AI Consulting in Columbus

NAIC statutory filing formats — SAP financials, IRIS ratios, quarterly and annual statement blanks — are structured but demanding to assemble manually. When we build automation for carrier operations teams, we start by mapping the exact data sources that feed each statutory exhibit: general ledger extracts, claims system exports, reinsurance schedules. The automation pulls from those source systems, maps to the prescribed field structure, and surfaces exceptions for human review before anything goes to the state. We never design for straight-through processing on regulatory filings — a human signs off on every output before submission. The build handles the extraction, transformation, and assembly work that eats staff hours; the compliance officer handles attestation. We also design for versioning, so when NAIC updates a blank or Ohio's Department of Insurance issues a filing bulletin, the template layer is the thing that changes, not the entire workflow.

Banking operations in Columbus operate under overlapping regulatory frameworks — OCC guidance, CFPB rules, Reg E dispute timelines, internal audit requirements. When we scope automation for back-office banking workflows, the first conversation is always about the audit trail. Every automated action needs a log that shows what the system read, what decision it made, and when. For dispute resolution workflows, that means capturing the intake, the evidence pulled from transaction history, and the resolution determination in a format that satisfies the bank's internal audit team and any eventual exam request. We route exceptions — anything the automation flags as outside its confidence threshold — to human review queues rather than forcing a determination. We also scope access carefully: a build for account servicing touches only the data it needs, through scoped service credentials, not shared admin accounts. The engineering documentation we hand over is written so the bank's compliance and risk team can review it before go-live.

Healthcare distribution introduces HIPAA exposure at specific points — primarily when product tracking or order data is linked to covered entities or individual patient-level information. The first step in any healthcare supply chain engagement is identifying which data elements are PHI and which are purely commercial. A lot of distribution workflow data — purchase orders, 3PL shipment records, inventory positions — doesn't touch PHI at all, and that work can be automated without HIPAA-specific controls. Where PHI does appear, we route those data flows through infrastructure with appropriate safeguards: BAAs with any third-party model providers, no PHI in prompt payloads, logging that captures what was accessed without duplicating the sensitive data itself. For Columbus-based distribution operations, the practical starting point is usually a workflow map that separates the PHI-adjacent steps from the purely operational ones, so we can scope the build to the high-volume, lower-risk workflows first and treat the PHI-adjacent steps with the additional controls they require.

Most mid-market operators in Columbus have the same three or four workflows eating their operations staff: manual invoice reconciliation, email-based approval chains that lose things, onboarding paperwork assembled by hand, and reporting that requires someone to pull from three systems and build a spreadsheet every week. The $99 AI readiness audit is specifically built for this starting point — it maps your actual workflows, identifies the one or two with the clearest path to automation, and gives you a written prioritization with realistic time and cost estimates. You don't need a dedicated IT team or a six-figure software budget to get meaningful leverage from automation. A regional retailer reconciling 400 vendor invoices a month manually is a well-defined, solvable problem. So is a professional services firm whose proposal assembly process takes a senior person three hours every time. We scope fixed-price builds, typically two to four weeks, for exactly these workflows. The audit tells you which one to do first.

Most engagements move to a monthly retainer after the initial build ships. What that covers depends on the workflow. For insurance carrier operations teams, it typically means prompt and logic updates when NAIC blanks change or the state issues a new filing requirement mid-year. For banking back-office automations, it covers integration upkeep when the core banking system pushes an API change that breaks a data pull. For supply chain workflows, it handles exception pattern updates as vendor data formats drift. The retainer also covers onboarding for new operations staff — making sure the tools are wired into a new hire's first week rather than discovered months later. Rates and scope are fixed in the retainer agreement, so there's no hourly billing for routine maintenance requests. Same engineering team that built it. No re-explaining the workflow to a new consultant every quarter.