AI Workflow Implementation in Bethesda, MD

Yes, and it's one of the more common Bethesda use cases we see. eRA Commons doesn't have a polished public API, but it does support structured exports and the institutional electronic research administration systems (Cayuse, Kuali, InfoEd, Workday Grants) that sit upstream of it do have APIs we can pull from cleanly. The pattern we usually ship: a pipeline that reads milestone and financial data from your institutional system, pulls publication updates from PubMed or the PI's reference manager, drafts the RPPR narrative sections with citations back to source, and produces a structured document the program manager edits and submits manually. We do not auto-submit to eRA Commons — that submission is a federally signed action and the human in the loop stays. Sub-award reporting follows the same pattern: pull from your sub-recipient invoicing and milestone data, reformat to the prime award's required cadence, draft the report. The audit phase maps which of your specific systems are in scope before any credentials are exchanged.

Three controls, layered. First, we route any workload that touches PHI through HIPAA-eligible infrastructure — typically AWS Bedrock with a signed BAA for model calls, and Cloudflare Workers running inside an account scoped only to non-PHI orchestration steps. Model providers (Anthropic, OpenAI via Azure, AWS-hosted models) sign zero-retention and zero-training DPAs that become part of the engagement file. Second, we respect existing data-segregation: if your IRB protocol requires de-identification before any external processing, the de-identification step happens inside your network or VPC before anything leaves the perimeter, and the build documentation shows the data flow on paper for your privacy officer to review pre-launch. Third, on the Walter Reed and federal-partnership side, if the work falls under DoD or VA data handling requirements (FedRAMP Moderate, IL4, etc.) we'll tell you up front whether the proposed architecture clears those requirements or whether the build needs to live entirely on-premise. We don't pretend HIPAA-eligible covers federal-data requirements it doesn't.

Implementation engagements are fixed-price against a scoped workflow, two to three weeks of build time. Pricing depends on integration count and whether the workflow needs HIPAA-eligible deployment, but the typical Bethesda engagement lands in the mid-five-figure range for one well-scoped capability — a single workflow done end-to-end with documentation, runbook, and team training. That's the build. Before the build, the readiness audit gives you a written prioritization of three to five candidate workflows ranked by effort and leverage, which is usually how clients decide which one to scope first. After the build, a light monthly retainer covers prompt tuning, integration upkeep when upstream APIs change, and incremental automation of adjacent workflows — but the retainer is optional and you can take the build and run it with your own team. We do not pad scope or push retainers as a default.

Both, and the right answer depends on the security posture of the workflow. For research orgs and biotech clients with on-prem systems or air-gapped environments, we can schedule on-site discovery and integration sessions across the Bethesda, Rockville, and Walter Reed corridor — same time zone, same-week scheduling. For corporate and Marriott-corridor clients running fully cloud-native stacks, engagements typically run remote with a kickoff call, weekly working sessions, and a final on-site or video handover for team training. The audit and $497 Founder Review Call are remote by default, but if the firm wants the founder in the room for the kickoff or executive readout, that's available without travel surcharge for any client inside the DMV.

Most ai consulting firms sell strategy decks or license seats in platforms they're paid to recommend. A larger ai automation agency typically runs a discovery-to-proposal cycle measured in months before any workflow ships. Golden Horizons operates differently: fixed price, fixed scope, two to three week build, no platform commissions. The $99 audit exists so you get a written prioritization before any build dollars are committed — not a sales pitch, an actual artifact you can take to your PI or COO. And because the founder works every Bethesda engagement directly, there's no hand-off to a junior team that's never read an NIH F&A cost table. The tradeoff is we take fewer engagements. If speed, transparency on pricing, and direct access to the person doing the build matter to your org, that's the fit.