5,000–$40,000 for multi-system implementations, and $40,000+ for ongoing strategic partnerships. Enterprise consultancies (Accenture, Deloitte) start around $250K. HDM specializes in the SMB band where you get a working system, not a transformation roadmap.
Practical, deployable AI today includes: 24/7 customer chatbots with real knowledge of your business, lead qualification and meeting booking, email triage and response drafting, document summarization, internal knowledge search, content drafting (blogs, emails, product descriptions), workflow automation across CRM/email/billing, and predictive analytics on your customer data. Each of these can ship in 2–8 weeks.
Use ChatGPT (GPT-5/GPT-5.2) for general business work, coding, and image generation. Use Claude (Sonnet/Opus) for long-document analysis, careful tone, and writing-heavy work. Use Gemini for Google Workspace integration and large-context multimodal tasks. Most SMBs end up using two of the three. HDM's AI strategy work always starts with picking the right model for each task — not standardizing on one.
A focused chatbot or single workflow automation: 2–4 weeks. Multi-system integration (CRM + email + knowledge base): 6–12 weeks. Custom AI agents that take real actions: 8–20 weeks. The biggest variable isn't the AI — it's getting access to clean data and decision-makers who can approve scope.
For SMBs, AI typically eliminates the worst 20% of work — repetitive lookups, drafting, scheduling, basic support — not the people. Most HDM clients use AI to grow capacity without adding headcount, or to give existing staff 5–15 hours back per week for higher-value work. The companies replacing roles wholesale are usually ones with 50+ people in identical seat-based jobs.
Depends on the tool and how it's configured. ChatGPT Team/Enterprise, Claude for Work, and Google Workspace AI all guarantee your data isn't used for training. Free consumer tools do not. For HIPAA, attorney-client privilege, or financial compliance, you need additional contractual and technical controls — HDM scopes data residency, retention, and access for every client engagement.
Realistic ROI for well-scoped SMB AI projects: 10–40 hours/month saved per impacted role, 15–35% lift in qualified lead volume from chatbots, 20–60% reduction in tier-1 support tickets. Payback periods are typically 3–9 months for $5K–$25K projects. Projects that fail usually skip discovery and try to AI-ify everything at once.
Three filters: (1) Ask to see a working system they've shipped, not a deck — the URL, the workflow, the measurable outcome. (2) Ask which models they recommended NOT to use for a recent project and why; generalists can articulate trade-offs. (3) Verify they don't resell a single platform; tool-agnostic consultants pick what fits, captive resellers pick what pays them.
Yes. The big consulting firms aren't doing anything technically impossible — they're packaging publicly available tools (OpenAI API, Claude API, n8n, Zapier, custom code) for enterprise budgets. HDM ships the same technical capability with better access and faster turnaround for businesses in the M– 00M revenue band. Local matters when you want a partner who shows up, not a Slack channel with 12 strangers.
Pick one repetitive workflow that consumes 5+ hours per week across your team. Document the inputs, the steps, and the outputs. That single workflow is your first AI project — small enough to ship in 30 days, real enough to prove value. HDM offers a free 30-minute AI discovery call to scope this exact thing: hello@hdmcincy.com.
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