AI Consulting

AI that ships to production, with governance built in.

Readiness assessments, responsible AI governance, and production integration of LLM-based systems — grounded in your actual data and risk posture, not hype.

Overview

Past the pilot, into production

Most enterprise AI pilots never reach production because no one accounted for data governance, model risk, or integration cost. Waltmilton's AI Consulting practice starts with an honest readiness assessment of your data and use cases, then builds the governance framework and integration architecture needed to run AI systems safely at enterprise scale.

Capabilities

What's included

AI Readiness Assessment

Data quality, infrastructure, and use-case viability evaluation.

Responsible AI Governance

Risk classification, model documentation, and human-in-the-loop controls.

LLM Integration

Production integration of LLM-based systems into existing applications and workflows.

RAG & Knowledge Systems

Retrieval-augmented generation architecture grounded in your proprietary data.

AI Vendor Evaluation

Independent evaluation framework for selecting models and platform vendors.

Data Pipeline Modernization

Preparing data infrastructure to support AI workloads reliably.

Model Risk & Compliance

Alignment with emerging AI regulation and internal risk frameworks.

Change Management & Training

Workforce enablement so AI tools are actually adopted, not shelved.

Benefits

Why this avoids the pilot graveyard

  • Honest readiness assessment — we'll tell you if a use case isn't ready, not just sell the project.
  • Governance framework that satisfies legal and risk teams before launch, not after an incident.
  • Integration architecture designed for your actual data security requirements.
  • No vendor lock-in bias — model and platform recommendations are evaluated independently.

Our Process

From assessment to governed production

  1. 01

    Assess

    Use case prioritization and data/infrastructure readiness review.

  2. 02

    Govern

    Risk classification, policy, and human-oversight framework design.

  3. 03

    Build

    Production integration with security and monitoring built in.

  4. 04

    Scale

    Performance monitoring, retraining cadence, and workforce enablement.

Deliverables

What you receive

  • AI readiness assessment with prioritized use-case roadmap
  • Responsible AI governance policy and risk framework
  • Production-ready integration architecture
  • Workforce training and adoption plan

Technology Stack

Tooling we deploy and manage

Claude / Anthropic API Azure OpenAI LangChain Pinecone / Vector DBs Databricks Microsoft Purview AWS Bedrock NestJS / Node.js

Industries

Where we operate

Financial Services
Healthcare
Professional Services
Government & Public Sector

Pricing

Transparent engagement tiers

Readiness Assessment

From $18,000

Use-case prioritization and data/infrastructure readiness review.

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Most Popular

Production Integration

From $50,000

Governance framework plus a production-ready AI integration build.

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AI Program Advisory

Custom

Ongoing governance, vendor evaluation, and scaling support.

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Case Studies

Proof, not promises

Professional Services

Law firm cuts document review time 40% with governed RAG system

Built a retrieval-augmented system grounded in firm precedent with full audit logging and human review gates.

Financial Services

Regional bank establishes AI governance ahead of board mandate

Delivered a risk classification framework and policy suite satisfying both legal and regulatory review.

FAQ

Common questions