DM Advisory Group

Artificial Intelligence

Pragmatic AI to augment teams, improve decisions, and automate work—grounded in data, governance, and measurable results.

AI is most valuable when it’s applied to real processes with real data. The goal isn’t novelty—it’s throughput, quality, and better decisions. We focus on scoped pilots that earn trust quickly, then scale with an operating model that’s safe and sustainable.

What we deliver

Outcomes-first AI: from opportunity mapping to secure deployment and ongoing value tracking.

Opportunity & Roadmap

Identify high-ROI use cases, success metrics, and a staged plan to de-risk adoption.

Data & Integration

Connect systems and establish secure data access, retrieval-augmented generation (RAG), and observability.

Assistive tools & Copilots

Task-level copilots, chat over knowledge bases, content drafting, and decision support.

Responsible AI & Governance

Policies, privacy, security, human-in-the-loop, evaluation, and change management.

Platforms we support

Select the right stack for your security model, integrations, and scale.

Azure OpenAI / Microsoft Copilot Studio
OpenAI API (GPT-4 class) with enterprise controls
AWS Bedrock (Anthropic, Cohere, etc.)
Google Vertex AI
LangChain / LlamaIndex for orchestration
Vector search: pgvector, Pinecone, Azure AI Search

Pragmatic use cases

Targeted improvements that compound value over time.

Sales & service copilots

Draft emails, summarize cases, next-best-action with CRM context.

Knowledge assistant

Chat over policies, SOPs, and contracts with citations and guardrails.

Back-office acceleration

AP/AR document extraction, reconciliation, and exception routing.

Analytics & insights

Natural-language questions over trusted data with governed access.

Risk & compliance

PII detection/redaction, policy checks, and audit-ready trails.

IT & operations

Ticket summarization, runbook copilots, and incident postmortems.

Operating model

Intake, evaluation, human-in-the-loop, change control, and model lifecycle management—so AI becomes a product, not a project.

Evaluation & value tracking

Quality metrics (accuracy, grounding), risk checks, and business KPIs (time saved, cycle time, CSAT) visible on a dashboard.

Security & responsibility

Privacy, consent, data boundaries, prompt injection defense, logging, and safe fallbacks.

We start small, measure, and scale deliberately—so results are explainable, secure, and maintainable.

Start your AI transformation journey

Align goals, identify quick wins, and map a pragmatic AI plan.