Discover key insights from Resilinc, Blue Yonder, and Accenture on accelerating disruption response, strengthening supply chain resilience, and protecting patient care.
Why Faster Disruption Response Matters in Life Sciences
Life sciences supply chains are heavily outsourced. A single injectable can depend on a contract manufacturer, contracted carriers, a 3PL warehouse, and several tiers of upstream suppliers across multiple continents. When a disruption hits, teams must coordinate a response across many external parties, and every delay puts patient care at risk.
In a recent webinar hosted by Blue Yonder, supply chain experts explored how life sciences organizations can accelerate disruption response, improve collaboration, and protect patient care. The discussion featured Shirell James, VP of Supply Chain Advisory at Blue Yonder; Lauren Brethauer, Life Sciences Supply Chain and Engineering Consulting Leader at Accenture; and Rick Freeman, Senior Director of Expert Services, and Wendy McHenry, Senior Director of Solutions Consulting, both from Resilinc. Here are the key takeaways.
1. Most organizations have a strategy. Execution is where they stall.
Shirell opened by describing why life sciences is a difficult environment for disruption management:
“When you’re managing disruptions across a life sciences supply chain that’s so outsourced, there’s a lot of coordination that needs to happen.”
That coordination spans the contract manufacturer, carriers, and the downstream 3PL, and every handoff adds time to resolution.
Rick agreed and pointed to execution as the common failure point. “I don’t feel like most companies really have a strategy problem. I feel like they have a good idea of where they want to go. It’s more around the execution to me.” Risk insights sit in disconnected systems, escalation paths are unclear, and responses still run on email. The result, in his words: “Organizations often know what they should do, but they literally cannot move fast enough to do it.”
2. Governance gives teams the authority to act
Governance came up repeatedly. Lauren emphasized that companies that get resilience right embed it end to end from product design and engineering through last mile delivery, and they build “the governance model and the authority to act on a decision, not just recommend one.”
She outlined a model Accenture sees working well: central coordination with distributed execution. A central team sets standards, maintains a common view of risk, and aligns across the enterprise, while functions and sites make and execute decisions closest to suppliers, products, and vendors.
That structure runs on a regular cadence:
- Daily: alerts are monitored, validated, and routed
- Weekly: a risk sync connects functions, tracks mitigations, and surfaces improvement opportunities
- Monthly: a supply chain risk committee drives mitigation plans, deep dives, and post-mortems
- Executive level: senior leadership sees both the disruptions resolved quickly and the disruptions avoided
Lauren pointed out:
“Governance is by no means the most glamorous, but it is the foundation.”
Lauren also noted that operational, tactical, and strategic risk each need a different governance model, different stakeholders, and different data.
3. A useful alert carries business context
Rick walked through how Resilinc’s supply chain risk and compliance solution detects disruptions. The agentic AI platform monitors more than 100 million data sources in 108 languages around the clock, covering news, government agencies, regulators, social media, and company announcements. Those signals are matched against customer data from ERP, bills of materials, and procurement systems to determine whether an event is real, whether it is relevant, and what it touches.
Filtering is a large part of the value. “Nobody needs a whole bunch of alerts,” Rick said. He described the difference between a generic alert and one with context: “There was a factory fire, it’s been confirmed at the supplier, there are 18 materials impacted, you’ve got one site and you have 9.4 million in projected revenue exposure.”
The target is to move from event to alert in minutes. When this work was manual, it could take weeks. Rick emphacized:
“It’s a race. The first to act on a disruption is the company that usually wins.”
4. Multi-tier mapping exposes concentration you may not know you have
Alerts are only possible when the network is mapped well below tier 1. Rick used an injectable drug as an example: sterile fill and finish in Puerto Rico, vials and syringes from Europe, API from India, and raw materials from China. Most teams have a direct relationship with only one or two of those tiers, and procurement typically works with tier 1 suppliers alone. The deeper tiers, where many disruptions start, stay out of view.
Resilinc combines your materials and supplier data with more than 16 years of supplier intelligence, validated site-level data, and AI-powered discovery to map your supply chain across multiple tiers. By connecting materials to the specific manufacturing sites that produce them, you can trace disruptions at sub-tier suppliers to the products they impact, identify hidden dependencies, and take action faster. Some Resilinc customers have achieved visibility up to 10 tiers deep.
In the demo, Wendy showed a network with more than 13,000 suppliers at tier 3. One example stood out: a company that believed it had diversified its sterile packaging across several tier 1 suppliers found that all of them traced back to a single sub-tier supplier. The same mapping view surfaced rare earth materials and their geographic origin, along with compliance exposure such as EUDR risk deep in the supply chain.
5. Supplier outreach should start when the event does
Once exposure is identified, the next step is confirming impact. “As soon as an event occurs, the system automatically knows which suppliers are in scope. It reaches out and asks if they’re impacted or not,” Rick explained. Suppliers that are affected can share recovery time and other context directly in the platform.
That outreach answers the operational questions that matter most: “Is my product going to be impacted? Is my revenue going to be impacted? Are my patients going to be impacted?”
Wendy showed how a team can see which suppliers have confirmed impact, identify single-sourced parts, review business continuity plans and recovery times, and launch a workflow for alternate sourcing. Rick added that for life sciences, any decision about alternative supply has to account for regulatory, qualification, and quality requirements.
6. Detection has to connect to the transactions in flight
Shirell explained what happens after a disruption is confirmed. The Blue Yonder Network captures active transactions across the supply chain, including orders placed on CMOs, shipments between CMOs and markets, shipments to hospitals, and inventory in 3PL warehouses. When a Resilinc risk event flows in, the platform identifies which orders and shipments are affected, what that means for downstream inventory and patient service, and which options are available, such as expediting, sourcing inventory from another location, or placing additional orders.
This view is built on transactional data rather than master data, so it shows which sites depend on a supplier in the coming weeks. It also reaches people outside the risk function. “This is not just risk managers; it could be a transport manager who now is able to see the impact that risk event is having on their transport operations,” Shirell said.
The urgency is specific to the industry, Shirell noted:
“In life sciences, you can’t have long recovery times. You have a patient commitment and there is someone who needs health care at the end of that supply chain.”
Rick described why the handoff works only when the signal is specific. A report of a factory fire on its own gives Blue Yonder nothing to act on. A report that names the site, the parts made there, and the products they map to gives the execution layer what it needs. The common failure points he sees are incomplete mapping, inconsistent records across multiple ERP systems after mergers and acquisitions, and unclear ownership of the response.
Lauren added that better visibility often exposes a governance gap.
“When you see that multi-tier risk in near real time, the question shifts from what do we know to who acts on it?”
7. AI compresses the timeline, but people still make the call
Shirell called AI “a game changer when it comes to risk management.” It can quickly sort through risk events and transactional data, identify which orders have direct patient impact, and recommend a resolution that is actually executable. “You don’t want to expedite something if there isn’t capacity at a warehouse to process it, for example,” she said.
The panel agreed that human oversight stays. “We’re talking about decisions that affect patients and I don’t think you’ll ever get away from human-in-the-loop,” Shirell said. Full autonomy in life sciences would require extensive validation and data that is fully accurate.
Rick framed the balance in terms of where people spend their time. “You want humans in the loop, like we’ve talked about, but only at the point where they need to make a decision.” Pulling data together from spreadsheets and chasing contacts is where response time disappears. “Let technology do that tactical low-value work.”
8. Common misconceptions slow progress
During the audience Q&A, each panelist named a misconception they encounter often.
- Waiting for perfect data. “You may not have perfect data, but you probably have enough to be directionally correct. So don’t stall,” Rick said. In his experience working with hundreds of companies, not one has ever reported that its data was perfect.
- Treating visibility as resilience. “Seeing a disruption and responding to one are two different things,” Lauren said. Supplier mapping and alerts are a starting point.
- Treating risk investment as a cost. Shirell stressed that “investment in resilience is ultimately a cost avoidance,” since it reduces the need for buffer inventory, higher cost to serve, margin impact, and patient impact.
What good looks like in 18 to 24 months
The panelists described the markers of a mature program:
- Shorter time to respond and recover. Shirell named these as key KPIs, along with making response activation digital so that information can be reused when disruptions recur.
- Current knowledge of critical dependencies. Rick described an organization that understands the sub-tier dependencies behind its most critical products, can confirm impact with suppliers quickly, and activates an owned response. Over time, risk data should inform decisions as early as the design phase.
- Resilience as standard practice. For Lauren, the goal is a governance cadence that runs without prompting. “Signals are reliably becoming decisions within hours.”
Where to start
Lauren recommended a rapid maturity assessment as the first step. Procurement, planning, and quality often see an organization’s resilience maturity differently, and Accenture’s assessment produces a peer benchmark score in two to three weeks.
Rick’s closing advice was practical: “Make your critical supply dependencies visible before the next disruption.” Start with the products that have the biggest impact on patients or revenue, understand the sites and materials behind them, keep that information current, and connect it to clear response ownership. Then test the process, prove it out, and expand.
Shirell emphasized the order of operations. A control tower or command center that receives irrelevant risk events will be overwhelmed, so the first step is analyzing disruptions and identifying the ones that matter before passing them to execution platforms for resolution.
Watch the full webinar on demand
The full session includes more key insights from our experts, live demos of Resilinc’s supply chain risk and compliance platform, and Blue Yonder’s operational response view.
