From description to deployed. Every step governed.
The person who knows the work has never had a direct, governed path to a production AI application.
Praxevo AI is that path — from the first description of a workflow to a deployed, administrable system
that never has to become legacy.
One platform. Three entry points.
01 · Domain Expert
The Expert Who Couldn't Build
Brings deep workflow knowledge — every edge case, every exception, every policy that matters.
Brings institutional knowledge of a legacy system the organization needs modernized.
Two deliverables. One project.
Each of them arrives with something the platform can work with.
What they get back is a governed path to production — that they own entirely.
Where every journey begins
Two intentions. One intake. Same platform.
New Product
Build something new
You know the workflow. You understand the policy. You've always needed someone else to build the system that runs it.
same intake
Legacy Modernization
Modernize what exists
You own the system. You understand it better than anyone. The organization needs it cloud-native and AI empowered — without a rewrite team.
Praxevo AI Platform
Describe. Classify. Build. Deploy.
Same intake. Same methodology. Same governed path to production.
Either way — you own what gets built.
The governed journey
Eight steps. One continuous platform.
01
Design Phase
Describe
The person who knows the workflow is in the room where the system gets specified.
Input your policies, procedures, and workflow in plain language. No config files. No boilerplate. The domain expert's knowledge becomes the foundation — directly, with no handoff.
02
Design Phase
Schematic
Every task itemized. Every dependency mapped. Before a line is written.
The platform breaks your workflow into discrete, buildable units — sequenced, dependency-ordered, ready for classification. The build plan doesn't emerge from a grooming meeting. It emerges from your workflow description.
03
Design Phase
Classify
Every task gets the right engine. AI where judgment and evidence narration is needed. Code where determinism is required.
Not every workflow step needs a language model. Not every step should be hardcoded. The platform classifies each task — cost-optimized, accuracy-optimized — before a single function is written.
Certified. Complete. The specification that drives everything downstream.
The certified blueprint is the locked artifact — signed off by the domain expert before a single story enters the build queue. Nothing gets built from ambiguity.
05
Design Phase
Build Plan
The blueprint doesn't hand off to a planning meeting. It becomes the plan.
Rules generated. Lookup tables built. Roadmap items created — sequenced, sized, dependency-ordered, ready. The entire build plan is a direct output of the blueprint. No backlog grooming. No translation loss.
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Auto-generated from certified blueprint
📋
Roadmap Items
Sequenced by dependency
Sized and estimated
Implementation instructions included
Ready for session planning
📐
Rules & Logic
Business rules documented
Decision trees generated
Lookup tables structured
Edge cases captured
🗺️
Architecture
Data model defined
API contracts specified
Component map ready
Test plan scaffolded
06
Design Phase
Design
No Figma. No handoff. No translation between what was designed and what gets built.
The Design Studio is built into the platform. Capture preferences, generate mockups, iterate with AI, certify the design — all before a component is written. Define your colors, fonts, and visual language. The certified design becomes the standard AI builds to — your brand, your style, expressed exactly as you intend.
07
Build Phase
Build
Governance at the speed of building. Not the speed of planning.
AI writes. You review and deploy. Every change governed and verified before it ships.
The Session Sherpa enforces a three-phase session model — Open, Working, Close — with 28 governance nodes running automatically. The session cannot end with a broken build or unverified deploy.
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AI Coding Governance
AI Without Governance Accelerates Risk.
Twenty named AI coding tendencies. Not outcomes — mechanisms. The root causes behind every bad AI coding result your team has already seen. Each one is controlled and mitigated in Praxevo.
Scope Blindness
AI edits what you showed it. Everything outside the frame is invisible.
Explanation Drift
AI describes what it intended. Not what it actually changed.
Unsolicited Improvement
AI noticed something adjacent and fixed it. You didn't ask. You don't know.
Confident Hallucination
AI constructs API calls from memory. Memory is approximate. Approximate is wrong.
Patch Accumulation
Each edit is locally correct. The file becomes globally incoherent.
Context Amnesia
Decisions made at turn 20 are invisible by turn 60. Same ground re-covered.
Silent Regression
The fix shipped. Something else broke. Nobody connected them until three sessions later.
Ghost Verification
AI approved its own work. That is not a review.
Irreversible Drift
A bad deploy is live. Recovery requires another risky change on top of the first.
Unauthorized Action
AI completed the logical next step. Production data changed. Nobody asked.
Phantom Tests
Tests pass. The functions they're testing don't exist in the live codebase.
Style Entropy
Every session adds code in a different pattern. The file works. Nobody can reason about it.
Invisible Debt
The file has been patched thirty times. There is no signal. There is no warning.
Stale Diagnosis
AI proposes a fix based on what the problem probably is. Not what evidence shows.
Dependency Blindness
Two sessions plan to touch the same file. The conflict surfaces mid-session.
Deferred Discipline
Tests, documentation, architecture notes — all reasonable to defer. None ever happen.
Production Contamination
Debug actions. Delete-all functions. Test endpoints. Still live. Still dangerous.
Ownership Vacuum
Work ships. The product owner never saw it. Accepted means nothing.
Version Divergence
Git shows one thing. The deployed system is something else.
Decision Decay
The reason a decision was made is gone. It gets re-litigated every session.
Every tendency above is controlled and mitigated in Praxevo.
Twenty of many more — documented across real sessions, real stories, real builds.
The governance doesn't run when someone remembers. It runs because the session can't proceed without it.
Fluid Methodology
Your Entire Methodology Stack. Running Silently. Every Session.
Twenty-eight capabilities. Three phases. Every one runs automatically — as a byproduct of building. No tools to configure. No meetings to schedule. No steps to remember.
Not a supplement to your existing SDLC tools and meetings. A replacement for every one of them.
Session Opens
Context Load
Complete project state pulled fresh. Framework, roadmap, decisions — all current.
Live Roadmap
Open items sequenced, sized, dependency-ordered before a line is written.
Package Delivery
Every file the session touches — live, complete, current — delivered to the AI.
File Health Check
Deploy count per file surfaced. Warning triggered before a file reaches crisis.
Test Baseline
Current passing count confirmed. Regression baseline set before work begins.
Architecture Map
Every significant decision ever made — available at session start. Nothing re-litigated.
Story Grouping
Related items flagged for single-rewrite treatment. No patch-on-patch accumulation.
Complexity Forecast
Full file surface across all in-scope items surfaced before commitment.
Conflict Detection
File ownership conflicts resolved at planning. Never discovered mid-session.
As You Build
Full File Delivery
AI receives the complete live file with every edit. Never a fragment.
Scope Declaration
Every edit declared before AI touches anything. Change boundary set in advance.
Diff Review Gate
Side-by-side view of every changed line. Deploy disabled until you confirm.
Schema Pre-fetch
Actual database structure fetched before any backend work begins.
Pre-Deploy Check
Eight automated checks before any code ships — permissions, configuration, banned actions.
Test Gate
Full suite must pass before deploy unlocks. Same session as the code. Never deferred.
Version Save
Current deployed file saved before new version goes live. Every prior state recoverable.
Click Gate
Every irreversible action behind an explicit human click. AI generates. You execute.
Deploy Verification
Live confirmation deploy worked. Actual response to AI before any diagnosis.
Session Closes
Change Manifest
Every file touched, function changed, test added — classified automatically.
Infra Delta Check
Deployment config updated against every infrastructure change. No drift.
Session Attestation
Formal record of what was built, verified, and deployed. Signed off before close.
Architecture Update
Significant decisions captured before close. Not reconstructed later.
Test Confirmation
Full suite re-run at close. New files verified against live code. Baseline updated.
Package Refresh
All context rebuilt with current code. Next session opens with live state.
Session Notes
Plain-English record of what was built. Permanent. Searchable. Institutional memory.
Stakeholder Broadcast
Non-technical digest of what shipped — auto-generated for the product owner.
Next Session Staged
Context doc generated at close. Next session opens fully briefed. Never from zero.
No Jira. No Confluence. No Figma. No sprints. No scrums. No audit scramble.
It's all in the platform. Running silently. Every session.
08
Deploy Phase
Deploy
Your infrastructure. Your code. Your data. No vendor lock-in.
Foundation setup runs four structured sessions that stand up a verified AWS stack before application code is written. A graduation gate blocks development until infrastructure is confirmed. What gets deployed is yours — your AWS account, your repository, your data. Administered by you, forever.
The platform never stops
Your solution never has to become legacy. The platform moves when you do.
New requirement? Design session — scope it, classify it, add it to the roadmap.
New workflow? Same intake. Same governed path. Same instant build plan.
The forge is always open. Every session compounds on the last.
Need a change? Design. Build. Deploy. Again.
No sprint to break. No backlog to negotiate. Pivot immediately.
The platform proves what it builds
The platform doesn't just build. It proves — continuously, from session one.
Documentation isn't a phase at the end. Compliance isn't assembled at audit time.
Stakeholder communication isn't a manual task.
Every one of them is a byproduct of how every session runs.
Continuous Documentation
Documented as you build. Done before you deploy.
The traditional model: build for six months, document for two — by which point half the decisions are forgotten.
Praxevo inverts this completely. Documentation is a byproduct of every session close.
By the time you deploy, nothing is left to write.
Architecture map updated before every session closes — not reconstructed later
Decision rationale captured at the moment of decision — never reverse-engineered
Session notes generated automatically — permanent, searchable, plain English
The transcript is the documentation — outlasts any developer
Institutional memory that compounds — every session builds on the last
By the time you deploy, the documentation is already done.
Assurance Cadence
Audit. Compliance. Proof. On a clock — not a calendar.
Every five sessions, a structured code health audit runs automatically — security review, dead code, dependency risks, banned patterns.
SOC 2 posture accumulates from session one.
Pen test capability runs on demand or on cadence. The platform proves what it built.
Code health audit every five sessions — security, dead code, dependency risks
SOC 2 evidence accumulates continuously — no audit scramble
Penetration testing — on demand or on cadence
Change manifest per session — every file touched, every function changed
Deploy verification logs — live proof every deploy worked
Infrastructure delta reports — configuration drift tracked every session
SOC 2 isn't a scramble. It's a byproduct.
Stakeholder Communication
Define your audience once. The platform handles the rest.
The Stakeholder Configuration page lets you define your audience roster and map each stakeholder type to the communications they receive.
Set it once. Every session the right artifact reaches the right person — automatically.
Business stakeholders — plain-English broadcast digest of what shipped