What Is Resolvd and How Does It Work?
Resolvd is an AI platform that deploys digital workers — sets of AI agents combined with automated workflows — to handle back-office hospital supply chain tasks. Upon visiting the site, the landing page immediately shows a live simulation: a digital worker reading invoice INV-44218 from Cardinal Health, matching SKU to contract, and posting a $12,400 variance to a recovery queue. This concrete example sets the tone: Resolvd is not about dashboards; it is about doing the work. The digital workers cover rebate recovery, contract compliance, AP automation, and an upcoming purchased services module. Each worker is a self-contained agent that reads contracts, reconciles data, sends vendor emails, and updates the ERP. The platform emphasizes a shared underlying architecture of components like contract reader, ERP writer, and vendor emailer, so deploying the next worker takes weeks instead of years.
Exploring the Onboarding and Free Audit Tier
When testing the free tier, I observed that the starting point is a free rebate audit. The site prompts users to “Start a free rebate audit,” which likely involves submitting 12 months of data for a contingency audit. This low-risk entry is smart for a tool targeting risk-averse healthcare organizations. The dashboard imagery shows a real-time agent status panel with timestamps, contract matches, and variance postings. It feels like a combination of a RPA dashboard and a conversational AI interface. The onboarding flow appears to focus on quick integration: the site claims digital workers can be deployed “in weeks,” not months, because they are built on a shared agentic platform. I appreciate the transparency around which workers are live (rebates, compliance, AP) and which are in development (purchased services, Q3 2026).
Pricing and Competitive Positioning
Pricing is not publicly listed on the website. The only offer is a free rebate audit, which suggests a contingent or outcome-based pricing model — likely a percentage of recovered funds or a subscription per worker. This is common in healthcare automation but makes comparison tricky. Unlike broader supply chain platforms like Coupa or Aera Technology, Resolvd focuses exclusively on hospital supply chain back office. It competes indirectly with ERP automation modules (e.g., Oracle AP automation) and with other healthcare AI startups like Olive, but Olive’s focus was broader and less specialized in supply chain contract recovery. Resolvd’s specificity is both its strength and limitation: it solves a very defined $250B admin spend problem, but hospitals with general procurement needs may need multiple tools. The thesis is compelling: hospitals lose 1–3% of supply spend annually due to missed rebates and contract compliance. For a $500M supply spend, that is $5–15M leakage. Resolvd claims to recover real dollars directly, not just produce reports.
Verdict: Strengths, Limitations, and Recommendation
Resolvd’s genuine strength is its focus on actionable output: digital workers that post credits, email vendors, and update ERPs automatically. The platform’s reuse of agent components across workers reduces deployment friction. I am also impressed by the honest positioning — the site explicitly states that software alone has not solved the problem, and that digital workers are needed to do the work humans no longer have time for. However, limitations exist. The tool is only for hospital supply chain; any organization outside healthcare will not benefit. The pricing opacity may frustrate buyers needing a budget. Additionally, the technology stack behind the agents is not detailed — no mention of LLMs, models, or API availability — which matters for IT evaluation. The upcoming purchased services worker is not yet available. For hospital supply chain leaders with shrinking teams who are bleeding millions in contract leakage, Resolvd offers a promising, results-oriented solution. I recommend starting with the free rebate audit to assess whether the digital workers can deliver on their promises. Visit Resolvd at https://resolvd.ai/ to explore it yourself.
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