Envion Software
Knowledge Hub

Field guides for shipping AI that survives production

20 practical resources from Envion Software's delivery teams — readiness blueprints, build-vs-buy frameworks, governance checklists, and industry playbooks. Free to download, built from real engagements.

Guides & blueprints
6
Decision tools
4
Checklists
4
Playbooks
6

Showing 20 of 20 resources

AI Pilots Are Easy. Production Value Is Not. — cover
Point of view
Strategy & planning

AI Pilots Are Easy. Production Value Is Not.

An AI readiness blueprint for SaaS and product companies

19 pages January 2026
AI Readiness Self-Assessment — cover
Assessment workbook
Data & readiness

AI Readiness Self-Assessment

A seven-domain scorecard and 90-day action planner

12 pages January 2026
Which AI Use Case Should You Build First? — cover
Decision guide
Strategy & planning

Which AI Use Case Should You Build First?

A value, data, feasibility, risk, and speed-to-learning framework

12 pages February 2026
How to Build an AI MVP in 30 Days — cover
Rapid MVP guide
Strategy & planning

How to Build an AI MVP in 30 Days

Scope, team, timeline, decision gates, and deliverables

12 pages February 2026
Build, Buy, or Integrate AI? — cover
Decision guide
Strategy & planning

Build, Buy, or Integrate AI?

A decision framework for SaaS and product teams

12 pages March 2026
The Demo Worked. Will the Product Survive Reality? — cover
Field guide
Delivery & reliability

The Demo Worked. Will the Product Survive Reality?

The AI Failure Test field guide

12 pages March 2026
LLM Security Checklist for Product Teams — cover
Security checklist
Security & governance

LLM Security Checklist for Product Teams

Prompt injection, data leakage, misuse, edge cases, and access control

12 pages April 2026
How to Add AI to an Existing SaaS or Mobile Product — cover
Implementation guide
Delivery & reliability

How to Add AI to an Existing SaaS or Mobile Product

Architecture, integration, data, UX, and rollout

12 pages April 2026
Is Your Data Ready for AI? — cover
Data assessment
Data & readiness

Is Your Data Ready for AI?

A practical checklist for availability, quality, rights, provenance, ownership, and representativeness

12 pages May 2026
AI Governance Starter Kit for Growing Product Companies — cover
Starter kit
Security & governance

AI Governance Starter Kit for Growing Product Companies

Roles, approval gates, human oversight, incident management, policies, and an AI system register

12 pages May 2026
How to Evaluate and Monitor an AI Product — cover
Evaluation guide
Delivery & reliability

How to Evaluate and Monitor an AI Product

Quality, hallucinations, relevance, latency, cost, drift, feedback, and release criteria

12 pages June 2026
AI Vendor Evaluation Scorecard — cover
Procurement scorecard
Teams & vendors

AI Vendor Evaluation Scorecard

Compare models and vendors across quality, privacy, security, integration, pricing, portability, and support

12 pages June 2026
How to Build an AI Product Team — cover
Team design guide
Teams & vendors

How to Build an AI Product Team

In-house hiring, staff augmentation, dedicated teams, and blended multidisciplinary delivery

12 pages July 2026
AI Development Cost and Delivery Planner — cover
Planning guide
Strategy & planning

AI Development Cost and Delivery Planner

Scope drivers, timelines, $80 hourly work, blended team rates, fixed-price small projects, and Rapid MVP delivery

12 pages July 2026
AI Readiness for Healthcare SaaS — cover
Industry playbook
Healthcare

AI Readiness for Healthcare SaaS

Workflow fit, sensitive data, safety, human oversight, integration, and monitoring

12 pages August 2026
Building Reliable AI Features for Fintech Products — cover
Industry playbook
Fintech

Building Reliable AI Features for Fintech Products

Model risk, explainability, privacy, approvals, auditability, and continuous monitoring

12 pages August 2026
AI in LegalTech: Accuracy Is Not Enough — cover
Industry playbook
LegalTech

AI in LegalTech: Accuracy Is Not Enough

Confidentiality, provenance, citations, hallucinations, human review, and professional responsibility

12 pages August 2026
AI in Logistics: From Fragmented Operations to Reliable Automation — cover
Industry playbook
Logistics

AI in Logistics: From Fragmented Operations to Reliable Automation

Data visibility, forecasting, exception handling, document automation, and system integration

12 pages September 2026
Making Construction Data Ready for AI — cover
Industry playbook
Construction

Making Construction Data Ready for AI

Project documents, field data, search, estimation, risk detection, and workflow adoption

12 pages September 2026
From Prototype to Production: Scaling an AI-Native Product Without Scaling Failure — cover
Startup playbook
Delivery & reliability

From Prototype to Production: Scaling an AI-Native Product Without Scaling Failure

Evaluation, architecture, reliability, cost control, observability, safety, and team capacity

12 pages September 2026
Need more than a guide?

Get a read on your specific AI initiative

These resources come from real delivery work. If you'd rather talk through your situation, our team will give you an honest assessment — including when the answer is "don't build it yet."

Talk to our team