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MAXION Planner | Verified Transformation Architecture
MAXION
01Discover
02Planner
03Builder
Planner · Phase 02

Architecture from evidence.Verified before it reaches your team.

Plans built by people who weren’t in the room cause one-third of all IT project failures. Planner generates verified architecture plans directly from discovery evidence.

Request a Pilot →
✓ Discovery evidence flows in automatically·✓ HIPAA, SOX, GDPR, FedRAMP as hard constraints·✓ Two-pass verification before delivery
52%

Of IT projects suffer scope creep from incomplete discovery context

PMI Pulse 2018
189%

Average ERP budget overrun — traced to the gap between discovery and delivery

McKinsey-Oxford
67%

More likely to exceed budget with poor technical-to-business communication

PMI
The Structural Failure

The plan is built
by people who weren’t there.

The discovery team hands off a requirements document to a planning team who wasn’t in the room. The plan reflects assumptions, not what stakeholders actually need.

“37% of IT project failures attributed to unclear objectives/milestones — traced to planning without discovery context”
— industry research
“Only 16% of projects have all business stakeholders consistently involved through planning”
— PMI
“ERP implementations built from static requirements documents average 2.2× higher cost overruns than those built from live discovery evidence”
— McKinsey-Oxford
Traditional Planning Failure
1

Different team inherits discovery output they didn't create

2

Requirements interpreted without context of the original conversations

3

Compliance requirements treated as advisory guidelines, not hard constraints

4

Plan is a static document that becomes stale the moment it's delivered

5

Architecture decisions made without ability to probe stakeholder intent

How It Works

Four capabilities. One verified plan.

01
01Automated Extraction

Discovery becomes architecture input. Automatically.

Requirements, compliance constraints, and integration points flow from Discover automatically.

●

Every requirement decomposed into typed atoms — functional, compliance, performance

●

Each atom matched and verified independently

●

No re-keying, no lost context

Requirement Atom Example
Compliance Constraint
"All patient health information must be encrypted at rest and in transit with data residency restricted to US-based infrastructure."
HIPAA-PHI-encrypteddata-residency-USencryption-at-rest
02
02Exemplar-Matched Architecture

Grounded in what has actually worked at scale.

Architecture grounded in what has actually worked at scale.

●

500+ validated enterprise transformation exemplars

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Patterns matched to your specific requirements and constraints

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Covers SAP, Salesforce, ServiceNow, Azure, AWS, and Google Cloud

03
03Built-in Verification

Two-pass verification. Both must pass.

Two independent verification passes before any plan reaches your desk.

●

Pass 1: deterministic checks — compliance, capacity, NFR consistency

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Pass 2: semantic LLM validation for architectural coherence

●

Every issue logged with the requirement that was violated

SOX audit trail requirement \u2192 event store pattern \u2192 AES-256 encryption \u2192 7-year retention \u2192 \u2713 verified deterministically.
Hard Constraint Rejection
ARCHITECTURE DECISION
User PII stored in EU-West-1 region only. US access via read replica with no data egress.
Honest Escalation
PLANNING REQUEST
Generate architecture for real-time COBOL mainframe data replication to Snowflake with HIPAA PHI handling and <500ms latency.
04
04Interactive Refinement

The plan is a living artifact, not a static document.

Architecture plans are living artifacts connected to the evidence that produced them.

●

Adjust scope, timelines, risks, and architecture choices collaboratively

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Every change traced to its justification

●

Downstream dependencies update automatically

What You Get

Living plans.
Not static documents.

Every plan connected to the evidence that produced it. Every compliance requirement verified before delivery.

◈

Solution Architecture Document

Technology choices · Integration patterns · Data architecture · Security model · Compliance-verified

⬡

Implementation & Release Plan

Phased roadmap · Dependency sequencing · Resource allocation · Rollback scenarios

▣

Integration & Data Design Pack

API contracts · Data model · ETL/ELT specs · Compliance embedded in design

◎

Test & Validation Strategy

Coverage mapped to requirements · Acceptance criteria from stakeholders · Compliance tests included

⊞

Work Breakdown Structure

Task decomposition · Resource allocation · Duration estimates · Dependency mapping

△

Risk Register

Evidence-linked risk identification · Traced to discovery evidence · Mitigation strategies

Why This Matters

Generic AI hallucinates compliance.

Generic AI learns compliance from statistical patterns. APEX models HIPAA, SOX, GDPR, FedRAMP, PCI-DSS, and SOC 2 as deterministic rejection rules.

HIPAA PHI handling

Data residency, access control, audit logging, and encryption as explicit tags.

SOX audit trail

Immutable log requirements, access segregation, and retention periods verified deterministically.

GDPR data residency

EU processing constraints, right-to-erasure patterns, and cross-border restrictions as hard constraints.

HIPAASOXGDPRFedRAMPPCI-DSSSOC 2
Treated as hard constraints. Not advisory guidelines.
ITARCCPAISO 27001NIST 800-53
Verified plan flows directly into
03Builder
01Discover
98 requirements4 conflictsSOX + GDPR tags
context
flows →
02Planner
arch decisionverified plancompliance map
context
flows →
03Builder
execution contextcode scaffoldcompliance active

The same intelligence that verified the plan becomes the execution context in Builder. Developers inherit the full reasoning — not a document.

Explore Builder →

Stop building plans on assumptions.

Start with discovery evidence — verified for compliance, consistency, and completeness before it reaches your architects.