Services

AI strategy and implementation

Move from AI uncertainty to governed production systems. Engagements can begin with strategy, architecture, or implementation—whatever phase you're in.

How We Work

Engagement types

Each engagement type answers a different set of questions. You don't need to know which one you need—that's what the first conversation is for.

01

AI Strategy & Roadmap

For leaders who need a defensible plan

We'll work with your team to understand current operations, identify AI-shaped problems, and build a prioritized roadmap that accounts for compliance, cost, and organizational readiness.

Deliverables

  • Use-case inventory and prioritization
  • Budget and cost assumptions
  • Risk and compliance map
  • 90-day and 6-month roadmap

Questions answered

  • Where should we start?
  • What should we avoid?
  • How much should we spend?
  • What can wait?

02

Architecture & Vendor Evaluation

For teams choosing between build, buy, or vendor

We'll map your current and proposed stacks against the Eight Words framework, evaluate vendor proposals, and identify hidden costs, lock-in risks, and black boxes before you commit.

Deliverables

  • Eight Words stack mapping
  • Vendor layer analysis
  • Build/buy/configure recommendations
  • Cost and lock-in analysis

Questions answered

  • What kind of vendor is this really?
  • Where is the black box?
  • What will be expensive to change?
  • Should we build or buy?

03

Governed AI Implementation

For teams ready to build

We'll build or co-build production systems with proper gateways, knowledge retrieval, tool integrations, and human-in-the-loop design. Full hands-on engineering—not advisory-only.

Deliverables

  • Prototype or production system
  • Model routing and gateway setup
  • Knowledge retrieval configuration
  • EHR/CRM/workflow integrations
  • Logging, monitoring, evaluation

Questions answered

  • How do we put this into production safely?
  • How do we integrate with our systems?
  • Where do humans stay in the loop?
  • How do we monitor and improve?

04

Compliance & Governance Design

For regulated AI concerns

We'll design AI governance as architecture, not just policy. PHI handling, audit trails, guardrails, and acceptable use frameworks that satisfy legal, security, and operational requirements.

Deliverables

  • AI acceptable-use policies
  • PHI boundary mapping
  • Audit and logging architecture
  • Guardrail and review design

Questions answered

  • Where can PHI go?
  • How do we evaluate outputs?
  • How do we prove responsible operation?
  • What do auditors need to see?

Process

How engagements typically flow

Not every engagement follows every step. We adapt to where you are.

1

Discovery conversation

We listen more than talk. Understanding your operations, constraints, and what success looks like.

2

Current-state mapping

We map your existing systems, data flows, and workflows against the Eight Words framework.

3

Opportunity & risk prioritization

We identify what's ready for AI, what needs groundwork first, and where the hidden risks are.

4

Roadmap or implementation plan

Depending on what you need: a strategic roadmap, an architecture design, or a build plan.

5

Build, pilot, or production

Full hands-on implementation when the plan is clear and the organization is ready.

6

Measure and iterate

Evaluation, monitoring, feedback loops, and continuous improvement of the system.

Getting Started

What contacting us looks like

What to bring

  • A workflow you want to improve
  • A vendor or product you're evaluating
  • A question about cost, compliance, or roadmap
  • A stalled AI pilot that needs fresh eyes

What happens next

  • 1.30-minute conversation. No hard sell. We listen and ask questions.
  • 2.We map the question. Strategy, architecture, or implementation?
  • 3.Clear next step. Scoped assessment, roadmap, or build conversation.

Who should reach out

CIO/CTO/COO, product/engineering leaders, and compliance and security leaders in regulated or complex-operations industries — healthcare is NovaBlue's current leading example — evaluating AI deployment, or anyone with an AI decision they're trying to make.

Bring us the AI decision you're trying to make

We'll help you see the parts clearly and identify the right next step.

Start a conversation