When software gets dramatically cheaper, every one-off integration, workflow, and service line becomes worth building."
Thesis 02The software development module
Context Graph
Decision traces,not just data.
Agents do not just need access to your systems. They need the decision traces that explain how work actually happens: which rule applied, which exception was granted, who approved it, what precedent mattered, and what state changed.
Explore Context Graph"Rules tell an agent what should happen in general. Decision traces show what happened in this specific case."
Mach122Context Graph principle
Decision traces → Context Graph → Autonomy
Decision trace volume
Top workflow topics
- Renewal discount exception35
- Vendor approval threshold29
- Contract handoff precedent23
- Access escalation path17
Decision log
| Workflow | Decision | Review gate |
|---|---|---|
| Renewals | Discount exception approved after service-impact precedent | Finance |
| Procurement | Vendor threshold exceeded and routed to VP approval | Ops |
| Access ops | Escalation path updated after policy exception review | Security |
Context Graph workbench
decision_trace: renewal_discount_exception
entities:
account: acme_enterprise
renewal: fy26
policy: discount_policy_v3_2
inputs:
- crm: enterprise_arr
- slack: vp_approval_thread
human_gate: financeLegacy SaaS replacement
Replace the renewal,keep the workflow.
The software was never the point. The approvals, handoffs, audit trail, and edge cases were. Mach122 maps the operating logic, rebuilds the flow as bespoke software, and stays close through cutover.
Map a replacement"The job is not to rip out software. It is to preserve the work and remove the rent."
Mach122Replacement thesis
Map → Rebuild → Cutover
Slack
J
Jules
@Mach122 can you turn our renewal SOPs and approval edge cases into a cutover plan?
We mapped the approvals, sequenced the cutover, and left go-live coverage open so migration stops stealing operator time.
We stay close through cutover week so migration is not the fire your team manages.
Workflow replacement
Which approvals, exceptions, and handoffs have to survive the migration?
Updated after operator reviewAdd another cutover risk...
Where the work starts
Start with the wedge.Expand to the system.
The best first workflows have five traits: urgent budget, high repetition, clear output, visible ROI, and enough structure that customers can trust the result fast.
Ship the workflow without stalling the team.
Mach122 scopes the rollout, owns the migration plan, and stays close through cutover so operations do not turn into another fire drill.
See enterprise deliveryReplace the tool that no longer fits.
Rebuild expensive seat-based SaaS around your exact workflow: approvals, handoffs, audit trails, dashboards, and integrations.
Read playbookGive us the workflow and we’ll run it.
Submission intake, finance close, contract review, and document-heavy operations where AI can read, apply rules, take action, and escalate exceptions.
See workflowsYour IT runs as an outcome.
Provisioning, monitoring, support tickets, and access workflows become managed autopilots instead of another queue your team has to babysit.
Explore IT servicesOutcomes > seatsAutopilot > copilotWork budget > tool budget
Built like services. Compounds like software.
The more workflow we own, the more examples we collect of what good looks like. Today's judgement becomes tomorrow's intelligence.
"The customer does not need another AI feature. They need the product shipped, the workflow run, and the legacy system replaced."Operating thesis
Shared contextacross the messy stack.
Enterprise context is heterogeneous. Mach122 connects to the systems where work already happens, captures decision traces at execution time, and writes final state back to the systems of record.
Start here
Pick one workflow.Reach escape velocity.
Bring the workflow you already outsource, the SaaS flow you want to replace, or the internal process your team cannot keep running by hand. Mach122 will map the work, define the outcome, document the business logic, and scope the first AI-native build.
Not sure where to begin?
Start with your maintenance line item, services spend, painful SaaS renewal, or overloaded ops queue. We will help compare the current path with an AI-native build.
See pricingFAQ
Clear answersbefore we start.
What is Mach122?
Mach122 is an AI-native software services company. We build, migrate, and run bespoke software using agents, composable modules, and human-in-the-loop delivery.
How is this different from an AI copilot?
A copilot sells the tool. Mach122 sells the work. We scope the workflow, agree the specs, build the system, integrate it, migrate users, and operate the improvement loop.
How is this different from traditional consulting or system integration?
Traditional services usually add people around existing SaaS. Mach122 rebuilds the workflow with AI-native delivery, reusable modules, and a context graph that compounds.
What workflows should enterprises start with?
Start where the work is already outsourced, repetitive, document-heavy, rules-heavy, and tied to a clear business outcome: vendor onboarding, approvals, finance ops, IT support, and legacy internal tools.
Can Mach122 work alongside internal IT and engineering teams?
Yes. We work best when your internal team owns the business context and approvals while Mach122 owns the workflow scope, build, migration, and operating layer.
Can Mach122 replace expensive SaaS?
Yes. Many SaaS tools force you to pay for everyone else’s edge cases. Mach122 rebuilds the workflow around your exact business logic, using composable modules for the standard parts.
Do we need to reorganize around AI first?
No. Most companies should not turn themselves into permanently self-reorganizing AI-native software companies. Mach122 absorbs the tooling churn behind a stable interface.
Where do humans stay in the loop?
Humans stay where trust, judgement, escalation, compliance, change management, and taste matter. Agents do the intelligence-heavy work; experts verify, decide, and improve the system.
How do you prevent agentic drift?
We link requirements, blueprints, work orders, code, tests, decision traces, and review gates. When implementation drifts, humans can see what changed and decide which source of truth wins.
Who owns the Context Graph?
You do. Mach122 builds and runs the workflow, but the accumulated context is your strategic asset. The goal is durable institutional memory, not another vendor silo.