Insights for the Molecular Lab.

Molecular workflows are connected systems. The stakeholders making decisions about them usually aren’t. Major lab initiatives — vendor selections, platform migrations, automation rollouts, new assay launches, M&A integration — fail at the seams between groups more often than they fail on technical merit. Each group brings its own priorities, scope, and lens — and evaluates rigorously within it. What’s missing is the unified view across the connected workflow that no single function is positioned to provide. The cost of that gap compounds long before anyone names it. This Insight surfaces those gaps at either point in the lifecycle: pre-initiative (before commitments are made and the misalignment becomes expensive) or post-mortem (when an initiative has stalled or failed, and the path forward depends on understanding what actually broke down between groups).

• Stakeholder belief map: documented current understanding of initiative purpose, scope, success criteria, timeline, and ownership across each major stakeholder group
• Divergence register: explicit catalog of where stakeholder beliefs diverge, ranked by severity of likely downstream impact (or, in post-mortem mode, where divergences caused the observed failure)
• Implicit assumption surface: assumptions each group made about scope, ownership, or success that were never validated with other groups
• Failure mode pre-mortem (pre-initiative) or root-cause analysis (post-mortem): documented scenarios in which the divergences become — or already became — project failures
• Decision-readiness assessment (pre-initiative) or path-forward readiness assessment (post-mortem): whether the initiative is currently structured to succeed or to fail

Before you can evaluate a vendor, select a platform, or scope an implementation, you need a clear picture of where you are today. This engagement produces a documented current-state assessment across the ten domains that determine whether any technology investment succeeds or stalls — gaps rated by severity, system boundaries defined, and a prioritized remediation list you can act on before a vendor walks in the door.

• Scored readiness assessment across 10 domains: end-to-end workflow, system inventory and architecture, IT infrastructure, change governance, data architecture and PHI boundaries, regulatory validation and quality operations, staffing and change capacity, budget and total cost of adoption, vendor governance and implementation partnership, and security/risk/continuity
• Gap report with severity ratings and prioritized remediation list
• System boundary memo: what belongs in your LIMS vs. what must stay in the LIS/EMR — before any vendor decides for you
• RACI matrix covering integration ownership and system SME assignments by platform
• Decision-ready leadership summary for IT, executive, and budget stakeholders

Most labs invest in the next system before they have mapped the workflow that system has to slot into. This engagement produces that map: a full-stack current-state workflow model from sample accession through report delivery, capacity analysis at each node, identification of where constraints migrate as throughput grows, and a prioritized investment roadmap grounded in how your system actually behaves — not in vendor claims.

• Full-stack current-state workflow map: sample accession → liquid handler → LIMS → instrument → middleware → LIS/EHR → report delivery
• Peak capacity model at each node, benchmarked against current and projected volume
• Rate-limiting node analysis: which nodes become limiting at what throughput threshold
• Integration risk register: data handoff points, failure modes, and maintenance exposure at each node
• Investment summary memo: areas of investment surfaced by the analysis, with rationale grounded in node-level evidence and sequencing considerations

Vendors know their platform. They don’t know how it will behave inside your workflow. The result is a business case accurate in the abstract but blind to the upstream and downstream effects that determine whether the projected ROI actually shows up — integration burden, change control overhead, compensating effort across adjacent systems. Independent modeling closes that gap. This engagement produces an independent business case built from interviews with your techs and admin, anchored to your actual data — with every assumption documented, every caveat named, and every metric traceable to its source.

• Stakeholder interview summary: lab tech and administrative interviews synthesized without vendor bias
• Operational data summary: documented baseline metrics with sources and confidence levels
• Independent ROI / TCO model with risk-adjusted scenarios over a defined horizon
• Investment brief structured for leadership or budget committee review
• Scenario analysis across two client-selected variables — tested against the ROI/TCO model with documented trade-off analysis