AI Consulting in Detroit

Yes — and the integration approach depends on which system is the record of truth and what the workflow actually needs to move. For SAP environments, we typically use the REST APIs or RFC connectors available in S/4HANA to pull purchase orders, delivery schedules, and acknowledgment status without touching production config. Plex exposes a well-documented REST API that makes supplier-facing builds straightforward — schedule sync, capacity acknowledgment, and exception flagging are all workable. QAD is older architecture and usually requires SOAP or flat-file exchange depending on the version, which means the build leans on scheduled polling rather than real-time events. The audit is where we map which systems each supplier tier is actually running, because mixed-ERP environments are the norm in Southeast Michigan — not the exception. We scope builds around the lowest-common-denominator data exchange that gets the right signal to the right people without requiring every supplier to change their stack.

HIPAA compliance is a precondition, not a feature we add at the end. Every healthcare engagement starts with a Business Associate Agreement signed before any system access is scoped. For model hosting, we route Protected Health Information only through enterprise API endpoints that offer zero-retention, no-training contractual terms — typically Azure OpenAI or Anthropic's enterprise tier — and we get the BAA signed with the provider before data touches the model. On the infrastructure side, PHI stays inside HIPAA-eligible hosting environments; we don't pipe patient data through general-purpose SaaS tools that lack covered-entity agreements. Audit logging is built in from day one — every query, every output, every user action that touches PHI gets logged to a retention-compliant store. For Detroit health networks running Epic or Cerner, we connect through the official FHIR R4 APIs using scoped OAuth credentials, never broad admin access. The compliance documentation we produce at handoff is written for the organization's compliance officer and legal team to review before go-live, not just for the IT team.

For Rocket-tier mortgage and lending operations, the relevant regulatory surface includes RESPA, TILA-RESPA Integrated Disclosure rules, FCRA data handling, and CFPB examination readiness. The builds that tend to help most in this environment aren't the ones that touch the loan decisioning itself — that's heavily regulated and rightfully so — but the ones that handle the surrounding operations: document intake and classification, compliance checklist tracking, investor reporting summaries, and internal knowledge tools that let ops teams find the right procedure without a senior analyst in the loop. For RIA and broker-dealer operations, FINRA recordkeeping requirements mean any tool that touches client communications or recommendations needs to be scoped carefully to stay out of the investment-advice lane. We scope builds to the administrative and operational workflows where the regulatory risk is lower and the efficiency gain is clearest, and we document the data flows so your compliance team can sign off before anything goes live.

The $99 AI readiness audit is where most mid-market businesses in Detroit start, and for good reason. Before committing to a build, it's worth understanding which workflows are actually costing the most time and money — because the obvious candidate isn't always the highest-leverage one. The audit maps your current tools, identifies where manual work is compressing margins, and produces a prioritized list of automation candidates with rough effort estimates. For auto-supplier businesses, the first build is often a supplier-communication or schedule-acknowledgment workflow. For professional services firms, it tends to be document intake or a knowledge-retrieval tool that gets answers out of internal files without a senior person in the loop. For healthcare-adjacent operations, it's usually scheduling or referral coordination. The pattern is consistent: one workflow, done right, paid back in the first quarter — then a decision about what to tackle next based on what the first build taught you about how your team actually works.

Project basis first, always. Every engagement starts with either the $99 audit or a defined fixed-price build with a clear scope and delivery timeline — no ongoing commitment required to start. Retainers exist for businesses that want integration upkeep, prompt tuning as their workflows evolve, or onboarding support for new team members, but that's a decision made after a build ships and you've seen what it does. For Detroit automotive suppliers dealing with seasonal production schedule swings, that kind of ongoing support tends to be useful because the workflow parameters change with the model year. For smaller professional services firms, a single build often runs fine without active maintenance for six to twelve months. We don't structure engagements to manufacture dependency. The goal is a build that works without us holding your hand, and an honest conversation about whether retainer support actually makes sense for your situation.